title
Elasticsearch Tutorial for Beginners

description
Welcome to this video on Elastic Stack Tutorial. In this video we will see How to Install ElasticSearch Logstash and Kibana on Windows 10 (ELK Stack) (Elastic Stack) . Elasticsearch is a distributed, open source search and analytics engine, designed for horizontal scalability, reliability, and easy management. Logstash is a flexible, open source data collection, enrichment, and transportation pipeline.Filebeat is a lightweight application for reading log files and forwarding to Logstash. #ElasticSearch #Logstash #Kibana #ELKStack #ElasticStack ★★★Top Online Courses From ProgrammingKnowledge ★★★ Python Programming Course ➡️ http://bit.ly/2vsuMaS ⚫️ http://bit.ly/2GOaeQB Java Programming Course ➡️ http://bit.ly/2GEfQMf ⚫️ http://bit.ly/2Vvjy4a Bash Shell Scripting Course ➡️ http://bit.ly/2DBVF0C ⚫️ http://bit.ly/2UM06vF Linux Command Line Tutorials ➡️ http://bit.ly/2IXuil0 ⚫️ http://bit.ly/2IXukt8 C Programming Course ➡️ http://bit.ly/2GQCiD1 ⚫️ http://bit.ly/2ZGN6ej C++ Programming Course ➡️ http://bit.ly/2V4oEVJ ⚫️ http://bit.ly/2XMvqMs PHP Programming Course ➡️ http://bit.ly/2XP71WH ⚫️ http://bit.ly/2vs3od6 Android Development Course ➡️ http://bit.ly/2UHih5H ⚫️ http://bit.ly/2IMhVci C# Programming Course ➡️ http://bit.ly/2Vr7HEl ⚫️ http://bit.ly/2W6RXTU JavaFx Programming Course ➡️ http://bit.ly/2XMvZWA ⚫️ http://bit.ly/2V2CoAi NodeJs Programming Course ➡️ http://bit.ly/2GPg7gA ⚫️ http://bit.ly/2GQYTQ2 Jenkins Course For Developers and DevOps ➡️ http://bit.ly/2Wd4l4W ⚫️ http://bit.ly/2J1B1ug Scala Programming Tutorial Course ➡️ http://bit.ly/2PysyA4 ⚫️ http://bit.ly/2PCaVj2 Bootstrap Responsive Web Design Tutorial ➡️ http://bit.ly/2DFQ2yC ⚫️ http://bit.ly/2VoJWwH MongoDB Tutorial Course ➡️ http://bit.ly/2LaCJfP ⚫️ http://bit.ly/2WaI7Ap QT C++ GUI Tutorial For Beginners ➡️ http://bit.ly/2vwqHSZ ★★★ Online Courses to learn ★★★ Get 2 FREE Months of Unlimited Classes from skillshare - https://skillshare.eqcm.net/r1KEj Data Science - http://bit.ly/2lD9h5L | http://bit.ly/2lI8wIl Machine Learning - http://bit.ly/2WGGQpb | http://bit.ly/2GghLXX Artificial Intelligence - http://bit.ly/2lYqaYx | http://bit.ly/2NmaPya MERN Stack E-Degree Program - http://bit.ly/2kx2NFe | http://bit.ly/2lWj4no DevOps E-degree - http://bit.ly/2k1PwUQ | http://bit.ly/2k8Ypfy Data Analytics with R - http://bit.ly/2lBKqz8 | http://bit.ly/2lAjos3 AWS Certification Training - http://bit.ly/2kmLtTu | http://bit.ly/2lAkQL1 Projects in Java - http://bit.ly/2kzn25d | http://bit.ly/2lBMffs Machine Learning With TensorFlow - http://bit.ly/2m1z3AF | http://bit.ly/2lBMhnA Angular 8 - Complete Essential Guide - http://bit.ly/2lYvYRP Kotlin Android Development Masterclass - http://bit.ly/2GcblsI Learn iOS Programming Building Advance Projects - http://bit.ly/2kyX7ue ★★★ Follow ★★★ My Website - http://www.codebind.com DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!

detail
{'title': 'Elasticsearch Tutorial for Beginners', 'heatmap': [{'end': 373.038, 'start': 221.112, 'weight': 1}, {'end': 746.729, 'start': 592.128, 'weight': 0.724}, {'end': 1044.945, 'start': 815.302, 'weight': 0.721}, {'end': 1708.109, 'start': 1631.845, 'weight': 0.733}, {'end': 4376.928, 'start': 4300.434, 'weight': 0.933}], 'summary': 'This elasticsearch tutorial for beginners covers the benefits of elasticsearch, setting up elasticsearch and kibana on mac, basics of rest apis, logstash and iot data processing, querying, full text queries, and using python with elasticsearch, offering a comprehensive understanding of elasticsearch functionalities and practical applications.', 'chapters': [{'end': 339.676, 'segs': [{'end': 47.652, 'src': 'embed', 'start': 0.709, 'weight': 0, 'content': [{'end': 2.33, 'text': 'So what is Elasticsearch?', 'start': 0.709, 'duration': 1.621}, {'end': 12.456, 'text': 'Elasticsearch is a distributed open-source search and analytics engine for all types of data, including textual, numerical, geospatial,', 'start': 3.531, 'duration': 8.925}, {'end': 13.777, 'text': 'structured and unstructured data.', 'start': 12.456, 'duration': 1.321}, {'end': 19.46, 'text': 'Elasticsearch is built on Apache Lucene and was first released in 2010.', 'start': 14.377, 'duration': 5.083}, {'end': 27.085, 'text': 'Elasticsearch is the central component of the Elastic Stack, a set of open-source tools for data ingestion, enrichment, storage,', 'start': 19.46, 'duration': 7.625}, {'end': 28.826, 'text': 'analysis and visualization.', 'start': 27.085, 'duration': 1.741}, {'end': 34.508, 'text': 'It is known for its simple REST APIs, distributed nature, speed, and scalability.', 'start': 29.686, 'duration': 4.822}, {'end': 40.89, 'text': 'It is commonly referred to as the ELK stack, which includes Elasticsearch, Logstash, and Kibana.', 'start': 35.248, 'duration': 5.642}, {'end': 43.571, 'text': "We'll talk about Logstash and Kibana later.", 'start': 41.35, 'duration': 2.221}, {'end': 47.652, 'text': "Let's actually see what Elasticsearch means in very simple terms.", 'start': 44.271, 'duration': 3.381}], 'summary': 'Elasticsearch is a distributed open-source search and analytics engine, part of the elk stack, first released in 2010.', 'duration': 46.943, 'max_score': 0.709, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc709.jpg'}, {'end': 144.55, 'src': 'embed', 'start': 119.172, 'weight': 4, 'content': [{'end': 129.459, 'text': 'This can be achieved by adopting NoSQL rather than RDBMS or Relational Database Management System for storing data.', 'start': 119.172, 'duration': 10.287}, {'end': 133.782, 'text': 'Elasticsearch is one such NoSQL distributed database.', 'start': 130.419, 'duration': 3.363}, {'end': 144.55, 'text': 'The speed and scalability of Elasticsearch and its ability to index many types of content mean that it can be used for many cases.', 'start': 136.044, 'duration': 8.506}], 'summary': 'Adopt nosql, like elasticsearch, for speed and scalability.', 'duration': 25.378, 'max_score': 119.172, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc119172.jpg'}, {'end': 219.691, 'src': 'embed', 'start': 194.654, 'weight': 5, 'content': [{'end': 203.637, 'text': 'So Kibana is used for data visualization and it also provides a very handy search bar which can be used to search your database in Elasticsearch.', 'start': 194.654, 'duration': 8.983}, {'end': 213.607, 'text': 'Now, this diagram shows how a query is executed for retrieval of information behind the scenes in Elasticsearch.', 'start': 206.482, 'duration': 7.125}, {'end': 219.691, 'text': 'After indexing the data into Elasticsearch, the user writes a query to fetch some data.', 'start': 214.627, 'duration': 5.064}], 'summary': 'Kibana visualizes data and provides a search bar for elasticsearch. users query indexed data for retrieval.', 'duration': 25.037, 'max_score': 194.654, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc194654.jpg'}, {'end': 292.089, 'src': 'embed', 'start': 268.901, 'weight': 6, 'content': [{'end': 278.823, 'text': 'A cluster is a collection of one or more servers that together hold entire data and give federated indexing and search capabilities across all servers.', 'start': 268.901, 'duration': 9.922}, {'end': 283.244, 'text': 'For relational databases, the node is dbintents.', 'start': 279.564, 'duration': 3.68}, {'end': 285.785, 'text': 'They can be n nodes with the same cluster name.', 'start': 283.705, 'duration': 2.08}, {'end': 289.127, 'text': 'Next is near real time.', 'start': 287.685, 'duration': 1.442}, {'end': 292.089, 'text': 'This is one of the popular features of Elasticsearch.', 'start': 289.607, 'duration': 2.482}], 'summary': 'Elasticsearch clusters provide federated indexing and search across multiple servers, supporting near real-time operations.', 'duration': 23.188, 'max_score': 268.901, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc268901.jpg'}], 'start': 0.709, 'title': 'Elasticsearch benefits', 'summary': 'Introduces elasticsearch, a distributed open-source search and analytics engine known for its simple rest apis, distributed nature, speed, and scalability. it discusses the benefits of using elasticsearch, including its ability to store and retrieve data in json document form, its speed and scalability, and its applications in various fields such as e-commerce, search engines, logging, and data analytics.', 'chapters': [{'end': 47.652, 'start': 0.709, 'title': 'Introduction to elasticsearch', 'summary': 'Introduces elasticsearch, a distributed open-source search and analytics engine for all types of data, including textual, numerical, geospatial, structured and unstructured data, built on apache lucene and first released in 2010, known for its simple rest apis, distributed nature, speed, and scalability, and forms the central component of the elk stack.', 'duration': 46.943, 'highlights': ['Elasticsearch is a distributed open-source search and analytics engine for all types of data, including textual, numerical, geospatial, structured and unstructured data, built on Apache Lucene and first released in 2010.', 'It is known for its simple REST APIs, distributed nature, speed, and scalability.', 'Elasticsearch is the central component of the Elastic Stack, a set of open-source tools for data ingestion, enrichment, storage, analysis and visualization.', 'It is commonly referred to as the ELK stack, which includes Elasticsearch, Logstash, and Kibana.']}, {'end': 339.676, 'start': 48.292, 'title': 'Elasticsearch: benefits and functionality', 'summary': 'Discusses the benefits of using elasticsearch, including its ability to store and retrieve data in json document form, its speed and scalability, and its applications in various fields such as e-commerce, search engines, logging, and data analytics.', 'duration': 291.384, 'highlights': ["Elasticsearch is a NoSQL distributed database that offers speed, scalability, and the ability to index various types of content, making it suitable for applications such as website search, enterprise search, logging, and data analytics. Elasticsearch's speed, scalability, and versatility make it suitable for various applications, including website search and data analytics.", 'Elasticsearch allows users to run complex queries and use aggregations to retrieve complex summaries of their data, while Kibana is used for data visualization and provides a search bar for database search. Elasticsearch enables complex querying and data visualization through Kibana, improving data analysis and visualization capabilities.', "A cluster in Elasticsearch is a collection of one or more servers that hold entire data and provide federated indexing and search capabilities across all servers. Elasticsearch's cluster feature allows federated indexing and search capabilities across multiple servers, enhancing data accessibility and search efficiency."]}], 'duration': 338.967, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc709.jpg', 'highlights': ['Elasticsearch is a distributed open-source search and analytics engine for all types of data, including textual, numerical, geospatial, structured and unstructured data, built on Apache Lucene and first released in 2010.', 'It is known for its simple REST APIs, distributed nature, speed, and scalability.', 'Elasticsearch is the central component of the Elastic Stack, a set of open-source tools for data ingestion, enrichment, storage, analysis and visualization.', 'It is commonly referred to as the ELK stack, which includes Elasticsearch, Logstash, and Kibana.', 'Elasticsearch is a NoSQL distributed database that offers speed, scalability, and the ability to index various types of content, making it suitable for applications such as website search, enterprise search, logging, and data analytics.', 'Elasticsearch allows users to run complex queries and use aggregations to retrieve complex summaries of their data, while Kibana is used for data visualization and provides a search bar for database search.', 'A cluster in Elasticsearch is a collection of one or more servers that hold entire data and provide federated indexing and search capabilities across all servers.']}, {'end': 969.619, 'segs': [{'end': 386.549, 'src': 'embed', 'start': 339.676, 'weight': 0, 'content': [{'end': 346.464, 'text': 'and this we had seen in the previous slide about the diagram where an index is divided into shard 1 to shard n.', 'start': 339.676, 'duration': 6.788}, {'end': 354.157, 'text': "Now in this video we'll actually set up Elasticsearch and Kibana on a MacBook Air laptop.", 'start': 347.768, 'duration': 6.389}, {'end': 364.63, 'text': 'Now the process might be different just a little bit different for Windows and Mac but after one point the process is the same for both.', 'start': 354.737, 'duration': 9.893}, {'end': 366.492, 'text': "So, let's start.", 'start': 365.691, 'duration': 0.801}, {'end': 373.038, 'text': 'Now, the best way to learn about Elasticsearch or to set up Elasticsearch is to go through the Elasticsearch documentation.', 'start': 367.213, 'duration': 5.825}, {'end': 379.383, 'text': "You can also learn about it through documentation as well and you don't need to go through some external tutorials for this.", 'start': 373.598, 'duration': 5.785}, {'end': 386.549, 'text': "So, even in this video, we'll actually go through the documentation and learn from it and actually set it up from scratch.", 'start': 380.404, 'duration': 6.145}], 'summary': 'Setting up elasticsearch and kibana on a macbook air, process similar for windows and mac, following elasticsearch documentation.', 'duration': 46.873, 'max_score': 339.676, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc339676.jpg'}, {'end': 548.276, 'src': 'embed', 'start': 514.96, 'weight': 5, 'content': [{'end': 516.84, 'text': 'i will not be showing that process here.', 'start': 514.96, 'duration': 1.88}, {'end': 521.802, 'text': 'so make sure that you install java jdk first the newest version,', 'start': 516.84, 'duration': 4.962}, {'end': 526.904, 'text': 'or update your java jdk so that you can actually run elasticsearch and kibana on your computer,', 'start': 521.802, 'duration': 5.102}, {'end': 531.886, 'text': "because if you don't have the updated version or the jdk, then you will bump it.", 'start': 526.904, 'duration': 4.982}, {'end': 536.788, 'text': 'you will come up with some errors in future which you will not be able to actually debug,', 'start': 531.886, 'duration': 4.902}, {'end': 541.331, 'text': 'because it will be really hidden that the JDK is not required,', 'start': 536.788, 'duration': 4.543}, {'end': 548.276, 'text': 'and I had gone through this problem when I was actually setting up Elasticsearch for my own laptop and I had to update my JDK.', 'start': 541.331, 'duration': 6.945}], 'summary': 'Install latest java jdk to run elasticsearch and kibana error-free.', 'duration': 33.316, 'max_score': 514.96, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc514960.jpg'}, {'end': 746.729, 'src': 'heatmap', 'start': 592.128, 'weight': 0.724, 'content': [{'end': 595.71, 'text': 'so you can see bin here, the binary folder.', 'start': 592.128, 'duration': 3.582}, {'end': 602.024, 'text': 'we need to go inside bin and then we need to run elasticsearch.', 'start': 595.71, 'duration': 6.314}, {'end': 609.007, 'text': 'so here, as you can see, you see a lot of elasticsearch modules, but we need to only run the one which only says elasticsearch.', 'start': 602.024, 'duration': 6.983}, {'end': 616.93, 'text': 'so to run it, what you can do is just type dot, slash elasticsearch and that is enough to actually run elasticsearch on your laptop.', 'start': 609.007, 'duration': 7.923}, {'end': 622.61, 'text': 'now this might take some time, depending upon the RAM you have in your laptop.', 'start': 618.188, 'duration': 4.422}, {'end': 625.571, 'text': 'it might change, but should be done.', 'start': 622.61, 'duration': 2.961}, {'end': 629.393, 'text': 'it should not take more than a minute or more than two minutes.', 'start': 625.571, 'duration': 3.822}, {'end': 631.394, 'text': "let's see how much time it takes for me.", 'start': 629.393, 'duration': 2.001}, {'end': 638.037, 'text': 'so first it do you see a lot of things here, so just ignore them for now, unless you run into some error and this process actually closes.', 'start': 631.394, 'duration': 6.643}, {'end': 647.803, 'text': "so it's currently loading some plugins, but there were no plugins found and then it was trying to actually set up a local server.", 'start': 638.937, 'duration': 8.866}, {'end': 654.207, 'text': 'so you will see where we can actually see our Elasticsearch server running and then you have the cluster.', 'start': 647.803, 'duration': 6.404}, {'end': 656.348, 'text': 'so we talked about cluster in the previous video.', 'start': 654.207, 'duration': 2.141}, {'end': 663.753, 'text': 'the link is in the description and the health is now from red to yellow and it does not show yellow to green.', 'start': 656.348, 'duration': 7.405}, {'end': 664.494, 'text': "so we'll see that now.", 'start': 663.753, 'duration': 0.741}, {'end': 671.184, 'text': 'Now, to actually see that you have your server running of Elasticsearch, go to the localhost 9200 port.', 'start': 665.819, 'duration': 5.365}, {'end': 671.985, 'text': 'So 127.0.0.1 colon 9200.', 'start': 671.264, 'duration': 0.721}, {'end': 677.41, 'text': "So on your localhost, the 9200 port is for Elasticsearch and let's click enter.", 'start': 671.985, 'duration': 5.425}, {'end': 688.249, 'text': 'As you can see, we get some JSON data here.', 'start': 685.208, 'duration': 3.041}, {'end': 690.85, 'text': 'You can see raw JSON data here.', 'start': 688.709, 'duration': 2.141}, {'end': 694.052, 'text': "But since I'm using Firefox, you get a pretty version of it.", 'start': 690.99, 'duration': 3.062}, {'end': 696.433, 'text': 'And the tagline is, you know, for search.', 'start': 694.832, 'duration': 1.601}, {'end': 705.116, 'text': 'But this is not enough actually to see if your Elasticsearch is running properly or not, or if the health is actually green or not.', 'start': 697.093, 'duration': 8.023}, {'end': 707.737, 'text': "So we'll actually see a different way of doing this.", 'start': 705.697, 'duration': 2.04}, {'end': 710.639, 'text': "But let's just say that this is running properly for now.", 'start': 707.898, 'duration': 2.741}, {'end': 721.094, 'text': "let's actually set up kibana, so open up a new terminal, or just open up a new tab in your terminal, and let's go to downloads again,", 'start': 711.832, 'duration': 9.262}, {'end': 725.975, 'text': 'where we have kibana installed the folder.', 'start': 721.094, 'duration': 4.881}, {'end': 727.075, 'text': "let's just let me just find it.", 'start': 725.975, 'duration': 1.1}, {'end': 737.617, 'text': "yes, we have it here, and let's go into the kibana folder and again the same process for kibana as it's it as it was for elasticsearch.", 'start': 727.075, 'duration': 10.542}, {'end': 746.729, 'text': 'go inside the binary folder, bin and again dot slash, just type kibana, and that should be more than enough.', 'start': 737.617, 'duration': 9.112}], 'summary': 'Run elasticsearch and kibana, check health at localhost:9200.', 'duration': 154.601, 'max_score': 592.128, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc592128.jpg'}, {'end': 811.797, 'src': 'embed', 'start': 782.83, 'weight': 2, 'content': [{'end': 784.671, 'text': "there's a lot of information here.", 'start': 782.83, 'duration': 1.841}, {'end': 786.031, 'text': "don't worry about that.", 'start': 784.671, 'duration': 1.36}, {'end': 792.292, 'text': 'just make sure that the status for kibana changes from yellow to green, because kibana has to be green when it runs.', 'start': 786.031, 'duration': 6.261}, {'end': 794.293, 'text': 'only then it will be running properly.', 'start': 792.292, 'duration': 2.001}, {'end': 802.635, 'text': 'if the status is only yellow, then you might come up with some errors, and the server here is running at localhost port 5601.', 'start': 794.293, 'duration': 8.342}, {'end': 808.356, 'text': 'so elasticsearch was running on 9200 and kibana is on 5601.', 'start': 802.635, 'duration': 5.721}, {'end': 811.797, 'text': "let's go and actually run it and see what we get.", 'start': 808.356, 'duration': 3.441}], 'summary': 'Ensure kibana status changes from yellow to green for proper functioning at localhost port 5601.', 'duration': 28.967, 'max_score': 782.83, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc782830.jpg'}, {'end': 933.767, 'src': 'embed', 'start': 908.377, 'weight': 3, 'content': [{'end': 914.582, 'text': 'but there is a better way of actually running these commands, because you will be doing this all the time with elasticsearch,', 'start': 908.377, 'duration': 6.205}, {'end': 921.41, 'text': 'you will be actually using a lot of APIs to upload your data or to remove it, delete it, change it.', 'start': 914.582, 'duration': 6.828}, {'end': 927.519, 'text': "so there's a better way of actually using these commands, not on the terminal but on Kibana.", 'start': 921.41, 'duration': 6.109}, {'end': 933.767, 'text': 'so copy this as curl, go to your Kibana server and click on this tool or developer tools,', 'start': 927.519, 'duration': 6.248}], 'summary': "Use kibana's developer tools to efficiently run elasticsearch commands and apis.", 'duration': 25.39, 'max_score': 908.377, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc908377.jpg'}], 'start': 339.676, 'title': 'Setting up elasticsearch and kibana', 'summary': "Covers the process of setting up elasticsearch and kibana on a mac, emphasizing the importance of learning from elasticsearch documentation, having the most updated java jdk version, and verifying the cluster's status.", 'chapters': [{'end': 386.549, 'start': 339.676, 'title': 'Setting up elasticsearch and kibana', 'summary': 'Covers setting up elasticsearch and kibana on a macbook air, emphasizing the similarity of the setup process for windows and mac, and the importance of learning from elasticsearch documentation to set it up from scratch.', 'duration': 46.873, 'highlights': ['The setup process for Elasticsearch and Kibana is demonstrated on a MacBook Air, with minimal differences between Windows and Mac setups, ensuring a streamlined experience for users.', 'Emphasizing the significance of learning from Elasticsearch documentation to set up the system from scratch, rather than relying on external tutorials, promoting self-sufficiency and comprehensive understanding of the process.']}, {'end': 969.619, 'start': 387.867, 'title': 'Setting up elasticsearch and kibana', 'summary': "Outlines the process of downloading, extracting, and setting up elasticsearch and kibana on a mac, emphasizing the importance of having the most updated java jdk version and verifying the cluster's status.", 'duration': 581.752, 'highlights': ["The importance of having the most updated Java JDK version in order to run Elasticsearch and Kibana on a computer, based on the speaker's previous experience. The speaker emphasizes that without an updated Java JDK version, errors may occur when setting up Elasticsearch and Kibana.", "Instructions on setting up Elasticsearch by navigating to the appropriate folders and running elasticsearch, along with guidance on verifying the server's status on localhost 9200. The speaker provides step-by-step instructions for setting up and verifying the status of Elasticsearch on the local machine.", "Guidance on setting up Kibana, including navigating to the Kibana folder, running Kibana, and checking the server's status on localhost 5601. Step-by-step instructions for setting up Kibana and verifying its status on the local machine are provided.", "Recommendation to use Kibana's console as an alternative to the terminal for running Elasticsearch APIs, with a demonstration of pasting and executing a curl command in Kibana's console. The speaker suggests using Kibana's console as a more convenient method for running Elasticsearch APIs and demonstrates how to use it with a curl command."]}], 'duration': 629.943, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc339676.jpg', 'highlights': ['Emphasizing the significance of learning from Elasticsearch documentation to set up the system from scratch, rather than relying on external tutorials, promoting self-sufficiency and comprehensive understanding of the process.', "Instructions on setting up Elasticsearch by navigating to the appropriate folders and running elasticsearch, along with guidance on verifying the server's status on localhost 9200. The speaker provides step-by-step instructions for setting up and verifying the status of Elasticsearch on the local machine.", "Guidance on setting up Kibana, including navigating to the Kibana folder, running Kibana, and checking the server's status on localhost 5601. Step-by-step instructions for setting up Kibana and verifying its status on the local machine are provided.", "Recommendation to use Kibana's console as an alternative to the terminal for running Elasticsearch APIs, with a demonstration of pasting and executing a curl command in Kibana's console. The speaker suggests using Kibana's console as a more convenient method for running Elasticsearch APIs and demonstrates how to use it with a curl command.", 'The setup process for Elasticsearch and Kibana is demonstrated on a MacBook Air, with minimal differences between Windows and Mac setups, ensuring a streamlined experience for users.', "The importance of having the most updated Java JDK version in order to run Elasticsearch and Kibana on a computer, based on the speaker's previous experience. The speaker emphasizes that without an updated Java JDK version, errors may occur when setting up Elasticsearch and Kibana."]}, {'end': 1813.54, 'segs': [{'end': 1296.963, 'src': 'embed', 'start': 1260.11, 'weight': 0, 'content': [{'end': 1263.952, 'text': "so let's just wait and hope that Elasticsearch server runs properly.", 'start': 1260.11, 'duration': 3.842}, {'end': 1274.219, 'text': 'I think it looks good.', 'start': 1263.952, 'duration': 10.267}, {'end': 1277.301, 'text': "the health status has changed from red to yellow, so that's good.", 'start': 1274.219, 'duration': 3.082}, {'end': 1282.492, 'text': "Let's wait and yeah, let's test it.", 'start': 1278.608, 'duration': 3.884}, {'end': 1287.836, 'text': 'So localhost port 9200 is where your Elasticsearch server is going to be there.', 'start': 1282.672, 'duration': 5.164}, {'end': 1294.562, 'text': "Let's refresh this and yes, as you can see Elasticsearch is up and running.", 'start': 1288.496, 'duration': 6.066}, {'end': 1296.963, 'text': 'now we need to run kibana.', 'start': 1295.322, 'duration': 1.641}], 'summary': 'Elasticsearch server health status changed from red to yellow, indicating improvement. kibana setup is next.', 'duration': 36.853, 'max_score': 1260.11, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc1260110.jpg'}, {'end': 1543.924, 'src': 'embed', 'start': 1503.813, 'weight': 1, 'content': [{'end': 1508.237, 'text': "So mapping is another property in Elasticsearch or another concept which we'll talk about in the next video.", 'start': 1503.813, 'duration': 4.424}, {'end': 1515.423, 'text': 'Mapping is very important to know how to structure your data and to add some conditions or add some boundaries to your data.', 'start': 1508.757, 'duration': 6.666}, {'end': 1520.607, 'text': 'For example, if I only want an integer where there is an age parameter, I can use mapping to do that.', 'start': 1515.483, 'duration': 5.124}, {'end': 1522.689, 'text': "So we'll talk about mapping in the next video.", 'start': 1520.627, 'duration': 2.062}, {'end': 1526.473, 'text': "But for now, we'll talk about the REST APIs and we'll get into the basics of searching.", 'start': 1522.729, 'duration': 3.744}, {'end': 1532.778, 'text': 'So we have the index API, which can be used to add some JSON document into Elasticsearch.', 'start': 1527.875, 'duration': 4.903}, {'end': 1534.839, 'text': 'Next is the get API.', 'start': 1533.638, 'duration': 1.201}, {'end': 1542.303, 'text': 'So once we have some data in Elasticsearch, we have to get that back, right? We have to see what we have inside our index.', 'start': 1534.919, 'duration': 7.384}, {'end': 1543.924, 'text': 'So for that, we use the get API.', 'start': 1542.484, 'duration': 1.44}], 'summary': 'Elasticsearch mapping and rest apis basics covered in the next video. index api and get api explained.', 'duration': 40.111, 'max_score': 1503.813, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc1503813.jpg'}, {'end': 1596.638, 'src': 'embed', 'start': 1568.44, 'weight': 4, 'content': [{'end': 1571.923, 'text': 'or you can use the dev tools by kibana to do the same thing again.', 'start': 1568.44, 'duration': 3.483}, {'end': 1580.328, 'text': 'All of them do the same thing, but I think the console or the DevTools console by Kibana is the best way to do it,', 'start': 1572.643, 'duration': 7.685}, {'end': 1586.892, 'text': "because it helps you see the output right in front of you and there's nothing else other than your query and the output.", 'start': 1580.328, 'duration': 6.564}, {'end': 1594.777, 'text': "When you use Postman, there's a lot of other things which intimidate you or confuse you, as, because it did to me, and if you use your browser,", 'start': 1587.512, 'duration': 7.265}, {'end': 1596.638, 'text': 'it is really not the best interface for that.', 'start': 1594.777, 'duration': 1.861}], 'summary': 'Using devtools console by kibana is the best way to see query output directly.', 'duration': 28.198, 'max_score': 1568.44, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc1568440.jpg'}, {'end': 1708.109, 'src': 'heatmap', 'start': 1631.845, 'weight': 0.733, 'content': [{'end': 1640.413, 'text': "And let's use the get API to actually get some results back and also use the get API to know how search works.", 'start': 1631.845, 'duration': 8.568}, {'end': 1645.715, 'text': 'So basically in elastic search, you want to search something.', 'start': 1641.434, 'duration': 4.281}, {'end': 1648.616, 'text': 'So that means you want to see the results of that search right?', 'start': 1645.975, 'duration': 2.641}, {'end': 1657.198, 'text': "If I want to search for elastic search or search for programming knowledge, I'll see or I'll get some results back right?", 'start': 1649.156, 'duration': 8.042}, {'end': 1661.438, 'text': 'That is why we use the get API to perform searching in elastic search.', 'start': 1657.758, 'duration': 3.68}, {'end': 1663.839, 'text': "So let's see that in action.", 'start': 1662.859, 'duration': 0.98}, {'end': 1675.328, 'text': "Let's actually just replace post with get and remove this and let's see if we can get the 7th document again.", 'start': 1665.246, 'duration': 10.082}, {'end': 1678.169, 'text': 'Yes, so we get the 7th document.', 'start': 1676.308, 'duration': 1.861}, {'end': 1680.689, 'text': "Let's see if there's a 6.", 'start': 1678.769, 'duration': 1.92}, {'end': 1684.31, 'text': 'Yes Is there a 2? Yes, there is.', 'start': 1680.689, 'duration': 3.621}, {'end': 1687.771, 'text': 'Awesome So that is how we get the documents back.', 'start': 1684.71, 'duration': 3.061}, {'end': 1689.731, 'text': "And now let's see how search works.", 'start': 1688.291, 'duration': 1.44}, {'end': 1696.221, 'text': 'So again, to learn anything about Elasticsearch, the documentation is the place to go.', 'start': 1690.816, 'duration': 5.405}, {'end': 1700.104, 'text': 'They have an amazing documentation and they teach everything from scratch.', 'start': 1696.661, 'duration': 3.443}, {'end': 1708.109, 'text': "So, as you can see, we can use the Get API to search for something and will not use this example because we don't have a bank index right now.", 'start': 1701.225, 'duration': 6.884}], 'summary': 'Using the get api to search and retrieve documents in elasticsearch.', 'duration': 76.264, 'max_score': 1631.845, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc1631845.jpg'}], 'start': 969.619, 'title': 'Elasticsearch basics and rest apis', 'summary': 'Covers the basics of installing and using elasticsearch and kibana, including indexing documents, utilizing rest apis, and visualizing data. it also explains the process of running elasticsearch and kibana, with a focus on health status and server setup.', 'chapters': [{'end': 1522.689, 'start': 969.619, 'title': 'Elasticsearch basics and rest apis', 'summary': 'Covers the basics of installing and using elasticsearch and kibana, including indexing documents, utilizing rest apis, and visualizing data. it also explains the process of running elasticsearch and kibana, with a focus on health status and server setup.', 'duration': 553.07, 'highlights': ['The process of running Elasticsearch and Kibana, with a focus on health status and server setup. The chapter describes the process of running Elasticsearch and Kibana, including monitoring the health status, with the server changing from red to yellow and eventually to green, indicating successful setup.', "Basics of indexing documents, utilizing REST APIs, and visualizing data. The chapter explains the basics of indexing documents into Elasticsearch, utilizing REST APIs such as put and post, and visualizing the indexed data using Kibana's developer tools for real-time output and code debugging.", 'Explanation of the index API and mapping concept in Elasticsearch. The chapter discusses the index API, which is crucial for adding or updating JSON documents in an index, and introduces the mapping concept, emphasizing its role in structuring data and setting boundaries for specific data fields, such as integers for age parameters.']}, {'end': 1813.54, 'start': 1522.729, 'title': 'Elasticsearch rest apis basics', 'summary': 'Covers the basics of using elasticsearch rest apis, including the index api for adding json documents, the get api for retrieving data, and the search api for performing searches, with emphasis on using the kibana devtools for query execution and result visualization.', 'duration': 290.811, 'highlights': ['The chapter covers the basics of using Elasticsearch REST APIs The transcript discusses the fundamentals of utilizing Elasticsearch REST APIs, including the index, get, delete, and update APIs.', 'Emphasis on using the Kibana DevTools for query execution and result visualization The transcript highlights the preference for using Kibana DevTools over other tools like Postman or browsers for executing queries and visualizing results, as it provides a more intuitive and straightforward experience.', 'Use of the search API for performing searches in Elasticsearch The transcript explains the use of the search API for conducting searches in Elasticsearch, demonstrating how to use the get API to search for specific data and interpret the results, such as the number of hits for a given search query.', 'Explanation of using the index API for adding JSON documents The transcript provides an overview of using the index API to add JSON documents into Elasticsearch and the subsequent use of the get API to retrieve the added data from the index.']}], 'duration': 843.921, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc969619.jpg', 'highlights': ['The process of running Elasticsearch and Kibana, with a focus on health status and server setup. The chapter describes the process of running Elasticsearch and Kibana, including monitoring the health status, with the server changing from red to yellow and eventually to green, indicating successful setup.', "Basics of indexing documents, utilizing REST APIs, and visualizing data. The chapter explains the basics of indexing documents into Elasticsearch, utilizing REST APIs such as put and post, and visualizing the indexed data using Kibana's developer tools for real-time output and code debugging.", 'Explanation of the index API and mapping concept in Elasticsearch. The chapter discusses the index API, which is crucial for adding or updating JSON documents in an index, and introduces the mapping concept, emphasizing its role in structuring data and setting boundaries for specific data fields, such as integers for age parameters.', 'The chapter covers the basics of using Elasticsearch REST APIs The transcript discusses the fundamentals of utilizing Elasticsearch REST APIs, including the index, get, delete, and update APIs.', 'Emphasis on using the Kibana DevTools for query execution and result visualization The transcript highlights the preference for using Kibana DevTools over other tools like Postman or browsers for executing queries and visualizing results, as it provides a more intuitive and straightforward experience.', 'Use of the search API for performing searches in Elasticsearch The transcript explains the use of the search API for conducting searches in Elasticsearch, demonstrating how to use the get API to search for specific data and interpret the results, such as the number of hits for a given search query.', 'Explanation of using the index API for adding JSON documents The transcript provides an overview of using the index API to add JSON documents into Elasticsearch and the subsequent use of the get API to retrieve the added data from the index.']}, {'end': 2270.076, 'segs': [{'end': 1847.143, 'src': 'embed', 'start': 1814.361, 'weight': 0, 'content': [{'end': 1818.103, 'text': 'So it also serves for the substring elastic search in this entire string.', 'start': 1814.361, 'duration': 3.742}, {'end': 1822.465, 'text': 'That is how good the query is and the search API is.', 'start': 1818.423, 'duration': 4.042}, {'end': 1826.694, 'text': 'So yeah, this is how you can actually search in Elasticsearch.', 'start': 1823.933, 'duration': 2.761}, {'end': 1833.617, 'text': 'Logstash is a tool based on the filter pipes patterns for gathering, processing, and generating the logs or events.', 'start': 1827.034, 'duration': 6.583}, {'end': 1840.22, 'text': 'It helps in centralizing and making real-time analysis of logs and events from different sources.', 'start': 1834.258, 'duration': 5.962}, {'end': 1847.143, 'text': 'Logstash is written on JRuby programming language that runs on a Java virtual machine.', 'start': 1841.421, 'duration': 5.722}], 'summary': 'Elasticsearch enables substring search; logstash centralizes log analysis from various sources.', 'duration': 32.782, 'max_score': 1814.361, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc1814361.jpg'}, {'end': 1965.577, 'src': 'embed', 'start': 1862.273, 'weight': 1, 'content': [{'end': 1869.357, 'text': 'The data source can be social data, e-commerce data, news, financial data, IoT devices, mobile devices, etc.', 'start': 1862.273, 'duration': 7.084}, {'end': 1876.26, 'text': 'So Logstash is a plugin based data collection and processing engine.', 'start': 1872.478, 'duration': 3.782}, {'end': 1881.249, 'text': 'It comes with a wide range of plugins that make it possible, with easily configured,', 'start': 1876.886, 'duration': 4.363}, {'end': 1885.112, 'text': 'to collect process and forward data in many different architectures.', 'start': 1881.249, 'duration': 3.863}, {'end': 1889.115, 'text': 'Processing is organized into one or more pipelines.', 'start': 1886.273, 'duration': 2.842}, {'end': 1896.36, 'text': 'In each pipeline, one or more input plugins receive or collect data that is then placed on an internal queue.', 'start': 1889.955, 'duration': 6.405}, {'end': 1907.661, 'text': 'This is by default small and held in memory, but can be configured to be larger and persisted on disk in order to improve reliability and resiliency.', 'start': 1897.221, 'duration': 10.44}, {'end': 1912.222, 'text': "So let's talk about some general features.", 'start': 1910.622, 'duration': 1.6}, {'end': 1917.864, 'text': 'Logstash can collect data from different sources and send to multiple destinations.', 'start': 1913.583, 'duration': 4.281}, {'end': 1922.406, 'text': 'It can also handle multiple HTTP requests and respond data.', 'start': 1918.984, 'duration': 3.422}, {'end': 1931.995, 'text': 'Logstash can handle all types of logging data, as we discussed, and some More include Apache logs, Windows event logs, data overnetwork protocols,', 'start': 1923.526, 'duration': 8.469}, {'end': 1933.356, 'text': 'data from standard input and more.', 'start': 1931.995, 'duration': 1.361}, {'end': 1939.458, 'text': 'So it can work on all your operating systems and can deal with any type of data which you want it to handle.', 'start': 1933.716, 'duration': 5.742}, {'end': 1947, 'text': 'LogStash also provides a variety of filters, which helps the user to find more meaning in the data by passing and transforming it.', 'start': 1940.778, 'duration': 6.222}, {'end': 1952.502, 'text': 'Next, LogStash can also be used for handling census data in IoT.', 'start': 1949.041, 'duration': 3.461}, {'end': 1957.755, 'text': "Let's talk about some key concepts when we jump into Logstash.", 'start': 1955.174, 'duration': 2.581}, {'end': 1959.815, 'text': 'So the first is the event object.', 'start': 1958.275, 'duration': 1.54}, {'end': 1965.577, 'text': 'It is the main object in Logstash and it encapsulates the data flow in the Logstash pipeline.', 'start': 1960.395, 'duration': 5.182}], 'summary': 'Logstash is a versatile data collection and processing engine that can handle various data sources, including social data, e-commerce data, news, financial data, iot devices, and more, while providing features such as multiple source collection, handling of various logging data types, and utilization of filters for data transformation.', 'duration': 103.304, 'max_score': 1862.273, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc1862273.jpg'}, {'end': 2050.585, 'src': 'embed', 'start': 2025.113, 'weight': 4, 'content': [{'end': 2034.197, 'text': 'A developer can use predefined regex patterns from Logstash to create sequences for differentiating between fields in the events and criteria of accepted events.', 'start': 2025.113, 'duration': 9.084}, {'end': 2039.739, 'text': 'The last stage in the LogStash pipeline is output.', 'start': 2035.918, 'duration': 3.821}, {'end': 2044.022, 'text': 'The output events can be formatted into the structure required by the destination systems.', 'start': 2039.759, 'duration': 4.263}, {'end': 2050.585, 'text': 'Lastly, it sends the output event after complete processing to destination by using plugins.', 'start': 2045.223, 'duration': 5.362}], 'summary': 'Logstash uses predefined regex patterns for field differentiation and event formatting before sending output to destination systems.', 'duration': 25.472, 'max_score': 2025.113, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc2025113.jpg'}, {'end': 2120.083, 'src': 'embed', 'start': 2079.395, 'weight': 5, 'content': [{'end': 2083.618, 'text': 'Logstash supports a variety of web servers and data sources for extracting logging data.', 'start': 2079.395, 'duration': 4.223}, {'end': 2091.702, 'text': 'It also provides multiple plugins to parse and then transform the logging data into any desirable format and in this case is going to be JSON.', 'start': 2084.638, 'duration': 7.064}, {'end': 2097.34, 'text': 'It is a centralized software, which makes it easy to process and collect data from different servers.', 'start': 2092.833, 'duration': 4.507}, {'end': 2101.345, 'text': 'As we talked about, Logstash also uses the HTTP protocol,', 'start': 2098.321, 'duration': 3.024}, {'end': 2106.433, 'text': 'which enables the user to upgrade Elasticsearch versions without having to upgrade Logstash in a lockstep.', 'start': 2101.345, 'duration': 5.088}, {'end': 2113.14, 'text': 'There are a lot of disadvantages with LogStash, but I am mainly concerned with these two.', 'start': 2108.939, 'duration': 4.201}, {'end': 2120.083, 'text': 'So working with LogStash can sometimes be a little complex as it needs a very good understanding and analysis of the input logging data.', 'start': 2113.601, 'duration': 6.482}], 'summary': 'Logstash supports various data sources, parses data into json, and enables easy data processing and collection from different servers using http protocol.', 'duration': 40.688, 'max_score': 2079.395, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc2079395.jpg'}], 'start': 1814.361, 'title': 'Elasticsearch, logstash, and iot data processing', 'summary': "Provides an overview of elasticsearch and logstash, emphasizing their capabilities for substring search, gathering, processing, and forwarding logs from diverse sources, as well as logstash's application in iot data processing for handling census data and availability of various plugins.", 'chapters': [{'end': 1939.458, 'start': 1814.361, 'title': 'Elasticsearch and logstash overview', 'summary': 'Discusses the capabilities of elasticsearch for substring search and the functionalities of logstash in gathering, processing, and forwarding logs or events from diverse sources, highlighting its ability to collect various types of data and handle different operating systems and data sources.', 'duration': 125.097, 'highlights': ['Logstash is a plugin-based data collection and processing engine, with a wide range of plugins for easily collecting, processing, and forwarding data. It can handle different operating systems and various types of data, such as logs, packets, events, transactions, timestamps, social data, e-commerce data, news, financial data, IoT devices, and mobile devices.', 'Elasticsearch offers efficient substring search in the entire string and demonstrates the effectiveness of its query and search API.', 'Logstash can organize processing into one or more pipelines, with input plugins receiving data and placing it on an internal queue, which can be configured to improve reliability and resiliency.', 'Logstash can collect data from different sources and send it to multiple destinations, handle multiple HTTP requests and respond with data, and work with various types of logging data, including Apache logs, Windows event logs, and data over network protocols.']}, {'end': 2270.076, 'start': 1940.778, 'title': 'Understanding logstash for iot data processing', 'summary': 'Introduces logstash for iot data processing, highlighting the event object, pipeline stages (input, filter, output), advantages, disadvantages, and installation process, emphasizing its use for handling census data in iot and the availability of various plugins.', 'duration': 329.298, 'highlights': ['Logstash offers regex pattern sequences to identify and parse the various fields in an input event. Logstash provides regex pattern sequences for identifying and parsing fields in an input event, aiding in data processing and manipulation.', 'Logstash supports a variety of web servers and data sources for extracting logging data. Logstash supports diverse web servers and data sources, facilitating the extraction of logging data from various platforms and sources.', 'Logstash uses the HTTP protocol, enabling the user to upgrade Elasticsearch versions without having to upgrade Logstash in a lockstep. The use of the HTTP protocol in Logstash allows for independent upgrades of Elasticsearch versions without requiring simultaneous upgrades of Logstash, enhancing system flexibility and scalability.', 'Logstash can be complex to work with, requiring a good understanding and analysis of input logging data. Working with Logstash can be complex, necessitating a thorough understanding and analysis of input logging data, potentially posing challenges, particularly for beginners.', 'Logstash can be used for handling census data in IoT. Logstash can be employed for processing and managing census data in the context of IoT, showcasing its versatility and applicability in diverse data processing scenarios.']}], 'duration': 455.715, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc1814361.jpg', 'highlights': ['Elasticsearch offers efficient substring search in the entire string and demonstrates the effectiveness of its query and search API.', 'Logstash is a plugin-based data collection and processing engine, with a wide range of plugins for easily collecting, processing, and forwarding data. It can handle different operating systems and various types of data, such as logs, packets, events, transactions, timestamps, social data, e-commerce data, news, financial data, IoT devices, and mobile devices.', 'Logstash can organize processing into one or more pipelines, with input plugins receiving data and placing it on an internal queue, which can be configured to improve reliability and resiliency.', 'Logstash can collect data from different sources and send it to multiple destinations, handle multiple HTTP requests and respond with data, and work with various types of logging data, including Apache logs, Windows event logs, and data over network protocols.', 'Logstash offers regex pattern sequences to identify and parse the various fields in an input event. Logstash provides regex pattern sequences for identifying and parsing fields in an input event, aiding in data processing and manipulation.', 'Logstash supports a variety of web servers and data sources for extracting logging data. Logstash supports diverse web servers and data sources, facilitating the extraction of logging data from various platforms and sources.', 'Logstash uses the HTTP protocol, enabling the user to upgrade Elasticsearch versions without having to upgrade Logstash in a lockstep. The use of the HTTP protocol in Logstash allows for independent upgrades of Elasticsearch versions without requiring simultaneous upgrades of Logstash, enhancing system flexibility and scalability.', 'Logstash can be used for handling census data in IoT. Logstash can be employed for processing and managing census data in the context of IoT, showcasing its versatility and applicability in diverse data processing scenarios.']}, {'end': 3328.949, 'segs': [{'end': 2327.393, 'src': 'embed', 'start': 2296.32, 'weight': 0, 'content': [{'end': 2299.24, 'text': 'So I can use them together in the same directory.', 'start': 2296.32, 'duration': 2.92}, {'end': 2308.103, 'text': 'Then once you go inside, you have a binary file in which you have all the Logstash executables and you can use these to start Logstash.', 'start': 2300.001, 'duration': 8.102}, {'end': 2309.844, 'text': "So we'll see how that happens in a bit.", 'start': 2308.183, 'duration': 1.661}, {'end': 2311.424, 'text': 'So yeah.', 'start': 2311.204, 'duration': 0.22}, {'end': 2313.646, 'text': 'Make sure that you have.', 'start': 2312.225, 'duration': 1.421}, {'end': 2320.549, 'text': 'it is recommended that you have your Elasticsearch server, Kibana and Logstack folders in the same directory or at the same level,', 'start': 2313.646, 'duration': 6.903}, {'end': 2327.393, 'text': "so that it's easier for you to manipulate them at the same level and also use them side by side.", 'start': 2320.549, 'duration': 6.844}], 'summary': 'Logstash, elasticsearch, and kibana should be in the same directory for easier manipulation and use together.', 'duration': 31.073, 'max_score': 2296.32, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc2296320.jpg'}, {'end': 2393.141, 'src': 'embed', 'start': 2347.35, 'weight': 1, 'content': [{'end': 2352.572, 'text': 'because it has a very handy documentation which you can use all the time to actually understand how Logstash works.', 'start': 2347.35, 'duration': 5.222}, {'end': 2362.26, 'text': 'So as we discussed previously, a Logstash pipeline has two required elements, the input and the output, and an optional element called as the filter.', 'start': 2353.737, 'duration': 8.523}, {'end': 2368.821, 'text': 'The input plugins consume data from a source, the filters modify the data, and the output drives to the destination.', 'start': 2362.74, 'duration': 6.081}, {'end': 2370.842, 'text': 'And here the destination is Elasticsearch.', 'start': 2369.102, 'duration': 1.74}, {'end': 2373.403, 'text': "So we're going to perform an event.", 'start': 2371.462, 'duration': 1.941}, {'end': 2380.685, 'text': 'We are going to write something in the standard input and use that and check if that Logstash actually logged that event or not.', 'start': 2373.523, 'duration': 7.162}, {'end': 2388.2, 'text': 'So to test the Logstash installation, we run the most basic Logstash pipeline.', 'start': 2382.458, 'duration': 5.742}, {'end': 2390.26, 'text': 'So this is the most basic one.', 'start': 2388.84, 'duration': 1.42}, {'end': 2391.421, 'text': "So let's do this.", 'start': 2390.28, 'duration': 1.141}, {'end': 2393.141, 'text': "Let's copy the first line of code.", 'start': 2391.761, 'duration': 1.38}], 'summary': 'Logstash pipeline includes input, filter, and output; tested with basic event.', 'duration': 45.791, 'max_score': 2347.35, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc2347350.jpg'}, {'end': 2548.163, 'src': 'embed', 'start': 2521.408, 'weight': 3, 'content': [{'end': 2527.872, 'text': 'so, in the previous videos we have talked about how to download elasticsearch, how to get it up and running.', 'start': 2521.408, 'duration': 6.464}, {'end': 2535.836, 'text': 'we talked about how to set up kibana as well and how we can use kibana to actually look at the data in elasticsearch.', 'start': 2527.872, 'duration': 7.964}, {'end': 2540.999, 'text': 'we also talked about this technique where we can actually run queries on kibana for elasticsearch.', 'start': 2535.836, 'duration': 5.163}, {'end': 2548.163, 'text': "so we'll talk about that again and we also index some data into elasticsearch so that we can see that it's working properly.", 'start': 2540.999, 'duration': 7.164}], 'summary': 'Previous videos covered downloading, setting up elasticsearch and kibana, running queries, and indexing data for elasticsearch.', 'duration': 26.755, 'max_score': 2521.408, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc2521408.jpg'}, {'end': 2705.123, 'src': 'embed', 'start': 2665.873, 'weight': 4, 'content': [{'end': 2672.556, 'text': 'So the way you divide your batches of 100 depends on the document size and the complexity.', 'start': 2665.873, 'duration': 6.683}, {'end': 2678.278, 'text': 'So as you can see here, it also depends on the indexing, the search load, and the resources available to your cluster.', 'start': 2673.296, 'duration': 4.982}, {'end': 2682.16, 'text': 'So it also depends on the kind of memory you have in your computer.', 'start': 2678.858, 'duration': 3.302}, {'end': 2684.383, 'text': 'so, according to them?', 'start': 2683.422, 'duration': 0.961}, {'end': 2691.81, 'text': 'according to the documentation, a good place to start is with batches of 1000 to 5000 and a total payload between 5 and 15 mb.', 'start': 2684.383, 'duration': 7.427}, {'end': 2698.296, 'text': "you can see the payload information in the elastic search details, so we'll talk about that later.", 'start': 2691.81, 'duration': 6.486}, {'end': 2702.2, 'text': 'and also they wanted to experiment so that you can find the speed sweet spot for yourself.', 'start': 2698.296, 'duration': 3.904}, {'end': 2705.123, 'text': "So yeah, let's get started.", 'start': 2703.882, 'duration': 1.241}], 'summary': 'Divide batches based on document size, complexity, with 1000-5000 and 5-15mb payload, to find speed sweet spot.', 'duration': 39.25, 'max_score': 2665.873, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc2665873.jpg'}, {'end': 3087.475, 'src': 'embed', 'start': 3060.772, 'weight': 7, 'content': [{'end': 3069.445, 'text': 'So after this, when you click on the next heading, that is start searching, we can actually see how they want us to search.', 'start': 3060.772, 'duration': 8.673}, {'end': 3075.612, 'text': 'So what we need to remember before we get into this is that Elasticsearch is a NoSQL database.', 'start': 3070.45, 'duration': 5.162}, {'end': 3078.812, 'text': 'So everything is in a JSON format.', 'start': 3075.952, 'duration': 2.86}, {'end': 3079.933, 'text': 'So you have a key value pair.', 'start': 3078.832, 'duration': 1.101}, {'end': 3087.475, 'text': 'And even when searching for it, you use JSON format with the REST APIs to actually perform the search.', 'start': 3080.753, 'duration': 6.722}], 'summary': 'Elasticsearch is a nosql database using json format for key-value pair and rest apis for search.', 'duration': 26.703, 'max_score': 3060.772, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc3060772.jpg'}], 'start': 2270.076, 'title': 'Setting up logstash, elasticsearch, and kibana on mac os', 'summary': 'Covers setting up logstash on a mac os, ensuring folder configuration, and testing the installation. it also discusses configuring logstash, indexing data into elasticsearch, and running elasticsearch and kibana efficiently. additionally, it details querying data via kibana, emphasizing the simplicity of writing queries compared to sql.', 'chapters': [{'end': 2446.482, 'start': 2270.076, 'title': 'Setting up logstash on mac os', 'summary': 'Explains how to download and set up logstash on a mac os, ensuring that the elasticsearch server, kibana, and logstash folders are in the same directory, and demonstrates testing the logstash installation using a basic logstash pipeline.', 'duration': 176.406, 'highlights': ['Setting up Logstash involves downloading the Logstash folder to the home directory and ensuring that the Elasticsearch server, Kibana, and Logstash folders are in the same directory. Downloading and organizing Logstash, Elasticsearch, and Kibana in the same directory.', 'A Logstash pipeline consists of two required elements - the input and the output, and an optional element called as the filter, where the destination is Elasticsearch. Explaining the required elements of a Logstash pipeline and its destination.', 'Testing the Logstash installation involves running the most basic Logstash pipeline and using the e flag to specify the configuration directly from the command line. Demonstrating how to test the Logstash installation using a basic Logstash pipeline and the e flag.']}, {'end': 2916.24, 'start': 2446.482, 'title': 'Elasticsearch and kibana basics', 'summary': 'Discusses configuring logstash, indexing data into elasticsearch using the bulk api, and setting up and running elasticsearch and kibana, emphasizing the importance of batch size and payload for efficient search operations.', 'duration': 469.758, 'highlights': ['The chapter discusses configuring Logstash, indexing data into Elasticsearch using the bulk API, and setting up and running Elasticsearch and Kibana. The chapter provides practical guidance on configuring Logstash, indexing data into Elasticsearch using the bulk API, and setting up Elasticsearch and Kibana.', 'Emphasizes the importance of batch size and payload for efficient search operations. It emphasizes the importance of batch size and payload for efficient search operations, recommending batches of 1000 to 5000 and a total payload between 5 and 15 mb for optimal performance.', 'Discusses dividing batches for efficient operations based on document size, complexity, indexing, search load, and available resources. The chapter discusses the factors affecting the division of batches for efficient operations, such as document size, complexity, indexing, search load, and available resources.']}, {'end': 3328.949, 'start': 2916.24, 'title': 'Running elasticsearch and querying via kibana', 'summary': 'Details the process of successfully running elasticsearch and querying data via kibana, demonstrating the ease of use and direct output visualization. it also explains the basics of searching using the rest apis and json format, highlighting the intuitive nature and simplicity of writing queries compared to sql.', 'duration': 412.709, 'highlights': ['The chapter details the process of successfully running Elasticsearch and querying data via Kibana, demonstrating the ease of use and direct output visualization. It also explains the basics of searching using the REST APIs and JSON format, highlighting the intuitive nature and simplicity of writing queries compared to SQL.', 'Running the command using curl and via Kibana, with the latter providing clearer outputs, thus simplifying the process for users.', 'The server running at localhost 5601, allowing access to Kibana and the capability to run commands for Elasticsearch directly.', "The ability to use Kibana's DevTools to run commands for Elasticsearch and visualize the outputs directly, simplifying the indexing and search processes.", 'The intuitive nature of using JSON format with the REST APIs for searching in Elasticsearch, making query writing simple and easy to understand compared to SQL.', 'Explanation of the key components displayed in the search query output, including the time taken, timeouts, shards, max score, and matching documents, providing a comprehensive understanding of the search results and their significance.', 'Clarification on the self-contained nature of each search request using the search API, emphasizing the independence and lack of connection between individual requests, similar to REST API functionality.']}], 'duration': 1058.873, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc2270076.jpg', 'highlights': ['Downloading and organizing Logstash, Elasticsearch, and Kibana in the same directory.', 'Explaining the required elements of a Logstash pipeline and its destination.', 'Demonstrating how to test the Logstash installation using a basic Logstash pipeline and the e flag.', 'Providing practical guidance on configuring Logstash, indexing data into Elasticsearch using the bulk API, and setting up Elasticsearch and Kibana.', 'Emphasizing the importance of batch size and payload for efficient search operations, recommending batches of 1000 to 5000 and a total payload between 5 and 15 mb for optimal performance.', 'Discussing the factors affecting the division of batches for efficient operations, such as document size, complexity, indexing, search load, and available resources.', 'Detailing the process of successfully running Elasticsearch and querying data via Kibana, demonstrating the ease of use and direct output visualization.', 'Highlighting the intuitive nature and simplicity of writing queries compared to SQL using the REST APIs and JSON format.', 'Emphasizing the capability to run commands for Elasticsearch directly via Kibana and the intuitive nature of using JSON format with the REST APIs for searching in Elasticsearch.']}, {'end': 3848.444, 'segs': [{'end': 3374.047, 'src': 'embed', 'start': 3328.949, 'weight': 1, 'content': [{'end': 3334.652, 'text': 'but for no skill and for particularly the elastic search, each request is self-contained.', 'start': 3328.949, 'duration': 5.703}, {'end': 3340.467, 'text': "now let's look at some other uh ways we can actually search for it.", 'start': 3334.652, 'duration': 5.815}, {'end': 3347.431, 'text': 'so now, uh, to search through page hits or to search through the search, and we have the columnizing order.', 'start': 3340.467, 'duration': 6.964}, {'end': 3351.793, 'text': 'but you just need, uh, everything from 10 through 19..', 'start': 3347.431, 'duration': 4.362}, {'end': 3354.314, 'text': 'so start from 10 or start from size 10.', 'start': 3351.793, 'duration': 2.521}, {'end': 3357.976, 'text': 'sorry, start from 10 and only search until the next 10 files.', 'start': 3354.314, 'duration': 3.662}, {'end': 3360.998, 'text': 'so 10 to 19, and we can run the same thing.', 'start': 3357.976, 'duration': 3.022}, {'end': 3365.221, 'text': 'You can copy it as curl or view in console directly opens up this page.', 'start': 3361.718, 'duration': 3.503}, {'end': 3369.224, 'text': 'So Elasticsearch has this really handy thing called view in console.', 'start': 3366.021, 'duration': 3.203}, {'end': 3372.926, 'text': 'It opens up the exact same page and runs it for you, but we know how to do that.', 'start': 3369.844, 'duration': 3.082}, {'end': 3374.047, 'text': "So we'll be doing this right now.", 'start': 3372.986, 'duration': 1.061}], 'summary': 'Elasticsearch provides self-contained requests and convenient search options, with a range of 10 to 19 files.', 'duration': 45.098, 'max_score': 3328.949, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc3328949.jpg'}, {'end': 3534.047, 'src': 'embed', 'start': 3499.768, 'weight': 3, 'content': [{'end': 3503.111, 'text': 'It can have it or it should not be present in your results.', 'start': 3499.768, 'duration': 3.343}, {'end': 3505.653, 'text': "Let's see an example here.", 'start': 3504.732, 'duration': 0.921}, {'end': 3516.423, 'text': 'We need to search the bank index for accounts that belong to customers who are 40 years old, but excludes anyone who lives in Idaho or the ID of that.', 'start': 3506.894, 'duration': 9.529}, {'end': 3520.879, 'text': "place. so it's a complex query.", 'start': 3517.557, 'duration': 3.322}, {'end': 3525.802, 'text': 'so we need to use bool and the customers must be of age 40.', 'start': 3520.879, 'duration': 4.923}, {'end': 3534.047, 'text': 'so it must match the age as 40, but it should exclude or it should not match anyone who lives in id.', 'start': 3525.802, 'duration': 8.245}], 'summary': 'Complex query: search bank index for customers aged 40, excluding idaho residents.', 'duration': 34.279, 'max_score': 3499.768, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc3499768.jpg'}, {'end': 3713.382, 'src': 'embed', 'start': 3665.461, 'weight': 0, 'content': [{'end': 3677.04, 'text': 'And yeah, as you can see, all the hits here have the balance, which is greater than $20,000 and less than 30.', 'start': 3665.461, 'duration': 11.579}, {'end': 3683.143, 'text': 'And that is how you actually run or generate queries, simple queries using Elasticsearch.', 'start': 3677.04, 'duration': 6.103}, {'end': 3686.184, 'text': "In today's video, we'll go through documentation.", 'start': 3683.643, 'duration': 2.541}, {'end': 3693.887, 'text': "As I've been talking about in the previous videos that the Elasticsearch documentation is the best way to learn about Elasticsearch.", 'start': 3686.864, 'duration': 7.023}, {'end': 3696.028, 'text': 'The documentations are really clear.', 'start': 3694.408, 'duration': 1.62}, {'end': 3699.15, 'text': 'They are not complicated at all, and they are straight to the point.', 'start': 3696.068, 'duration': 3.082}, {'end': 3708.876, 'text': "In this video we'll talk about query and filter context to understand what query means and what the word filter or the keyword filter means in the Elasticsearch queries.", 'start': 3700.188, 'duration': 8.688}, {'end': 3713.382, 'text': "And we'll also talk about what is the difference between them.", 'start': 3709.917, 'duration': 3.465}], 'summary': 'Using elasticsearch to generate queries with balance >$20,000 and <$30. exploring clear and straightforward documentation, understanding query and filter context.', 'duration': 47.921, 'max_score': 3665.461, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc3665461.jpg'}, {'end': 3760.374, 'src': 'embed', 'start': 3731.067, 'weight': 6, 'content': [{'end': 3738.409, 'text': 'And the next video will actually write down some queries so that we can actually learn from them and see if they can be implemented on a real database.', 'start': 3731.067, 'duration': 7.342}, {'end': 3739.97, 'text': "So let's start.", 'start': 3739.53, 'duration': 0.44}, {'end': 3749.985, 'text': "So before we jump on to this, let's just make sure that we have Elasticsearch running and Kibana running.", 'start': 3741.357, 'duration': 8.628}, {'end': 3752.507, 'text': 'So let me just go and do that right now.', 'start': 3750.085, 'duration': 2.422}, {'end': 3760.374, 'text': "I don't know if we need to get it running for this video or not, but let's just find out.", 'start': 3755.67, 'duration': 4.704}], 'summary': 'Planning to write queries and check implementation on real database.', 'duration': 29.307, 'max_score': 3731.067, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc3731067.jpg'}], 'start': 3328.949, 'title': 'Elasticsearch functions and querying', 'summary': 'Discusses elasticsearch search functions for sorting and pagination, and the query and filter functions for simple, complex queries, and range filters. it also highlights the convenience of the view in console feature and emphasizes the importance of elasticsearch documentation.', 'chapters': [{'end': 3397.901, 'start': 3328.949, 'title': 'Elasticsearch search functions', 'summary': 'Discusses using elasticsearch to search through page hits or records, demonstrating the use of sorting and pagination to retrieve specific results, and highlights the convenience of the view in console feature for running queries directly.', 'duration': 68.952, 'highlights': ['The chapter discusses using Elasticsearch to search through page hits or records, demonstrating the use of sorting and pagination to retrieve specific results.', 'The transcript highlights the convenience of the view in console feature for running queries directly.', 'It emphasizes utilizing the sort function and size parameter for efficient search operations.']}, {'end': 3848.444, 'start': 3397.901, 'title': 'Elasticsearch query and filter', 'summary': 'Covers the usage of query and filter functions in elasticsearch, including examples of simple queries, complex queries using bool, and range filters for balancing. it also emphasizes the importance of elasticsearch documentation and previews the upcoming hands-on query writing.', 'duration': 450.543, 'highlights': ['Usage of query and filter functions in Elasticsearch The chapter covers the basic usage of query and filter functions in Elasticsearch.', 'Examples of simple queries and their results It demonstrates simple queries like matching phrases and substrings and their respective results, such as searching for addresses containing specific terms.', 'Complex queries using bool function and its criteria The usage of bool to construct complex queries with criteria like must match, should match, or must not match, illustrated with an example of searching bank accounts based on age and location.', 'Explanation of range filters and their application in Elasticsearch queries The chapter explains the application of range filters for querying based on a range of values, such as filtering accounts based on balance ranges.', 'Emphasis on the importance of Elasticsearch documentation The importance of Elasticsearch documentation is highlighted as the best way to learn about Elasticsearch, with clear and straightforward explanations.', 'Preview of upcoming hands-on query writing The chapter previews the upcoming hands-on query writing, where real database implementation will be explored, emphasizing practical learning.']}], 'duration': 519.495, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc3328949.jpg', 'highlights': ['The chapter covers the basic usage of query and filter functions in Elasticsearch.', 'It emphasizes utilizing the sort function and size parameter for efficient search operations.', 'The transcript highlights the convenience of the view in console feature for running queries directly.', 'The usage of bool to construct complex queries with criteria like must match, should match, or must not match, illustrated with an example of searching bank accounts based on age and location.', 'The chapter discusses using Elasticsearch to search through page hits or records, demonstrating the use of sorting and pagination to retrieve specific results.', 'The importance of Elasticsearch documentation is highlighted as the best way to learn about Elasticsearch, with clear and straightforward explanations.', 'The chapter previews the upcoming hands-on query writing, where real database implementation will be explored, emphasizing practical learning.']}, {'end': 4930.544, 'segs': [{'end': 3882.076, 'src': 'embed', 'start': 3850.625, 'weight': 5, 'content': [{'end': 3854.407, 'text': 'Once we get these running, we can start understanding what query and filter mean.', 'start': 3850.625, 'duration': 3.782}, {'end': 3858.166, 'text': "Yes So let's come back here.", 'start': 3855.748, 'duration': 2.418}, {'end': 3864.028, 'text': 'Now, in the previous video, we talked about the basics of searching, how we can search in Elasticsearch.', 'start': 3858.846, 'duration': 5.182}, {'end': 3868.009, 'text': 'We talked about some simple queries which were given in documentation.', 'start': 3864.648, 'duration': 3.361}, {'end': 3876.173, 'text': 'And there was something called as a relevance score when you get the output of an Elasticsearch query.', 'start': 3868.989, 'duration': 7.184}, {'end': 3882.076, 'text': "so we have to talk about that first, because it's the most important thing which elasticsearch provides.", 'start': 3876.173, 'duration': 5.903}], 'summary': 'Introduction to basics of searching in elasticsearch and relevance score importance.', 'duration': 31.451, 'max_score': 3850.625, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc3850625.jpg'}, {'end': 3946.883, 'src': 'embed', 'start': 3896.55, 'weight': 0, 'content': [{'end': 3903.373, 'text': "So we'll understand how perfectly the document which is searching for fits the query and assigns the score to it.", 'start': 3896.55, 'duration': 6.823}, {'end': 3910.396, 'text': "So the relevance score is a positive floating point number and it's under the underscore score meta field of the search API.", 'start': 3903.953, 'duration': 6.443}, {'end': 3917.419, 'text': 'So, and the relation between the score and the relevance is proportional.', 'start': 3911.076, 'duration': 6.343}, {'end': 3920.24, 'text': 'So the higher the score, the more relevant the document is.', 'start': 3917.879, 'duration': 2.361}, {'end': 3928.629, 'text': 'While each query type can calculate relevant score differently, score calculation also depends on two important things.', 'start': 3922.745, 'duration': 5.884}, {'end': 3930.851, 'text': 'So it depends on the query or the filter context.', 'start': 3928.71, 'duration': 2.141}, {'end': 3933.153, 'text': "So let's talk about query first.", 'start': 3931.892, 'duration': 1.261}, {'end': 3942.14, 'text': 'In the Elasticsearch context, a query basically answers this question how well does this document match the query clause?', 'start': 3934.254, 'duration': 7.886}, {'end': 3946.883, 'text': "So how well does this document match what you're asking for?", 'start': 3942.76, 'duration': 4.123}], 'summary': 'Relevance score in elasticsearch is a positive floating point number, directly proportional to document relevance to query.', 'duration': 50.333, 'max_score': 3896.55, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc3896550.jpg'}, {'end': 3999.569, 'src': 'embed', 'start': 3972.126, 'weight': 2, 'content': [{'end': 3976.869, 'text': 'a higher 11 score than something as a programming languages, Python and many more.', 'start': 3972.126, 'duration': 4.743}, {'end': 3985.684, 'text': 'So how you phrase your query is going to define the relevance score and give relevance score to it based on the query which you write.', 'start': 3977.63, 'duration': 8.054}, {'end': 3989.606, 'text': 'So that is something what query means.', 'start': 3987.325, 'duration': 2.281}, {'end': 3991.086, 'text': "Let's go to the filter context now.", 'start': 3989.826, 'duration': 1.26}, {'end': 3995.228, 'text': 'So filter is basically as the name suggests a filter for yes or no.', 'start': 3991.786, 'duration': 3.442}, {'end': 3999.569, 'text': 'So it just checks whether the document matches the query clause or not.', 'start': 3995.928, 'duration': 3.641}], 'summary': 'Query relevance score depends on query phrasing, filter checks document match.', 'duration': 27.443, 'max_score': 3972.126, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc3972126.jpg'}, {'end': 4119.816, 'src': 'embed', 'start': 4064.741, 'weight': 3, 'content': [{'end': 4074.266, 'text': 'it will check for the range and if the range is correct for the document, then it is yes.', 'start': 4064.741, 'duration': 9.525}, {'end': 4076.647, 'text': 'the answer is yes and the document is shown to you.', 'start': 4074.266, 'duration': 2.381}, {'end': 4079.389, 'text': "If it's no then it's not shown to you.", 'start': 4077.167, 'duration': 2.222}, {'end': 4083.751, 'text': 'So it answers a simple question which is does this document match the query clause or not.', 'start': 4079.529, 'duration': 4.222}, {'end': 4089.175, 'text': 'So frequently filters will be cached automatically.', 'start': 4086.052, 'duration': 3.123}, {'end': 4094.939, 'text': 'So this is how it works behind the scenes and your performance will be very fast.', 'start': 4089.395, 'duration': 5.544}, {'end': 4102.465, 'text': "Then let's see an example of how filter and query work.", 'start': 4096.501, 'duration': 5.964}, {'end': 4107.649, 'text': 'So we have a very nice example here given by Elasticsearch directly.', 'start': 4103.265, 'duration': 4.384}, {'end': 4111.192, 'text': 'So we are going to use the search API.', 'start': 4108.41, 'duration': 2.782}, {'end': 4112.573, 'text': 'We have a query.', 'start': 4111.813, 'duration': 0.76}, {'end': 4114.912, 'text': 'Indicates query context.', 'start': 4113.792, 'duration': 1.12}, {'end': 4116.254, 'text': 'Then we have a bool.', 'start': 4115.393, 'duration': 0.861}, {'end': 4119.816, 'text': 'Bool is basically having multiple queries inside one single query.', 'start': 4116.533, 'duration': 3.283}], 'summary': 'Elasticsearch filters documents based on query clauses, improving performance by caching frequently used filters, and utilizing the bool query for multiple queries.', 'duration': 55.075, 'max_score': 4064.741, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc4064741.jpg'}, {'end': 4376.928, 'src': 'heatmap', 'start': 4293.03, 'weight': 6, 'content': [{'end': 4300.154, 'text': 'So we have to write a query to search for addresses that have either a lane or a street in the name.', 'start': 4293.03, 'duration': 7.124}, {'end': 4308.015, 'text': 'So the address should either have a lane or a street and have a balance between 20,000 and 30,000.', 'start': 4300.434, 'duration': 7.581}, {'end': 4316.899, 'text': "So, to understand the query properly, let's just wait for Kibana Elasticsearch to load so that we can understand the parameters,", 'start': 4308.015, 'duration': 8.884}, {'end': 4324.342, 'text': 'the key value pair of our JSON data, so that we can understand this question better and then start writing the query for it.', 'start': 4316.899, 'duration': 7.443}, {'end': 4327.923, 'text': "Let's just make sure it is up and running.", 'start': 4324.362, 'duration': 3.561}, {'end': 4329.124, 'text': 'Yeah, I think it is.', 'start': 4328.384, 'duration': 0.74}, {'end': 4332.725, 'text': "Let's just refresh Kibana and see if it's here.", 'start': 4329.504, 'duration': 3.221}, {'end': 4341.298, 'text': "Yes So now before we jump on to writing the query, let's actually create an index pattern on Kibana.", 'start': 4333.286, 'duration': 8.012}, {'end': 4343.68, 'text': "So we're using the bank database.", 'start': 4341.779, 'duration': 1.901}, {'end': 4350.804, 'text': "So let's just create that so that we can visualize our dataset in Kibana as well.", 'start': 4344.54, 'duration': 6.264}, {'end': 4353.766, 'text': "And we're good to go.", 'start': 4350.824, 'duration': 2.942}, {'end': 4358.969, 'text': "So let's see how our data looks like on Kibana.", 'start': 4353.786, 'duration': 5.183}, {'end': 4360.738, 'text': 'And yeah, awesome.', 'start': 4360.097, 'duration': 0.641}, {'end': 4364.9, 'text': 'So all of our data can now be visualized on Kibana properly.', 'start': 4360.838, 'duration': 4.062}, {'end': 4367.462, 'text': 'So we can see a table view or a JSON view of the data.', 'start': 4365.1, 'duration': 2.362}, {'end': 4368.383, 'text': "That's perfect.", 'start': 4367.802, 'duration': 0.581}, {'end': 4375.087, 'text': 'Now, as you can see, our data set has an ID, the index bank, a score.', 'start': 4369.143, 'duration': 5.944}, {'end': 4376.928, 'text': 'It is zero by default.', 'start': 4375.688, 'duration': 1.24}], 'summary': 'Query to search for addresses with lane or street, balance between 20,000 and 30,000 in bank database on kibana.', 'duration': 23.869, 'max_score': 4293.03, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc4293030.jpg'}, {'end': 4804.704, 'src': 'embed', 'start': 4779.092, 'weight': 8, 'content': [{'end': 4783.835, 'text': "The first compound query which we're going to talk about, which you guys probably already know, is the Boolean query.", 'start': 4779.092, 'duration': 4.743}, {'end': 4792.201, 'text': 'So it is just a default query for combining multiple query clauses, for example, as, must, should, must not, and filter clauses.', 'start': 4784.476, 'duration': 7.725}, {'end': 4796.643, 'text': 'So whenever you use a Boolean query, you can work with multiple queries at the same time.', 'start': 4792.881, 'duration': 3.762}, {'end': 4800.226, 'text': "So let's just see an example of how this works.", 'start': 4797.484, 'duration': 2.742}, {'end': 4804.704, 'text': 'So here in the example, as you can see, we use the Boolean keyword.', 'start': 4801.783, 'duration': 2.921}], 'summary': 'Boolean query combines multiple clauses, e.g. must, should, must not, and filter, to work with multiple queries at the same time.', 'duration': 25.612, 'max_score': 4779.092, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc4779092.jpg'}, {'end': 4878.246, 'src': 'embed', 'start': 4850.773, 'weight': 7, 'content': [{'end': 4858.042, 'text': 'So boosting returns documents which match a positive query but reduce the score of documents which also match a negative query.', 'start': 4850.773, 'duration': 7.269}, {'end': 4862.027, 'text': 'So this comes into handy when we actually deal with real life use cases.', 'start': 4858.623, 'duration': 3.404}, {'end': 4867.454, 'text': "So let's see the example here first and then we can actually relate to a real life example.", 'start': 4862.808, 'duration': 4.646}, {'end': 4878.246, 'text': 'So the example given by the documentation states that if you want to up the score of the text which contains apple, you give it a positive score,', 'start': 4868.083, 'duration': 10.163}], 'summary': "Boosting returns documents matching positive query, reduces score for negative query. example: up score for text containing 'apple'.", 'duration': 27.473, 'max_score': 4850.773, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc4850773.jpg'}], 'start': 3850.625, 'title': 'Elasticsearch query and filter basics', 'summary': 'Discusses the importance of relevance scores in elasticsearch, query and filter context distinction, handling queries and filters with examples, and writing queries with specific criteria and boosting, emphasizing proper indexing for effective querying and filtering.', 'chapters': [{'end': 4040.398, 'start': 3850.625, 'title': 'Understanding relevance scores in elasticsearch', 'summary': 'Discusses the importance of relevance scores in elasticsearch, explaining how they are calculated and their significance in determining the relevance of search results, as well as the distinction between query and filter context. it also illustrates the impact of query formulation on relevance scores and describes the difference between query and filter context.', 'duration': 189.773, 'highlights': ["Importance of Relevance Scores Relevance scores are the most important aspect in Elasticsearch, as they measure how well each document matches a query and determine the document's level of relevance, with a higher score indicating greater relevance.", 'Query and Filter Context The distinction between query and filter context is explained, with query context focusing on how well a document matches the query clause to define relevance scores, while filter context simply checks if a document matches the query clause without considering relevance.', "Impact of Query Formulation The relevance score is influenced by how the query is formulated, as demonstrated by the example of finding documents containing the word 'Python' and how different books matching the query receive varying relevance scores based on their content."]}, {'end': 4375.087, 'start': 4040.398, 'title': 'Elasticsearch query and filter', 'summary': 'Explains how elasticsearch handles queries and filters, using examples to illustrate the use of range filters and bool queries, and emphasizes the importance of proper indexing for effective querying and filtering.', 'duration': 334.689, 'highlights': ['Elasticsearch behind the scenes will go through all your documents, check for the range, and if the range is correct for the document, then it is shown, resulting in fast performance. Elasticsearch efficiently processes documents by checking for correct ranges, leading to fast performance.', 'Illustration of using both query and filter in the context of finding documents matching specific criteria, emphasizing the importance of proper indexing for effective querying and filtering. Example demonstrates the use of both query and filter to retrieve documents matching specific criteria, highlighting the importance of proper indexing.', 'Importance of proper indexing for effective querying and filtering, and the need to have the dataset properly indexed in Elasticsearch before writing queries. Emphasizes the significance of proper indexing for effective querying and filtering, stressing the need for proper dataset indexing in Elasticsearch.']}, {'end': 4930.544, 'start': 4375.688, 'title': 'Elasticsearch query basics', 'summary': 'Discusses writing queries in elasticsearch to search for addresses with specific criteria, using the get api and compound queries, and introduces the concept of boosting queries with examples and real-life applications.', 'duration': 554.856, 'highlights': ['The chapter discusses writing queries in Elasticsearch to search for addresses with specific criteria The transcript explains the process of writing queries in Elasticsearch to search for addresses with specific criteria such as having either a lane or a street in the name and a balance between 20,000 and 30,000.', 'Introduces the concept of boosting queries with examples and real-life applications The transcript introduces the concept of boosting queries in Elasticsearch, providing examples and real-life applications, such as using positive and negative scores to prioritize or de-prioritize specific terms in search results.', 'Explains the use of compound queries such as the Boolean query The transcript explains the use of compound queries in Elasticsearch, particularly focusing on the Boolean query for combining multiple query clauses and filter clauses to work with multiple queries simultaneously.']}], 'duration': 1079.919, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc3850625.jpg', 'highlights': ["Relevance scores measure document's relevance, higher score indicates greater relevance", 'Query context defines relevance scores, filter context checks if document matches query', "Query formulation influences relevance score, demonstrated by 'Python' query example", 'Elasticsearch efficiently processes documents by checking for correct ranges', 'Example demonstrates use of both query and filter for effective querying and filtering', 'Proper indexing is crucial for effective querying and filtering in Elasticsearch', 'Writing queries in Elasticsearch to search for addresses with specific criteria', 'Introduction to boosting queries with examples and real-life applications', 'Explanation of compound queries, focusing on Boolean query for combining multiple queries']}, {'end': 5700.039, 'segs': [{'end': 4990.137, 'src': 'embed', 'start': 4951.217, 'weight': 0, 'content': [{'end': 4954.94, 'text': "The next query and the last query which we're going to talk about for now is the constant score query.", 'start': 4951.217, 'duration': 3.723}, {'end': 4963.804, 'text': 'Now, there might be some cases where you would like some terms in your database to have a constant score while the others might have different scores.', 'start': 4955.922, 'duration': 7.882}, {'end': 4971.566, 'text': 'So, for example, you always want the name of a person to start with R.', 'start': 4964.424, 'duration': 7.142}, {'end': 4978.467, 'text': 'So whenever you want that, you can assign that a constant score and then, when you search for those specific names,', 'start': 4971.566, 'duration': 6.901}, {'end': 4984.109, 'text': 'you get a constant list of names and the other queries which you have, the other query which you have in your component query,', 'start': 4978.467, 'duration': 5.642}, {'end': 4985.109, 'text': 'will have different scores.', 'start': 4984.109, 'duration': 1}, {'end': 4986.974, 'text': "So let's see how it works.", 'start': 4985.913, 'duration': 1.061}, {'end': 4990.137, 'text': 'This is where the boost key term comes into the picture.', 'start': 4987.995, 'duration': 2.142}], 'summary': 'Constant score query assigns a constant score to specific terms in the database, ensuring a consistent list of names when searched.', 'duration': 38.92, 'max_score': 4951.217, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc4951217.jpg'}, {'end': 5074.506, 'src': 'embed', 'start': 5050.533, 'weight': 2, 'content': [{'end': 5057.516, 'text': 'and we talked about the boosting query, where you can assign positive and negative boosts to your queries,', 'start': 5050.533, 'duration': 6.983}, {'end': 5063.699, 'text': "where the relevance of the score of documents changes based on whether it's a positive query or a negative query.", 'start': 5057.516, 'duration': 6.183}, {'end': 5068.082, 'text': 'And the last thing which we talked about in the previous video was the constant score query,', 'start': 5064.48, 'duration': 3.602}, {'end': 5074.506, 'text': 'where it wraps a query into another query and executes it in a filter context.', 'start': 5068.082, 'duration': 6.424}], 'summary': 'Boosting query assigns positive/negative boosts, relevance changes based on query. constant score query wraps and executes in filter context.', 'duration': 23.973, 'max_score': 5050.533, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc5050533.jpg'}, {'end': 5510.122, 'src': 'embed', 'start': 5481.876, 'weight': 4, 'content': [{'end': 5486.958, 'text': 'As you can see, church lanes comes last and church avenue comes before.', 'start': 5481.876, 'duration': 5.082}, {'end': 5488.398, 'text': 'now look at the score here.', 'start': 5486.958, 'duration': 1.44}, {'end': 5488.998, 'text': "that's the score.", 'start': 5488.398, 'duration': 0.6}, {'end': 5490.758, 'text': 'the score is 5.99.', 'start': 5488.998, 'duration': 1.76}, {'end': 5494.339, 'text': "let's take it as 6, and the score for the second one is 2.99.", 'start': 5490.758, 'duration': 3.581}, {'end': 5496.239, 'text': "let's take it as 3.", 'start': 5494.339, 'duration': 1.9}, {'end': 5501.02, 'text': 'so the negative boost reduce the score by half, exactly half.', 'start': 5496.239, 'duration': 4.781}, {'end': 5505.101, 'text': 'so the first uh result which we get is 36.', 'start': 5501.02, 'duration': 4.081}, {'end': 5510.122, 'text': 'search avenue has a score of 5.99 and church lane has by 2.99.', 'start': 5505.101, 'duration': 5.021}], 'summary': 'Church avenue scores 6 and church lane scores 3, getting reduced by half.', 'duration': 28.246, 'max_score': 5481.876, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc5481876.jpg'}, {'end': 5560.477, 'src': 'embed', 'start': 5532.96, 'weight': 5, 'content': [{'end': 5537.843, 'text': 'But for now we have constant query where we make sure that they have the same relevance.', 'start': 5532.96, 'duration': 4.883}, {'end': 5540.387, 'text': "So we'll be using the same example as before.", 'start': 5538.444, 'duration': 1.943}, {'end': 5543.551, 'text': 'We want Church and Lane both to be found, but with the same relevance.', 'start': 5540.447, 'duration': 3.104}, {'end': 5547.756, 'text': "So let's see how we would write the query for that.", 'start': 5544.372, 'duration': 3.384}, {'end': 5552.923, 'text': "As you can see, I'm using Kibana, the dev tools in Kibana right here.", 'start': 5548.798, 'duration': 4.125}, {'end': 5555.996, 'text': 'tool here, DevTools.', 'start': 5555.036, 'duration': 0.96}, {'end': 5560.477, 'text': 'And as you can see, you can write this in real time, search for it.', 'start': 5556.396, 'duration': 4.081}], 'summary': "Using kibana's devtools to ensure church and lane are found with the same relevance in real time.", 'duration': 27.517, 'max_score': 5532.96, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc5532960.jpg'}], 'start': 4931.243, 'title': 'Elasticsearch queries and query boosting', 'summary': 'Covers three types of elasticsearch queries: boosting query, constant score query, and boolean query, resulting in 85 hits. it also explains query boosting in elasticsearch and how to manipulate search results with positive and negative boosts, with a 0.5 negative boost reducing the score by half.', 'chapters': [{'end': 5335.96, 'start': 4931.243, 'title': 'Elasticsearch query types', 'summary': 'Introduces three types of elasticsearch queries: boosting query where positive and negative boosts are assigned to queries, constant score query which assigns a constant score to specific terms, and boolean query which combines query and filter contexts to search for addresses with specific criteria, resulting in 85 hits with relevant scores.', 'duration': 404.717, 'highlights': ['The chapter introduces three types of Elasticsearch queries: boosting query, constant score query, and boolean query, each serving different search purposes and providing specific functionalities such as assigning positive and negative boosts, assigning constant scores to specific terms, and combining query and filter contexts for specific search criteria resulting in 85 hits with relevant scores.', "The boosting query allows prioritizing certain terms over others in search results, as demonstrated by the example of searching for addresses containing both 'Church' and 'Lane', with a priority given to 'Church', showcasing the relevance and impact of boosting queries in search results.", "The constant score query enables assigning a constant score to specific terms such as names starting with 'R', serving as a filter in the filter context to ensure the presence of the term in search results, with the option to assign a custom score, providing control over the scoring of matching documents."]}, {'end': 5700.039, 'start': 5337.608, 'title': 'Understanding query boosting in elasticsearch', 'summary': "Explains the concept of query boosting in elasticsearch, demonstrating how to manipulate the order and score of search results using positive and negative boosts, with an example showing how a negative boost of 0.5 reduces the score by half, resulting in the prioritization of 'church' over 'lane' in search results.", 'duration': 362.431, 'highlights': ['The chapter explains the concept of query boosting in Elasticsearch, demonstrating how to manipulate the order and score of search results using positive and negative boosts. The explanation covers the manipulation of search results order and score using positive and negative boosts, providing insights into the practical application of query boosting in Elasticsearch.', "An example shows how a negative boost of 0.5 reduces the score by half, resulting in the prioritization of 'church' over 'lane' in search results. The example illustrates the impact of a negative boost of 0.5, effectively halving the score and prioritizing 'church' over 'lane' in the search results, providing a quantifiable demonstration of the boosting effect.", "The usage of Kibana's DevTools for real-time query writing and execution is highlighted, emphasizing its intuitive and user-friendly interface for query manipulation. The transcript emphasizes the user-friendly and real-time query writing and execution capabilities of Kibana's DevTools, showcasing its intuitive nature and convenient fragmented execution of query parts."]}], 'duration': 768.796, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc4931243.jpg', 'highlights': ['The boosting query allows prioritizing certain terms over others in search results, showcasing the relevance and impact of boosting queries in search results.', "The constant score query enables assigning a constant score to specific terms such as names starting with 'R', providing control over the scoring of matching documents.", 'The chapter introduces three types of Elasticsearch queries: boosting query, constant score query, and boolean query, each serving different search purposes and providing specific functionalities such as assigning positive and negative boosts, assigning constant scores to specific terms, and combining query and filter contexts for specific search criteria resulting in 85 hits with relevant scores.', 'The chapter explains the concept of query boosting in Elasticsearch, demonstrating how to manipulate the order and score of search results using positive and negative boosts.', "An example shows how a negative boost of 0.5 reduces the score by half, effectively halving the score and prioritizing 'church' over 'lane' in the search results, providing a quantifiable demonstration of the boosting effect.", "The usage of Kibana's DevTools for real-time query writing and execution is highlighted, emphasizing its intuitive and user-friendly interface for query manipulation."]}, {'end': 6311.724, 'segs': [{'end': 5807.24, 'src': 'embed', 'start': 5730.834, 'weight': 0, 'content': [{'end': 5737.518, 'text': "in the previous videos, we've talked about how to set up Elasticsearch, how to index our first query,", 'start': 5730.834, 'duration': 6.684}, {'end': 5745.092, 'text': 'how to upload multiple documents on Elasticsearch, and we also talked about query DSL, where we talked about query and filter,', 'start': 5737.518, 'duration': 7.574}, {'end': 5746.853, 'text': 'context and compound queries.', 'start': 5745.092, 'duration': 1.761}, {'end': 5750.514, 'text': 'Now we move on to full text queries.', 'start': 5747.633, 'duration': 2.881}, {'end': 5757.777, 'text': 'So the full text queries enable you to search analyze text fields such as the body of an email.', 'start': 5751.675, 'duration': 6.102}, {'end': 5763.28, 'text': 'The query string is processed using the same analyzer that was applied to the field during indexing.', 'start': 5758.438, 'duration': 4.842}, {'end': 5767.21, 'text': 'Now full text queries can be grouped into the following queries.', 'start': 5764.209, 'duration': 3.001}, {'end': 5769.21, 'text': 'The first is intervals query.', 'start': 5767.93, 'duration': 1.28}, {'end': 5777.553, 'text': 'So an intervals query is a full text query that allows fine grained control of the ordering and proximity of matching terms.', 'start': 5770.051, 'duration': 7.502}, {'end': 5779.113, 'text': "Let's see what this means.", 'start': 5778.173, 'duration': 0.94}, {'end': 5788.536, 'text': 'So the intervals query returns documents based on the order and proximity of matching terms.', 'start': 5781.834, 'duration': 6.702}, {'end': 5796.717, 'text': 'So the internal world query uses matching rules constructed from a small set of definitions.', 'start': 5789.514, 'duration': 7.203}, {'end': 5800.398, 'text': 'These rules are then applied to terms from a specific field.', 'start': 5797.297, 'duration': 3.101}, {'end': 5807.24, 'text': 'Now, the definitions produce sequence of minimal intervals that span terms in a body of text.', 'start': 5801.698, 'duration': 5.542}], 'summary': 'Introduction to full text queries in elasticsearch, including intervals query for fine-grained control of matching terms.', 'duration': 76.406, 'max_score': 5730.834, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc5730834.jpg'}, {'end': 5928.274, 'src': 'embed', 'start': 5904.376, 'weight': 5, 'content': [{'end': 5911.537, 'text': 'So the match query is the standard query for performing full text queries, including fuzzy matching and phrase or proximity queries.', 'start': 5904.376, 'duration': 7.161}, {'end': 5913.957, 'text': "Let's see the match query in detail.", 'start': 5912.077, 'duration': 1.88}, {'end': 5923.059, 'text': "So we have used the match query before, so we'll just make sure that you understand the example they've given in the documentation.", 'start': 5916.818, 'duration': 6.241}, {'end': 5928.274, 'text': 'It returns documents that match a provided text number, date, or Boolean value.', 'start': 5923.812, 'duration': 4.462}], 'summary': 'Match query: standard full text query with fuzzy matching, phrase or proximity queries. returns documents matching provided text, number, date, or boolean value.', 'duration': 23.898, 'max_score': 5904.376, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc5904376.jpg'}, {'end': 5998.576, 'src': 'embed', 'start': 5973.521, 'weight': 2, 'content': [{'end': 5982.686, 'text': 'So match bool prefix query creates a bool query that matches each term as a term query, except for the last term, which is matched as a prefix query.', 'start': 5973.521, 'duration': 9.165}, {'end': 5985.548, 'text': 'So we have talked about what bool is.', 'start': 5983.407, 'duration': 2.141}, {'end': 5992.272, 'text': 'Bool is to use complex queries or to make multiple queries in one single form.', 'start': 5985.768, 'duration': 6.504}, {'end': 5998.576, 'text': 'So we can use the bool query or the match bool prefix query to match each term as a term query except for the last term.', 'start': 5992.691, 'duration': 5.885}], 'summary': 'Match bool prefix query matches terms as term queries, except the last term.', 'duration': 25.055, 'max_score': 5973.521, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc5973521.jpg'}, {'end': 6185.447, 'src': 'embed', 'start': 6156.892, 'weight': 1, 'content': [{'end': 6159.494, 'text': 'The next is match phrase prefix query.', 'start': 6156.892, 'duration': 2.602}, {'end': 6164.357, 'text': 'So it is just like the match query, but it does a wildcard search on the final word.', 'start': 6160.294, 'duration': 4.063}, {'end': 6165.598, 'text': "Let's see what that means.", 'start': 6164.557, 'duration': 1.041}, {'end': 6179.728, 'text': 'So the match phrase prefix query returns documents that contain the words of a provided text in the same order as provided.', 'start': 6172.663, 'duration': 7.065}, {'end': 6182.07, 'text': 'So as you know, quick brown F.', 'start': 6179.828, 'duration': 2.242}, {'end': 6185.447, 'text': 'So quick brown, the same order must be followed.', 'start': 6182.07, 'duration': 3.377}], 'summary': 'Match phrase prefix query does a wildcard search on the final word and returns documents that contain the words of a provided text in the same order as provided.', 'duration': 28.555, 'max_score': 6156.892, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc6156892.jpg'}], 'start': 5701.42, 'title': 'Full text queries in elasticsearch', 'summary': 'Delves into the concept, use cases, and types of full text queries in elasticsearch, including intervals query, with examples and functionality. it also explains the usage of intervals query and various full text queries such as match query, match bool prefix query, match phrase query, and match phrase prefix query, and highlights the significance of order and exact phrases in document retrieval.', 'chapters': [{'end': 5807.24, 'start': 5701.42, 'title': 'Elasticsearch full text queries', 'summary': 'Discusses full text queries in elasticsearch, covering the concept, use cases, and types of full text queries, including intervals query, with examples and functionality.', 'duration': 105.82, 'highlights': ['The full text queries enable you to search analyze text fields such as the body of an email.', 'Intervals query is a full text query that allows fine grained control of the ordering and proximity of matching terms, returning documents based on the order and proximity of matching terms.', 'In previous videos, topics included setting up Elasticsearch, indexing the first query, uploading multiple documents, and discussing query DSL, context, and compound queries.']}, {'end': 6311.724, 'start': 5808.021, 'title': 'Elasticsearch full text queries', 'summary': 'Explains how to use intervals query and various full text queries including match query, match bool prefix query, match phrase query, and match phrase prefix query, emphasizing on the importance of order and exact phrases in document retrieval.', 'duration': 503.703, 'highlights': ['The intervals query in Elasticsearch returns documents based on order and proximity of matching terms. The intervals query returns documents containing specific intervals of terms in a specific order, emphasizing the importance of order and proximity in document retrieval.', 'The match query returns documents that match a provided text, analyzed before matching, allowing for fuzzy matching and phrase or proximity queries. The match query returns documents matching a provided text, allowing for fuzzy matching and phrase or proximity queries, facilitating flexible matching options.', 'The match phrase prefix query in Elasticsearch matches its terms as a phrase and requires exact order matching. The match phrase prefix query matches its terms as a complete phrase and requires exact order matching, ensuring that the entire phrase is considered within the document.', 'The match bool prefix query creates a bool query that matches each term as a term query, except for the last term, which is matched as a prefix query. The match bool prefix query creates a bool query, matching each term as a term query except for the last term, providing a flexible and powerful way to construct complex queries.']}], 'duration': 610.304, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc5701420.jpg', 'highlights': ['The intervals query in Elasticsearch returns documents based on order and proximity of matching terms. The intervals query returns documents containing specific intervals of terms in a specific order, emphasizing the importance of order and proximity in document retrieval.', 'The match phrase prefix query in Elasticsearch matches its terms as a phrase and requires exact order matching. The match phrase prefix query matches its terms as a complete phrase and requires exact order matching, ensuring that the entire phrase is considered within the document.', 'The match bool prefix query creates a bool query that matches each term as a term query, except for the last term, which is matched as a prefix query. The match bool prefix query creates a bool query, matching each term as a term query except for the last term, providing a flexible and powerful way to construct complex queries.', 'The full text queries enable you to search analyze text fields such as the body of an email.', 'Intervals query is a full text query that allows fine grained control of the ordering and proximity of matching terms, returning documents based on the order and proximity of matching terms.', 'The match query returns documents that match a provided text, analyzed before matching, allowing for fuzzy matching and phrase or proximity queries. The match query returns documents matching a provided text, allowing for fuzzy matching and phrase or proximity queries, facilitating flexible matching options.', 'In previous videos, topics included setting up Elasticsearch, indexing the first query, uploading multiple documents, and discussing query DSL, context, and compound queries.']}, {'end': 7416.099, 'segs': [{'end': 6400.339, 'src': 'embed', 'start': 6369.607, 'weight': 0, 'content': [{'end': 6372.55, 'text': 'The name of the framework is Elasticsearch-only in Python.', 'start': 6369.607, 'duration': 2.943}, {'end': 6374.692, 'text': "So let's see what it is.", 'start': 6373.972, 'duration': 0.72}, {'end': 6380.748, 'text': 'So, ElasticsearchPy is an official low-level client for Elasticsearch.', 'start': 6375.905, 'duration': 4.843}, {'end': 6385.61, 'text': 'The goal is to provide common ground for all Elasticsearch related code in Python.', 'start': 6381.308, 'duration': 4.302}, {'end': 6389.713, 'text': 'Because of this, it tries to be opinion-free and very extendable.', 'start': 6386.651, 'duration': 3.062}, {'end': 6400.339, 'text': 'So, ElasticsearchPy is a low-level client for Elasticsearch, which means that ElasticsearchDSL is another high-level client which you can use.', 'start': 6390.913, 'duration': 9.426}], 'summary': 'Elasticsearchpy is a low-level client for elasticsearch, aiming to provide common ground for all elasticsearch-related python code.', 'duration': 30.732, 'max_score': 6369.607, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc6369607.jpg'}, {'end': 6442.899, 'src': 'embed', 'start': 6417.191, 'weight': 1, 'content': [{'end': 6422.273, 'text': 'And you have a lot of control over the Elasticsearch part of the code as well.', 'start': 6417.191, 'duration': 5.082}, {'end': 6426.475, 'text': 'So how do we start? We start with installing Elasticsearch.', 'start': 6423.294, 'duration': 3.181}, {'end': 6428.756, 'text': "So let's go ahead and do that.", 'start': 6426.755, 'duration': 2.001}, {'end': 6436.196, 'text': "I think I already have it, so it should show that it's satisfied.", 'start': 6432.935, 'duration': 3.261}, {'end': 6440.238, 'text': 'So you can just go ahead and start installing Elasticsearch using pip install.', 'start': 6436.216, 'duration': 4.022}, {'end': 6442.899, 'text': 'Make sure you have Python 3 or greater.', 'start': 6440.598, 'duration': 2.301}], 'summary': 'Control elasticsearch code, start by installing with pip for python 3.', 'duration': 25.708, 'max_score': 6417.191, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc6417191.jpg'}, {'end': 6907.763, 'src': 'embed', 'start': 6871.064, 'weight': 2, 'content': [{'end': 6877.805, 'text': 'it has persistent connections, so we were able to set up the server and run our code very easily.', 'start': 6871.064, 'duration': 6.741}, {'end': 6884.807, 'text': 'it has load balancing across all nodes, so when you are scaling up your data set and how you have a lot of data, load balancing helps there.', 'start': 6877.805, 'duration': 7.002}, {'end': 6886.288, 'text': 'uh, failed connection penalization.', 'start': 6884.807, 'duration': 1.481}, {'end': 6888.735, 'text': "We'll talk about this in the next video.", 'start': 6887.435, 'duration': 1.3}, {'end': 6890.036, 'text': 'It has thread safety.', 'start': 6889.236, 'duration': 0.8}, {'end': 6894.077, 'text': "You don't have to be worrying about a deadlock or any other OS or underlying issues.", 'start': 6890.056, 'duration': 4.021}, {'end': 6895.758, 'text': 'And pluggable architecture.', 'start': 6894.738, 'duration': 1.02}, {'end': 6902.201, 'text': 'So we were able to set up Elasticsearch for a third-party programming language very easily.', 'start': 6895.798, 'duration': 6.403}, {'end': 6907.763, 'text': 'And all these features make Elasticsearch very easy to use with the Python programming language.', 'start': 6902.901, 'duration': 4.862}], 'summary': 'Elasticsearch offers persistent connections, load balancing, failed connection penalization, thread safety, and a pluggable architecture, making it easy to use with python.', 'duration': 36.699, 'max_score': 6871.064, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc6871064.jpg'}, {'end': 7221.45, 'src': 'embed', 'start': 7190.08, 'weight': 4, 'content': [{'end': 7194.461, 'text': 'we want is my index, if you remember.', 'start': 7190.08, 'duration': 4.381}, {'end': 7197.662, 'text': "let's query this.", 'start': 7194.461, 'duration': 3.201}, {'end': 7202.003, 'text': 'so, as you can see, it is a very high level client.', 'start': 7197.662, 'duration': 4.341}, {'end': 7204.964, 'text': 'so we can use simple functions like search, query, etc.', 'start': 7202.003, 'duration': 2.961}, {'end': 7215.246, 'text': "etc. and you'll see how easy it is to actually code up a search query using elastic search in python right now if you want to match any,", 'start': 7204.964, 'duration': 10.282}, {'end': 7221.45, 'text': 'because any was our key and the value was data.', 'start': 7216.889, 'duration': 4.561}], 'summary': 'Demonstrating easy search query using python with elasticsearch.', 'duration': 31.37, 'max_score': 7190.08, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc7190080.jpg'}], 'start': 6311.724, 'title': 'Using python with elasticsearch', 'summary': 'Covers using elasticsearch with python, focusing on elasticsearchpy as a low-level client, providing common ground for all elasticsearch-related code in python, the process of installing and setting up elasticsearch server using rest api, setting up a jupyter notebook for running python code to interact with elasticsearch, indexing and retrieving data, and using elasticsearch dsl with python to search and retrieve data, achieving a search score of 0.28.', 'chapters': [{'end': 6496.099, 'start': 6311.724, 'title': 'Using elasticsearch with python', 'summary': 'Covers using elasticsearch with python, focusing on elasticsearchpy as a low-level client, providing common ground for all elasticsearch-related code in python, and the process of installing and setting up elasticsearch server using rest api.', 'duration': 184.375, 'highlights': ['ElasticsearchPy is an official low-level client for Elasticsearch, providing common ground for all Elasticsearch-related code in Python. ElasticsearchPy aims to be opinion-free and very extendable, offering a lot of control over the Elasticsearch part of the code.', 'The chapter discusses the process of installing Elasticsearch using pip install and setting up the Elasticsearch server to be exposed on the REST API. The tutorial emphasizes the importance of having Python 3 or greater for installing Elasticsearch and provides guidance on starting the server in the Elasticsearch folder.', 'The chapter mentions the availability of open-source code for Elasticsearch 5 and provides links for documentation and understanding the framework. It encourages exploring the open-source code and documentation to understand version support and framework specifics, such as Elasticsearch 5.0.']}, {'end': 6890.036, 'start': 6496.099, 'title': 'Using python client for elasticsearch', 'summary': 'Covers setting up a jupyter notebook for running python code to interact with elasticsearch, including indexing and retrieving data, and highlights features such as translating python data types to json, automatic cluster nodes discovery, persistent connections, load balancing, failed connection penalization, and thread safety.', 'duration': 393.937, 'highlights': ["It translates basic Python data type to and from JSON, and date times are not decoded due to Elasticsearch's handling of date and time data structures.", 'It automatically configures discovery of cluster nodes, simplifying the process of connecting to the Elasticsearch server.', 'It has persistent connections, making it easy to set up the server and run the code.', 'It includes load balancing across all nodes, beneficial for scaling up data sets and managing large amounts of data.', 'It encompasses failed connection penalization, a feature that will be discussed in the upcoming video.', 'It ensures thread safety, providing a reliable and secure environment for executing code.']}, {'end': 7416.099, 'start': 6890.056, 'title': 'Using elasticsearch dsl with python', 'summary': 'Introduces elasticsearch dsl, a high-level library for writing and running queries against elasticsearch, and demonstrates using it with python to search and retrieve data, achieving a search score of 0.28.', 'duration': 526.043, 'highlights': ["Demonstrates using Elasticsearch DSL with Python to search and retrieve data, achieving a search score of 0.28 The main piece of code demonstrates a simple search functionality using the Elasticsearch client, connecting to the Elasticsearch low-level client and server, using the 'my index' index and executing a query to search for the key 'any' with the value 'data', resulting in a search score of 0.28.", 'Introduces Elasticsearch DSL, a high-level library for writing and running queries against Elasticsearch Elasticsearch DSL is introduced as a high-level library aimed at developing writing and running queries against Elasticsearch, providing a more convenient and idiomatic way of writing and manipulating queries, staying close to the Elasticsearch JSON DSL.', 'Mentions the ease of setting up Elasticsearch for a third-party programming language The speaker mentions the ease of setting up Elasticsearch for a third-party programming language, highlighting the pluggable architecture and features that make Elasticsearch easy to use with the Python programming language.']}], 'duration': 1104.375, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/kjN7mV5POXc/pics/kjN7mV5POXc6311724.jpg', 'highlights': ['ElasticsearchPy is an official low-level client for Elasticsearch, providing common ground for all Elasticsearch-related code in Python.', 'The chapter discusses the process of installing Elasticsearch using pip install and setting up the Elasticsearch server to be exposed on the REST API.', 'It automatically configures discovery of cluster nodes, simplifying the process of connecting to the Elasticsearch server.', 'It includes load balancing across all nodes, beneficial for scaling up data sets and managing large amounts of data.', 'Demonstrates using Elasticsearch DSL with Python to search and retrieve data, achieving a search score of 0.28.']}], 'highlights': ['Elasticsearch is a distributed open-source search and analytics engine for all types of data, known for its simple REST APIs, distributed nature, speed, and scalability.', 'Elasticsearch is the central component of the Elastic Stack, commonly referred to as the ELK stack, which includes Elasticsearch, Logstash, and Kibana.', 'Instructions on setting up Elasticsearch and Kibana, emphasizing the importance of having the most updated Java JDK version for successful setup.', 'Basics of indexing documents, utilizing REST APIs, and visualizing data, including the index API, mapping concept, and using Elasticsearch REST APIs.', 'Logstash is a plugin-based data collection and processing engine, capable of handling various types of data and organizing processing into pipelines.', 'Practical guidance on configuring Logstash, indexing data into Elasticsearch using the bulk API, and setting up Elasticsearch and Kibana.', 'The chapter covers the basic usage of query and filter functions in Elasticsearch, emphasizing the importance of Elasticsearch documentation for practical learning.', "Relevance scores measure document's relevance, query context defines relevance scores, and query formulation influences relevance score.", 'The boosting query allows prioritizing certain terms over others in search results, showcasing the relevance and impact of boosting queries in search results.', 'The intervals query in Elasticsearch returns documents based on order and proximity of matching terms, emphasizing the importance of order and proximity in document retrieval.', 'ElasticsearchPy is an official low-level client for Elasticsearch, providing common ground for all Elasticsearch-related code in Python.']}