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Setting up Full text index on database table
 
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In this video I will show you how to setup up full text index on database tables..
Views: 2194 Adlai King
SQL Server Creating a Full-Text Index
 
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1. Creating a Full-Text Index
Views: 19589 Eagle
Indexes in SQL Server in arabic
 
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Text version of the video http://csharp-video-tutorials.blogspot.com/2012/09/indexes-in-sql-server-part-35.html Slides http://csharp-video-tutorials.blogspot.com/2013/08/part-35-indexes.html All SQL Server Text Articles http://csharp-video-tutorials.blogspot.com/p/free-sql-server-video-tutorials-for.html All SQL Server Slides http://csharp-video-tutorials.blogspot.com/p/sql-server.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists
Views: 2371 kudvenkat.arabic
Get Fuzzy with APEX and Oracle Text
 
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Ever had a requirement to add fuzzy search to your APEX application ...? And did you know that Oracle Database and APEX provide everything you need? This Application Express Office Hours session shows how to provide error-tolerant searching to your end users using Application Express and the Oracle TEXT database feature. Oracle TEXT allows to build just one Index for all your data and it provides linguistic and fuzzy search capabilities. The APEX Interactive Grid component allows to declaratively integrate such an index - however, other APEX components can leverage Oracle TEXT as well. The session shows how to build the Oracle Text index and how to use it with various APEX components. Tips and Tricks for practical usage will wrap the session up. Slides: https://www.slideshare.net/CarstenCzarski/find-anything-in-your-apex-app-fuzzy-search-with-oracle-text Chat: http://bit.ly/apex_office_hours_chat__20190124 Video Highlights: [2:50] Introduction [8:30] Oracle Text [11:25] APEX Interactive Grid Demo [15:10] Oracle Text Fundamentals [24:00] Demo - Building a new Text Index [42:40] Summary [44:30] Questions and Answers https://apex.oracle.com
Views: 1159 Oracle Developers
What is FULL-TEXT SEARCH? What does FULL-TEXT SEARCH mean? FULL-TEXT SEARCH meaning & explanation
 
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What is FULL-TEXT SEARCH? What does FULL-TEXT SEARCH mean? FULL-TEXT SEARCH meaning - FULL-TEXT SEARCH definition - FULL-TEXT SEARCH explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. In text retrieval, full-text search refers to techniques for searching a single computer-stored document or a collection in a full text database. Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or bibliographical references). In a full-text search, a search engine examines all of the words in every stored document as it tries to match search criteria (for example, text specified by a user). Full-text-searching techniques became common in online bibliographic databases in the 1990s. Many websites and application programs (such as word processing software) provide full-text-search capabilities. Some web search engines, such as AltaVista, employ full-text-search techniques, while others index only a portion of the web pages examined by their indexing systems. When dealing with a small number of documents, it is possible for the full-text-search engine to directly scan the contents of the documents with each query, a strategy called "serial scanning". This is what some tools, such as grep, do when searching. However, when the number of documents to search is potentially large, or the quantity of search queries to perform is substantial, the problem of full-text search is often divided into two tasks: indexing and searching. The indexing stage will scan the text of all the documents and build a list of search terms (often called an index, but more correctly named a concordance). In the search stage, when performing a specific query, only the index is referenced, rather than the text of the original documents. The indexer will make an entry in the index for each term or word found in a document, and possibly note its relative position within the document. Usually the indexer will ignore stop words (such as "the" and "and") that are both common and insufficiently meaningful to be useful in searching. Some indexers also employ language-specific stemming on the words being indexed. For example, the words "drives", "drove", and "driven" will be recorded in the index under the single concept word "drive". Free text searching is likely to retrieve many documents that are not relevant to the intended search question. Such documents are called false positives (see Type I error). The retrieval of irrelevant documents is often caused by the inherent ambiguity of natural language. In the sample diagram at right, false positives are represented by the irrelevant results (red dots) that were returned by the search (on a light-blue background). Clustering techniques based on Bayesian algorithms can help reduce false positives. For a search term of "bank", clustering can be used to categorize the document/data universe into "financial institution", "place to sit", "place to store" etc. Depending on the occurrences of words relevant to the categories, search terms or a search result can be placed in one or more of the categories. This technique is being extensively deployed in the e-discovery domain. The deficiencies of free text searching have been addressed in two ways: By providing users with tools that enable them to express their search questions more precisely, and by developing new search algorithms that improve retrieval precision.
Views: 5662 The Audiopedia
Oracle SQL Tutorial 8 - Indexes - Database Design Primer 5
 
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The concept of an index is extremely important when managing a database. An index has the power of making your database very quick or it has the power to bog down your update, delete, and insert statements. The trick is to find a good balance. You will want to index any columns that are used continually in a select or a join. By default, all primary keys are indexed as well as any columns with the UNIQUE column attribute. I suggest you consider adding an index to your foreign keys as these will often be used in joins as well. You can actually create an index on a group of columns. This will allow you to search for data and return multiple columns. This is known as a composite index. There are many other things to database design...much more than we have covered. I have decided I will cover these as we go so that we can start applying what we learn practically. Support me: http://www.patreon.com/calebcurry Subscribe to my newsletter: http://bit.ly/JoinCCNewsletter Donate!: http://bit.ly/DonateCTVM2. ~~~~~~~~~~~~~~~Additional Links~~~~~~~~~~~~~~~ More content: http://CalebCurry.com Facebook: http://www.facebook.com/CalebTheVideoMaker Google+: https://plus.google.com/+CalebTheVideoMaker2 Twitter: http://twitter.com/calebCurry Amazing Web Hosting - http://bit.ly/ccbluehost (The best web hosting for a cheap price!)
Views: 21502 Caleb Curry
SQL Server 2008. Интегрированный полнотекстовый поиск (Full-Text)
 
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SQL Server 2008 усовершенствовал возможности FTS, ранее доступные в SQL Server 2005. Модель SQL Server 2008 помимо прочих усовершенствований предлагает несколько улучшений производительности и управляемости, включая новые операторы языка определения данных (DDL), встроенную поддержку широкого разнообразия языков и более тесную интеграцию с механизмом SQL Server. Новые инструменты и средства, описанные в этом докладе, делают установку, конфигурацию и администрирование iFTS намного легче, чем когда-либо ранее. Тесная интеграция с механизмом выполнения запросов SQL Server повысила производительность iFTS и предоставила более эффективную платформу полнотекстового поиска, чем любая из предшествующих версий SQL Server.
Views: 283 SQLCom ru
AskTOM TV - Partial indexing
 
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A video to help you understand the "thought process" behind answering AskTom questions. In this episode, we look at enforcing uniqueness in a table, but only for a subset of the rows blog: https://connor-mcdonald.com
Views: 451 Connor McDonald
Streaming Database Changes with Debezium - Jiri Pechanec
 
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Updating caches and full-text indexes, synchronizing data between microservices, maintaining different read models in a CRQS-style architecture, feeding operational data to your analytics tools -- just a few use cases which benefit so much from streaming the changes from your datastore. In this session, you’ll learn what change data capture (CDC) is about and how it can be implemented using Debezium, an open-source CDC solution based on Apache Kafka. Find out how Debezium captures all the changes from datastores such as MySQL, PostgreSQL and MongoDB, how to react to the change events in near real time, and how Debezium is designed to not compromise on data correctness and completeness also if things go wrong.
Views: 1251 Devoxx
Streaming Database Changes with Debezium by Gunnar Morling
 
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"Debezium (noun | de·be·zi·um | /dɪ:ˈbɪ:ziːəm/) - secret ingredient for change data capture" Updating caches and full-text indexes, synchronizing data between microservices, maintaining different read models in a CRQS-style architecture, feeding operational data to your analytics tools -- just a few use cases which benefit so much from streaming the changes from your datastore. In this session, you’ll learn what change data capture (CDC) is about and how it can be implemented using Debezium, an open-source CDC solution based on Apache Kafka. Find out how Debezium captures all the changes from datastores such as MySQL, PostgreSQL and MongoDB, how to react to the change events in near real time, and how Debezium is designed to not compromise on data correctness and completeness also if things go wrong. Gunnar Morling is a software engineer and open-source enthusiast by heart. He’s leading the Debezium project, a tool for change data capture (CDC). As part of the Hibernate team, he contributes to Hibernate Search, OGM and Validator. Gunnar is the spec lead for Bean Validation 2.0 (JSR 380). In his spare time he leads the MapStruct project. Prior to joining Red Hat, he worked on a wide range of Java EE projects in the logistics and retail industries. He’s based in Hamburg, Germany.
Views: 5522 Devoxx
MongoDB - Back to Basics 4 - Advanced Indexing, Text and Geo-spatial Indexes
 
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In this fourth webinar of our back to basics series Joe Drumgoole, Director of Developer Advocacy EMEA at MongoDB, looked into the full-text index support and geospatial support available in MongoDB. - Full text support allows a user to index all the textual content in their database allowing “google like” searches over the data set. - Geospatial indexes allow a user to store geospatial coordinates in the data and do searches based on the proximity of one point to another. This is a fundamental requirement for many mobile applications.
Views: 4892 Marcel van den Bosch
coursaline.com: Qu'est ce qu'un index de base de données #01
 
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Dans cette vidéo vous allez comprendre ce que c'est un index d'une base de données et identifier son rôle. Pour suivre nos cours en ligne: https://www.coursaline.com pour interagir avec nous: https://www.facebook.com/coursaline/
Views: 7653 coursaline
Oracle New feature 12c  - Expand sql text
 
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Oracle New feature 12c - Expand sql text
Views: 437 Siva Academy
SQL 12c Tutorial 20 : SQL 12c Creating Multiple Indexes on column
 
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SQL 12c Tutorial 20 : SQL 12c Creating Multiple Indexes on column SQL 12c New Features SQL 12c Tutorial for beginners Oracle 12c Tutorial for beginners Creating Multiple indexes on column
Views: 1225 TechLake
Full text index speed vs LIKE operator
 
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WordPress uses the LIKE operator by default. It's slow and inaccurate. The WPI Performance plugin v2.73 adds fulltext index support so you can get more accurate and faster results. 0.4 seconds vs 30 seconds on a server with 817,000 products.
Views: 1360 WP Intense
Rank Your Results: Using Full Text Search with Natural Language Queries to get Ranked Results
 
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Check out http://www.pgconf.us/2015/event/73/ for the full talk details. PostgreSQL text search has the capability to perform natural language searches and return a ranked list of matching documents, similar to a Google-style search. The capability, along with an automatic list of 'stop' words that are ignored and synonyms that are matched, is excellent for advanced document and comment-field search applications. About the Speaker Jamey Hanson is a reformed Oracle database administrator and developer currently working to migrate US Federal Government Oracle applications to PostgreSQL. He has presented at multiple Oracle and PostgreSQL conferences as well as taught Oracle, Internet Security and Project Management for the University of Maryland. He is interested in using PostgreSQL to explore large data sets.
Views: 1014 Postgres Conference
Indexing JSON Data in Oracle Database 12c
 
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This video gives an overview of indexing JSON data in Oracle database 12c. For more information see: https://oracle-base.com/articles/12c/indexing-json-data-in-oracle-database-12cr1 Website: https://oracle-base.com Blog: https://oracle-base.com/blog Twitter: https://twitter.com/oraclebase Cameo by Bertrand Drouvot : Blog: https://bdrouvot.wordpress.com/ Twitter : https://twitter.com/BertrandDrouvot Cameo appearances are for fun, not an endorsement of the content of this video. All trademarks, product names and logos are the property of their respective owners.
Views: 2011 ORACLE-BASE.com
DBMS Indexing: The Basic Concept
 
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A quick introduction to the concept of indexing in RDBMSs
Views: 184246 Brian Finnegan
Create and Manage Full Text Indexes in MS SQL(2/2)
 
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The information in full-text indexes is used by the Full-Text Engine to compile full-text queries that can quickly search a table for particular words or combinations of words. A full-text index stores information about significant words and their location within one or more columns of a database table. A full-text index is a special type of token-based functional index that is built and maintained by the Full-Text Engine for SQL Server. The process of building a full-text index differs from building other types of indexes. Instead of constructing a B-tree structure based on a value stored in a particular row, the Full-Text Engine builds an inverted, stacked, compressed index structure based on individual tokens from the text being indexed. ------------- May be you like this -------------- Our channel: https://www.youtube.com/c/gofreelancertutorials Interest to donate : https://www.paypal.me/gofreelancer RavenDB playlist here: https://www.youtube.com/watch?v=Q8M4eIgzMHo&list=PLv0T7WlllnSnxvVNZR7CHVR0hR-8t69ow KnockoutJs Playlist: https://www.youtube.com/watch?v=H3IWQg1TfdA&list=PLv0T7WlllnSk2iDeqcwRyty__TRJMgGhr Wcf playlist : https://www.youtube.com/watch?v=t-6wGwiaDj4&list=PLv0T7WlllnSnulXRU200Lx97e_pJrGGfo Wcf restful playlist : https://www.youtube.com/watch?v=NB4k0RC6vl0&list=PLv0T7WlllnSmcGHacEQnLgKvitcJEsSl6 Angularjs playlist : https://www.youtube.com/watch?v=KXjD1RiAz1U&list=PLv0T7WlllnSkCfNftTNY8tWqCFWT0sIMd c# playlist: https://www.youtube.com/watch?v=ZrP0NKbsr8s&list=PLv0T7WlllnSl9pZWMaMGsyoAmqZtW4gM0 google maps playlist: https://www.youtube.com/watch?v=_3lci2cE05M&list=PLv0T7WlllnSnXz4EiDxNA5OWnfr5xgig umbraco playlist : https://www.youtube.com/watch?v=zoefdruzmGE&list=PLv0T7WlllnSnYRedhwL8x-atkVxrSdd3m jquery playlist : https://www.youtube.com/watch?v=jVncasz_iyw&list=PLv0T7WlllnSkkNahiiWu_GMXq49X5ccfe
Views: 216 Go Freelancer
Full-Text Search- part 4
 
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Full-text queries perform linguistic searches against text data in full-text indexes by operating on words and phrases based on rules of a particular language such as English or Japanese. Full-text queries can include simple words and phrases or multiple forms of a word or phrase. A full-text query returns any documents that contain at least one match (also known as a hit). A match occurs when a target document contains all the terms specified in the full-text query, and meets any other search conditions, such as the distance between the matching terms.
Views: 503 SqlIsEasy
Full Text Search in Generated JavaDoc | Adam Bien
 
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For his sixth video in the 2 Minute Tech Tip series Java Champion Adam Bien demonstrates how to add Javadoc to a method. Learn More: https://developer.oracle.com/ https://cloud.oracle.com/en_US/tryit
Views: 588 Oracle Developers
Clustered vs. Nonclustered Index Structures in SQL Server
 
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Clustered and nonclustered indexes share many of the same internal structures, but they're fundamentally different in nature. Watch Microsoft Certified IT Professional Jon Seigel explain the similarities and differences of clustered and nonclustered indexes, using a real-world example to show how these structures work to improve the performance of SQL queries. Blog post on primary key vs. the clustered index: http://voluntarydba.com/post/2012/10/02/The-Primary-Key-vs-The-Clustered-Index.aspx CREATE INDEX statement reference: http://technet.microsoft.com/en-us/library/ms188783.aspx ALTER INDEX statement reference: http://technet.microsoft.com/en-us/library/ms188388.aspx Index navigation internals by example: http://sqlblog.com/blogs/paul_white/archive/2011/08/09/sql-server-seeks-and-binary-search.aspx Sample index data is from the AdventureWorksLT2008R2 sample database: http://awlt2008dbscript.codeplex.com/releases/view/46169 Visit my channel for more database administration videos: https://www.youtube.com/voluntarydba Subscribe to get notified about my latest videos: https://www.youtube.com/voluntarydba?sub_confirmation=1 Read additional content on my blog: http://voluntarydba.com Follow on Twitter: https://twitter.com/voluntarydba Like on Facebook: https://facebook.com/voluntarydba
Views: 325051 Voluntary DBA
FTS vs Index Scan   Part 1
 
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what is "full table scan in oracle" and "oracle index scan" Small Excerpt from "Oracle performance Tuning Session". http://www.dbvidya.com/oracle-performance-tuning-videos/ [email protected] +91 991 2323 000 Oracle Performance Tuning Online Training : http://www.dbvidya.com/course/performance-tuning-for-dba/ Oracle SQL Performance Tuning Training Online : http://www.dbvidya.com/course/sql-tuning-advanced/ Oracle Performance Tuning Videos Tutorial for DBA and Developers : http://www.dbvidya.com/oracle-performance-tuning-videos/ Oracle AWR Tutorial: http://www.dbvidya.com/course/oracle-awr/ Erwin Tool Online Training : http://www.dbvidya.com/course/erwin-tool/ ER Data Modeling Course : http://www.dbvidya.com/course/er-modeling/ Dimensional Modeling Training Online : http://www.dbvidya.com/course/dimensional-modeling/ Oracle Database Blogs : http://www.dbvidya.com/blog/
Views: 403 DbVidya
Indexes in SQL Server -- making queries run faster
 
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Indexes in SQL Server make queries run faster and more efficiently. With the size of databases increasing almost exponentially, being able to return results quickly with minimal stress on the underlying server is crucial. This tutorial includes a practical demonstration of performance gains obtained from creating Clustered, Non-Clustered, and Column indexes. In the demonstration clustered and non-clustered indexes result in a 10 x increase in query performance compared to using no index. The Column index results in further a 10 x increase in performance over the Clustered and Non-clustered indexes (100 x faster than using no index). The video also outlines the basic concepts behind indexes and demonstrates how to quickly created indexes in SQL Server Management studio. Code and sample databases are available from http://www.analyticsinaction.com/indexes/ I also have a comprehensive 60 minute T-SQL course available at Udemy : https://www.udemy.com/t-sql-for-data-analysts/?couponCode=ANALYTICS50%25OFF
Views: 52638 Steve Fox
mysql tutorial for beginners (6/8) : Indexes
 
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mysql tutorial for beginners (6/8) : Indexes As things stand, the table students works and can be searched without problem by MySQL—until it grows to more than a couple of hundred rows, At that point, database accesses will get slower and slower with every new row added, because MySQL has to search through every row whenever a query is issued. This is like searching through every book in a library whenever you need to look something up. Of course, you don’t have to search libraries that way, because they have either a card index system or, most likely, a database of their own. The way to achieve fast searches is to add an index, either when creating a table or at any time afterward. But the decision is not so simple. For example, there are different index types such as a regular INDEX, PRIMARY KEY, and FULLTEXT. Also, you must decide which columns require an index, a judgment that requires you to predict whether you will be searching any of the data in that column. And even when you’ve decided that, you still have the option of reducing index size by limiting the amount of each column to be indexed. If we imagine the searches that may be made on the students table, it becomes apparent that all of the columns may need to be searched. Anyway, go ahead and add an index to each of the columns, using the commands: ALTER TABLE students ADD INDEX(name(3)); An alternative to using ALTER TABLE to add an index is to use the CREATE INDEX command. They are equivalent, except that CREATE INDEX cannot be used for creating a PRIMARY KEY CREATE INDEX surname ON students (surname(5)); DESCRIBE students; These commands create indexes on both the name and surname columns, limiting name index to only the first 3 characters, and surname index to the first 5 characters. For instance, when MySQL indexes the following name: SAFAA It will actually store in the index only the first 3 characters: SAF This is done to minimize the size of the index, and to optimize database access speed. DESCRIBE command shows the key MUL for each column. This key means that multiple occurrences of a value may occur within that column, which is exactly what we want, as name or surname may appear many times. You don’t have to wait, until after creating a table to add indexes. In fact, doing so can be time-consuming, as adding an index to a large table can take a very long time. Therefore, let’s look at a command that creates the table students with indexes already in place. CREATE TABLE students ( Id_studnet SMALLINT UNSIGNED NOT NULL AUTO_INCREMENT, name VARCHAR(10) NOT NULL, surname VARCHAR(20) NOT NULL, email VARCHAR(30) NOT NULL, INDEX(name(3)), INDEX(surname(5)), ,PRIMARY KEY(id_studnet),UNIQUE(email)); Another important index, PK, its single unique key for each student to enable instant accessing of a row. The importance of having a key with a unique value for each row will come up when we start to combine data from different tables. You can add PK, while you create the table at the first time, or later by issuing the following command: ALTER TABLE students ADD PRIMARY KEY(id_student); The last important index, FULLTEXT index Unlike a regular index, MySQL’s FULLTEXT allows super-fast searches of entire columns of text. It stores every word in every data string in a special index that you can search using “natural language,” in a similar manner to using a search engine. It’s not strictly true that MySQL stores all the words in a FULLTEXT index, because it has a built-in list of more than 500 words that it chooses to ignore because they are so common that they aren’t very helpful for searching anyway. This list, called stopwords, includes the, as, is, of, and so on. The list helps MySQL run much more quickly when performing a FULLTEXT search and keeps database sizes down. FULLTEXT indexes can be created for CHAR, VARCHAR, and TEXT columns only. A FULLTEXT index definition can be given in the CREATE TABLE statement when a table is created, or added later using ALTER TABLE (or CREATE INDEX). Adding a FULLTEXT index to the table students for the columns name and surname ALTER TABLE classics ADD FULLTEXT(name,surname); this index is in addition to the ones already created and does not affect them You can now perform FULLTEXT searches across this pair of columns. If you find that MySQL is running slower than you think it should be when accessing your database, the problem is usually related to your indexes. Either you don’t have an index where you need one, or the indexes are not optimally designed. Tweaking a table’s indexes will often solve such a problem. In the next tutorial, we will learn about, using FOREIGN KEY Constraints and how to join tables together. Subscribe for more: ---------------------------------------------------------------------------- https://www.youtube.com/subscription_center?add_user=saf3al2a SWE.Safaa Al-Hayali - saf3al2a
Views: 32407 Safaa Al-Hayali
Using Oracle Database as a Document Store
 
01:03:55
Held on July 10 2018 JSON (JavaScript Object Notation) has become the dominant data exchange format of the 21st century. With the release of 18c, Oracle Database now offers a SODA (Simple Object Document Access) API for Java and REST-based development. In this session, Beda Hammerschmidt explores the API, which allows you to use Oracle Database as a JSON document store. AskTOM Office Hours offers free, monthly training and tips on how to make the most of Oracle Database, from Oracle product managers, developers and evangelists. https://asktom.oracle.com/ Oracle Developers portal: https://developer.oracle.com/ Sign up for an Oracle Cloud trial: https://cloud.oracle.com/en_US/tryit music: bensound.com
Views: 266 Oracle Developers
Dev Lecture: SQL Server 2008's Full Text Search Engine
 
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This is a quick summary of my experiences with SQL Server's Full Text Search Engine. Feel free to add your experiences or lessons you learn't from dealing with search engine technology.
Views: 2961 Neelan Joachimpillai
Indexes in sql server   Part 35
 
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In this video we will learn about What are indexes Why do we use indexes Advantages of indexes These concepts are applicable to sql server 2000, 2005 and 2008 Text version of the video http://csharp-video-tutorials.blogspot.com/2012/09/indexes-in-sql-server-part-35.html Slides http://csharp-video-tutorials.blogspot.com/2013/08/part-35-indexes.html All SQL Server Text Articles http://csharp-video-tutorials.blogspot.com/p/free-sql-server-video-tutorials-for.html All SQL Server Slides http://csharp-video-tutorials.blogspot.com/p/sql-server.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists
Views: 432169 kudvenkat
Streaming Database Changes with Debezium by Gunnar Morling
 
01:05:50
"Debezium (noun | de·be·zi·um | /dɪ:ˈbɪ:ziːəm/) - secret ingredient for change data capture" Updating caches and full-text indexes, synchronizing data between microservices, maintaining different read models in a CRQS-style architecture, feeding operational data to your analytics tools -- just a few use cases which benefit so much from streaming the changes from your datastore. In this session, you’ll learn what change data capture (CDC) is about and how it can be implemented using Debezium, an open-source CDC solution based on Apache Kafka. Find out how Debezium captures all the changes from datastores such as MySQL, PostgreSQL and MongoDB, how to react to the change events in near real time, and how Debezium is designed to not compromise on data correctness and completeness also if things go wrong. Gunnar Morling is a software engineer and open-source enthusiast by heart. He’s leading the Debezium project, a tool for change data capture (CDC). As part of the Hibernate team, he contributes to Hibernate Search, OGM and Validator. Gunnar is the spec lead for Bean Validation 2.0 (JSR 380). In his spare time he leads the MapStruct project. Prior to joining Red Hat, he worked on a wide range of Java EE projects in the logistics and retail industries. He’s based in Hamburg, Germany.
Views: 2079 SouJava
SQL Server 34 - How to Create and Drop Indexes
 
05:15
Creating indexes is a very easy task, but before you go creating indexes on everything, you need to know that some columns are indexed by default. Specifically, any column that is labeled as the PRIMARY KEY or UNIQUE are indexed by default. That means that if you have a UNIQUE column, you do not need to worry about adding an INDEX to it. The columns that you will want to pay special attention to are any foreign keys or columns that you are going to use very frequently. We are going to create an index on our SpeciesID column in our Animals table. This is a foreign key that I'm likely going to use very frequently. CREATE INDEX IX_AnimalsSpecies ON Animals (SpeciesID); The syntax is very similar to CREATE TABLE in that you say CREATE INDEX followed by an index name. The IX_ is a prefix that is sometimes conventionally used to name indexes. Next, we have the table name, and then we have something to describe the column. That way if you see IX_AnimalsSpecies, you automatically know it is talking about an Index for the Animals table that is on the column dealing with the species. To get rid of this index, use this: DROP INDEX IX_AnimalsSpecies; Which is also very similar to how we drop a table. Now, you can also create an INDEX on multiple columns if you are going to use them together very often. The way you do that is just add another column after a comma inside of the () in the index columns. For example: CREATE INDEX IX_AnmialsContact ON Animals (Name, ContactEmail); One other thing I wanted to show you is that you can actually create a UNIQUE Index by adding the keyword in: CREATE UNIQUE INDEX IX_Species ON Species (Species); This should only be used if every value for a column is labeled unique…In fact, it forces every row to be unique. Remember though that if a column is labeled UNIQUE, it is indexed by default...So this is not needed in this situation. In the next video we will discuss in more detail whether you want to use the UNIQUE Constraint create a UNIQUE index. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Support me! http://www.patreon.com/calebcurry Subscribe to my newsletter: http://bit.ly/JoinCCNewsletter Donate!: http://bit.ly/DonateCTVM2. ~~~~~~~~~~~~~~~Additional Links~~~~~~~~~~~~~~~ More content: http://CalebCurry.com Facebook: http://www.facebook.com/CalebTheVideoMaker Google+: https://plus.google.com/+CalebTheVideoMaker2 Twitter: http://twitter.com/calebCurry Amazing Web Hosting - http://bit.ly/ccbluehost (The best web hosting for a cheap price!)
Views: 11680 Caleb Curry
Performing Text Analytics in OBIEE using Oracle Database (V309)
 
05:37
How to consume Oracle Database's text processing capabilities to deliver powerful analytical capabilities in OBIEE.
Views: 2858 ORACLE ANALYTICS
SQL Server Creating a Full-Text Index | Full-Text Search in SQL Server 2016 - practical introduction
 
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Hello Friend, My nama is Vipul Sharmma In this video, we create a Full-Text index in Sql server 2016. Full-Text Search in SQL Server 2016 - practical introduction Don't forgot to SUBSCRIBE AmazeTeckno for more Useful & Creative Videos.
Views: 64 AmazeTeckno
Database - Full T ext Indexing
 
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How to set up and use full text indexes.
SQL Tutorial For Beginners : What is SYS_CONTEXT in Oracle with Example
 
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What is SYS_CONTEXT in Oracle with Example What is SYS_CONTEXT Function? Syntax: SYS_CONTEXT( namespace, parameter [, length] ) SQL Tutorial SQL Tutorial for beginners PLSQL Tutorial PLSQL Tutorial for beginners PL/SQL Tutorial PL SQL Tutorial PL SQL Tutorial for beginners PL/SQL Tutorial for beginners Oracle SQL Tutorial
Views: 521 TechLake
Introduction to SQL Pattern Matching in Oracle Database 12c - Part 1
 
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Oracle Product Manager, Keith Laker, demonstrates how to work with SQL Pattern Matching in Oracle Database 12c in this first of three demos. See Keith's blog for more information at http://oracle-big-data.blogspot.com. Copyright © 2013 Oracle and/or its affiliates. Oracle® is a registered trademark of Oracle and/or its affiliates. All rights reserved. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the "Materials"). The Materials are provided "as is" without any warranty of any kind, either express or implied, including without limitation warranties of merchantability, fitness for a particular purpose, and non-infringement.
Oracle SQL Tutorials ll Creating an Index
 
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Curso SQL. Índices. Vídeo 18
 
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En este vídeo vemos cómo crear índices en campos de tablas desde SQL. Para más cursos, ejercicios y manuales visita: http://www.pildorasinformaticas.com
Views: 30924 pildorasinformaticas
Why You Shouldn't Limit Database Searches to Full-Text
 
01:06
One minute video explaining how to use the LMU link resolver to find full-text articles located in other online databases.
Views: 72 LMU Library
40 - Indices de Tablas (Primary Key, Unique, Plain Text, FullText) [MariaDB]
 
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En este video conoceremos los indices y sus tipos que maneja MariaDB/MySQl para poder acelerar búsquedas dentro de las tablas. ------------------------------------------------------- Donaciones: https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=UM8BAAMDNLBFJ ------------------------------------------------------- Facebook: https://www.facebook.com/CodeStackVT/ Twitter: https://twitter.com/codestackvt
Views: 619 CodeStack
Confusing and Convoluted Oracle Text Change(s) for RNA
 
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WOTC just handed to keyboard over to a complete lunatic with no grasp on the English language and let him try to explain some oracle text and oracle update policy changes while contradicting himself multiple times and trying to make awful, cringy puns. Let's cut through the crap to try to get some semblance of information from it. Stupid oracle text article: https://magic.wizards.com/en/articles/archive/news/ravnica-allegiance-oracle-changes-2019-01-22 Even stupider rules change article: https://magic.wizards.com/en/articles/archive/news/ravnica-allegiance-comprehensive-rules-changes-2019-01-22 Support me on Patreon for mad rewards: https://www.patreon.com/desolatormagic Twitter: https://twitter.com/DesMagicYT Get epic Desolator Magic shirts: https://teespring.com/stores/desolator-magic
Views: 11693 DesolatorMagic
16 Index Termenology in SQL Server
 
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with Arabic content by easy way to learn شرح بالعربي
Performance with Database Indexes
 
15:31
Check out https://gorails.com for Pro episodes and more!
Views: 1595 GoRails
Full-Text Search Throwdown
 
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Searching text data for words and substrings is deceptively difficult to do efficiently. What are the options, and how do they compare? This talk will compare several solutions for full text search, including MyISAM FULLTEXT, InnoDB FULLTEXT, Sphinx Search, Apache Solr, and trigraphs. Presented by Bill Karwin at Percona Webinars -- August 22th, 2012.
When to Index an RDBMS
 
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The basics of deciding when and which attributes to index in a relational database management system
Views: 3028 Brian Finnegan
Importing Data from MySQL to Elasticsearch to Visualize it with Kibana
 
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My blog: http://datascience-enthusiast.com/Miscellaneous/MySQL_to_ELK.html GitHub repository: https://github.com/fissehab/MySQL_ELK_Hurricanes
Views: 21452 Fisseha Berhane
Clustered Index Basics for SQL Server
 
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This topic from Chapter 8 of the "SQL Architecture Basics Joes 2 Pros" Book or Video DVD on Amazon. You can see what a clustered index is and how to create it.
MySQL 데이터베이스 한번에 끝내기 SQL Full Tutorial Course using MySQL Database
 
01:11:11
MySQL을 이용해서 SQL을 배워보자 강의 페이지: http://suanlab.com/youtube.html#MySQL 00:00:35 MySQL 소개 00:01:53 MySQL 설치 00:03:51 SQL 기본 00:05:06 SHOW DATABASES 00:06:06 USE 00:07:03 SHOW TABLE, SHOW TABLE STATUS 00:07:45 DESCRIBE (DESC) 00:09:14 SELECT 00:10:59 WHERE 00:15:07 BETWEEN 00:15:51 IN 00:17:21 LIKE 00:19:01 Sub Query 00:20:27 ANY(SOME) 00:22:02 ALL 00:22:56 ORDER BY 00:26:16 DISTINCT 00:27:02 LIMIT 00:28:19 GROUP BY 00:31:04 HAVING 00:32:31 ROLLUP 00:33:56 JOIN 00:35:34 MySQL 내장함수 00:35:50 LENGTH() 00:36:07 CONCAT() 00:36:39 LOCATE() 00:37:20 LEFT(), RIGHT() 00:38:14 LOWER(), UPPER() 00:38:46 REPLACE() 00:39:21 TRIM() 00:40:40 FORMAT() 00:41:21 FLOOR(), CEIL(), ROUND() 00:41:54 SQRT(), POW(), EXP(), LOG() 00:42:25 SIN(), COS(), TAN() 00:42:45 ABS(), RAND() 00:44:00 NOW(), CURDATE(), CURTIME() 00:44:29 DATE(), MONTH(), DAY(), HOUR(), MINUTE(), SECOND() 00:45:18 MONTHNAME(), DAYNAME() 00:45:43 DAYOFWEEK(), DAYOFMONTH, DAYOFYEAR() 00:46:27 DATE_FORMAT() 00:47:05 SQL 고급 00:47:10 CREATE TABLE AS SELECT 00:48:15 CREATE DATABASE 00:49:02 CREATE TABLE (MySQL Workbench) 00:50:37 CREATE TABLE 00:52:12 ALTER TABLE (ADD, MODIFY, DROP) 00:53:58 인덱스 Index 00:55:17 CREATE INDEX 00:55:43 SHOW INDEX 00:56:42 CREATE UNIQUE INDEX 00:57:15 FULLTEXT INDEX 00:58:06 INDEX 삭제 (ALTER) 00:58:27 DROP INDEX 00:58:55 VIEW 01:00:05 CREATE VIEW 01:00:45 ALTER VIEW 01:01:05 DROP VIEW 01:04:34 INSERT 01:05:25 INSERT( MySQL Workbench) 01:06:11 INSERT INTO SELECT 01:06:58 UPDATE 01:07:52 DELETE 01:08:43 TRUNCATE 01:09:16 DROP TABLE 01:09:35 DROP DATABASE 사용되는 소프트웨어 버전 MySQL 8.0, MySQL Workbench SuanLab 이수안컴퓨터연구소 Web Site: http://suanlab.com Facebook: https://www.facebook.com/suanlab