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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: 3761 The Audiopedia
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: 1769 Adlai King
Full-Text Search in SQL Server 2012 - practical introduction
 
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It is an introduction to Full-Text Search in SQL Server 2012. It walks through installation, configuration and usage of a powerful database engine component for searching in texts. The video contains examples of SQL queries using contains, freetext, freetexttable functions.
Views: 39413 DBA presents
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: 898 Postgres Conference
Video06 -- Full Text Search
 
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Views: 2139 SQL DBA
APEX & Search
 
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This year, we have been looking into the best way to deliver search capabilities in an APEX application. Customers are used to searching in Google and often want the same functionality in their business application. While we don’t have the resources and years of research that Google have, we can take some ideas from them and develop great search mechanisms in our own applications. The video below is a recording of a presentation we delivered at the APEX SIG in May where we talk about: • What search tools are available natively in APEX. • How we can customise these tools to deliver a much better search. • How we can integrate Oracle Text into our search solution. • How we can integrate an ElasticSearch database with APEX to deliver a fast, full-featured search solution without having to do the hard part.
Views: 878 Explorer
Solr Indexing Sample Docs to solr core and searching with various filter query options
 
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This tutorial will help in indexing sample Solr Docs using Post Utility. Indexing into specific core. Searching queries to fetch data based on Filter query and other options. let assume file as dummy.xml under example/exampledocs directory. Go to exampledocs directory using command prompt & execute - java -jar post.jar dummy.xml For multiple XML files use - java -jar post.jar dummy.xml dummy1.xml For all XML files present in working directory use- java -jar post.jar *.xml SimplePostTool version 1.5 Posting files to base url http://localhost:8983/solr/update using content-type application/xml.. POSTing file dummy.xml 1 files indexed. COMMITting Solr index changes to http://localhost:8983/solr/update.. Time spent: 0:00:00.547
Views: 12352 Learn Technology
SQL Server 2008 - Enabling Full Text Search
 
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This is a clip from Collection 2778B: Querying and Modifying Data in Microsoft SQL Server 2008 with Transact-SQL. Visit http://www.cblearning.com to view the full course.
Views: 12099 C.B.Learning
3  Using a Fuzzy Search to Search for Phrase
 
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Lesson 8 USING FULL-TEXT SEARCH By PMP
NoSQL Fundamentals - Next generation NOSQL database -Full text Search part1
 
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Description NoSQL DEFINITION: Next Generation Databases mostly addressing some of the points: being non-relational, distributed, open-source and horizontally scalable. A NoSQL database environment is, simply put, a non-relational and largely distributed database system that enables rapid, ad-hoc organization and analysis of extremely high-volume, disparate data types. NoSQL databases are sometimes referred to as cloud databases, non-relational databases, Big Data databases and a myriad of other terms and were developed in response to the sheer volume of data being generated, stored and analyzed by modern users (user-generated data) and their applications (machine-generated data). In general, NoSQL databases have become the first alternative to relational databases, with scalability, availability, and fault tolerance being key deciding factors. They go well beyond the more widely understood legacy, relational databases (such as Oracle, SQL Server and DB2 databases) in satisfying the needs of today’s modern business applications. A very flexible and schema-less data model, horizontal scalability, distributed architectures, and the use of languages and interfaces that are “not only” SQL typically characterize this technology. From a business standpoint, considering a NoSQL or ‘Big Data’ environment has been shown to provide a clear competitive advantage in numerous industries. In the ‘age of data’, this is compelling information as a great saying about the importance of data is summed up with the following “if your data isn’t growing then neither is your business”.
Views: 167 Sandi J
WebCamp: Developer Day. Backend. Олег Ракитский "SQL Server Full-Text Search"
 
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WebCamp: Developer Day: Олег Ракитский "SQL Server Full-Text Search - это не для меня, или построение своей системы" Что находится под капотом у поисковых систем? Почему мы решили делать что-то свое, а не просто и быстро заюзать готовые решения? Четкие и нечеткие модели поиска. Как это у нас все работает?
Views: 134 GeeksLab Odessa
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: 2945 Neelan Joachimpillai
Scaling Postgres Episode 24 | Full Text Search | jsonb_agg | Upgrades | CIS
 
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Subscribe at https://www.scalingpostgres.com to get notified of new episodes. In this episode of Scaling Postgres, we review articles covering full text search, aggregating JSON with jsonb_agg, upgrades and CIS benchmarks. Links for this episode: https://rob.conery.io/2018/07/23/setting-up-a-fast-comprehensive-search-routine-with-postgresql/ https://medium.com/@geekuillaume/sql-tip-jsonb-agg-in-postgresql-for-simple-one-to-many-joins-bde8caa30c46 https://www.youtube.com/watch?v=lL6g9PHHin4 https://medium.com/preply-engineering/postgres-multimaster-34f2446d5e14 https://info.crunchydata.com/blog/using-the-cis-postgresql-benchmark-to-enhance-your-security https://medium.com/@cazzer/designing-the-most-performant-row-level-security-strategy-in-postgres-a06084f31945 https://severalnines.com/blog/new-webinar-introduction-performance-monitoring-postgresql https://severalnines.com/blog/postgresql-triggers-and-stored-function-basics https://severalnines.com/blog/understanding-and-reading-postgresql-system-catalog
Views: 123 Scaling Postgres
Perfect Search and IBM DB2 Full Text Search
 
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http://www.perfectsearchcorp.com -- Michael Stufflebeam, Software Engineer at Perfect Search, compares the main difference between the Perfect Search engine vs IBM's DB2 full text search solution.
Views: 396 PerfectSearchCorp
How to index data and perform fulltext search using sunspot solr
 
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In this video, we will learn the technique to index your data into SOLR and perform the full-text search on it. Please find the source code here: https://github.com/ksjoshi88/sunsolrtut
Views: 407 BBarters
Oracle Developer - Lecture 12 - Ustad Ahmad Shah - Pashto
 
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Searching with Radio Buttons and Text Box
Views: 743 KASHIF ALI KHAN
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: 25239 Safaa Al-Hayali
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.
PGDay.IT 2013 _ Matteo Durighetto _ Full Text Search in PostgreSQL
 
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Intervista realizzata durante il PGDay.IT 2013. Matteo Durighetto descrive brevemente i contenuti del suo intervento al convegno.
Views: 93 Interlogica
KooRunner: Koo's full text search with desktop integration
 
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The video shows how full text search capabilities of the full_text_search module created at NaN, can be integrated into KDE's Krunner to search in the ERP from user's desktop while the application is not opened yet. Once the user chooses the object to open it will open the application and the requested record.
Regular Expressions (Regex) Tutorial: How to Match Any Pattern of Text
 
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In this regular expressions (regex) tutorial, we're going to be learning how to match patterns of text. Regular expressions are extremely useful for matching common patterns of text such as email addresses, phone numbers, URLs, etc. Almost every programming language has a regular expression library, so learning regular expressions with not only help you with finding patterns in your text editors, but also you'll be able to use these programming libraries to search for patterns programmatically as well. Let's get started... The code from this video can be found at: https://github.com/CoreyMSchafer/code_snippets/tree/master/Regular-Expressions Python Regex Tutorial: https://youtu.be/K8L6KVGG-7o If you enjoy these videos and would like to support my channel, I would greatly appreciate any assistance through my Patreon account: https://www.patreon.com/coreyms Or a one-time contribution through PayPal: https://goo.gl/649HFY If you would like to see additional ways in which you can support the channel, you can check out my support page: http://coreyms.com/support/ Equipment I use and books I recommend: https://www.amazon.com/shop/coreyschafer You can find me on: My website - http://coreyms.com/ Facebook - https://www.facebook.com/CoreyMSchafer Twitter - https://twitter.com/CoreyMSchafer Google Plus - https://plus.google.com/+CoreySchafer44/posts Instagram - https://www.instagram.com/coreymschafer/
Views: 142977 Corey Schafer
Apache Solr Tutorial for Beginners -1 | Apache Lucene Tutorial -1 | Solr Search Tutorial | Edureka
 
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( Apache Solr Certification Training - https://www.edureka.co/apache-solr-self-paced ) Watch the sample class recording: http://www.edureka.co/apache-solr?utm_source=youtube&utm_medium=referral&utm_campaign=solr-tut-1 Apache Solr based on the Lucene Library, is an open-source enterprise Grade search engine and platform used to provide fast and scalable search features. Solr, which stands for “Search on Lucene and Resine” was created in 2004 by Yonik Seeley. Its major features include full-text search, hit highlighting, faceted search, dynamic clustering, database integration and rich document (example: Word, PDF) handling. Solr primarily written in Java runs as a standalone full-text search seer within a servlet container along with using the Lucene Java Search Library. This video Covers the following topics : 1.Understanding Search Engine Basics 2.Overview of Lucene 3.Key Features of Lucene 4.Basics of Indexing 5.Why Indexing. 6.What is Tokenization 7.Pre and Post Tokenization 9. Query Types 8.Lucene - Searching in Index Related post: http://www.edureka.co/blog/apache-solr-shedding-some-light/?utm_source=youtube&utm_medium=referral&utm_campaign=solr-tut-1 http://www.edureka.co/blog/solr19thoct/?utm_source=youtube&utm_medium=referral&utm_campaign=solr-tut-1 Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world. The topics related to ‘Solr' have been covered in our course ‘Apache Solr‘. For more information, please write back to us at [email protected] Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004
Views: 152677 edureka!
Oracle 10g / Forms Builder / Search
 
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كبفبة البحث في الواجهات
Views: 12582 Saif Academy
Get Table Names with Column Names and Data Types in SQL Server - SQL Server Tutorial
 
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In this video ,we will generate the script that will return us all the table names with column names and data type of those columns. We often need this information. Let's say we are going to prepare mapping document for load the data from Source Database to Destination database. We can get the list of all tables with column names and data types from Source Database and Destination Database and then paste in Excel and map the required input columns to output columns for ETL Process. Blog link with scripts used in video http://sqlage.blogspot.com/2015/02/get-all-tables-with-column-names-and.html
Views: 42549 TechBrothersIT
How to Use a Multidisciplinary, Full-Text Database
 
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A video that provides basic tips about searching in a standard library database.
Views: 297 UMSLLibraries
Php : How To Search And Filter Data In Html Table Using Php And MySQL Database [ with source code ]
 
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How To Find Data In MySQL Database And Display It In Html Table Using Php Source Code: http://1bestcsharp.blogspot.com/2015/10/php-html-table-search-filter-data-mysql-database.html PHP Programming Tutorials ➜ http://bit.ly/2Lh7zPM PHP And MySQL Tutorials ➜ http://bit.ly/2kdXWot PHP Course For Beginners ➜ http://bit.ly/2GxRodb Web Development Course ➜ http://bit.ly/2ITRQrj visit our blog https://1bestcsharp.blogspot.com/ facebook: https://www.facebook.com/1BestCsharp twitter: https://www.twitter.com/1BestCsharp_ subscribe: http://goo.gl/nRjPKk Share This Video: https://youtu.be/2XuxFi85GTw In this Php Tutorial You will see How You Can Make Search Input Text And Show Data With Input Text Value In Html Table Using MySQL Database And Php . I Use In This Tutorial: - NetBeans IDE . - XAMPP . - PhpMyAdmin . Others Tutorials : Get Select Option Value From MySQL Database Using Php https://www.youtube.com/watch?v=V8sIWh_sdvs How To Populate Html Table From MySQL Database Using Php https://www.youtube.com/watch?v=6goqMwURH9Q How To Use Mysqli Num Rows In Php https://www.youtube.com/watch?v=12L6Sckk8cc How To Use Pdo Row Count In Php https://www.youtube.com/watch?v=F3tqnbDTP3k Insert Update Delete Search Data In MySQL Database Using Php Part1 https://www.youtube.com/watch?v=f85jvD_Y8Ck Check Out This: Top Programming Courses On Udemy http://1bestcsharp.blogspot.com/2016/11/top-udemy-programming-courses.html
Views: 251660 1BestCsharp blog
Finding Database Columns By Name in Oracle SQL Developer
 
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How to find all columns in your Oracle Database by searching on the name.
Views: 5564 Jeff Smith
introduction to sql server 2008 create full text index
 
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sql server 2008 create full text index, create full text catalog
Views: 7403 R.N.A. Creation
SQL Tutorial For Beginners | Learn SQL Basic to Advance
 
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SQL Tutorial for Beginners - In this SQL Tutorial, you Learn everything about using SQL for managing databases. Learn More about SQL @ https://goo.gl/Txghmq Introduction to SQL SQL is a standard language for storing, manipulating and retrieving data in databases. Our tutorial will teach you how to use SQL in MySQL Server, MS Access, Oracle, Sybase, Informix, Postgres, and other database systems. SQL is a standard language for accessing and manipulating databases. What is SQL? SQL stands for Structured Query Language lets you access and manipulates databases it became a standard of the American National Standards Institute (ANSI) in 1986, and of the International Organization for Standardization (ISO) in 1987 What Can SQL capable of? 1)SQL can execute queries against a database, retrieve data from a database, insert records in a database, update records in a database, delete records from a database, ,create new databases, create new tables in a database, create stored procedures in a database, create views in a database,set permissions on tables, procedures, and views Although SQL is an ANSI/ISO standard, there are different versions of the SQL language. However, to be compliant with the ANSI standard, they all support at least the major commands (such as SELECT, UPDATE, DELETE, INSERT, WHERE) in a similar manner. Source NewBoston:https://www.youtube.com/watch?v=KgiCxe-ZW8o&list=PL32BC9C878BA72085 Timestamps 0:00 Introduction to Databases 7:32 SQL Server 12:04 Creating a Database 21:40 SHOW and SELECT 28:19 Rules for SQL Statements 32:30 Getting Multiple Columns 37:41 Distinct and LIMIT 43:29 Sorting Results 50:25 Sort Direction 54:42 Data Filtering and WHERE 59:38 Advanced Filtering Using AND and OR 1:06:33 IN ,NOT IN 1:12:52 Search Engines Work 1:19:19 More on Wildcards 1:22:33 Regular Expressions 1:30:05 Custom Columns 1:38:49 Functions 1:45:02 Aggregate Functions 1:52:59 GROUP BY 2:00:19 Subqueries (watch this https://youtu.be/iq52vhD45A4 ) 2:06:28 Another Subquery Example 2:13:37 Join Tables 2:22:05 Outer Joins 2:30:12 UNION 2:35:34 Text Searching 2:42:39 INSERT INTO 2:50:45 Insert Multiple Rows 2:59:26 UPDATE & DELETE 3:07:13 CREATE TABLE 3:14:19 NOT NULL & AUTO INCREMENT 3:21:25 ALTER / DROP / RENAME TABLE 3:27:30 Views 3:36:38 General Tips #SQL #SQLTutorial. #LearnSQL
Views: 73401 Extern Code
JAVA - How To Search Values From MySQL Database And Set It Into JTextfield In Java NetBeans | + Code
 
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JAVA - How To Search And Set Values From MySQL Database Into Textfield In Java NetBeans Source Code:http://1bestcsharp.blogspot.com/2015/02/java-how-to-search-and-set-values-from.html ------------------ Check out my Java Projects! -------------------- ▶ Inventory Management System - http://bit.ly/Java_Inventory ▶ Students Information System - http://bit.ly/JavaStudent_System ▶ Contacts Management System - http://bit.ly/Java_Contacts ▶ All My Programming Projects Here - http://bit.ly/2HrU8hK ▶ My Source Code Store Here - http://bit.ly/2OsC0TU -------------------------- JAVA COURSE ----------------------------- ▶ master Java core development step-by-step - http://bit.ly/2HXSuAn -------------------------------------------------------------------- java - How to display data from database into JTextfield visit our blog https://1bestcsharp.blogspot.com/ facebook: https://www.facebook.com/1BestCsharp twitter: https://www.twitter.com/1BestCsharp_ subscribe: http://goo.gl/nRjPKk *************************************************************************** *************************************************************************** C# And Java Programming Projects Source Code: http://1bestcsharp.blogspot.com/p/programming-projects.html *************************************************************************** *************************************************************************** in this java tutorial we will see how to get data into jtextfield in netbeans from mysql database we are gonna use: java programming language MySQL Database NetBeans Ide now to retrieve data from mysql database into jtextfield in netbeans we have firs to connect java to MySQL and to do this watch this video: https://www.youtube.com/watch?v=zM7oe2_S-jY and follow this java video thanks for watching this java tutorial where we Fetch data from database into Jtextfield in Netbeans for more java tutorials subscribe Java - How To Create Login Form With MySQL Database [with source code] Part 1 : https://www.youtube.com/watch?v=7sNYhlBz9xo Part 2 : https://www.youtube.com/watch?v=meGhTnlS9k4
Views: 82492 1BestCsharp blog
Full Text Search, Faceted Search and Taxonomies
 
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http://www.perfectsearchcorp.com -- Daniel Hardman, Senior Engineer at Perfect Search, answers these questions: What is full text search? What is Faceted Search? and What is a Taxonomy?
Views: 4736 PerfectSearchCorp
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: 148 Go Freelancer
SQL 2012 Create Full Text Index
 
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How to create a full text index in SQL 2012
Views: 399 DataGriff
How to Search SQL Query Text in Stored Procedures and Ad-Hoc Queries
 
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Have you ever wanted to search across all queries on your SQL Server? In today's video, we take a look at how to search the SQL query body/text of ad-hoc queries, stored procedures, functions, and views. Blog post containing code templates for easy copy/pasting: https://bertwagner.com/2017/11/14/how-to-search-stored-procedures-and-ad-hoc-queries/ Previous video that talks about searching for implicit conversions: https://youtu.be/mLcDzxCTfHY Follow me on Twitter: https://twitter.com/bertwagner Want to receive my latest weekly blog posts and videos in your inbox? Sign up for the newsletter here: https://upscri.be/c77fc8/
Views: 432 Bert Wagner
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: 315 CodeStack
Searching across multiple columns in SQL
 
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Using an OR, LIKE, and wildcard operator to search for one term across multiple columns in the database. Demonstrated using www.PlantPlaces.com and SQLite on Android
Views: 3879 Brandan Jones
Art Full Text database
 
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Art Full Text collects scholarly articles from a variety of international peer-reviewed journals. This database aims to provide detailed coverage of art from all eras, regions, and important artists. Chapters: Advanced Search 0:10 Full Text Results: 0:17 Enter Keywords: 0:23 Narrow Results: 0:45 Citation Information: 1:30 Full Text Options: 1:56 Email an Article: 2:09 For information about this tutorial contact: Ross Martin - [email protected]
Intuitive Real-Time Analytics with Search
 
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Speaker: Eva Andreasson, Director, Product Management, Cloudera Text-based search recently has become a critical part of the Hadoop stack, and has emerged as one of the highest-performing solutions for big data analytics. In this session, attendees will learn about the new analytics capabilities in Apache Solr that integrate full-text search, faceted search, statistics, and grouping to provide a powerful engine for enabling next-generation big data analytics applications.
Views: 1219 Cloudera, Inc.
Moving a Complex Application from Using Verity and Oracle to Using Solr,Christine Rüb, Juris GmbH
 
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Juris portal - Moving a Complex Application from Using Verity and Oracle to Using Solr Presented by Christine Rüb, Christine Rüb The juris portal provides access to legal information (about 6.5 mio documents) and information about German companies (about 23 mio documents). Access is highly personalized: search, links and search suggestions are customized according to the documents contained in a user's product collection. There are many search options, the system stability and reliability have to be high and there are DVD versions of subsets of the complete collection. This session describes how the juris portal moved from using Verity and Oracle to using Solr, which decisions we made, which architecture we choose, how we handle indexing and what results we achieved in areas like performance, hardware ressources and stability.
Database - Full T ext Indexing
 
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How to set up and use full text indexes.
GIN - Stronger than ever
 
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by Alexander Korotkov Heikki Linnakangas Oleg Bartunov This talk presents set of GIN advances in PostgreSQL 9.4 and further which brings GIN to new level of performance and extendability. Most important advances are: posting lists compression, fast-scan algorithm, storing additional information and index-based ranking. This talk presents set of GIN advances: Compression posting lists. Indexes become 2 times smaller without any work in opclass. pg_upgrade is supported, old indexes will be recompressed on the fly. Fast scan algorithm. Fast scan allows GIN to skip parts of large posting trees during index scan. It dramatically improve performance of hstore and json search operators as well as FTS "frequentterm & rareterm" case. In order to use this improvement three-state logic support required in "consistent" opclass method. Storing additional (opclass defined) information in posting lists. Usage of additional information for filtering enables new features for GIN opclasses: better phrase search, better array similarity search, inverse FTS search (search for tsqueries matching tsvector), inverse regex search (search for regexes matching string), better string similarity using positioned n-grams. Index based ranking. This improvement allows GIN to return results in opclass defined manner. Most important application is returning results in relevance order for FTS which dramatically reduces IO load. But there are other applications like returns arrays in similarity order. We present the results of benchmarks for FTS using several datasets (6 M and 15 M documents) and real-life load for PostgreSQL and Sphinx full-text search engines and demonstrate that improved PostgreSQL FTS (with all ACID overhead) outperforms the standalone Sphinx search engine.
Views: 1503 Andrea Ross
jQuery datatables get data from database table
 
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Link for all dot net and sql server video tutorial playlists https://www.youtube.com/user/kudvenkat/playlists?sort=dd&view=1 Link for slides, code samples and text version of the video http://csharp-video-tutorials.blogspot.com/2015/08/jquery-datatables-get-data-from.html In this video we will discuss how to use database data with jQuery datatables plugin. There are many ways to get data into DataTables. If the data is small you can retrieve all the data at once and the processing (i.e paging, searching, ordering) is done on the client-side. On the other hand if the database data is large, server-side processing can be enabled. With server-side processing enabled, all paging, searching, ordering actions that DataTables performs are handed off to the server. In this video we will discuss retrieving all the data at once. The datatables plugin performs all the processing (i.e paging, searching, ordering etc) on the client-side. We want to retrieve data from the following database table tblEmployee. The database data should then be displayed using jQuery datatables plugin
Views: 139373 kudvenkat
Insert Update Delete View and search data from database in C#.net
 
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Need Help Or Need code? Feel Free To Contact Us Here http://www.noblecomputer.co.in/support.php using this tutorial you can easily understand that how you can do Insert Update Delete and View data from database in C#.net | insert update delete in c#.net | Insert Update Delete View and search data from database in C#.net,Legen Ansicht aktualisieren und Suchdaten aus der Datenbank in C # .net Löschen,Insérez Update Supprimer Afficher et recherche les données de base de données en C # .net
Views: 342711 Amit Andipara
Java Eclipse GUI Tutorial 20 #  Search data in Database and Show in Jtable
 
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Donate to ProgrammingKnowledge -- (https://www.paypal.com/de/cgi-bin/webscr?cmd=_flow&SESSION=AW9N5aRI7sCqjlIusdmku9rz2uvuULZ6K580uDxTK7ElJs2LHDiLq-TQv0a&dispatch=5885d80a13c0db1f8e263663d3faee8def8934b92a630e40b7fef61ab7e9fe63) Eclipse java tutorial How to Advanced search a particular data in java Eclipse table MySQL and Eclipse Search Button Java & MySQL Searching your database Eclipse Retrieving database records using Eclipse iit Learn java Eclipse java tutorial Eclipse How to search a particular data in java Eclipse table netbeans search data from database
Views: 50205 ProgrammingKnowledge
Find Text in All objects definition in SQL Server - SQL Server Tutorial
 
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TSQL Tutorial Video Scenario: How to find String in All Stored Procedures in SQL Server Database ? We often have the situations where we want to find string in all the stored procedures in a database. Some of the situations are listed below Find out how many stored procedure are using Cross Database Queries, so we want to search for Database name in all the stored procedures in a database. Find out in how many stored procedure a table/view is used in a Database? This can be situation where we are planning to change the name of table/view and want to make sure if any Stored Procedure/s will be effected. Find out a column name used in Stored Procedure/s in SQL Server Database. Find out some comments in all the Stored Procedure to see who created those Stored Procedure, if Creator name is used in the comments. and there could be more situations. SQL Server provide us system tables and views those store information and definition of objects for us so we can get information related to the objects such as tables,views,Stored Procedures,Triggers,Functions etc. System.sql_modules and sys.syscomments system views can be used to dig into the definition of objects and search if any other object is used in the definition or not. Let's suppose if I am looking for comments in objects Creator Name=Aamir. I can use both system views to find out required information by using below queries. SELECT OBJECT_NAME(OBJECT_ID) AS ObjectName, definition AS ObjectDefinition FROM sys.sql_modules WHERE definition LIKE '%Creator Name=Aamir%' SELECT OBJECT_NAME(id) AS ObjectName, TEXT AS ObjectDefinition FROM sys.syscomments WHERE TEXT LIKE '%Creator Name=Aamir%' You can visit our blog http://sqlage.blogspot.com/
Views: 6858 TechBrothersIT
Sql query to select all names that start with a given letter without like operator
 
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Text Article http://csharp-video-tutorials.blogspot.com/2017/01/sql-query-to-select-all-names-that.html Slides http://csharp-video-tutorials.blogspot.com/2017/01/sql-query-to-select-all-names-that_31.html SQL Server Interview Questions and Answers text articles & slides http://csharp-video-tutorials.blogspot.com/2014/05/sql-server-interview-questions-and.html SQL Server Interview Questions and Answers playlist https://www.youtube.com/playlist?list=PL6n9fhu94yhXcztdLO7i6mdyaegC8CJwR 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 In this video we will discuss writing a SQL query to retrieve all student names that start with letter 'M' without using the LIKE operator. If the interviewer has not mentioned not to use LIKE operator, we would have written the query using the LIKE operator as shown below. SELECT * FROM Students WHERE Name LIKE 'M%' We can use any one of the following 3 SQL Server functions, to achieve exactly the same thing. CHARINDEX LEFT SUBSTRING The following 3 queries retrieve all student rows whose Name starts with letter 'M'. Notice none of the queries are using the LIKE operator. SELECT * FROM Students WHERE CHARINDEX('M',Name) = 1 SELECT * FROM Students WHERE LEFT(Name, 1) = 'M' SELECT * FROM Students WHERE SUBSTRING(Name, 1, 1) = 'M'
Views: 51974 kudvenkat

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