#Ionic sqlite transaction how to#
#Ionic sqlite transaction code#

WHERE posts MATCH 'search AND (sqlite OR help)' Ĭode language: SQL (Structured Query Language) ( sql ) Built-in auxiliary functions To find the documents that match search and either sqlite or help, you use parenthesis as follows: SELECT * The statement returns documents that match search and sqlite or help. WHERE posts MATCH 'search AND sqlite OR help' To change the operator precedence, you use parenthesis to group expressions. WHERE posts MATCH 'sqlite AND searching' To find the documents that match both SQLite and searching, you use the AND operator as shown below: SELECT * To search for documents that match either phrase learn or text, you use the OR operator as the following example: SELECT * q1 NOT q2: matches if query q1 matches and q2 doesn’t match.įor example, to get the documents that match the learn phrase but doesn’t match the FTS5 phrase, you use the NOT operator as follows: SELECT *.q1 OR q2: matches if either query q1 or q2 matches.q1 AND q2: matches if both q1 and q2 queries match.You can use the Boolean operator e.g., NOT, OR, or AND to combine queries.

#Ionic sqlite transaction code#

WHERE posts = 'search*' Code language: SQL (Structured Query Language) ( sql ) Boolean operators For example, search* matches with search, searching, searches, etc. When a phrase contains the asterisk (*), it will match any document that contains the token that begins with the phrase. You can use the asterisk (*) as a prefix token.

The following query returns all documents that match the search term Learn SQLite: SELECT *Ĭode language: SQL (Structured Query Language) ( sql ) Prefix searches You can use the “+” operator to concatenate two phrases as the following example: 'learn SQLite'įTS5 determines whether a document matches a phrase if the document contains at least one subsequence of tokens that match the sequence of tokens used to construct the phrase.

To sort the search results from the most to least relevant, you use the ORDER BY clause as follows: SELECT *Ĭode language: SQL (Structured Query Language) ( sql ) Using full-text query syntaxĪ full-text search query is made up of phrases, where each phrase is an ordered list of one or more tokens. It treats the terms fts5 FTS5 and Fts5 the same. In this way, you use the search term as the first table argument: SELECT *īy default, FTS5 is case-independent. Third, use a tabled-value function syntax. The following statement returns the same result as the statement above: SELECT * Second, use an equal ( =) operator in the WHERE clause of the SELECT statement. For example, to get all rows that have the term fts5, you use the following query: SELECT * You can execute a full-text query against an FTS5 table using one of these three ways.įirst, use a MATCH operator in the WHERE clause of the SELECT statement. ( 'SQLite Tutorial', 'Help you learn SQLite quickly and effectively') Īnd query data against it: SELECT * FROM posts Ĭode language: SQL (Structured Query Language) ( sql ) Querying data using full-text search ( 'Advanced SQlite Full-text Search', 'Show you some advanced techniques in SQLite full-text searching'),

#Ionic sqlite transaction how to#

VALUES( 'Learn SQlite FTS5', 'This tutorial teaches you how to perform full-text search in SQLite using FTS5'), Similar to a normal table, you can insert data into the posts table as follows: INSERT INTO posts(title, body) The following example creates an FTS5 table named posts with two columns title and body. Like creating a normal table without specifying the primary key column, SQLite adds an implicit rowid column to the FTS5 table. If you do so, SQLite will issue an error. Notice that you cannot add types, constraints, or PRIMARY KEY declaration in the CREATE VIRTUAL TABLE statement for creating an FTS5 table. The following CREATE VIRTUAL TABLE statement creates an FTS5 table with two columns: CREATE VIRTUAL TABLE table_nameĬode language: SQL (Structured Query Language) ( sql ) To use full-text search in SQLite, you use FTS5 virtual table module. The custom code can have specified logic to handle certain tasks such as getting data from multiple data sources. However, when you access a virtual table, SQLite calls the custom code to get the data. The difference between a virtual table and a normal table is where the data come from i.e., when you process a normal table, SQLite accesses the database file to retrieve data. Introduction to SQLite full-text searchĪ virtual table is a custom extension to SQLite. Summary: in this tutorial, you will learn how to use the SQLite full-text search feature by using the FTS5 virtual table module.