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https://dev.mysql.com/doc/refman/8.4/en/mysql-cluster-programs-ndb-blob-tool.html
It is sometimes useful in diagnosing and repairing corrupted or damaged NDB tables containing BLOB or TEXT columns. In addition, you can optionally follow the table name with the (comma-separated) names of one or more BLOB or TEXT columns from that ... This tool can be used to check for and remove orphaned BLOB column parts from NDB tables, as well as to generate a file listing any orphaned ...
https://dev.mysql.com/doc/refman/8.4/en/fulltext-stopwords.html
The stopword list is loaded and searched for full-text queries using the server character set and collation (the values of the character_set_server and collation_server system variables). False hits or misses might occur for stopword lookups if the ...For example, lookups are case-insensitive if the collation is utf8mb4_0900_ai_ci, whereas lookups are case-sensitive if the collation is utf8mb4_0900_as_cs or ...
https://dev.mysql.com/doc/extending-mysql/8.4/en/plugin-types.html
The plugin API enables creation of plugins that implement several capabilities: Loadable functions (UDFs) Storage engines Full-text parsers Daemons INFORMATION_SCHEMA tables Semisynchronous replication Auditing Authentication Password validation ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-topic-modeling-prediction.html
After training the model, you can run topic modeling on the trained text. When the output table generates, you can review the generated word groups and expressions for the trained text. To run topic modeling, use the sample data from the movies ...
https://dev.mysql.com/doc/refman/8.4/en/fulltext-query-expansion.html
Full-text search supports query expansion (and in particular, its variant “blind query expansion”). This is generally useful when a search phrase is too short, which often means that the user is relying on implied knowledge that the full-text ...For example, a user searching for “database” may really mean that “MySQL”, “Oracle”, “DB2”, and “RDBMS” all are phrases that should match “databases” and should be returned, ...
https://dev.mysql.com/doc/refman/8.4/en/myisam-ftdump.html
Example: Suppose that the test database contains a table named mytexttable that has the following definition: CREATE TABLE mytexttable ( id INT NOT NULL, txt TEXT NOT NULL, PRIMARY KEY (id), FULLTEXT (txt) ) ENGINE=MyISAM; The index on id is index 0 ...It reads the MyISAM index file directly, so it must be run on the server host where the table is ...
https://dev.mysql.com/doc/refman/8.4/en/mysql-batch-commands.html
To do so, create a text file text_file that contains the statements you wish to execute. The mysql client typically is used interactively, like this: mysql db_name However, it is also possible to put your SQL statements in a file and then tell ...
https://dev.mysql.com/doc/refman/8.4/en/glossary.html
atomic In the SQL context, transactions are units of work that either succeed entirely (when committed) or have no effect at all (when rolled back). The values from such a column can be used as lookup keys in various contexts, and because they are ... These terms are commonly used in information about the MySQL database ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-byo-embedding-tables.html
The ML_RAG and ML_RAG_TABLE routines let you specify the table column names to use as filters for finding relevant tables for context retrieval. In addition to the specified column names, the ML_RAG and ML_RAG_TABLE routines use the name of the ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-rag.html
As of MySQL 9.2.1, for context retrieval, the ML_RAG routine uses the name of the embedding model used to embed the input query to find relevant vector store tables that contain vector embeddings from the same embedding model. This topic contains ...