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https://dev.mysql.com/doc/ndbapi/en/mccj-clusterj-dbug.html
Table 4.28 append(String) Parameter Description fileName the name of the file return this 4.3.1.15.3 debug(String) public abstract Dbug debug(String string); Set the list of debug keywords. Table 4.29 debug(String) Parameter Description string the ... Dbug allows clusterj applications to enable the DBUG functionality in cluster ndbapi ...
https://dev.mysql.com/doc/ndbapi/en/ndb-start-mysql-db-object-names.html
Instead, they are modelled as attributes of Table and Index objects. The value of the database attribute of one of these objects is always the same as the name of the MySQL database to which the table or index belongs. The value of the schema ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-secondary-load-partitions.html
As of MySQL 9.1.0, MySQL HeatWave supports partitions for DB System tables. Loading Partitions using Secondary _Load Clause To load partitions into MySQL HeatWave, specify the SECONDARY_LOAD clause in an ALTER TABLE statement with the PARTITION ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-classification-generate-explanation.html
Generate Prediction Explanations for a Table After training a model, you can generate a table of prediction explanations on the testing_data dataset by using the default Permutation Importance prediction explainer. To generate explanations for other ... After training a classification model, you can query the default model explanation or query new model ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-ml-metrics.html
If the input table overlaps with the training table, and remove_seen is true, which is the default setting, then the model will not repeat a recommendation and it ignores the overlap items. The precision_at_k value for the input table is the average ... The ML_TRAIN routine includes the optimization_metric option, and the ML_SCORE routine includes the metric ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-using-a-recommendation-model.html
Before You Begin Complete the following tasks: Prepare Data for a Recommendation Model Train a Recommendation Model Options for Generating Predictions The options for ML_PREDICT_ROW and ML_PREDICT_TABLE include the following: threshold: The optional ...To generate predictions, use the sample data from the testing_dataset ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-9-2-2.html
This default value change will impact the following processes: New vector store tables will be created using multilingual-e5-small by default. Retrieval augmented generation (RAG) will search tables created using the default embedding model, ...
https://dev.mysql.com/doc/heatwave-aws/en/heatwave-aws-privatelink-details.html
PrivateLink Details 6.3.5.1 PrivateLink Details The PrivateLink Details page has the following tabs: Table 6-3 Tabs on the PrivateLink Details Page Name Description Details Details of the PrivateLink. Table 6-4 PrivateLink Details Field Description ...Endpoints (for Egress PrivateLinks only) Details of the connectivity provided by this Egress ...
https://dev.mysql.com/doc/connector-j/en/connector-j-usagenotes-last-insert-id.html
The final example shows how updatable result sets can retrieve the AUTO_INCREMENT value when using the insertRow() method. getGeneratedKeys() is the preferred method to use if you need to retrieve AUTO_INCREMENT keys and through JDBC; this is ...
https://dev.mysql.com/doc/refman/9.7/en/access-control.html
For example: SHOW GRANTS FOR 'joe'@'office.example.com'; SHOW GRANTS FOR 'joe'@'home.example.com'; Internally, the server stores privilege information in the grant tables of the mysql system database. The MySQL server reads the contents of these ...