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https://dev.mysql.com/doc/ndbapi/en/ndb-ndbblob.html
This section provides information about the NdbBlob class, which models a handle to a blob column and provides read and write access to blob column values. This object has a number of different states and provides several modes of access to blob ...
https://dev.mysql.com/doc/ndbapi/en/ndb-start-mysql-data-types.html
This section provides information about the way in which MySQL data types are represented in NDBCLUSTER table columns and how these values can be accessed in NDB API applications. The MySQL TINYINT, SMALLINT, INT, and BIGINT data types map to NDB ...
https://dev.mysql.com/doc/x-devapi-userguide/en/collection-modify.html
The modify(SearchConditionStr) function is for modifying documents in a collection, similar to an UPDATE statement for an SQL database. It takes a search condition string (SearchConditionStr) as a parameter to specify the documents that are to be ...
https://dev.mysql.com/doc/heatwave/en/heatwave-errors.html
The following list contains all current MySQL HeatWave errors in numerical order. The entry for each error contains the error number, name (symbol), description, and suggested workaround for the condition that gave rise to the error. Error number: ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-query-runtimes.html
This topic describes how you can view MySQL HeatWave query runtimes and runtime estimates using the MySQL HeatWave Autopilot Advisor Auto Query Time Estimation feature, or by querying the performance_schema.rpd_query_stats table. Runtime data is ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-iris-quickstart.html
This quickstart illustrates an end-to-end example of creating and using a predictive machine learning model using MySQL HeatWave AutoML. It steps through preparing data, using the ML_TRAIN routine to train a model, and using ML_PREDICT_* and ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-scoring-an-anomaly-detection-model.html
After generating predictions, you can score the model to assess its reliability. For a list of scoring metrics you can use with anomaly detection models, see Anomaly Detection Metrics. For this use case, you use the test dataset for validation. In ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-train-test-split.html
MySQL 9.4.1 introduces the TRAIN_TEST_SPLIT routine, which automatically splits your data into training and testing datasets. Two new tables in the same database are created with the following names: [original_table_name]_train ...
https://dev.mysql.com/doc/connector-j/en/connector-j-usagenotes-troubleshooting.html
This section explains the symptoms and resolutions for the most commonly encountered issues with applications using MySQL Connector/J. Questions 16.1: When I try to connect to the database with MySQL Connector/J, I get the following exception: ...
https://dev.mysql.com/doc/refman/8.4/en/audit-log-file-reading.html
The audit log plugin supports functions that provide an SQL interface for reading JSON-format audit log files. (This capability does not apply to log files written in other formats.) When the audit log plugin initializes and is configured for JSON ...