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https://dev.mysql.com/doc/relnotes/connector-j/en/news-8-0-7.html
Functionality Added or Changed Bugs Fixed Functionality Added or Changed X DevAPI: There are changes to some methods related to the Result interface: getLastDocumentId() and getLastDocumentIds() have been replaced with getDocumentId() and ... MySQL ...
https://dev.mysql.com/doc/refman/8.4/en/mysqldump.html
--compression-algorithms=value Command-Line Format --compression-algorithms=value Type Set Default Value uncompressed Valid Values zlibzstduncompressed The permitted compression algorithms for connections to the server. The available algorithms are ... The mysqldump client utility performs logical backups, producing a set of SQL statements that can be executed to reproduce the original database object definitions and table ...
https://dev.mysql.com/doc/ndbapi/en/ndbapi-examples-common-files.html
array_adapter.hpp #ifndef ARRAY_ADAPTER_HPP #define ARRAY_ADAPTER_HPP #include <algorithm> #include <assert.h> /* Utility classes to convert between C++ strings/byte arrays and the internal format used for [VAR]CHAR/BINARY types. In the NDB Cluster ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-anomaly-detection-logs.html
What's Next Learn more about the following: Anomaly Detection Algorithm Model Types Anomaly Detection Learning Types Learn how to Prepare Data for an Anomaly Detection Model. MySQL 9.2.2 introduces the ability to detect anomalies in log data. To ...
https://dev.mysql.com/doc/heatwave-aws/en/heatwave-aws-cloudwatch-metrics.html
Table 17-1 CloudWatch Metrics for MySQL HeatWave on AWS Metric Unit Description Dimensions Monitoring Configuration Templates the Metric Is In heatwave.auto_ml_operation_count Count The number of AutoML operations that have been executed. dbSystemId ... CloudWatch Monitoring Metrics 17.1.1 CloudWatch Monitoring Metrics CloudWatch metrics can be used to monitor resources, diagnose issues, and troubleshoot your DB systems and their MySQL HeatWave ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-anomaly-detection-logs.html
What's Next Learn more about the following: Anomaly Detection Algorithm Model Types Anomaly Detection Learning Types Learn how to Prepare Data for an Anomaly Detection Model. Anomaly detection for logs allows you to detect anomalies in log data. To ...
https://dev.mysql.com/doc/c-api/8.4/en/mysql-options.html
As of MySQL 8.0.18, MYSQL_OPT_COMPRESS becomes a legacy option, due to the introduction of the MYSQL_OPT_COMPRESSION_ALGORITHMS option for more control over connection compression (see Configuring Connection Compression). The meaning of ... int ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-rag.html
To define your natural-language query, set the @query variable: mysql>SET @query="AddYourQuery"; Replace AddYourQuery with your natural-language query. The output looks similar to the following: | { "text": " AutoML is a machine learning technique ... The ML_RAG routine runs retrieval-augmented generation which aims to generate more accurate responses for your ...
https://dev.mysql.com/doc/heatwave-aws/en/heatwave-aws-bulk-ingest-limitations.html
Bulk Ingest Limitations 7.2.2.3 Bulk Ingest Limitations The following are some limitations to the Bulk Ingest Feature of MySQL HeatWave on AWS when using the LOAD DATA FROM S3 statement with ALGORITHM=BULK: The target table must be empty. If the ...
https://dev.mysql.com/doc/heatwave-aws/en/heatwave-aws-hwaml-create-model.html
Create a MySQL HeatWave AutoML model includes an advanced option to choose one or more algorithms. MySQL HeatWave AutoML uses the selected algorithms as a pool of algorithms, and will choose the most applicable algorithm from this pool to evaluate ... Create a MySQL HeatWave AutoML model 13.2 Create a MySQL HeatWave AutoML model Use the MySQL HeatWave Console to create a new MySQL HeatWave AutoML ...