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https://dev.mysql.com/doc/heatwave/en/mys-hw-mathematical-functions.html
What's Next Learn how to perform the following tasks: Run queries Modify tables Retrieve MySQL HeatWave Metadata Optimize workloads for OLAP and OLTP Monitor MySQL HeatWave processes . Table 5.9 Mathematical Functions Name Description ABS() Return ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-pre-authenticated-requests.html
Before You Begin Review the following: Additional MySQL HeatWave Lakehouse Requirements MySQL HeatWave Lakehouse Privileges Supported File Formats PAR Privileges To create pre-authenticated requests to access Object Storage resources, you require ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-restrictions-async-exec.html
This is because MySQL Events are executed by a reserved internal user called event_scheduler, and the SESSION_USER() and USER() functions return the value event_scheduler instead of the actual session user name. Therefore, only those specific SQL ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-rpd-columns-table.html
The rpd_columns table provides column encoding information for columns of tables loaded in MySQL HeatWave. For a DATA_PLACEMENT_INDEX query that identifies columns with data placement keys, see Section 4.5, “Retrieve MySQL HeatWave Metadata”.
https://dev.mysql.com/doc/heatwave/en/mys-hw-rpd-preload-stats-table.html
The statistics are used to estimate the number of MySQL HeatWave nodes required for a given dataset before loading the tables into the MySQL HeatWave Cluster. The rpd_preload_stats table stores column level statistics collected from InnoDB tables.
https://dev.mysql.com/doc/heatwave/en/mys-hw-sql-modes.html
In addition, the following SQL modes are supported: ANSI_QUOTES HIGH_NOT_PRECEDENCE IGNORE_SPACE NO_BACKSLASH_ESCAPES REAL_AS_FLOAT TIME_TRUNCATE_FRACTIONAL Temporal types are supported only with strict SQL mode. What's Next Learn how to perform the ... Default DB System SQL modes are supported, which include ONLY_FULL_GROUP_BY, STRICT_TRANS_TABLES, NO_ZERO_IN_DATE, NO_ZERO_DATE, ERROR_FOR_DIVISION_BY_ZERO, and ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-workload-optimization-oltp.html
Online transaction processing, OLTP, does not require a MySQL HeatWave Cluster, nor the secondary engine.
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-anomaly-detection-model-types.html
In MySQL HeatWave, there are two types of learning for anomaly detection models: unsupervised and semi-supervised. Unsupervised Anomaly Detection When running an unsupervised anomaly detection model, the machine learning algorithm requires no ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-anomaly-detection-models.html
You can use the following anomaly detection model types: GkNN (Generalized kth Nearest Neighbors) PCA (Principal Component Analysis) (As of MySQL 8.4.0) GLOF (Generalized Local Outlier Factor) (As of MySQL 8.4.0) GkNN Model Generalized kth Nearest ...It is a single ensemble algorithm that outperforms state-of-the-art models on public ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-classification.html
To generate your own datasets to create machine learning models in MySQL HeatWave, learn how to Generate Text-Based Content. Your use of this Llama model is subject to your Oracle agreements and this Llama license agreement: ... Classification ...