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https://dev.mysql.com/doc/x-devapi-userguide/en/synchronous-vs-asynchronous-execution.html
Traditionally, many MySQL drivers used a synchronous approach when executing SQL statements. This meant that operations such as opening connections and executing queries were blocked until completion, which could take a long time. To allow for ...
https://dev.mysql.com/doc/x-devapi-userguide/en/using-sql.html
In addition to the simplified X DevAPI syntax of the Session object, the Session object has a sql() function that takes any SQL statement as a string. The following example uses a Session to call an SQL Stored Procedure on the specific node.
https://dev.mysql.com/doc/mysql-monitor/8.0/en/dashboard-overview-graphs.html
Each group, cluster, and asset displays a different set of default sparkline graphs. To change a graph, do the following: Select the Settings button, the gear on the right side of the Overview page. The Instruments list is displayed: Figure 25.5 ...
https://dev.mysql.com/doc/mysql-monitor/8.0/en/mem-replication-dashboard-ui-ref.html
Important The Max Replication Delay field displays the total amount of replication delay which exists on the monitored topologies. To display a replication group, choose a group from the Replication Topology drop-down list. Important Clicking the ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-rag.html
The ML_RAG routine runs retrieval-augmented generation which aims to generate more accurate responses for your queries. 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 ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-partitioning.html
When data is loaded into MySQL HeatWave, it is partitioned by the table primary key and sliced horizontally for distribution among MySQL HeatWave nodes by default. To use this feature, define data placement keys on the most frequently used JOIN ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-troubleshooting.html
Solution A: Your query contains an unsupported predicate, function, operator, or has encountered some other limitation. Solution B: Query execution time is less than the query cost threshold. MySQL HeatWave is designed for fast execution of large ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-data-drift-detection.html
MySQL HeatWave AutoML includes data drift detection for the following models: Classification Regression Anomaly detection (as of MySQL 9.3.2) Before You Begin Review how to Create a Machine Learning Model. Data Drift Detection Overview Machine ...
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-ml-explain-row.html
The ML_EXPLAIN_ROW routine generates explanations for one or more rows of unlabeled data. A loaded and trained model with the appropriate prediction explainer is required to run ML_EXPLAIN_ROW. ML_EXPLAIN_ROW does not support recommendation, ...