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https://dev.mysql.com/doc/mysql-monitor/8.0/en/mem-faq.html
C.7: Why does monitoring a MySQL instance with FEDERATED tables cause extra connections, and decreased performance? When the agent starts, it executes a discovery process that performs a number of INFORMATION_SCHEMA queries that gather table ...
https://dev.mysql.com/doc/mysql-monitor/8.0/en/mem-reports-ndb-cluster-memory-usage.html
The NDB Cluster Memory Usage report is based on the output from the ndbinfo.memory_per_fragment table. Table View The table view lists the statistics in a standard table format. Figure 30.13 NDB Cluster Memory Usage Report - Table View Treemap View ...Note This graph is displayed only if an NDB Cluster is selected in the Global Summaries drop-down menu, and All Targets from the All Targets ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-advisor-auto-indexing-syntax.html
Produces summarized output and sends it to stdout and to the autopilot_index_advisor_report table. When a target schema is specified, Advisor generates recommendations for tables belonging to the target schema. Only run Advisor on multiple schemas ... Autopilot Indexing uses the following syntax: mysql> CALL sys.autopilot_index_advisor ([options]); options: { JSON_OBJECT('key','value'[,'key','value'] ...) 'key','value': ['output',{'normal'|'silent'|'help'}] ['target_schema',JSON_ARRAY({'schema_name'[,'schema_name']}] } Autopilot Indexing options are specified as key-value pairs in JSON ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-metadata-queries-load-progress.html
The time required to load a table into MySQL HeatWave depends on data size. You can monitor load progress by issuing the following query, which returns a percentage value indicating load progress. mysql> SELECT VARIABLE_VALUE FROM ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-metadata-queries-query-offload.html
The sys.processlist and sys.x$processlist views in the MySQL sys Schema also include an execution_engine column.
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-classification-overview.html
mysql> CREATE DATABASE classification_data; mysql> USE classification_data; Create the table to insert the sample data into. This topic describes how to prepare the data to use for a classification machine learning model. The classification ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-predictions-ml-predict-row.html
The column names must match the feature column names in the trained table. Generate Predictions on One or More Rows of Data Another way to generate predictions is to create a JSON_OBJECT with specified columns and labels, and then generate ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-prepare-data-overview.html
Labeled Data Example A table of data for bank customers can be a labeled dataset. The feature columns in the table have data related to job, marital status, education, and city of residence. You can use some of the data in this table to train a ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-preparing-a-recommendation-model.html
mysql> CREATE DATABASE recommendation_data; mysql> USE recommendation_data; Create the table to insert the sample data into. mysql> CREATE TABLE training_dataset ( user_id VARCHAR(3), item_id VARCHAR(3), rating DECIMAL(3, 1), PRIMARY KEY (user_id, ... This topic describes how to prepare the data to use for a recommendation machine learning model using explicit ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-regression-prepare.html
mysql> CREATE DATABASE regression_data; mysql> USE regression_data; Create the table to insert the sample data into. mysql> CREATE TABLE house_price_training ( id INT PRIMARY KEY, house_size INT, address TEXT, state TEXT, price INT ); Insert the ...