The following simple INFORMATION_SCHEMA statement will identify and also verify tables that have no rows. These may be candidate tables to remove from your data model.
mysql --defaults-file=.my.cnf -N -e "select CONCAT('SELECT "',table_schema,'.',table_name,'" AS tbl, COUNT(*) AS cnt FROM ',table_schema,'.',table_name,';') as cmd from information_schema.tables where table_schema not in ('mysql','performance_schema','information_schema') and table_rows=0;" | mysql --defaults-file=.my.cnf -N
I previously came across an issue in my benchmarking work where I relied on the Latency Histogram section of sysbench output. On Linux it worked fine — I generally ran my workload there, so it never mattered.
Read moreIn Curated MySQL Data Sets for Realistic Testing I described datasets assembled the manual way — download, schema, load, validate, document — over hours or days per source. This post is the follow-up I promised: what changes when AI assists the same workflow, using DuckDB as the target engine and GeoNames as the first example.
Read moreLet’s say you’re building a reference table from source data, e.g. a silver medallion table from a primary source. In this example I am using a file of random locations on the globe extracted from OpenStreetMap (OSM) as my primary source.
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