Find and export
your MySQL data.

1. 1Connect with an account that can inspect all application schemas in scope.
2. 2Run the read-only information_schema query below.
3. 3Record each schema's data-plus-index size and convert bytes to GB with the basis stated.
4. 4Inspect key tables and their oldest business timestamps for counts and years covered.

SELECT table_schema,
       SUM(data_length + index_length) AS size_bytes
FROM information_schema.tables
WHERE table_schema NOT IN
  ('mysql', 'information_schema', 'performance_schema', 'sys')
GROUP BY table_schema
ORDER BY size_bytes DESC;

Report in GB, naming schemas and whether indexes are included. Give table or row quantities separately where available.

Describe the retained business period and any external file store. Identify production, archive and replica copies so totals stay interpretable.

1. 1Have the administrator choose a consistent snapshot route appropriate to the table storage engines.
2. 2Use mysqldump for the agreed schemas, including routines, triggers and events where required.
3. 3For a larger collection, review MySQL Shell dump utilities, which support parallel compressed exports.
4. 4Verify table coverage and collect external files and schema documentation separately.

The --single-transaction route provides its snapshot guarantee for suitable transactional tables such as InnoDB. Other engines need separate planning.

Physical storage, dump size and uncompressed record size can differ. Keep the measurement method with each quantity.

Relational tables can connect customers, transactions and operational events over time.

Schema relationships and field definitions provide the context needed to interpret those sequences.

Choose schemas, tables and columns in scope, reviewing personal, credential and sensitive business fields.

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