MySQL 5.7 Reference Manual Including MySQL NDB Cluster 7.5 and NDB Cluster 7.6
      This section describes how to configure persistent and
      non-persistent optimizer statistics for InnoDB
      tables.
    
Persistent optimizer statistics are persisted across server restarts, allowing for greater plan stability and more consistent query performance. Persistent optimizer statistics also provide control and flexibility with these additional benefits:
          You can use the
          innodb_stats_auto_recalc
          configuration option to control whether statistics are updated
          automatically after substantial changes to a table.
        
          You can use the STATS_PERSISTENT,
          STATS_AUTO_RECALC, and
          STATS_SAMPLE_PAGES clauses with
          CREATE TABLE and
          ALTER TABLE statements to
          configure optimizer statistics for individual tables.
        
          You can query optimizer statistics data in the
          mysql.innodb_table_stats and
          mysql.innodb_index_stats tables.
        
          You can view the last_update column of the
          mysql.innodb_table_stats and
          mysql.innodb_index_stats tables to see when
          statistics were last updated.
        
          You can manually modify the
          mysql.innodb_table_stats and
          mysql.innodb_index_stats tables to force a
          specific query optimization plan or to test alternative plans
          without modifying the database.
        
      The persistent optimizer statistics feature is enabled by default
      (innodb_stats_persistent=ON).
    
Non-persistent optimizer statistics are cleared on each server restart and after some other operations, and recomputed on the next table access. As a result, different estimates could be produced when recomputing statistics, leading to different choices in execution plans and variations in query performance.
      This section also provides information about estimating
      ANALYZE TABLE complexity, which may
      be useful when attempting to achieve a balance between accurate
      statistics and ANALYZE TABLE
      execution time.