Buckets:
| TYPE=VIEW | |
| query=select `sys`.`format_statement`(`performance_schema`.`events_statements_summary_by_digest`.`DIGEST_TEXT`) AS `query`,`performance_schema`.`events_statements_summary_by_digest`.`SCHEMA_NAME` AS `db`,`performance_schema`.`events_statements_summary_by_digest`.`COUNT_STAR` AS `exec_count`,`sys`.`format_time`(`performance_schema`.`events_statements_summary_by_digest`.`SUM_TIMER_WAIT`) AS `total_latency`,`performance_schema`.`events_statements_summary_by_digest`.`SUM_SORT_MERGE_PASSES` AS `sort_merge_passes`,round(ifnull(`performance_schema`.`events_statements_summary_by_digest`.`SUM_SORT_MERGE_PASSES` / nullif(`performance_schema`.`events_statements_summary_by_digest`.`COUNT_STAR`,0),0),0) AS `avg_sort_merges`,`performance_schema`.`events_statements_summary_by_digest`.`SUM_SORT_SCAN` AS `sorts_using_scans`,`performance_schema`.`events_statements_summary_by_digest`.`SUM_SORT_RANGE` AS `sort_using_range`,`performance_schema`.`events_statements_summary_by_digest`.`SUM_SORT_ROWS` AS `rows_sorted`,round(ifnull(`performance_schema`.`events_statements_summary_by_digest`.`SUM_SORT_ROWS` / nullif(`performance_schema`.`events_statements_summary_by_digest`.`COUNT_STAR`,0),0),0) AS `avg_rows_sorted`,`performance_schema`.`events_statements_summary_by_digest`.`FIRST_SEEN` AS `first_seen`,`performance_schema`.`events_statements_summary_by_digest`.`LAST_SEEN` AS `last_seen`,`performance_schema`.`events_statements_summary_by_digest`.`DIGEST` AS `digest` from `performance_schema`.`events_statements_summary_by_digest` where `performance_schema`.`events_statements_summary_by_digest`.`SUM_SORT_ROWS` > 0 order by `performance_schema`.`events_statements_summary_by_digest`.`SUM_TIMER_WAIT` desc | |
| md5=664a2aeb01fd20e693e3ac931da41ce0 | |
| updatable=1 | |
| algorithm=1 | |
| definer_user=mariadb.sys | |
| definer_host=localhost | |
| suid=0 | |
| with_check_option=0 | |
| timestamp=0001778960432254442 | |
| create-version=2 | |
| source=SELECT sys.format_statement(DIGEST_TEXT) AS query,\n SCHEMA_NAME db,\n COUNT_STAR AS exec_count,\n sys.format_time(SUM_TIMER_WAIT) AS total_latency,\n SUM_SORT_MERGE_PASSES AS sort_merge_passes,\n ROUND(IFNULL(SUM_SORT_MERGE_PASSES / NULLIF(COUNT_STAR, 0), 0)) AS avg_sort_merges,\n SUM_SORT_SCAN AS sorts_using_scans,\n SUM_SORT_RANGE AS sort_using_range,\n SUM_SORT_ROWS AS rows_sorted,\n ROUND(IFNULL(SUM_SORT_ROWS / NULLIF(COUNT_STAR, 0), 0)) AS avg_rows_sorted,\n FIRST_SEEN as first_seen,\n LAST_SEEN as last_seen,\n DIGEST AS digest\n FROM performance_schema.events_statements_summary_by_digest\n WHERE SUM_SORT_ROWS > 0\n ORDER BY SUM_TIMER_WAIT DESC; | |
| client_cs_name=utf8mb3 | |
| connection_cl_name=utf8mb3_general_ci | |
| view_body_utf8=select `sys`.`format_statement`(`performance_schema`.`events_statements_summary_by_digest`.`DIGEST_TEXT`) AS `query`,`performance_schema`.`events_statements_summary_by_digest`.`SCHEMA_NAME` AS `db`,`performance_schema`.`events_statements_summary_by_digest`.`COUNT_STAR` AS `exec_count`,`sys`.`format_time`(`performance_schema`.`events_statements_summary_by_digest`.`SUM_TIMER_WAIT`) AS `total_latency`,`performance_schema`.`events_statements_summary_by_digest`.`SUM_SORT_MERGE_PASSES` AS `sort_merge_passes`,round(ifnull(`performance_schema`.`events_statements_summary_by_digest`.`SUM_SORT_MERGE_PASSES` / nullif(`performance_schema`.`events_statements_summary_by_digest`.`COUNT_STAR`,0),0),0) AS `avg_sort_merges`,`performance_schema`.`events_statements_summary_by_digest`.`SUM_SORT_SCAN` AS `sorts_using_scans`,`performance_schema`.`events_statements_summary_by_digest`.`SUM_SORT_RANGE` AS `sort_using_range`,`performance_schema`.`events_statements_summary_by_digest`.`SUM_SORT_ROWS` AS `rows_sorted`,round(ifnull(`performance_schema`.`events_statements_summary_by_digest`.`SUM_SORT_ROWS` / nullif(`performance_schema`.`events_statements_summary_by_digest`.`COUNT_STAR`,0),0),0) AS `avg_rows_sorted`,`performance_schema`.`events_statements_summary_by_digest`.`FIRST_SEEN` AS `first_seen`,`performance_schema`.`events_statements_summary_by_digest`.`LAST_SEEN` AS `last_seen`,`performance_schema`.`events_statements_summary_by_digest`.`DIGEST` AS `digest` from `performance_schema`.`events_statements_summary_by_digest` where `performance_schema`.`events_statements_summary_by_digest`.`SUM_SORT_ROWS` > 0 order by `performance_schema`.`events_statements_summary_by_digest`.`SUM_TIMER_WAIT` desc | |
| mariadb-version=101114 | |
Xet Storage Details
- Size:
- 4.43 kB
- Xet hash:
- 61f9b148c3719c71b01c498cab1d69ba011dd490d8eebd6f39b0320a7abc6288
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.