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在mysql中information_schema这个数据库中保存了mysql服务器所有数据库的信息，

而在clickhouse，我们可以通过system.parts查看clickhouse数据库和表的容量大小、行数、压缩率以及分区信息。

在此通过测试数据库来说明。

1.查看数据库容量、行数、压缩率

SELECT     sum(rows) AS `总行数`,    formatReadableSize(sum(data_uncompressed_bytes)) AS `原始大小`,    formatReadableSize(sum(data_compressed_bytes)) AS `压缩大小`,    round((sum(data_compressed_bytes) / sum(data_uncompressed_bytes)) * 100, 0) AS `压缩率`FROM system.parts┌────总行数─┬─原始大小──┬─压缩大小─┬─压缩率─┐│ 326819026 │ 77.15 GiB │ 5.75 GiB │      7 │└───────────┴───────────┴──────────┴────────┘1 rows in set. Elapsed: 0.047 sec. Processed 1.04 thousand rows, 520.93 KB (21.95 thousand rows/s., 11.02 MB/s.)

2.查看数据表容量、行数、压缩率

--在此查询一张临时表的信息SELECT     table AS `表名`,    sum(rows) AS `总行数`,    formatReadableSize(sum(data_uncompressed_bytes)) AS `原始大小`,    formatReadableSize(sum(data_compressed_bytes)) AS `压缩大小`,    round((sum(data_compressed_bytes) / sum(data_uncompressed_bytes)) * 100, 0) AS `压缩率`FROM system.partsWHERE table IN ('temp_1')GROUP BY table┌─表名───┬──总行数─┬─原始大小───┬─压缩大小──┬─压缩率─┐│ temp_1 │ 3127523 │ 838.21 MiB │ 60.04 MiB │      7 │└────────┴─────────┴────────────┴───────────┴────────┘1 rows in set. Elapsed: 0.008 sec.

3.查看数据表分区信息

--查看测试表在19年12月的分区信息SELECT     partition AS `分区`,    sum(rows) AS `总行数`,    formatReadableSize(sum(data_uncompressed_bytes)) AS `原始大小`,    formatReadableSize(sum(data_compressed_bytes)) AS `压缩大小`,    round((sum(data_compressed_bytes) / sum(data_uncompressed_bytes)) * 100, 0) AS `压缩率`FROM system.partsWHERE (database IN ('default')) AND (table IN ('temp_1')) AND (partition LIKE '2019-12-%')GROUP BY partitionORDER BY partition ASC┌─分区───────┬─总行数─┬─原始大小──┬─压缩大小───┬─压缩率─┐│ 2019-12-01 │     24 │ 6.17 KiB  │ 2.51 KiB   │     41 ││ 2019-12-02 │   9215 │ 2.45 MiB  │ 209.74 KiB │      8 ││ 2019-12-03 │  17265 │ 4.46 MiB  │ 453.78 KiB │     10 ││ 2019-12-04 │  27741 │ 7.34 MiB  │ 677.25 KiB │      9 ││ 2019-12-05 │  31500 │ 8.98 MiB  │ 469.30 KiB │      5 ││ 2019-12-06 │    157 │ 37.50 KiB │ 4.95 KiB   │     13 ││ 2019-12-07 │    110 │ 32.75 KiB │ 3.86 KiB   │     12 │└────────────┴────────┴───────────┴────────────┴────────┘7 rows in set. Elapsed: 0.005 sec.

4.查看数据表字段的信息

SELECT     column AS `字段名`,    any(type) AS `类型`,    formatReadableSize(sum(column_data_uncompressed_bytes)) AS `原始大小`,    formatReadableSize(sum(column_data_compressed_bytes)) AS `压缩大小`,    sum(rows) AS `行数`FROM system.parts_columnsWHERE (database = 'default') AND (table = 'temp_1')GROUP BY columnORDER BY column ASC┌─字段名───────────┬─类型─────┬─原始大小───┬─压缩大小───┬────行数─┐│ a                │ String   │ 23.83 MiB  │ 134.13 KiB │ 3127523 ││ b                │ String   │ 19.02 MiB  │ 127.72 KiB │ 3127523 ││ c                │ String   │ 5.97 MiB   │ 49.09 KiB  │ 3127523 ││ d        		   │ String   │ 3.95 MiB   │ 532.86 KiB │ 3127523 ││ e                │ String   │ 5.17 MiB   │ 49.47 KiB  │ 3127523 ││ totalDate        │ DateTime │ 11.93 MiB  │ 1.26 MiB   │ 3127523 │└──────────────────┴──────────┴────────────┴────────────┴─────────┘

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