问题
如何备份 ClickHouse 中的特定分区?
答案
请参见以下示例,其中使用了我们 docker compose 示例 页面中列出的 S3(Minio) 磁盘配置。
创建表:
ch_minio_s3 :) CREATE TABLE my_table
(
`event_time` DateTime,
`field_foo` String,
`field_bar` String,
`number` UInt256
)
ENGINE = MergeTree
PARTITION BY number % 2
ORDER BY tuple()
CREATE TABLE my_table
(
`event_time` DateTime,
`field_foo` String,
`field_bar` String,
`number` UInt256
)
ENGINE = MergeTree
PARTITION BY number % 2
ORDER BY tuple()
Query id: a1a54a5a-eac0-477c-b847-b40acaa62780
Ok.
0 rows in set. Elapsed: 0.016 sec.添加一些数据,使两个分区被均匀填满:
ch_minio_s3 :) INSERT INTO my_table SELECT
toDateTime(now() + number) AS event_time,
randomPrintableASCII(10) AS field_foo,
randomPrintableASCII(20) AS field_bar,
number
FROM numbers(1000000)
INSERT INTO my_table SELECT
toDateTime(now() + number) AS event_time,
randomPrintableASCII(10) AS field_foo,
randomPrintableASCII(20) AS field_bar,
number
FROM numbers(1000000)
Query id: bf6ef803-5747-4ea1-ad00-a17967e349b6
Ok.
0 rows in set. Elapsed: 0.282 sec. Processed 1.00 million rows, 8.00 MB (3.55 million rows/s., 28.39 MB/s.)验证数据:
ch_minio_s3 :) SELECT
_partition_id AS partition_id,
cityHash64(sum(number)) AS hash,
count() AS count
FROM my_table
GROUP BY partition_id
SELECT
_partition_id AS partition_id,
cityHash64(sum(number)) AS hash,
count() AS count
FROM my_table
GROUP BY partition_id
Query id: d8febfb0-5339-4f97-aefa-ef0003128526
┌将 ID 为 1 的分区备份到已配置的 s3 磁盘:
ch_minio_s3 :) BACKUP TABLE my_table PARTITION 1 TO Disk('s3','backups/');
BACKUP TABLE my_table PARTITION 1 TO Disk('s3', 'backups/')
Query id: 810f6144-e282-42e2-99d0-9a80c75a927d
┌删除表:
ch_minio_s3 :) DROP TABLE my_table
DROP TABLE my_table
Query id: c3456044-4689-406e-82ac仅恢复备份中 id 为 1 的分区:
ch_minio_s3 :) RESTORE TABLE my_table PARTITION 1 FROM Disk('s3','backups/');
RESTORE TABLE my_table PARTITION 1 FROM Disk('s3', 'backups/')
Query id: ea306c73-83c5-479f-9c0c-391594facc69
┌─id───────────────────────────────────┬─status───┐
│ ec6841a8-0607-465e-bc4d-d446f960d40a │ RESTORED │
└──────────────────────────────────────┴──────────┘
1 row in set. Elapsed: 0.065 sec.验证恢复后的数据:
ch_minio_s3 :) SELECT
_partition_id AS partition_id,
cityHash64(sum(number)) AS hash,
count() AS count
FROM my_table
GROUP BY partition_id
SELECT
_partition_id AS partition_id,
cityHash64(sum(number)) AS hash,
count() AS count
FROM my_table
GROUP BY partition_id
Query id: a916176d-6a6e-47fc-ba7d-79bb33b152d8
┌