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PolarDB:Overall process and estimated time

Last Updated:Sep 29, 2024

When accidental operations are performed on tables, you can use the table and database restoration feature to restore the tables to the original cluster.

You can restore data to an earlier point in time or from a backup set (snapshot). The earlier point in time to which you want to restore data may coincide with the time when a backup set was created. In this case, you can restore data from the backup set. If no backup sets were created at the point in time to which you want to restore data, you can only choose to restore data to the earlier point in time.

Overall restoration process

The key steps of the restoration process are the same regardless of whether you restore data to an earlier point of time or from a backup set. The restoration process mainly includes the following steps: 1. Create a temporary node and restore data at an earlier point of time to the node. 2. Restore the data to the original cluster.

The new version of the database and table restoration feature was released on April 3, 2024. Compared with the original version, the new version reduces the time required to restore data to the original cluster. The restored data can also be automatically synchronized to the hot standby storage cluster and the Global Database Network (GDN) secondary cluster, which significantly reduces the overall restoration time.

A PolarDB for MySQL cluster whose Database Edition is Enterprise Edition supports the new version of the database and table restoration feature only if the cluster runs one of the following database engine versions:

  • PolarDB for MySQL 8.0.2 whose revision version is 8.0.2.2.25.3 or later.

  • PolarDB for MySQL 8.0.1 whose revision version is 8.0.1.1.44 or later.

  • PolarDB for MySQL 5.7 whose revision version is 5.7.1.0.30 or later.

  • PolarDB for MySQL 5.6 whose revision version is 5.6.1.0.42 or later.

If your cluster runs a version that supports the new version of the database and table restoration feature, you can use the new version of the database and table restoration feature to restore your databases or tables. The following figure shows the database and table data restoration process of the original and new versions.

image
Note

We recommend that you restore data during off-peak hours.

Estimated time required for restoration

The following table describes the estimated time required to restore data. The estimated time is provided only for reference.

Step

Estimated time

Create a temporary node and restore data from the backup set to the node.

Approximately 3 to 10 minutes

Restore incremental data by using redo logs.

Note

Redo logs are used only when you want to restore data to an earlier point in time. The restoration duration varies based on the size of redo logs that are used.

1.5 GB/minute

Restore data to the original cluster.

See Table 1. Test speeds of database and table restoration.

More time is required to restore terabytes of data in databases and tables. For a quick restoration, you can restore full data from a backup set (snapshot). In most cases, this process requires several minutes to complete. For more information, see Method 1 for full restoration: Restore data from a backup set.

The following table provides the test speeds of database and table restoration. The restoration speed in this table indicates only the speed at which data is restored to the original cluster.

Table 1. Test speeds of database and table restoration

CPU and memory (dedicated)

Test data

innodb_io_capacity

innodb_io_capacity_max

Hot standby storage cluster enabled

Time required for the original version

Time required for the new version

Restoration speed for the original version

Restoration speed for the new version

Speed increase of the new version

2 cores, 8 GB memory

224.06 GB common table

4000

8000

Yes

3 hours 38 minutes 25 seconds

1 hour 43 minutes 36 seconds

1.03 GB/minute

2.16 GB/minute

111%

No

2 hours 23 minutes 0 seconds

1.57 GB/minute

38%

4 cores, 16 GB memory

208.83 GB common table

4000

8000

Yes

3 hours 3 minutes 31 seconds

1 hour 36 minutes 41 seconds

1.14 GB/minute

2.16 GB/minute

89%

No

1 hour 45 minutes 53 seconds

1.97 GB/minute

10 %

8000

16000

Yes

3 hours 3 minutes 15 seconds

1 hour 3 minutes 49 seconds

1.14 GB/minute

3.27 GB/minute

187 %

No

1 hour 45 minutes 53 seconds

1.97 GB/minute

66 %

8 cores, 32 GB memory

202.97 GB common table

4000

8000

Yes

2 hours 50 minutes 56 seconds

1 hour 28 minutes 26 seconds

1.19 GB/minute

2.30 GB/minute

93%

No

1 hour 38 minutes 57 seconds

2.05 GB/minute

12%

18000

36000

Yes

2 hours 51 minutes 5 seconds

42 minutes 39 seconds

1.19 GB/minute

4.76 GB/minute

301%

No

1 hour 38 minutes 33 seconds

1.31 GB/minute

131%

16 cores, 64 GB memory

206.01 GB common table

4000

8000

Yes

2 hours 55 minutes 26 seconds

1 hour 31 minutes 14 seconds

1.17 GB/minute

2.26 GB/minute

93%

No

1 hour 42 minutes 20 seconds

2.01 GB/minute

12%

20000

40000

Yes

2 hours 53 minutes 49 seconds

1 hour 0 minutes 9 seconds

1.19 GB/minute

3.42 GB/minute

189%

No

1 hour 40 minutes 35 seconds

2.05 GB/minute

67%

  • The database and table restoration speed is affected by the following factors: whether hot standby storage cluster is enabled, the primary node specifications, the innodb_io_capacity parameter value, and the number of tables you want to restore.

  • The preceding test data does not include scenarios that involve a large number of tables. If you want to restore a large number of tables, the restoration process requires a longer period of time to complete.

  • You can adjust the restoration speed by dynamically adjusting the values of the innodb_io_capacity and innodb_io_capacity_max parameters. The adjustment of the parameters has minimal impact on the restoration speed of the original version but significantly enhances the restoration speed of the new version.

  • The preceding test data is provided only for reference. The actual restoration speed is affected by various factors such as the underlying hardware and network conditions.