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Back up and Restore Data Using Dumpling and TiDB Lightning

This document introduces how to use Dumpling and TiDB Lightning to back up and restore full data of TiDB.

If you need to back up a small amount of data (for example, less than 50 GB) and do not require high backup speed, you can use Dumpling to export data from the TiDB database and then use TiDB Lightning to import the data into another TiDB database. For more information about backup and restore, see TiDB Backup & Restore Overview.


Resource requirements

Operating system: The example in this document uses fresh CentOS 7 instances. You can deploy a virtual machine either on your local host or in the cloud. Because TiDB Lightning consumes as much CPU resources as needed by default, it is recommended that you deploy it on a dedicated server. If this is not possible, you can deploy it on a single server together with other TiDB components (for example, tikv-server) and then configure region-concurrency to limit the CPU usage from TiDB Lightning. Usually, you can configure the size to 75% of the logical CPU.

Memory and CPU: Because TiDB Lightning consumes high resources, it is recommended to allocate more than 64 GiB of memory and more than 32 CPU cores. To get the best performance, make sure that the CPU core to memory (GiB) ratio is greater than 1:2.

Disk space:

It is recommended to use Amazon S3, Google Cloud Storage (GCS), or Azure Blob Storage as the external storage. With such a cloud storage, you can store backup files quickly without being limited by the disk space.

If you need to save data of one backup task to the local disk, note the following limitations:

  • Dumpling requires a disk space that can store the whole data source (or to store all upstream tables to be exported). To calculate the required space, see Downstream storage space requirements.
  • During the import, TiDB Lightning needs temporary space to store the sorted key-value pairs. The disk space should be enough to hold the largest single table from the data source.

Note: It is difficult to calculate the exact data volume exported by Dumpling from MySQL, but you can estimate the data volume by using the following SQL statement to summarize the data-length field in the information_schema.tables table:

/* Calculate the size of all schemas, in MiB. Replace ${schema_name} with your schema name. */
SELECT table_schema,SUM(data_length)/1024/1024 AS data_length,SUM(index_length)/1024/1024 AS index_length,SUM(data_length+index_length)/1024/1024 AS SUM FROM information_schema.tables WHERE table_schema = "${schema_name}" GROUP BY table_schema;

/* Calculate the size of the largest table, in MiB. Replace ${schema_name} with your schema name. */
SELECT table_name,table_schema,SUM(data_length)/1024/1024 AS data_length,SUM(index_length)/1024/1024 AS index_length,SUM(data_length+index_length)/1024/1024 AS SUM from information_schema.tables WHERE table_schema = "${schema_name}" GROUP BY table_name,table_schema ORDER BY SUM DESC LIMIT 5;

Disk space for the target TiKV cluster

The target TiKV cluster must have enough disk space to store the imported data. In addition to the standard hardware requirements, the storage space of the target TiKV cluster must be larger than the size of the data source x the number of replicas x 2. For example, if the cluster uses 3 replicas by default, the target TiKV cluster must have a storage space larger than 6 times the size of the data source. The formula has x 2 because:

  • Index might take extra space.
  • RocksDB has a space amplification effect.

Use Dumpling to back up full data

  1. Run the following command to export full data from TiDB to s3://my-bucket/sql-backup in Amazon S3:

    tiup dumpling -h ${ip} -P 3306 -u root -t 16 -r 200000 -F 256MiB -B my_db1 -f 'my_db1.table[12]' -o 's3://my-bucket/sql-backup'

    Dumpling exports data in SQL files by default. You can specify a different file format by adding the --filetype option.

    For more configurations of Dumpling, see Option list of Dumpling.

  2. After the export is completed, you can view the backup files in the directory s3://my-bucket/sql-backup.

Use TiDB Lightning to restore full data

  1. Edit the tidb-lightning.toml file to import full data backed up using Dumpling from s3://my-bucket/sql-backup to the target TiDB cluster:

    # log
    level = "info"
    file = "tidb-lightning.log"
    # "local": Default backend. The local backend is recommended to import large volumes of data (1 TiB or more). During the import, the target TiDB cluster cannot provide any service.
    # "tidb": The "tidb" backend is recommended to import data less than 1 TiB. During the import, the target TiDB cluster can provide service normally. For more information on the backends, refer to
    backend = "local"
    # Sets the temporary storage directory for the sorted Key-Value files. The directory must be empty, and the storage space must be greater than the size of the dataset to be imported. For better import performance, it is recommended to use a directory different from `data-source-dir` and use flash storage, which can use I/O exclusively.
    sorted-kv-dir = "${sorted-kv-dir}"
    # The data source directory. The same directory where Dumpling exports data in "Use Dumpling to back up full data".
    data-source-dir = "${data-path}" #  A local path or S3 path. For example, 's3://my-bucket/sql-backup'
    # The target TiDB cluster information.
    host = ${host}                # e.g.:
    port = ${port}                # e.g.: 4000
    user = "${user_name}"         # e.g.: "root"
    password = "${password}"      # e.g.: "rootroot"
    status-port = ${status-port}  # During the import, TiDB Lightning needs to obtain the table schema information from the TiDB status port. e.g.: 10080
    pd-addr = "${ip}:${port}"     # The address of the PD cluster, e.g.: TiDB Lightning obtains some information from PD. When backend = "local", you must specify status-port and pd-addr correctly. Otherwise, the import will be abnormal.

    For more information on TiDB Lightning configuration, refer to TiDB Lightning Configuration.

  2. Start the import by running tidb-lightning. If you launch the program directly in the command line, the process might exit unexpectedly after receiving a SIGHUP signal. In this case, it is recommended to run the program using a nohup or screen tool. For example:

    If you import data from S3, pass the SecretKey and AccessKey that have access to the S3 storage path as environment variables to the TiDB Lightning node. You can also read the credentials from ~/.aws/credentials.

    export AWS_ACCESS_KEY_ID=${access_key}
    export AWS_SECRET_ACCESS_KEY=${secret_key}
    nohup tiup tidb-lightning -config tidb-lightning.toml > nohup.out 2>&1 &
  3. After the import starts, you can grep the keyword progress in the log to check the progress of the import. The progress is updated every 5 minutes by default.

  4. After TiDB Lightning completes the import, it exits automatically. Check whether tidb-lightning.log contains the whole procedure completed in the last lines. If yes, the import is successful. If no, the import encounters an error. Address the error as instructed in the error message.

If the import fails, refer to TiDB Lightning FAQ for troubleshooting.

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