IMPORT INTO

The IMPORT INTO statement is used to import data in formats such as CSV, SQL, and PARQUET into an empty table in TiDB via the Physical Import Mode of TiDB Lightning.

IMPORT INTO supports importing data from files stored in Amazon S3, GCS, and the TiDB local storage.

• For data files stored in Amazon S3 or GCS, IMPORT INTO supports running in the TiDB backend task distributed execution framework.

  • When this framework is enabled (tidb_enable_dist_task is ON), IMPORT INTO splits a data import job into multiple sub-jobs and distributes these sub-jobs to different TiDB nodes for execution to improve the import efficiency.
  • When this framework is disabled, IMPORT INTO only supports running on the TiDB node where the current user is connected.

• For data files stored locally in TiDB, IMPORT INTO only supports running on the TiDB node where the current user is connected. Therefore, the data files need to be placed on the TiDB node where the current user is connected. If you access TiDB through a proxy or load balancer, you cannot import data files stored locally in TiDB.

Known issue

After starting a data import job, TiDB sorts the data to be imported locally. During the sorting, in the case that the disk space used by TiDB exceeds the specified value of DISK_QUOTA or reaches 80% of the local disk space and TiDB has already started writing data to TiKV, if you cancel the import job or the import job fails, the background import thread will continue running for a while before exiting completely. For more information, see #45048.

Restrictions

• Currently, IMPORT INTO only supports importing data within 1 TiB.
• IMPORT INTO only supports importing data into existing empty tables in the database.
• IMPORT INTO does not support transactions or rollback. Executing IMPORT INTO within an explicit transaction (BEGIN/END) will return an error.
• The execution of IMPORT INTO blocks the current connection until the import is completed. To execute the statement asynchronously, you can add the DETACHED option.
• IMPORT INTO does not support working simultaneously with features such as Backup & Restore, FLASHBACK CLUSTER TO TIMESTAMP, acceleration of adding indexes, data import using TiDB Lightning, data replication using TiCDC, or Point-in-Time Recovery (PITR).
• Only one IMPORT INTO job can run on a cluster at a time. Although IMPORT INTO performs a precheck for running jobs, it is not a hard limit. Starting multiple import jobs might work when multiple clients execute IMPORT INTO simultaneously, but you need to avoid that because it might result in data inconsistency or import failures.
• During the data import process, do not perform DDL or DML operations on the target table, and do not execute FLASHBACK DATABASE for the target database. These operations can lead to import failures or data inconsistencies. In addition, it is NOT recommended to perform read operations during the import process, as the data being read might be inconsistent. Perform read and write operations only after the import is completed.
• The import process consumes system resources significantly. To get better performance, it is recommended to use TiDB nodes with at least 32 cores and 64 GiB of memory. TiDB writes sorted data to the TiDB temporary directory during import, so it is recommended to configure high-performance storage media such as flash memory. For more information, see Physical Import Mode limitations.
• The TiDB temporary directory is expected to have at least 90 GiB of available space. It is recommended to allocate storage space that is equal to or greater than the volume of data to be imported.
• One import job supports importing data into one target table only. To import data into multiple target tables, after the import for a target table is completed, you need to create a new job for the next target table.

Prerequisites for import

Before using IMPORT INTO to import data, make sure the following requirements are met:

• The target table to be imported is already created in TiDB and it is empty.
• The target cluster has sufficient space to store the data to be imported.
• The temporary directory of the TiDB node connected to the current session has at least 90 GiB of available space. If tidb_enable_dist_task is enabled, also make sure that the temporary directory of each TiDB node in the cluster has sufficient disk space.

Required privileges

Executing IMPORT INTO requires the SELECT, UPDATE, INSERT, DELETE, and ALTER privileges on the target table. To import files in TiDB local storage, the FILE privilege is also required.

Synopsis

ImportIntoStmt ::=
    'IMPORT' 'INTO' TableName ColumnNameOrUserVarList? SetClause? FROM fileLocation Format? WithOptions?

ColumnNameOrUserVarList ::=
    '(' ColumnNameOrUserVar (',' ColumnNameOrUserVar)* ')'

SetClause ::=
    'SET' SetItem (',' SetItem)*

SetItem ::=
    ColumnName '=' Expr

Format ::=
    'CSV' | 'SQL' | 'PARQUET'

WithOptions ::=
    'WITH' OptionItem (',' OptionItem)*

OptionItem ::=
    optionName '=' optionVal | optionName

Parameter description

ColumnNameOrUserVarList

It specifies how each field in the data file corresponds to the columns in the target table. You can also use it to map fields to variables to skip certain fields for the import, or use it in SetClause.

• If this parameter is not specified, the number of fields in each row of the data file must match the number of columns in the target table, and the fields will be imported to the corresponding columns in order.
• If this parameter is specified, the number of specified columns or variables must match the number of fields in each row of the data file.

SetClause

It specifies how the values of target columns are calculated. In the right side of the SET expression, you can reference the variables specified in ColumnNameOrUserVarList.

In the left side of the SET expression, you can only reference a column name that is not included in ColumnNameOrUserVarList. If the target column name already exists in ColumnNameOrUserVarList, the SET expression is invalid.

fileLocation

It specifies the storage location of the data file, which can be an Amazon S3 or GCS URI path, or a TiDB local file path.

• Amazon S3 or GCS URI path: for URI configuration details, see External storage.
• TiDB local file path: it must be an absolute path, and the file extension must be .csv, .sql, or .parquet. Make sure that the files corresponding to this path are stored on the TiDB node connected by the current user, and the user has the FILE privilege.

In the fileLocation parameter, you can specify a single file or use the * wildcard to match multiple files for import. Note that the wildcard can only be used in the file name, because it does not match directories or recursively match files in subdirectories. Taking files stored on Amazon S3 as examples, you can configure the parameter as follows:

• Import a single file: s3://<bucket-name>/path/to/data/foo.csv
• Import all files in a specified path: s3://<bucket-name>/path/to/data/*
• Import all files with the .csv suffix in a specified path: s3://<bucket-name>/path/to/data/*.csv
• Import all files with the foo prefix in a specified path: s3://<bucket-name>/path/to/data/foo*
• Import all files with the foo prefix and the .csv suffix in a specified path: s3://<bucket-name>/path/to/data/foo*.csv

Format

The IMPORT INTO statement supports three data file formats: CSV, SQL, and PARQUET. If not specified, the default format is CSV.

WithOptions

You can use WithOptions to specify import options and control the data import process. For example, to execute the import asynchronously in the backend, you can enable the DETACHED mode for the import by adding the WITH DETACHED option to the IMPORT INTO statement.

The supported options are described as follows:

Output

When IMPORT INTO completes the import or when the DETACHED mode is enabled, IMPORT INTO will return the current job information in the output, as shown in the following examples. For the description of each field, see SHOW IMPORT JOB(s).

When IMPORT INTO completes the import, the example output is as follows:

IMPORT INTO t FROM '/path/to/small.csv';
+--------+--------------------+--------------+----------+-------+----------+------------------+---------------+----------------+----------------------------+----------------------------+----------------------------+------------+
| Job_ID | Data_Source        | Target_Table | Table_ID | Phase | Status   | Source_File_Size | Imported_Rows | Result_Message | Create_Time                | Start_Time                 | End_Time                   | Created_By |
+--------+--------------------+--------------+----------+-------+----------+------------------+---------------+----------------+----------------------------+----------------------------+----------------------------+------------+
|  60002 | /path/to/small.csv | `test`.`t`   |      363 |       | finished | 16B              |             2 |                | 2023-06-08 16:01:22.095698 | 2023-06-08 16:01:22.394418 | 2023-06-08 16:01:26.531821 | root@%     |
+--------+--------------------+--------------+----------+-------+----------+------------------+---------------+----------------+----------------------------+----------------------------+----------------------------+------------+

When the DETACHED mode is enabled, executing the IMPORT INTO statement will immediately return the job information in the output. From the output, you can see that the status of the job is pending, which means waiting for execution.

IMPORT INTO t FROM '/path/to/small.csv' WITH DETACHED;
+--------+--------------------+--------------+----------+-------+---------+------------------+---------------+----------------+----------------------------+------------+----------+------------+
| Job_ID | Data_Source        | Target_Table | Table_ID | Phase | Status  | Source_File_Size | Imported_Rows | Result_Message | Create_Time                | Start_Time | End_Time | Created_By |
+--------+--------------------+--------------+----------+-------+---------+------------------+---------------+----------------+----------------------------+------------+----------+------------+
|  60001 | /path/to/small.csv | `test`.`t`   |      361 |       | pending | 16B              |          NULL |                | 2023-06-08 15:59:37.047703 | NULL       | NULL     | root@%     |
+--------+--------------------+--------------+----------+-------+---------+------------------+---------------+----------------+----------------------------+------------+----------+------------+

View and manage import jobs

For an import job with the DETACHED mode enabled, you can use SHOW IMPORT to view its current job progress.

After an import job is started, you can cancel it using CANCEL IMPORT JOB <job-id>.

Examples

Import a CSV file with headers

IMPORT INTO t FROM '/path/to/file.csv' WITH skip_rows=1;

Import a file asynchronously in the DETACHED mode

IMPORT INTO t FROM '/path/to/file.csv' WITH DETACHED;

Skip importing a specific field in your data file

Assume that your data file is in the CSV format and its content is as follows:

id,name,age
1,Tom,23
2,Jack,44

And assume that the target table schema for the import is CREATE TABLE t(id int primary key, name varchar(100)). To skip importing the age field in the data file to the table t, you can execute the following SQL statement:

IMPORT INTO t(id, name, @1) FROM '/path/to/file.csv' WITH skip_rows=1;

Import multiple data files using the wildcard *

Assume that there are three files named file-01.csv, file-02.csv, and file-03.csv in the /path/to/ directory. To import these three files into a target table t using IMPORT INTO, you can execute the following SQL statement:

IMPORT INTO t FROM '/path/to/file-*.csv'

Import data files from Amazon S3 or GCS

• Import data files from Amazon S3:

  IMPORT INTO t FROM 's3://bucket-name/test.csv?access-key=XXX&secret-access-key=XXX';
  

• Import data files from GCS:

  IMPORT INTO t FROM 'gs://bucket-name/test.csv';
  

For details about the URI path configuration for Amazon S3 or GCS, see External storage.

Calculate column values using SetClause

Assume that your data file is in the CSV format and its content is as follows:

id,name,val
1,phone,230
2,book,440

And assume that the target table schema for the import is CREATE TABLE t(id int primary key, name varchar(100), val int). If you want to multiply the val column values by 100 during the import, you can execute the following SQL statement:

IMPORT INTO t(id, name, @1) SET val=@1*100 FROM '/path/to/file.csv' WITH skip_rows=1;

Import a data file in the SQL format

IMPORT INTO t FROM '/path/to/file.sql' FORMAT 'sql';

Limit the write speed to TiKV

To limit the write speed to a TiKV node to 10 MiB/s, execute the following SQL statement:

IMPORT INTO t FROM 's3://bucket/path/to/file.parquet?access-key=XXX&secret-access-key=XXX' FORMAT 'parquet' WITH MAX_WRITE_SPEED='10MiB';

MySQL compatibility

This statement is a TiDB extension to MySQL syntax.

See also

• SHOW IMPORT JOB(s)
• CANCEL IMPORT JOB