Importing data

Enterprise Edition

This command is supported by the Enterprise Edition only.

$ tt [crud] import URI FILE SPACE [IMPORT_OPTION ...]
# or
$ tt [crud] import URI - SPACE < FILE [IMPORT_OPTION ...]

tt [crud] import imports data from a file to a space. The crud command is optional and can be used to import data to a cluster by using the CRUD module. Without crud, data is imported using the box.space API.

This command takes the following arguments:

URI: The URI of a router instance if crud is used. Otherwise, it should specify the URI of a storage.
FILE: The name of a file containing data to be imported.
SPACE: The name of a space to which data is imported.

Примечание

Write access to the space and execute access to universe are required to import data.

Limitations

Importing isn’t supported for the interval field type.

Matching of input and space fields

Automatic matching

Suppose that you have the customers.csv file with a header containing field names in the first row:

id,firstname,lastname,age
1,Andrew,Fuller,38
2,Michael,Suyama,46
3,Robert,King,33
# ...

If the target customers space has fields with the same names, you can import data using the --header and --match options specified as follows:

$ tt crud import localhost:3301 customers.csv customers \
                 --header \
                 --match=header

In this case, fields in the input file and the target space are matched automatically. You can also match fields manually if field names in the input file and the target space differ. Note that if you’re importing data into a cluster, you don’t need to specify the bucket_id field. The CRUD module generates bucket_id values automatically.

Manual matching

The --match option enables importing data by matching field names in the input file and the target space manually. Suppose that you have the following customers.csv file with four fields:

customer_id,name,surname,customer_age
1,Andrew,Fuller,38
2,Michael,Suyama,46
3,Robert,King,33
# ...

If the target customers space has the id, firstname, lastname, and age fields, you can configure mapping as follows:

$ tt crud import localhost:3301 customers.csv customers \
                 --header \
                 --match "id=customer_id;firstname=name;lastname=surname;age=customer_age"

Similarly, you can configure mapping using numeric field positions in the input file:

$ tt crud import localhost:3301 customers.csv customers \
                 --header \
                 --match "id=1;firstname=2;lastname=3;age=4"

Below are the rules if some fields are missing in input data or space:

If a space has fields that are not specified in input data, tt [crud] import tries to insert null values.
If input data contains fields missing in a target space, these fields are ignored.

Handling duplicate primary key errors

The --on-exist option enables you to control data import when a duplicate primary key error occurs. In the example below, values already existing in the space are replaced with new ones:

$ tt crud import localhost:3301 customers.csv customers \
                 --on-exist replace

Handling parsing errors

To skip rows whose data cannot be parsed correctly, use the --on-error option as follows:

$ tt crud import localhost:3301 customers.csv customers \
                 --on-error skip

Options

--dec-sep STRING¶: The string of symbols that defines decimal separators for numeric data (the default is .,).

Примечание

Symbols specified in this option cannot intersect with --th-sep.

--delimiter STRING¶

A symbol that defines a field value delimiter. For CSV, the default delimiter is a comma (,). To use a tab character as a delimiter, set this value as tab:

$ tt crud import localhost:3301 customers.csv customers \
                 --delimiter tab

Примечание

A delimiter cannot be \r, \n, or the Unicode replacement character (U+FFFD).

--error STRING¶

The name of a file containing rows that are not imported (the default is error).

Версия:

Importing data

Limitations

Matching of input and space fields

Automatic matching

Manual matching

Handling duplicate primary key errors

Handling parsing errors

Options