Migrating from MySQL

Various ways exist to migrate your existing data from MySQL to CrateDB. However, these methods may differ in performance. A fast and reliable way to migrate is to use CrateDB’s existing export and import tools.

Table of contents

Setting up the example table

In this example, you have an existing table foo in MySQL with the following schema:

mysql> CREATE TABLE foo (
...       id integer primary key,
...       name varchar(255),
...       date datetime,
...       fruits set('apple', 'pear', 'banana')
...    ) CHARACTER SET utf8 COLLATE utf8_unicode_ci;

To import sample data into foo:

mysql> INSERT INTO foo (id, name, date, fruits)
...    VALUES (1, 'foo', '2014-10-31 09:22:56', 'apple,banana'),
...           (2, 'bar', null, 'pear');

Exporting data from MySQL

MySQL does not support JSON as an output format, but it is possible to write to a file using the csv format.


mysql> SELECT id, name
...    INTO OUTFILE '/tmp/dump.csv'
...      CHARACTER SET utf8
...    FROM foo;

Make sure fields are separated by a comma (,), that values are quoted with a pair of ", and that lines are terminated by the newline character \n.

Note that you specify utf8 as encoding for writing into the outfile. This is important because CrateDB requires utf8 encoding.

You may need to set the character encoding of the client and mysqld in the my.cnf:


All values written to csv are quoted and therefore interpreted as strings when read from the convert script later.

Converting date/time types

The standard output for date/time types in MySQL is a string. However, CrateDB uses a long type to store timestamps (with millisecond precision). To prevent problems with dates that have timezone information, use MySQL’s builtin UNIX_TIMESTAMP function to convert date, time, datetime, timestamp and year types into UNIX timestamps directly in the SELECT statement.

The output of this function must be multiplied by 1000 (converting s to ms) to obtain the correct long value that can be used for importing into CrateDB.

mysql> SELECT UNIX_TIMESTAMP(datetime_column)*1000 from table_name;

The final export query:

mysql> SELECT id, name, UNIX_TIMESTAMP(date)*1000, fruits
...    INTO OUTFILE '/tmp/dump.csv'
...      CHARACTER SET utf8
...    FROM foo;

Importing data into CrateDB

Use the COPY FROM statement to import your CSV file into CrateDB.

For more in-depth documentation on COPY FROM, see COPY FROM.

cr> COPY foo_imported FROM '/tmp/dump.csv' WITH (bulk_size=1000);

See also

Read Bulk inserts for more information how to import huge datasets into CrateDB.

Third-party tool: csvkit

The tools provided by csvkit allow you to directly insert CSV data into CrateDB via SQLAlchemy, using CrateDB’s native driver to create the table, guess the corresponding data types, and insert any data found in the CSV file.

For example:

sh$ csvsql --db crate://localhost:4200 --insert /tmp/dump.csv

See also

See also the documentation of csvsql. To use the SQLAlchemy driver of CrateDB, the latest version of the CrateDB Python package is required.


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