Importing Data from SQL Server to MariaDB
There are several ways to move data from SQL Server to MariaDB. There are also some caveats.
Moving Data Definition from SQL Server to MariaDB
To copy an SQL Server data structures to MariaDB, one has to:
- Generate a CSV file from SQL Server data.
- Modify the syntax so that it works in MariaDB.
- Run the file in MariaDB.
Variables That Affect DDL Statements
DDL statements are affected by some server system variables.
sql_mode determines the behavior of some SQL statements and expressions, including how strict error checking is, and some details regarding the syntax. Objects like stored procedures, stored functions triggers and views, are always executed with the sql_mode that was in effect during their creation.
sql_mode='MSSQL' can be used to have MariaDB behaving as close to SQL Server as possible.
innodb_strict_mode enables the so-called InnoDB strict mode. Normally some errors in the
CREATE TABLE options are ignored. When InnoDB strict mode is enabled, the creation of InnoDB tables will fail with an error when certain mistakes are made.
updatable_views_with_limit determines whether view updates can be made with an
DELETE statement with a
LIMIT clause if the view does not contain all primary or not null unique key columns from the underlying table.
Dumps and sys.sql_modules
SQL Server Management Studio allows to create a working SQL script to recreate a database - something that MariaDB users refer to as a dump. Several options allow to fine-tune the generated syntax. It could be necessary to adjust some of these options to make the output compatible with MariaDB. It is possible to export schema, data or both. One can create a single global file, or one file for each exported object. Normally, producing a single file is more practical.
sp_helptext() procedure returns information about how to recreate a certain object. Similar information is also present in the
sql_modules table (
definition column), in the
sys schema. Such information, however, is not a ready to use set of SQL statements.
Remember however that Mhttps:www.google.com/search?client=ubuntu&channel=fs&q=sql+server+export+csv&ie=utf-8&oe=utf-8ariaDB does not support schemas. An SQL Server schema is approximately a MariaDB database.
To execute a dump, we can pass the file to
mysql, the MariaDB command-line client.
Provided that a dump file contains syntax that is valid with MariaDB, it can be executed in this way:
mysql --show-warnings < dump.sql
--show-warnings tells MariaDB to output any warnings produced by the statements contained in the dump. Without this option, warnings will not appear on screen. Warnings don't stop the dump execution.
Errors will appear on screen. Errors will stop the dump execution, unless the
--force option (or just
-f) is specified.
mysql options, see mysql Command-line Client Options.
Another way to achieve the same purpose is to start the
mysql client in interactive mode first, and then run the
source command. For example:
root@d5a54a082d1b:/# mysql -uroot -psecret Welcome to the MariaDB monitor. Commands end with ; or \g. Your MariaDB connection id is 22 Server version: 10.4.7-MariaDB-1:10.4.7+maria~bionic mariadb.org binary distribution Copyright (c) 2000, 2018, Oracle, MariaDB Corporation Ab and others. Type 'help;' or '\h' for help. Type '\c' to clear the current input statement. MariaDB [(none)]> \W Show warnings enabled. MariaDB [(none)]> source dump.sql
In this case, to show warnings we used the
\W command, where "w" is uppercase. To hide warnings (which is the default), we can use
mysql commands, see mysql Commands.
If the table structures are already in MariaDB, we need to only import table data. While this can still be done as explained above, it may be more practical to export CSV files from SQL Server and import them into MariaDB.
SQL Server Management Studio and several other Microsoft tools allow to export CSV files.
MariaDB allows to import CSV files with the
LOAD DATA INFILE statements, which is essentially the MariaDB equivalent for
It can happen that we don't want to import the whole data, but some filtered or transformed version of it. In that case, we may prefer to use the
CONNECT storage engine to access CSV files and query them. The results of a query can be inserted into a table using