[experimental] MaterializedMySQL
This is an experimental feature that should not be used in production.
Creates ClickHouse database with all the tables existing in MySQL, and all the data in those tables.
ClickHouse server works as MySQL replica. It reads binlog and performs DDL and DML queries.
Engine Parameters
- — MySQL server endpoint.
database
— MySQL database name.user
— MySQL user.password
— User password.
Engine Settings
max_rows_in_buffer
— Maximum number of rows that data is allowed to cache in memory (for single table and the cache data unable to query). When this number is exceeded, the data will be materialized. Default:65 505
.max_bytes_in_buffer
— Maximum number of bytes that data is allowed to cache in memory (for single table and the cache data unable to query). When this number is exceeded, the data will be materialized. Default:1 048 576
.max_rows_in_buffers
— Maximum number of rows that data is allowed to cache in memory (for database and the cache data unable to query). When this number is exceeded, the data will be materialized. Default:65 505
.max_bytes_in_buffers
— Maximum number of bytes that data is allowed to cache in memory (for database and the cache data unable to query). When this number is exceeded, the data will be materialized. Default:1 048 576
.max_flush_data_time
— Maximum number of milliseconds that data is allowed to cache in memory (for database and the cache data unable to query). When this time is exceeded, the data will be materialized. Default:1000
.allows_query_when_mysql_lost
— Allows to query a materialized table when MySQL is lost. Default:0
(false
).
CREATE DATABASE mysql ENGINE = MaterializedMySQL('localhost:3306', 'db', 'user', '***')
SETTINGS
allows_query_when_mysql_lost=true,
max_wait_time_when_mysql_unavailable=10000;
Settings on MySQL-server Side
For the correct work of MaterializedMySQL
, there are few mandatory MySQL
-side configuration settings that must be set:
default_authentication_plugin = mysql_native_password
sinceMaterializedMySQL
can only authorize with this method.gtid_mode = on
since GTID based logging is a mandatory for providing correctMaterializedMySQL
replication.
Attention
While turning on gtid_mode
you should also specify .
When working with the MaterializedMySQL
database engine, ReplacingMergeTree tables are used with virtual _sign
and _version
columns.
_version
— Transaction counter. Type ._sign
— Deletion mark. Type Int8. Possible values:1
— Row is not deleted,-1
— Row is deleted.
Other types are not supported. If MySQL table contains a column of such type, ClickHouse throws exception “Unhandled data type” and stops replication.
Apart of the data types limitations there are few restrictions comparing to MySQL
databases, that should be resolved before replication will be possible:
Each table in
MySQL
should containPRIMARY KEY
.Replication for tables, those are containing rows with
ENUM
field values out of range (specified inENUM
signature) will not work.
MySQL DDL queries are converted into the corresponding ClickHouse DDL queries (, CREATE, , RENAME). If ClickHouse cannot parse some DDL query, the query is ignored.
MaterializedMySQL
does not support direct INSERT
, DELETE
and UPDATE
queries. However, they are supported in terms of data replication:
MySQL
INSERT
query is converted intoINSERT
with_sign=1
.MySQL
DELETE
query is converted intoINSERT
with_sign=-1
.MySQL
UPDATE
query is converted intoINSERT
with_sign=-1
andINSERT
with_sign=1
.
SELECT
query from MaterializedMySQL
tables has some specifics:
If
_sign
is not specified in theSELECT
query,WHERE _sign=1
is used by default. So the deleted rows are not included into the result set.The result includes columns comments in case they exist in MySQL database tables.
MySQL PRIMARY KEY
and INDEX
clauses are converted into ORDER BY
tuples in ClickHouse tables.
ClickHouse has only one physical order, which is determined by ORDER BY
clause. To create a new physical order, use .
Notes
- Cascade
UPDATE/DELETE
queries are not supported by theMaterializedMySQL
engine. - Replication can be easily broken.
- Manual operations on database and tables are forbidden.
MaterializedMySQL
is influenced by optimize_on_insert setting. The data is merged in the corresponding table in theMaterializedMySQL
database when a table in the MySQL server changes.
Queries in MySQL:
mysql> CREATE DATABASE db;
mysql> CREATE TABLE db.test (a INT PRIMARY KEY, b INT);
mysql> INSERT INTO db.test VALUES (1, 11), (2, 22);
mysql> DELETE FROM db.test WHERE a=1;
mysql> ALTER TABLE db.test ADD COLUMN c VARCHAR(16);
mysql> UPDATE db.test SET c='Wow!', b=222;
mysql> SELECT * FROM test;
Database in ClickHouse, exchanging data with the MySQL server:
The database and the table created:
CREATE DATABASE mysql ENGINE = MaterializedMySQL('localhost:3306', 'db', 'user', '***');
SHOW TABLES FROM mysql;
┌─name─┐
│ test │
└──────┘
After inserting data:
┌─a─┬──b─┐
│ 1 │ 11 │
│ 2 │ 22 │
After deleting data, adding the column and updating:
SELECT * FROM mysql.test;