CREATE SOURCE: MySQL (Legacy syntax)

Creates a new source from MySQL. Materialize supports creating sources from MySQL (8.0.1+).

To connect to a MySQL database, you first need to update its configuration to enable GTID-based binary log (binlog) replication, and then create a connection in Materialize that specifies access and authentication parameters.

Syntax

CREATE SOURCE [IF NOT EXISTS] <src_name>
[IN CLUSTER <cluster_name>]
FROM MYSQL CONNECTION <connection_name> [
  (
    [TEXT COLUMNS ( <col1> [, ...] ) ]
    [, EXCLUDE COLUMNS ( <col1> [, ...] ) ]
  )
]
<FOR ALL TABLES | FOR SCHEMAS ( <schema1> [, ...] ) | FOR TABLES ( <table1> [AS <subsrc_name>] [, ...] )>
[EXPOSE PROGRESS AS <progress_subsource_name>]
[WITH ( <with_option> [, ...] )]

CONNECTION options

Features

Change data capture

The source uses MySQL’s binlog replication protocol to continually ingest changes resulting from INSERT, UPDATE and DELETE operations in the upstream database. This process is known as change data capture.

The replication method used is based on global transaction identifiers (GTIDs), and guarantees transactional consistency — any operation inside a MySQL transaction is assigned the same timestamp in Materialize, which means that the source will never show partial results based on partially replicated transactions.

Before creating a source in Materialize, you must configure the upstream MySQL database for GTID-based binlog replication. Ensure the upstream MySQL database has been configured for GTID-based binlog replication:

If you’re running MySQL using a managed service, additional configuration changes might be required. For step-by-step instructions on enabling GTID-based binlog replication for your MySQL service, see the integration guides.

Binlog retention

By default, MySQL retains binlog files for 30 days (i.e., 2592000 seconds) before automatically removing them. This is configurable via the binlog_expire_logs_seconds system variable. We recommend using the default value for this configuration in order to not compromise Materialize’s ability to resume replication in case of failures or restarts.

In some MySQL managed services, binlog expiration can be overriden by a service-specific configuration parameter. It’s important that you double-check if such a configuration exists, and ensure it’s set to the maximum interval available.

As an example, Amazon RDS for MySQL has its own configuration parameter for binlog retention (binlog retention hours) that overrides binlog_expire_logs_seconds and is set to NULL by default.

Creating a source

Materialize ingests the raw replication stream data for all (or a specific set of) tables in your upstream MySQL database.

CREATE SOURCE mz_source
  FROM MYSQL CONNECTION mysql_connection
  FOR ALL TABLES;

When you define a source, Materialize will automatically:

1. Create a subsource for each original table upstream, and perform an initial, snapshot-based sync of the tables before it starts ingesting change events.

   SHOW SOURCES;
   

            name         |   type    |  cluster  |
   ----------------------+-----------+------------
    mz_source            | mysql     |
    mz_source_progress   | progress  |
    table_1              | subsource |
    table_2              | subsource |
   

2. Incrementally update any materialized or indexed views that depend on the source as change events stream in, as a result of INSERT, UPDATE and DELETE operations in the upstream MySQL database.

MySQL schemas

CREATE SOURCE will attempt to create each upstream table in the same schema as the source. This may lead to naming collisions if, for example, you are replicating schema1.table_1 and schema2.table_1. Use the FOR TABLES clause to provide aliases for each upstream table, in such cases, or to specify an alternative destination schema in Materialize.

CREATE SOURCE mz_source
  FROM MYSQL CONNECTION mysql_connection
  FOR TABLES (schema1.table_1 AS s1_table_1, schema2.table_1 AS s2_table_1);

Monitoring source progress

By default, MySQL sources expose progress metadata as a subsource that you can use to monitor source ingestion progress. The name of the progress subsource can be specified when creating a source using the EXPOSE PROGRESS AS clause; otherwise, it will be named <src_name>_progress.

The following metadata is available for each source as a progress subsource:

And can be queried using:

SELECT transaction_id
FROM <src_name>_progress;

Progress metadata is represented as a GTID set of future possible GTIDs, which is similar to the gtid_executed system variable on a MySQL replica. The reported transaction_id should increase as Materialize consumes new binlog records from the upstream MySQL database. For more details on monitoring source ingestion progress and debugging related issues, see Troubleshooting.

Known limitations

Supported types

Materialize natively supports the following MySQL types:

• bigint
• binary
• bit
• blob
• boolean
• char
• date
• datetime
• decimal
• double
• float
• int
• json
• longblob
• longtext
• mediumblob
• mediumint
• mediumtext
• numeric
• real
• smallint
• text
• time
• timestamp
• tinyblob
• tinyint
• tinytext
• varbinary
• varchar

When replicating tables that contain the unsupported data types, you can:

• Use TEXT COLUMNS option for the following unsupported MySQL types:

  • enum
  • year

  The specified columns will be treated as text and will not offer the expected MySQL type features.

• Use the EXCLUDE COLUMNS option to exclude any columns that contain unsupported data types.

Zero values for date, datetime, and timestamp

MySQL allows the special “zero” values 0000-00-00, 0000-00-00 00:00:00 in date, datetime, and timestamp columns when the server sql_mode does not include NO_ZERO_DATE or NO_ZERO_IN_DATE. These values are not representable in Materialize’s corresponding native types, so they will cause ingestion to fail for the affected column.

To ingest columns that contain zero values, use TEXT COLUMNS to decode the affected columns as text. The zero values for date, datetime, timestamp, and year are preserved verbatim as strings (e.g. "0000-00-00 00:00:00", "0000").

Modifying an existing source

When you add a new subsource to an existing source (ALTER SOURCE ... ADD SUBSOURCE ...), Materialize starts the snapshotting process for the new subsource. During this snapshotting, the data ingestion for the existing subsources for the same source is temporarily blocked. As such, if possible, you can resize the cluster to speed up the snapshotting process and once the process finishes, resize the cluster for steady-state.

Handling upstream operations

This section describes how changes to upstream tables that Materialize ingests affect the corresponding Materialize tables.

Adding a column

When you add a new column to your upstream table, Materialize continues to ingest only the existing columns.

To incorporate the new column:

• If using the new CREATE SOURCE and CREATE TABLE FROM SOURCE syntax, create a new table from the source. See Handle upstream column addition.

• If using the legacy CREATE SOURCE ... FOR ... syntax that creates subsources, use DROP SOURCE to drop the affected subsource, and then add the table back to the source using ALTER SOURCE ... ADD SUBSOURCE. The re-added subsource includes the new column.

Dropping a column

Dropping columns that Materialize does not ingest (for example, columns added after the source was created, or columns that are excluded) is supported. As these columns were never ingested, you can drop them without issue.

If your Materialize source ingests a column, dropping that column from your upstream table puts the affected table into an error state.

• If using the new CREATE SOURCE and CREATE TABLE FROM SOURCE syntax, you can safely drop a column by first ignoring it in Materialize. See Handle upstream column drop.

• If using legacy CREATE SOURCE ... FOR ... syntax, use DROP SOURCE to drop the affected subsource, and then add the table back to the source using ALTER SOURCE ... ADD SUBSOURCE.

Changing constraints

Materialize ignores the following constraint changes: foreign key and CHECK. As such, you can add or drop them without affecting ingestion.

Materialize also ignores NOT NULL, UNIQUE, and PRIMARY KEY constraints that are added after the Materialize table is created (that is, the table was created without them). Adding such a constraint, and later dropping it, does not affect ingestion.

Dropping a NOT NULL, UNIQUE, or PRIMARY KEY constraint that existed when the table was created puts the affected table into an error state.

Changing a column’s data type

Changing an ingested column’s data type upstream so that it maps to a different Materialize type than before puts the affected Materialize table into an error state. Ingestion for that table stops, and you must drop and recreate the table in Materialize to resume ingestion.

Changing an ingested column’s upstream data type so that it continues to map to the same Materialize type does not interrupt ingestion. For example, changing tinyint to smallint, changing within the text/tinytext/mediumtext/longtext family, and adjusting bit(n) precision are all safe.

Appending new values to the end of an existing enum does not put the table into an error state. However, the newly-added values are not recognized, so rows that use them fail to decode until you drop and recreate the table. Existing enum values remain recognized, and rows that use them continue to decode successfully.

Any other enum change puts the affected Materialize table into an error state, including inserting a value before the end, reordering or renaming values, and removing values.

Renaming a column

Renaming a column that Materialize ingests puts the affected table into an error state. Ingestion for that table stops, and you must drop and recreate the table in Materialize to resume ingestion.

Table-level operations

The following upstream operations put the affected table into an error state. Ingestion for that table stops, and you must drop and recreate the affected table in Materialize to resume:

• Dropping a table (DROP TABLE).
• Renaming a table or moving it to a different schema.
• Truncating a table (TRUNCATE). To clear a table without putting it into an error state, use an unqualified DELETE FROM t; instead.

Examples

Creating a connection

A connection describes how to connect and authenticate to an external system you want Materialize to read data from.

Once created, a connection is reusable across multiple CREATE SOURCE statements. For more details on creating connections, check the CREATE CONNECTION documentation page.

CREATE SECRET mysqlpass AS '<MYSQL_PASSWORD>';

CREATE CONNECTION mysql_connection TO MYSQL (
    HOST 'instance.foo000.us-west-1.rds.amazonaws.com',
    PORT 3306,
    USER 'materialize',
    PASSWORD SECRET mysqlpass
);

If your MySQL server is not exposed to the public internet, you can tunnel the connection through an AWS PrivateLink service (Materialize Cloud) or an SSH bastion host SSH bastion host.

CREATE CONNECTION privatelink_svc TO AWS PRIVATELINK (
   SERVICE NAME 'com.amazonaws.vpce.us-east-1.vpce-svc-0e123abc123198abc',
   AVAILABILITY ZONES ('use1-az1', 'use1-az4')
);

CREATE CONNECTION mysql_connection TO MYSQL (
    HOST 'instance.foo000.us-west-1.rds.amazonaws.com',
    PORT 3306,
    USER 'root',
    PASSWORD SECRET mysqlpass,
    AWS PRIVATELINK privatelink_svc
);

CREATE CONNECTION ssh_connection TO SSH TUNNEL (
    HOST 'bastion-host',
    PORT 22,
    USER 'materialize'
);

CREATE CONNECTION mysql_connection TO MYSQL (
    HOST 'instance.foo000.us-west-1.rds.amazonaws.com',
    SSH TUNNEL ssh_connection
);

Creating a source

Create subsources for all tables in MySQL

CREATE SOURCE mz_source
    FROM MYSQL CONNECTION mysql_connection
    FOR ALL TABLES;

Create subsources for all tables from specific schemas in MySQL

CREATE SOURCE mz_source
  FROM MYSQL CONNECTION mysql_connection
  FOR SCHEMAS (mydb, project);

Create subsources for specific tables in MySQL

CREATE SOURCE mz_source
  FROM MYSQL CONNECTION mysql_connection
  FOR TABLES (mydb.table_1, mydb.table_2 AS alias_table_2);

Handling unsupported types

If you’re replicating tables that use data types unsupported by Materialize, use the TEXT COLUMNS option to decode data as text for the affected columns. TEXT COLUMNS should also be used for columns that contain MySQL zero-value DATE, DATETIME, or TIMESTAMP data.

This option expects the upstream fully-qualified names of the replicated table and column (i.e. as defined in your MySQL database).

CREATE SOURCE mz_source
  FROM MYSQL CONNECTION mysql_connection (
    TEXT COLUMNS (mydb.table_1.column_of_unsupported_type)
  )
  FOR ALL TABLES;

Excluding columns

MySQL doesn’t provide a way to filter out columns from the replication stream. To exclude specific upstream columns from being ingested, use the EXCLUDE COLUMNS option.

CREATE SOURCE mz_source
  FROM MYSQL CONNECTION mysql_connection (
    EXCLUDE COLUMNS (mydb.table_1.column_to_ignore)
  )
  FOR ALL TABLES;

Handling errors and schema changes

To handle upstream schema changes or errored subsources, use the DROP SOURCE syntax to drop the affected subsource, and then ALTER SOURCE...ADD SUBSOURCE to add the subsource back to the source.

-- List all subsources in mz_source
SHOW SUBSOURCES ON mz_source;

-- Get rid of an outdated or errored subsource
DROP SOURCE table_1;

-- Start ingesting the table with the updated schema or fix
ALTER SOURCE mz_source ADD SUBSOURCE table_1;

Related pages

• CREATE SECRET
• CREATE CONNECTION
• CREATE SOURCE
• MySQL integration guides:
  • Amazon RDS
  • Amazon Aurora
  • Azure DB
  • Google Cloud SQL
  • Self-hosted