Configuration Reference for JDBC Sink Connector for Confluent Platform

To use this connector, specify the name of the connector class in the connector.class configuration property.

connector.class=io.confluent.connect.jdbc.JdbcSinkConnector

Connector-specific configuration properties are described below.

Database Connection Security

In the connector configuration you will notice there are no security parameters. This is because SSL is not part of the JDBC standard and will depend on the JDBC driver in use. In general, you must configure SSL using the connection.url parameter. For example, with MySQL it would look similar to the following:

connection.url="jdbc:mysql://127.0.0.1:3306/sample?verifyServerCertificate=false&useSSL=true&requireSSL=true"

Confluent recommends you view your JDBC driver documentation for support and configuration.

Connection

The JDBC connector allows you to configure any driver parameter using the prefix connection.*. For example:

  • For Postgres, you can use the following:

    "connection.loginTimeout": "10"

  • For Oracle, you can use the following:

    "connection.oracle.jdbc.ReadTimeout": "45000"

For more details, log in to the Confluent Support Portal and view How to set JDBC driver configuration using JDBC connector.

connection.attempts

The maximum number of attempts to get a valid JDBC connection. The value must be a positive integer.

  • Type: int
  • Default: 3
  • Importance: low
connection.backoff.ms

The backoff time in milliseconds between connection attempts.

  • Type: long
  • Default: 10000
  • Importance: low
connection.url

JDBC connection URL.

For example: jdbc:oracle:thin:@localhost:1521:orclpdb1, jdbc:mysql://localhost/db_name, jdbc:sqlserver://localhost;instance=SQLEXPRESS;databaseName=db_name

  • Type: string
  • Importance: high
connection.user

JDBC connection user.

  • Type: string
  • Default: null
  • Importance: high
connection.password

JDBC connection password.

  • Type: password
  • Default: null
  • Importance: high
dialect.name

The name of the database dialect that should be used for this connector. By default this is empty, and the connector automatically determines the dialect based upon the JDBC connection URL. Use this if you want to override that behavior and use a specific dialect. All properly-packaged dialects in the JDBC connector plugin can be used.

  • Type: string
  • Default: “”
  • Valid Values: [, Db2DatabaseDialect, MySqlDatabaseDialect, SybaseDatabaseDialect, GenericDatabaseDialect, OracleDatabaseDialect, SqlServerDatabaseDialect, PostgreSqlDatabaseDialect, SqliteDatabaseDialect, DerbyDatabaseDialect, SapHanaDatabaseDialect, MockDatabaseDialect, VerticaDatabaseDialect]
  • Importance: low

Writes

insert.mode

The insertion mode to use.

  • Type: string
  • Default: insert
  • Valid Values: [insert, upsert, update]
  • Importance: high

The supported modes are as follows:

  • insert

    Use standard SQL INSERT statements.

  • upsert

    Use the appropriate upsert semantics for the target database if it is supported by the connector–for example, INSERT OR IGNORE. When using upsert mode, you must add and define the pk.mode and pk.fields properties in the connector configuration. For example:

    {

     ...

     "pk.mode": "record_value",
     "pk.fields": "id"

     ...

 }

    In the previous example, pk.fields should contain your primary key.

  • update

    Use the appropriate update semantics for the target database if it is supported by the connector–for example, UPDATE.

batch.size

Specifies how many records to attempt to batch together for insertion into the destination table, when possible. Note that if you set consumer.max.poll.records in the Connect worker properties to a value lower than batch.size , batch processing will be lost and the desired batch.size won’t be reached. You can also configure the connector’s underlying consumer’s max.poll.records using consumer.override.max.poll.records in the connector configuration.

  • Type: int
  • Default: 3000
  • Valid Values: [0,…]
  • Importance: medium
delete.enabled

Whether to treat null record values as deletes. Requires pk.mode to be record_key.

  • Type: boolean
  • Default: false
  • Importance: medium

Data Mapping

table.name.format

A format string for the destination table name, which may contain ${topic} as a placeholder for the originating topic name.

For example, kafka_${topic} for the topic orders will map to the table name kafka_orders.

  • Type: string
  • Default: ${topic}
  • Importance: medium
pk.mode

The primary key mode, also refer to pk.fields documentation for interplay. Supported modes are:

none
No keys utilized.
kafka

Apache Kafka® coordinates are used as the primary key.

Important

With some JDBC dialects, for example the Oracle and MySQL dialects, an exception can occur if you set pk.mode to kafka and auto.create to true. The exception occurs because the connector maps STRING to a variable length string (for example TEXT) and not a fixed length string (for example VARCHAR(256)). A primary key must have a fixed length. To avoid this exception, consider the following:

  • Do not set auto.create to true.
  • Create the database table and primary key data type in advance.
record_key
Field(s) from the record key are used, which may be a primitive or a struct.
record_value
Field(s) from the record value are used, which must be a struct.
  • Type: string
  • Default: none
  • Valid Values: [none, kafka, record_key, record_value]
  • Importance: high
pk.fields

A list of comma-separated primary key field names. The runtime interpretation of this configuration property depends on pk.mode:

Important

If the pk.mode is set to record_value, every pk.fields value must exist in every topic when loading data from different topics into different tables –that is, if multiple topics have their own primary key. If not, you must create distinct connector configurations.

none
Ignored as no fields are used as primary key in this mode.
kafka
Must be a trio representing the Kafka coordinates, defaults to __connect_topic,__connect_partition,__connect_offset if empty. Custom field names that are set in this mode will rename the default column names, but keep the Kafka coordinates as the primary keys.
record_key
If empty, all fields from the key struct will be used, otherwise used to extract the desired fields - for primitive key only a single field name must be configured.
record_value
If empty, all fields from the value struct will be used, otherwise used to extract the desired fields.
  • Type: list
  • Default: none
  • Importance: medium
fields.whitelist

List of comma-separated record value field names. If empty, all fields from the record value are utilized, otherwise used to filter to the desired fields.

Note that pk.fields is applied independently in the context of which field(s) form the primary key columns in the destination database, while this configuration is applicable for the other columns.

  • Type: list
  • Default: “”
  • Importance: medium
db.timezone

Name of the JDBC timezone that should be used in the connector when inserting time-based values. Defaults to UTC.

  • Type: string
  • Default: “UTC”
  • Valid Values: Any valid JDK time zone
  • Importance: medium
date.timezone

Name of the JDBC timezone that should be used in the connector when inserting DATE type values. Defaults to DB_TIMEZONE that uses the timezone set for db.timzeone configuration (to maintain backward compatibility). It is recommended to set this to UTC to avoid conversion for DATE type values.

  • Type: string
  • Default: “DB_TIMEZONE”
  • Valid Values: [DB_TIMEZONE, UTC]
  • Importance: medium
table.types

A comma-separated list of database table types to which the sink connector can write. The default value is TABLE, but any of the following combinations is allowed: TableType.PARTITIONED_TABLE and TableType.VIEW. Not all databases support writing to views. If a database supports writing to views, the sink connector will fail if the view definition does not match the records’ schema, regardless of the value that is set in auto.evolve.

  • Type: list
  • Default: TABLE
  • Valid values: TABLE, PARTITIONED TABLE, or VIEW
  • Importance: low

DDL Support

auto.create

Whether to automatically create the destination table based on record schema if it is found to be missing by issuing CREATE.

  • Type: boolean
  • Default: false
  • Importance: medium

Important

  • Database performance could be adversely affected if Kafka Connect auto-creates a table and uses data types that are inefficient for the target database. Confluent recommends you review the data types used in conjunction with your database administrator, or pre-create the table before loading it.
  • With some JDBC dialects–for example, the Oracle and MySQL dialects–an exception can occur if you set pk.mode to kafka and auto.create to true. The exception occurs because the connector maps STRING to a variable length string (for example, TEXT) and not a fixed length string (for example, VARCHAR(256)). A primary key must have a fixed length. To avoid this exception, consider the following:
    • Do not set auto.create to true.
    • Create the database table and primary key data type in advance.
auto.evolve

Whether to automatically add columns in the table schema when found to be missing relative to the record schema by issuing ALTER.

  • Type: boolean
  • Default: false
  • Importance: medium
quote.sql.identifiers

When to quote table names, column names, and other identifiers in SQL statements. For backward compatibility, the default is always.

  • Type: string
  • Default: always
  • Importance: medium
mssql.use.merge.holdlock

Whether to use HOLDLOCK when performing a MERGE INTO upsert statement. Note that this configuration property is specific to Microsoft SQL Server only.

  • Type: boolean
  • Default: true
  • Importance: low

Retries

max.retries

The maximum number of times to retry on errors before failing the task.

  • Type: int
  • Default: 10
  • Valid Values: [0,…]
  • Importance: medium
retry.backoff.ms

The time in milliseconds to wait following an error before a retry attempt is made.

  • Type: int
  • Default: 3000
  • Valid Values: [0,…]
  • Importance: medium