Important

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JDBC Connector Source Connector Configuration Properties

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

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

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 will need to configure SSL via the connection.url parameter. For example, with MySQL it would look like:

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

Please check with your specific JDBC driver documentation on support and configuration.

Database

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
  • Dependents: table.whitelist, table.blacklist
connection.user

JDBC connection user.

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

JDBC connection password.

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

Maximum number of attempts to retrieve a valid JDBC connection. Must be a positive integer.

  • Type: int
  • Default: 3
  • Valid Values: [1,…]
  • Importance: low
connection.backoff.ms

Backoff time in milliseconds between connection attempts.

  • Type: long
  • Default: 10000
  • Importance: low
catalog.pattern

Catalog pattern to fetch table metadata from the database.

  • Type: string
  • Default: null
    • "" retrieves those without a catalog
    • null (default) indicates that the schema name is not used to narrow the search and that all table metadata is fetched, regardless of the catalog.
  • Importance: medium
table.whitelist

List of tables to include in copying. If specified, table.blacklist may not be set. Use a comma-separated list to specify multiple tables (for example, table.whitelist: "User, Address, Email").

  • Type: list
  • Default: “”
  • Importance: medium
table.blacklist

List of tables to exclude from copying. If specified, table.whitelist may not be set. Use a comma-separated list to specify multiple tables (for example, table.blacklist: "User, Address, Email").

  • Type: list
  • Default: “”
  • Importance: medium
schema.pattern

Schema pattern to fetch table metadata from the database.

  • Type: string

  • Default: null

    • "" retrieves those without a schema.
    • null (default) indicates that the schema name is not used to narrow the search and that all table metadata is fetched, regardless of the schema.

  • Importance: high

    Important

    If you leave this at the default null setting, the connector may time out and fail because of the large amount of table metadata being received. Make sure to set this parameter for large databases.

numeric.precision.mapping

Whether or not to attempt mapping NUMERIC values by precision to integral types. This option is now deprecated. A future version may remove it completely. Please use numeric.mapping instead.

  • Type: boolean
  • Default: false
  • Importance: low
numeric.mapping

Map NUMERIC values by precision and optionally scale to integral or decimal types.

  • Type: string
  • Default: null
  • Valid Values: [none, precision_only, best_fit]
    • Use none if all NUMERIC columns are to be represented by Connect’s DECIMAL logical type.
    • Use best_fit if NUMERIC columns should be cast to Connect’s INT8, INT16, INT32, INT64, or FLOAT64 based upon the column’s precision and scale. best_fit is often preferred since it maps to the most appropriate primitive type.
    • Use precision_only to map NUMERIC columns based only on the column’s precision assuming that column’s scale is 0.
    • The none option is the default, but may lead to serialization issues with Avro since Connect’s DECIMAL type is mapped to its binary representation. best_fit is often preferred since it maps to the most appropriate primitive type.
  • Importance: low
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

Mode

mode

The mode for updating a table each time it is polled. Options include:

  • Type: string
  • Default: “”
  • Valid Values: [, bulk, timestamp, incrementing, timestamp+incrementing]
    • bulk: perform a bulk load of the entire table each time it is polled
    • incrementing: use a strictly incrementing column on each table to detect only new rows. Note that this will not detect modifications or deletions of existing rows.
    • timestamp: use a timestamp (or timestamp-like) column to detect new and modified rows. This assumes the column is updated with each write, and that values are monotonically incrementing, but not necessarily unique.
    • timestamp+incrementing: use two columns, a timestamp column that detects new and modified rows and a strictly incrementing column which provides a globally unique ID for updates so each row can be assigned a unique stream offset.
  • Importance: high
  • Dependents: incrementing.column.name, timestamp.column.name, validate.non.null
incrementing.column.name

The name of the strictly incrementing column to use to detect new rows. Any empty value indicates the column should be autodetected by looking for an auto-incrementing column. This column may not be nullable.

  • Type: string
  • Default: “”
  • Importance: medium
timestamp.column.name

Comma-separated list of one or more timestamp columns to detect new or modified rows using the COALESCE SQL function. Rows whose first non-null timestamp value is greater than the largest previous timestamp value seen will be discovered with each poll. At least one column should not be nullable.

  • Type: string
  • Default: “”
  • Importance: medium
timestamp.initial

The epoch timestamp used for initial queries that use timestamp criteria. Use -1 to use the current time. If not specified, all data will be retrieved.

  • Type: long
  • Default: null
  • Importance: low
validate.non.null

By default, the JDBC connector will validate that all incrementing and timestamp tables have NOT NULL set for the columns being used as their ID/timestamp. If the tables don’t, JDBC connector will fail to start. Setting this to false will disable these checks.

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

If specified, the query to perform to select new or updated rows. Use this setting if you want to join tables, select subsets of columns in a table, or filter data. If used, this connector will only copy data using this query – whole-table copying will be disabled. Different query modes may still be used for incremental updates, but in order to properly construct the incremental query, it must be possible to append a WHERE clause to this query (i.e. no WHERE clauses may be used). If you use a WHERE clause, it must handle incremental queries itself.

  • Type: string
  • Default: “”
  • 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
query.suffix

Suffix to append at the end of the generated query.

  • Type: string
  • Default: “”
  • Importance: low

Connector

table.types

By default, the JDBC connector will only detect tables with type TABLE from the source Database. This config allows a command separated list of table types to extract.

  • Type: list.

    • TABLE
    • VIEW
    • SYSTEM TABLE
    • GLOBAL TEMPORARY
    • LOCAL TEMPORARY
    • ALIAS
    • SYNONYM

    In most cases it only makes sense to have either TABLE or VIEW.

  • Default: TABLE

  • Importance: low

poll.interval.ms

Frequency in ms to poll for new data in each table.

  • Type: int
  • Default: 5000
  • Importance: high
batch.max.rows

Maximum number of rows to include in a single batch when polling for new data. This setting can be used to limit the amount of data buffered internally in the connector.

  • Type: int
  • Default: 100
  • Importance: low
table.poll.interval.ms

Frequency in ms to poll for new or removed tables, which may result in updated task configurations to start polling for data in added tables or stop polling for data in removed tables.

  • Type: long
  • Default: 60000
  • Importance: low
topic.prefix

Prefix to prepend to table names to generate the name of the Apache Kafka® topic to publish data to, or in the case of a custom query, the full name of the topic to publish to.

  • Type: string
  • Importance: high
timestamp.delay.interval.ms

How long to wait after a row with certain timestamp appears before we include it in the result. You may choose to add some delay to allow transactions with earlier timestamp to complete. The first execution will fetch all available records (i.e. starting at timestamp 0) until current time minus the delay. Every following execution will get data from the last time we fetched until current time minus the delay.

  • Type: long
  • Default: 0
  • Importance: high
db.timezone

Name of the JDBC timezone used in the connector when querying with time-based criteria. Defaults to UTC.

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