Docs Connect Components Outputs sql sql Type: OutputCacheProcessor Available in: Self-Managed Deprecated This component is deprecated and will be removed in the next major version release. Please consider moving onto alternative components. Executes an arbitrary SQL query for each message. Introduced in version 3.65.0. Common Advanced # Common configuration fields, showing default values output: label: "" sql: driver: "" # No default (required) data_source_name: "" # No default (required) query: INSERT INTO footable (foo, bar, baz) VALUES (?, ?, ?); # No default (required) args_mapping: root = [ this.cat.meow, this.doc.woofs[0] ] # No default (optional) max_in_flight: 64 batching: count: 0 byte_size: 0 period: "" check: "" # All configuration fields, showing default values output: label: "" sql: driver: "" # No default (required) data_source_name: "" # No default (required) query: INSERT INTO footable (foo, bar, baz) VALUES (?, ?, ?); # No default (required) args_mapping: root = [ this.cat.meow, this.doc.woofs[0] ] # No default (optional) max_in_flight: 64 batching: count: 0 byte_size: 0 period: "" check: "" processors: [] # No default (optional) Alternatives For basic inserts use the sql_insert output. For more complex queries use the sql_raw output. Fields args_mapping An optional Bloblang mapping which should evaluate to an array of values matching in size to the number of placeholder arguments in the field query. Type: string # Examples: args_mapping: root = [ this.cat.meow, this.doc.woofs[0] ] args_mapping: root = [ meta("user.id") ] batching Allows you to configure a batching policy. Type: object # Examples: batching: byte_size: 5000 count: 0 period: 1s batching: count: 10 period: 1s batching: check: this.contains("END BATCH") count: 0 period: 1m batching.byte_size An amount of bytes at which the batch should be flushed. If 0 disables size based batching. Type: int Default: 0 batching.check A Bloblang query that should return a boolean value indicating whether a message should end a batch. Type: string Default: "" # Examples: check: this.type == "end_of_transaction" batching.count A number of messages at which the batch should be flushed. If 0 disables count based batching. Type: int Default: 0 batching.period A period in which an incomplete batch should be flushed regardless of its size. Type: string Default: "" # Examples: period: 1s period: 1m period: 500ms batching.processors[] A list of processors to apply to a batch as it is flushed. This allows you to aggregate and archive the batch however you see fit. Please note that all resulting messages are flushed as a single batch, therefore splitting the batch into smaller batches using these processors is a no-op. Type: processor # Examples: processors: - archive: format: concatenate - archive: format: lines - archive: format: json_array data_source_name Data source name. Type: string driver A database driver to use. Type: string Options: mysql, postgres, clickhouse, mssql, sqlite, oracle, snowflake, trino, gocosmos, spanner max_in_flight The maximum number of inserts to run in parallel. Type: int Default: 64 query The query to execute. The style of placeholder to use depends on the driver, some drivers require question marks (?) whereas others expect incrementing dollar signs ($1, $2, and so on) or colons (:1, :2 and so on). The style to use is outlined in this table: Driver Placeholder Style clickhouse Dollar sign ($) gocosmos Colon (:) mysql Question mark (?) mssql Question mark (?) oracle Colon (:) postgres Dollar sign ($) snowflake Question mark (?) spanner Question mark (?) sqlite Question mark (?) trino Question mark (?) Type: string # Examples: query: INSERT INTO footable (foo, bar, baz) VALUES (?, ?, ?); Back to top × Simple online edits For simple changes, such as fixing a typo, you can edit the content directly on GitHub. Edit on GitHub Or, open an issue to let us know about something that you want us to change. Open an issue Contribution guide For extensive content updates, or if you prefer to work locally, read our contribution guide . Was this helpful? thumb_up thumb_down group Ask in the community mail Share your feedback group_add Make a contribution 🎉 Thanks for your feedback! splunk_hec sql_insert