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 config 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 config 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 driver A database driver to use. Type: string Options: mysql , postgres , clickhouse , mssql , sqlite , oracle , snowflake , trino , gocosmos . data_source_name Data source name. Type: string 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, $2, and so on) or colons (:1, :2 and so on). The style to use is outlined in this table: Driver Placeholder Style clickhouse Dollar sign ($) mysql Question mark (?) postgres Dollar sign ($) mssql Question mark (?) sqlite Question mark (?) oracle Colon (:) snowflake Question mark (?) trino Question mark (?) gocosmos Colon (:) Type: string # Examples query: INSERT INTO footable (foo, bar, baz) VALUES (?, ?, ?); 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") ] max_in_flight The maximum number of inserts to run in parallel. Type: int Default: 64 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.count A number of messages at which the batch should be flushed. If 0 disables count based batching. Type: int Default: 0 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.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.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.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: array # Examples processors: - archive: format: concatenate processors: - archive: format: lines processors: - archive: format: json_array 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 splunk_hec sql_insert