Docs Cloud Redpanda Connect Components Outputs sql_insert sql_insert Type: OutputProcessor Available in: Cloud, Self-Managed Inserts a row into an SQL database for each message. Common Advanced # Common config fields, showing default values output: label: "" sql_insert: driver: "" # No default (required) dsn: clickhouse://username:password@host1:9000,host2:9000/database?dial_timeout=200ms&max_execution_time=60 # No default (required) table: foo # No default (required) columns: [] # No default (required) args_mapping: root = [ this.cat.meow, this.doc.woofs[0] ] # No default (required) max_in_flight: 64 batching: count: 0 byte_size: 0 period: "" check: "" # All config fields, showing default values output: label: "" sql_insert: driver: "" # No default (required) dsn: clickhouse://username:password@host1:9000,host2:9000/database?dial_timeout=200ms&max_execution_time=60 # No default (required) table: foo # No default (required) columns: [] # No default (required) args_mapping: root = [ this.cat.meow, this.doc.woofs[0] ] # No default (required) prefix: "" # No default (optional) suffix: ON CONFLICT (name) DO NOTHING # No default (optional) max_in_flight: 64 init_files: [] # No default (optional) init_statement: | # No default (optional) CREATE TABLE IF NOT EXISTS some_table ( foo varchar(50) not null, bar integer, baz varchar(50), primary key (foo) ) WITHOUT ROWID; conn_max_idle_time: "" # No default (optional) conn_max_life_time: "" # No default (optional) conn_max_idle: 2 conn_max_open: 0 # No default (optional) batching: count: 0 byte_size: 0 period: "" check: "" processors: [] # No default (optional) Examples Table Insert (MySQL) Here we insert rows into a database by populating the columns id, name and topic with values extracted from messages and metadata: output: sql_insert: driver: mysql dsn: foouser:foopassword@tcp(localhost:3306)/foodb table: footable columns: [ id, name, topic ] args_mapping: | root = [ this.user.id, this.user.name, meta("kafka_topic"), ] Fields driver A database driver to use. Type: string Options: mysql , postgres , clickhouse , mssql , sqlite , oracle , snowflake , trino , gocosmos . dsn A Data Source Name to identify the target database. Drivers The following is a list of supported drivers, their placeholder style, and their respective DSN formats: Driver Data Source Name Format clickhouse clickhouse://[username[:password]@][netloc][:port]/dbname[?param1=value1&…¶mN=valueN] mysql [username[:password]@][protocol[(address)]]/dbname[?param1=value1&…¶mN=valueN] postgres postgres://[user[:password]@][netloc][:port][/dbname][?param1=value1&…] mssql sqlserver://[user[:password]@][netloc][:port][?database=dbname¶m1=value1&…] sqlite file:/path/to/filename.db[?param&=value1&…] oracle oracle://[username[:password]@][netloc][:port]/service_name?server=server2&server=server3 snowflake username[:password]@account_identifier/dbname/schemaname[?param1=value&…¶mN=valueN] trino http[s]://user[:pass]@host[:port][?parameters] gocosmos AccountEndpoint=<cosmosdb-endpoint>;AccountKey=<cosmosdb-account-key>[;TimeoutMs=<timeout-in-ms>][;Version=<cosmosdb-api-version>][;DefaultDb/Db=<db-name>][;AutoId=<true/false>][;InsecureSkipVerify=<true/false>] Please note that the postgres driver enforces SSL by default, you can override this with the parameter sslmode=disable if required. The snowflake driver supports multiple DSN formats. Please consult the docs for more details. For key pair authentication, the DSN has the following format: <snowflake_user>@<snowflake_account>/<db_name>/<schema_name>?warehouse=<warehouse>&role=<role>&authenticator=snowflake_jwt&privateKey=<base64_url_encoded_private_key>, where the value for the privateKey parameter can be constructed from an unencrypted RSA private key file rsa_key.p8 using openssl enc -d -base64 -in rsa_key.p8 | basenc --base64url -w0 (you can use gbasenc insted of basenc on OSX if you install coreutils via Homebrew). If you have a password-encrypted private key, you can decrypt it using openssl pkcs8 -in rsa_key_encrypted.p8 -out rsa_key.p8. Also, make sure fields such as the username are URL-encoded. The gocosmos driver is still experimental, but it has support for hierarchical partition keys as well as cross-partition queries. Please refer to the SQL notes for details. Type: string # Examples dsn: clickhouse://username:password@host1:9000,host2:9000/database?dial_timeout=200ms&max_execution_time=60 dsn: foouser:foopassword@tcp(localhost:3306)/foodb dsn: postgres://foouser:foopass@localhost:5432/foodb?sslmode=disable dsn: oracle://foouser:foopass@localhost:1521/service_name table The table to insert to. Type: string # Examples table: foo columns A list of columns to insert. Type: array # Examples columns: - foo - bar - baz args_mapping A Bloblang mapping which should evaluate to an array of values matching in size to the number of columns specified. Type: string # Examples args_mapping: root = [ this.cat.meow, this.doc.woofs[0] ] args_mapping: root = [ meta("user.id") ] prefix An optional prefix to prepend to the insert query (before INSERT). Type: string suffix An optional suffix to append to the insert query. Type: string # Examples suffix: ON CONFLICT (name) DO NOTHING max_in_flight The maximum number of inserts to run in parallel. Type: int Default: 64 init_files An optional list of file paths containing SQL statements to execute immediately upon the first connection to the target database. This is a useful way to initialise tables before processing data. Glob patterns are supported, including super globs (double star). Care should be taken to ensure that the statements are idempotent, and therefore would not cause issues when run multiple times after service restarts. If both init_statement and init_files are specified the init_statement is executed after the init_files. If a statement fails for any reason a warning log will be emitted but the operation of this component will not be stopped. Type: array # Examples init_files: - ./init/*.sql init_files: - ./foo.sql - ./bar.sql init_statement An optional SQL statement to execute immediately upon the first connection to the target database. This is a useful way to initialise tables before processing data. Care should be taken to ensure that the statement is idempotent, and therefore would not cause issues when run multiple times after service restarts. If both init_statement and init_files are specified the init_statement is executed after the init_files. If the statement fails for any reason a warning log will be emitted but the operation of this component will not be stopped. Type: string # Examples init_statement: |2 CREATE TABLE IF NOT EXISTS some_table ( foo varchar(50) not null, bar integer, baz varchar(50), primary key (foo) ) WITHOUT ROWID; conn_max_idle_time An optional maximum amount of time a connection may be idle. Expired connections may be closed lazily before reuse. If value ⇐ 0, connections are not closed due to a connections idle time. Type: string conn_max_life_time An optional maximum amount of time a connection may be reused. Expired connections may be closed lazily before reuse. If value ⇐ 0, connections are not closed due to a connections age. Type: string conn_max_idle An optional maximum number of connections in the idle connection pool. If conn_max_open is greater than 0 but less than the new conn_max_idle, then the new conn_max_idle will be reduced to match the conn_max_open limit. If value ⇐ 0, no idle connections are retained. The default max idle connections is currently 2. This may change in a future release. Type: int Default: 2 conn_max_open An optional maximum number of open connections to the database. If conn_max_idle is greater than 0 and the new conn_max_open is less than conn_max_idle, then conn_max_idle will be reduced to match the new conn_max_open limit. If value ⇐ 0, then there is no limit on the number of open connections. The default is 0 (unlimited). Type: int 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_raw