sql_raw

Type:

Available in: Cloud, Self-Managed

Executes an arbitrary SQL query for each message.

Common
Advanced

# Common configuration fields, showing default values
output:
  label: ""
  sql_raw:
    driver: "" # No default (required)
    dsn: "clickhouse://username:password@host1:9000,host2:9000/database?dial_timeout=200ms&max_execution_time=60" # 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_raw:
    driver: "" # No default (required)
    dsn: "clickhouse://username:password@host1:9000,host2:9000/database?dial_timeout=200ms&max_execution_time=60" # No default (required)
    query: INSERT INTO footable (foo, bar, baz) VALUES (?, ?, ?); # No default (required)
    unsafe_dynamic_query: false
    args_mapping: root = [ this.cat.meow, this.doc.woofs[0] ] # 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_raw:
    driver: mysql
    dsn: foouser:foopassword@tcp(localhost:3306)/foodb
    query: "INSERT INTO footable (id, name, topic) VALUES (?, ?, ?);"
    args_mapping: |
      root = [
        this.user.id,
        this.user.name,
        meta("kafka_topic"),
      ]

Fields

`driver`

A database driver to use.

Type: string

Options: clickhouse , gocosmos , mysql , mssql , oracle , postgres , snowflake , spanner , sqlite , trino

`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

Driver	Data Source Name Format
`clickhouse`	`clickhouse://[username[:password]@][netloc][:port]/dbname[?param1=value1&…&paramN=valueN]`
`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>]`
`mssql`	`sqlserver://[user[:password]@][netloc][:port][?database=dbname&param1=value1&…]`
`mysql`	`[username[:password]@][protocol[(address)]]/dbname[?param1=value1&…&paramN=valueN]`
`oracle`	`oracle://[username[:password]@][netloc][:port]/service_name?server=server2&server=server3`
`postgres`	`postgres://[user[:password]@][netloc][:port][/dbname][?param1=value1&…]`
`snowflake`	`username[:password]@account_identifier/dbname/schemaname[?param1=value&…&paramN=valueN]`
`spanner`	`projects/[project]/instances/[instance]/databases/[database]`
`sqlite`	`file:/path/to/filename.db[?param&=value1&…]`
`trino`	`http[s]://user[:pass]@host[:port][?parameters]`

clickhouse

clickhouse://[username[:password]@][netloc][:port]/dbname[?param1=value1&…&paramN=valueN]

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>]

mssql

sqlserver://[user[:password]@][netloc][:port][?database=dbname&param1=value1&…]

mysql

[username[:password]@][protocol[(address)]]/dbname[?param1=value1&…&paramN=valueN]

oracle

oracle://[username[:password]@][netloc][:port]/service_name?server=server2&server=server3

postgres

postgres://[user[:password]@][netloc][:port][/dbname][?param1=value1&…]

snowflake

username[:password]@account_identifier/dbname/schemaname[?param1=value&…&paramN=valueN]

spanner

projects/[project]/instances/[instance]/databases/[database]

sqlite

file:/path/to/filename.db[?param&=value1&…]

trino

http[s]://user[:pass]@host[:port][?parameters]

By default, the postgres driver enforces SSL. You can override this with the parameter sslmode=disable.
The snowflake driver supports multiple DSN formats. For more details, see the gosnowflake documentation.

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. On macOS, if you install coreutils with Homebrew, you can use gbasenc instead of basenc. 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. For more details, see SQL notes.

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

`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

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 (`?`)

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 (?, ?, ?);

`unsafe_dynamic_query`

Whether to enable interpolation functions in the query. Great care should be made to ensure your queries are defended against injection attacks.

Type: bool

Default: false

`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

`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

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sql_raw

Examples

Fields

driver

dsn

Drivers

query

unsafe_dynamic_query

args_mapping

max_in_flight

init_files

init_statement

conn_max_idle_time

conn_max_life_time

conn_max_idle

conn_max_open

batching

batching.count

batching.byte_size

batching.period

batching.check

batching.processors

Simple online edits

Contribution guide

`driver`

`dsn`

`query`

`unsafe_dynamic_query`

`args_mapping`

`max_in_flight`

`init_files`

`init_statement`

`conn_max_idle_time`

`conn_max_life_time`

`conn_max_idle`

`conn_max_open`

`batching`

`batching.count`

`batching.byte_size`

`batching.period`

`batching.check`

`batching.processors`