# sql_raw

> For the complete documentation index, see [llms.txt](https://docs.redpanda.com/llms.txt). Component-specific: [cloud-data-platform-full.txt](https://docs.redpanda.com/cloud-data-platform-full.txt)

---
title: sql_raw
latest-operator-version: v26.1.4
latest-console-tag: v3.7.3
latest-connect-version: 4.93.0
latest-redpanda-tag: v26.1.9
docname: connect/components/processors/sql_raw
page-component-name: cloud-data-platform
page-version: master
page-component-version: master
page-component-title: Cloud
page-relative-src-path: connect/components/processors/sql_raw.adoc
page-edit-url: https://github.com/redpanda-data/cloud-docs/edit/main/modules/develop/pages/connect/components/processors/sql_raw.adoc
page-git-created-date: "2024-09-09"
page-git-modified-date: "2026-05-26"
---

<!-- Source: https://docs.redpanda.com/cloud-data-platform/develop/connect/components/processors/sql_raw.md -->

**Type:** Processor ▼

[Processor](https://docs.redpanda.com/cloud-data-platform/develop/connect/components/processors/sql_raw/)[Input](https://docs.redpanda.com/cloud-data-platform/develop/connect/components/inputs/sql_raw/)[Output](https://docs.redpanda.com/cloud-data-platform/develop/connect/components/outputs/sql_raw/)

**Available in:** Cloud, [Self-Managed](https://docs.redpanda.com/connect/components/processors/sql_raw/%20%22View%20the%20Self-Managed%20version%20of%20this%20component%22)

Runs an arbitrary SQL query against a database and (optionally) returns the result as an array of objects, one for each row returned.

#### Common

```yml
processors:
  label: ""
  sql_raw:
    driver: "" # No default (required)
    dsn: "" # No default (required)
    query: "" # No default (optional)
    args_mapping: "" # No default (optional)
    exec_only: "" # No default (optional)
    queries: [] # No default (optional)
```

#### Advanced

```yml
processors:
  label: ""
  sql_raw:
    driver: "" # No default (required)
    dsn: "" # No default (required)
    query: "" # No default (optional)
    unsafe_dynamic_query: false
    args_mapping: "" # No default (optional)
    exec_only: "" # No default (optional)
    queries: [] # No default (optional)
    init_files: [] # No default (optional)
    init_statement: "" # No default (optional)
    conn_max_idle_time: "" # No default (optional)
    conn_max_life_time: "" # No default (optional)
    conn_max_idle: 2
    conn_max_open: "" # No default (optional)
```

If the query fails to execute then the message will remain unchanged and the error can be caught using [error handling methods](https://docs.redpanda.com/cloud-data-platform/develop/connect/configuration/error_handling/).

For some scenarios where you might use this processor, see [Examples](#examples).

## [](#fields)Fields

### [](#args_mapping)`args_mapping`

An optional [Bloblang mapping](https://docs.redpanda.com/cloud-data-platform/develop/connect/guides/bloblang/about/) that includes the same number of values in an array as the placeholder arguments in the [`query`](#query) field.

**Type**: `string`

```yaml
# Examples:
args_mapping: root = [ this.cat.meow, this.doc.woofs[0] ]

# ---

args_mapping: root = [ meta("user.id") ]
```

### [](#conn_max_idle)`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_idle_time)`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)`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_open)`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`

### [](#driver)`driver`

A database [driver](#drivers) to use.

**Type**: `string`

**Options**: `mysql`, `postgres`, `pgx`, `clickhouse`, `mssql`, `sqlite`, `oracle`, `snowflake`, `trino`, `gocosmos`, `spanner`, `databricks`

### [](#dsn)`dsn`

A Data Source Name to identify the target database.

#### [](#drivers)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&…​&paramN=valueN] |
| mysql | [username[:password]@][protocol[(address)]]/dbname[?param1=value1&…​&paramN=valueN] |
| postgres and pgx | postgres://[user[:password]@][netloc][:port][/dbname][?param1=value1&…​] |
| mssql | sqlserver://[user[:password]@][netloc][:port][?database=dbname&param1=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&…​&paramN=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>] |
| spanner | projects/[PROJECT]/instances/[INSTANCE]/databases/[DATABASE] |
| databricks | token:<access-token>@<server-hostname>:<port>/<http-path> |

Please note that the `postgres` and `pgx` drivers enforce SSL by default, you can override this with the parameter `sslmode=disable` if required. The `pgx` driver is an alternative to the standard `postgres` (pq) driver and comes with extra functionality such as support for array insertion.

The `snowflake` driver supports multiple DSN formats. Please consult [the docs](https://pkg.go.dev/github.com/snowflakedb/gosnowflake#hdr-Connection_String) for more details. For [key pair authentication](https://docs.snowflake.com/en/user-guide/key-pair-auth.html#configuring-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` instead 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`](https://pkg.go.dev/github.com/microsoft/gocosmos) driver is still experimental, but it has support for [hierarchical partition keys](https://learn.microsoft.com/en-us/azure/cosmos-db/hierarchical-partition-keys) as well as [cross-partition queries](https://learn.microsoft.com/en-us/azure/cosmos-db/nosql/how-to-query-container#cross-partition-query). Please refer to the [SQL notes](https://github.com/microsoft/gocosmos/blob/main/SQL.md) for details.

**Type**: `string`

```yaml
# 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

# ---

dsn: token:dapi1234567890ab@dbc-a1b2345c-d6e7.cloud.databricks.com:443/sql/1.0/warehouses/abc123def456
```

### [](#exec_only)`exec_only`

Whether to discard the [`query`](#query) result. Set to `true` to leave the message contents unchanged, which is useful when you are executing inserts, updates, and so on. By default, the message contents are kept for the last query executed, and previous queries don’t change the results.

**Type**: `bool`

### [](#init_files)`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`

```yaml
# Examples:
init_files:
  - ./init/*.sql

# ---

init_files:
  - ./foo.sql
  - ./bar.sql
```

### [](#init_statement)`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`

```yaml
# Examples:
init_statement: |-

  CREATE TABLE IF NOT EXISTS some_table (
    foo varchar(50) not null,
    bar integer,
    baz varchar(50),
    primary key (foo)
  ) WITHOUT ROWID;
```

### [](#queries)`queries[]`

A list of database statements to run in addition to your main [`query`](#query). If you specify multiple queries, they are executed within a single transaction. For more information, see [Examples](#examples).

**Type**: `object`

### [](#queries-args_mapping)`queries[].args_mapping`

An optional [Bloblang mapping](https://docs.redpanda.com/cloud-data-platform/develop/connect/guides/bloblang/about/) which should evaluate to an array of values matching in size to the number of placeholder arguments in the field `query`.

**Type**: `string`

```yaml
# Examples:
args_mapping: root = [ this.cat.meow, this.doc.woofs[0] ]

# ---

args_mapping: root = [ meta("user.id") ]
```

### [](#queries-exec_only)`queries[].exec_only`

Whether the query result should be discarded. When set to `true` the message contents will remain unchanged, which is useful in cases where you are executing inserts, updates, etc. By default this is true for the last query, and previous queries don’t change the results. If set to true for any query but the last one, the subsequent `args_mappings` input is overwritten.

**Type**: `bool`

### [](#queries-query)`queries[].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 | | `pgx` | Dollar sign | | `mssql` | Question mark | | `sqlite` | Question mark | | `oracle` | Colon | | `snowflake` | Question mark | | `trino` | Question mark | | `gocosmos` | Colon |

**Type**: `string`

### [](#query)`query`

The query to execute.

You must include the correct placeholders for the specified database driver. Some drivers use question marks (`?`), whereas others expect incrementing dollar signs (`$1`, `$2`, and so on) or colons (`:1`, `:2`, and so on).

| 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`

```yaml
# Examples:
query: INSERT INTO footable (foo, bar, baz) VALUES (?, ?, ?);

# ---

query: SELECT * FROM footable WHERE user_id = $1;
```

### [](#unsafe_dynamic_query)`unsafe_dynamic_query`

Whether to enable [interpolation functions](https://docs.redpanda.com/cloud-data-platform/develop/connect/configuration/interpolation/#bloblang-queries) in the query. Great care should be made to ensure your queries are defended against injection attacks.

**Type**: `bool`

**Default**: `false`

## [](#examples)Examples

### [](#table-insert-mysql)Table Insert (MySQL)

The following example inserts rows into the table footable with the columns foo, bar and baz populated with values extracted from messages.

```yaml
pipeline:
  processors:
    - sql_raw:
        driver: mysql
        dsn: foouser:foopassword@tcp(localhost:3306)/foodb
        query: "INSERT INTO footable (foo, bar, baz) VALUES (?, ?, ?);"
        args_mapping: '[ document.foo, document.bar, meta("kafka_topic") ]'
        exec_only: true
```

### [](#table-query-postgresql)Table Query (PostgreSQL)

Here we query a database for columns of footable that share a `user_id` with the message field `user.id`. A [`branch` processor](https://docs.redpanda.com/cloud-data-platform/develop/connect/components/processors/branch/) is used in order to insert the resulting array into the original message at the path `foo_rows`.

```yaml
pipeline:
  processors:
    - branch:
        processors:
          - sql_raw:
              driver: postgres
              dsn: postgres://foouser:foopass@localhost:5432/testdb?sslmode=disable
              query: "SELECT * FROM footable WHERE user_id = $1;"
              args_mapping: '[ this.user.id ]'
        result_map: 'root.foo_rows = this'
```

### [](#dynamically-creating-tables-postgresql)Dynamically Creating Tables (PostgreSQL)

Here we query a database for columns of footable that share a `user_id` with the message field `user.id`. A [`branch` processor](https://docs.redpanda.com/cloud-data-platform/develop/connect/components/processors/branch/) is used in order to insert the resulting array into the original message at the path `foo_rows`.

```yaml
pipeline:
  processors:
    - mapping: |
        root = this
        # Prevent SQL injection when using unsafe_dynamic_query
        meta table_name = "\"" + metadata("table_name").replace_all("\"", "\"\"") + "\""
    - sql_raw:
        driver: postgres
        dsn: postgres://localhost/postgres
        unsafe_dynamic_query: true
        queries:
          - query: |
              CREATE TABLE IF NOT EXISTS ${!metadata("table_name")} (id varchar primary key, document jsonb);
          - query: |
              INSERT INTO ${!metadata("table_name")} (id, document) VALUES ($1, $2)
              ON CONFLICT (id) DO UPDATE SET document = EXCLUDED.document;
            args_mapping: |
              root = [ this.id, this.document.string() ]
```