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Destination Spec Reference

Destination Spec Reference

This goes through all the available options for the destination plugin spec object.

Example

This example configures the postgresql plugin to connect to a PostgreSQL database located at localhost:5432.

kind: destination
spec:
  name: "postgresql"
  path: "cloudquery/postgresql"
  registry: "cloudquery"
  version: "v8.0.4"

  spec:
    connection_string: "postgresql://postgres:pass@localhost:5432/postgres?sslmode=disable"

Spec

name

(string, required)

Name of the plugin. If you have multiple destination plugins, this must be unique.

The name field may be used to uniquely identify a particular destination configuration. For example, if you have two configs for the PostgreSQL plugin for syncing different databases, one may be named db-1 and the other db-2. In this case, the path option below must be used to specify the download path for the plugin.

registry

(string, optional, default: cloudquery, available: github, cloudquery, local, grpc, docker)

  • cloudquery: CloudQuery will look for and download the plugin from the official CloudQuery registry, and then execute it.
  • github: Deprecated. CloudQuery will look for and download the plugin from GitHub, and then execute it.
  • local: CloudQuery will execute the plugin from a local path.
  • grpc: mostly useful in debug mode when plugin is already running in a different terminal, CloudQuery will connect to the gRPC plugin server directly without spawning the process.
  • docker: CloudQuery will run the plugin in a Docker container. This is most useful for plugins written in Python, as they do not support the local, github and cloudquery registries.

path

(string, required)

Configures how to retrieve the plugin. The contents depend on the value of registry (github by default).

  • For plugins hosted on GitHub, path should be of the form "<org>/<repository>". For official plugins, should be cloudquery/<plugin-name>.
  • For plugins that are located in the local filesystem, path should a filesystem path to the plugin binary.
  • To connect to a running plugin via grpc (mostly useful for debugging), path should be the host-port of the plugin (e.g. localhost:7777).

version

(string, required)

version must be a valid SemVer (opens in a new tab)), e.g. vMajor.Minor.Patch. You can find all official plugin versions under our GitHub releases page (opens in a new tab), and for community plugins you can find it in the relevant community repository.

write_mode

(string, optional, default: overwrite-delete-stale. Available: overwrite-delete-stale, overwrite, append)

Specifies the update method to use when inserting rows. The exact semantics depend on the destination plugin, and all destinations don't support all options, so check the destination plugin documentation for details.

  • overwrite-delete-stale: syncs overwrite existing rows with the same primary key, and delete rows that are no longer present in the cloud.
  • overwrite: Same as overwrite-delete-stale, but doesn't delete stale rows from previous syncs.
  • append: Rows are never overwritten or deleted, only appended.

Switching from overwrite-delete-stale or overwrite to append, or from append to overwrite-delete-stale or overwrite is not supported without dropping all tables specified in the configuration. To drop tables automatically, use the migrate_mode: forced option.

migrate_mode

(string, optional, default: safe. Available: safe, forced)

Specifies the migration mode to use when source tables are changed. In safe mode (the default), CloudQuery will not run migrations that would result in data loss, and will print an error instead. In forced mode, CloudQuery will run migrations that may result in data loss and the migration should succeed without errors, unless a table has user created dependent objects (e.g. views). migrate_mode: forced is only supported for the ClickHouse, MySQL, PostgreSQL, MSSQL and SQLite destination plugins at the moment.

Read more about how CloudQuery handles migrations here.

pk_mode

(string, optional, default: default, Available: default, cq-id-only introduced in CLI v2.5.2)

Specifies the Primary Keys that the destination will configure when using the overwrite or overwrite-delete-stale mode.

  • default: The default primary keys are used.
  • cq-id-only: The _cq_id field is used as the only primary key for each table. This is useful when you don't want breaking changes to primary keys to impact your schema. It is highly recommended that if you are using this feature you should also use the deterministic_cq_id feature in the source. If you are using overwrite mode and a source updates a primary key, this will result in a new row being inserted. If you are using overwrite-delete-stale mode, a new row will be inserted and the old row will be deleted as a stale resource. Note: using this parameter might result in changes to query performance as CloudQuery will not be creating indexes for the default primary key columns.

Supported by destination plugins released on 2023-03-21 and later

spec

(object, optional)

Plugin specific configurations. Visit destination plugins (opens in a new tab) documentation for more information.

The following options are available for most destination plugins under the nested plugin spec:

batch_size

(int, optional)

The number of resources to insert in a single batch. Only applies to plugins that utilize batching. This setting works in conjunction with batch_size_bytes, and batches are written whenever either batch_size or batch_size_bytes is reached. Every plugin has its own default value for batch_size.

batch_size_bytes

(int, optional)

The max number of bytes to use for a single batch. Only applies to plugins that utilize batching. This setting works in conjunction with batch_size, and batches are written whenever either batch_size or batch_size_bytes is reached. Every plugin has its own default value for batch_size_bytes. Note that the size in bytes is calculated based on the size of data in memory, not the serialized data, and it is best to choose a batch_size_bytes significantly lower than any hard limits.