singer_sdk.SQLSink

class singer_sdk.SQLSink

SQL-type sink type.

__init__(target: PluginBase, stream_name: str, schema: Dict, key_properties: Optional[List[str]], connector: Optional[SQLConnector] = None) None

Initialize SQL Sink.

Parameters
  • target – The target object.

  • stream_name – The source tap’s stream name.

  • schema – The JSON Schema definition.

  • key_properties – The primary key columns.

  • connector – Optional connector to reuse.

activate_version(new_version: int) None

Bump the active version of the target table.

Parameters

new_version – The version number to activate.

bulk_insert_records(full_table_name: str, schema: dict, records: Iterable[Dict[str, Any]]) Optional[int]

Bulk insert records to an existing destination table.

The default implementation uses a generic SQLAlchemy bulk insert operation. This method may optionally be overridden by developers in order to provide faster, native bulk uploads.

Parameters
  • full_table_name – the target table name.

  • schema – the JSON schema for the new table, to be used when inferring column names.

  • records – the input records.

Returns

True if table exists, False if not, None if unsure or undetectable.

conform_name(name: str, object_type: Optional[str] = None) str

Conform a stream property name to one suitable for the target system.

Transforms names to snake case by default, applicable to most common DBMSs’. Developers may override this method to apply custom transformations to database/schema/table/column names.

Parameters
  • name – Property name.

  • object_type – One of database, schema, table or column.

Returns

The name transformed to snake case.

conform_record(record: dict) dict

Return record dictionary with property names conformed.

Parameters

record – Dictionary representing a single record.

Returns

New record dictionary with conformed column names.

conform_schema(schema: dict) dict

Return schema dictionary with property names conformed.

Parameters

schema – JSON schema dictionary.

Returns

A schema dictionary with the property names conformed.

property connection: Connection

Get or set the SQLAlchemy connection for this sink.

Returns

A connection object.

property connector: SQLConnector

The connector object.

Returns

The connector object.

property database_name: Optional[str]

Return the DB name or None if using names with no database part.

Returns

The target database name.

property full_schema_name: str

Return the fully qualified schema name.

Returns

The fully qualified schema name.

property full_table_name: str

Return the fully qualified table name.

Returns

The fully qualified table name.

generate_insert_statement(full_table_name: str, schema: dict) Union[str, Executable]

Generate an insert statement for the given records.

Parameters
  • full_table_name – the target table name.

  • schema – the JSON schema for the new table.

Returns

An insert statement.

property key_properties: List[str]

Return key properties, conformed to target system naming requirements.

Returns

A list of key properties, conformed with self.conform_name()

merge_upsert_from_table(target_table_name: str, from_table_name: str, join_keys: List[str]) Optional[int]

Merge upsert data from one table to another.

Parameters
  • target_table_name – The destination table name.

  • from_table_name – The source table name.

  • join_keys – The merge upsert keys, or None to append.

Returns

The number of records copied, if detectable, or None if the API does not report number of records affected/inserted.

Raises

NotImplementedError – if the merge upsert capability does not exist or is undefined.

process_batch(context: dict) None

Process a batch with the given batch context.

Writes a batch to the SQL target. Developers may override this method in order to provide a more efficient upload/upsert process.

Parameters

context – Stream partition or context dictionary.

property schema_name: Optional[str]

Return the schema name or None if using names with no schema part.

Returns

The target schema name.

setup() None

Set up Sink.

This method is called on Sink creation, and creates the required Schema and Table entities in the target database.

property table_name: str

Return the table name, with no schema or database part.

Returns

The target table name.