Source code for airflow.operators.postgres_operator

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from airflow.hooks.postgres_hook import PostgresHook
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults


[docs]class PostgresOperator(BaseOperator): """ Executes sql code in a specific Postgres database :param sql: the sql code to be executed. (templated) :type sql: Can receive a str representing a sql statement, a list of str (sql statements), or reference to a template file. Template reference are recognized by str ending in '.sql' :param postgres_conn_id: reference to a specific postgres database :type postgres_conn_id: str :param autocommit: if True, each command is automatically committed. (default value: False) :type autocommit: bool :param parameters: (optional) the parameters to render the SQL query with. :type parameters: mapping or iterable :param database: name of database which overwrite defined one in connection :type database: str """
[docs] template_fields = ('sql',)
[docs] template_ext = ('.sql',)
[docs] ui_color = '#ededed'
@apply_defaults def __init__( self, sql, postgres_conn_id='postgres_default', autocommit=False, parameters=None, database=None, *args, **kwargs): super(PostgresOperator, self).__init__(*args, **kwargs) self.sql = sql self.postgres_conn_id = postgres_conn_id self.autocommit = autocommit self.parameters = parameters self.database = database
[docs] def execute(self, context): self.log.info('Executing: %s', self.sql) self.hook = PostgresHook(postgres_conn_id=self.postgres_conn_id, schema=self.database) self.hook.run(self.sql, self.autocommit, parameters=self.parameters) for output in self.hook.conn.notices: self.log.info(output)

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