Press Control+Shift+A, type copy tables to and press Enter.įrom the Target schema for all sources list, select a schema in which you want to create a table. Right-click the selection and navigate to Import/Export | Copy Tables to.ĭrag the selection to a schema or a database. To open the Import 'table_name' Table dialog, you can use the following actions: Open the Import 'table_name' Table dialog. Select tables that you want to copy to a different schema, database, or existing table. If you perform the same actions for an existing table, DataGrip adds the data to that table. If you drag a file into a schema or carry out the Import Data from File(s) command for a schema, DataGrip creates a new table for the data that you import. To select a schema or a table, use Table and Target schema for all sources lists. You can select in what schema to create a table and whether to import data to a new table or an existing one. You can go through the files in the Sources pane. In the Import "file_name" File dialog, specify the data conversion settings for every file. Navigate to the files that contain delimiter-separated values, select them, and click Open. To mark the first row as a header, right-click the row in the Data Preview pane and select First Row Is Header.įor more information about data conversion settings, refer to Import File dialog. To select a schema or a table, use Table and Target schema lists. In the Import "file_name" File dialog, specify the data conversion settings and click Import. Navigate to the file that contains delimiter-separated values and double-click it. In the Database Explorer ( View | Tool Windows | Database Explorer), right-click a schema or a table and select Import/Export | Import Data from File(s). To see other options of how you can run an SQL file against a database, refer to Run files. If a script contains schema switching, you will see a warning ( ). To add files, click the Add button ( ) and navigate to files that you want to run. Script files: SQL files that you want to run. If you select a data source as a target, DataGrip displays a schema in which the script will be run. Target data source / schema: databases or schemas against which you want to run your database scripts. Select the settings for your run configuration. In the file browser window that opens, navigate to the SQL file that you want to run and click Open. In the Database Explorer ( View | Tool Windows | Database Explorer), right-click a data source, or a schema and select SQL Scripts | Run SQL Script…. In addition to script files, you can import data from a CSV, TSV, or any other text files that contain delimiter-separated values.įor more information about adding the SQL files that are stored on your machine to your project in DataGrip, refer to Attach a directory with SQL files. To import data from a script file, run the file as it is described in the Run files page. get ( "SYSTEM_TESTS_ENV_ID" ) DAG_ID = "postgres_operator_dag" with DAG ( dag_id = DAG_ID, start_date = datetime. # create_pet_table, populate_pet_table, get_all_pets, and get_birth_date are examples of tasks created by # instantiating the Postgres Operator ENV_ID = os. Your dags/sql/pet_schema.sql should like this: This is how it works: you simply createĪ directory inside the DAG folder called sql and then put all the SQL files containing your SQL queries inside it. To prevent this, Airflow offers an elegant solution. datetime ( 2020, 2, 2 ), schedule =, catchup = False, ) as dag : create_pet_table = PostgresOperator ( task_id = "create_pet_table", sql = """ CREATE TABLE IF NOT EXISTS pet ( pet_id SERIAL PRIMARY KEY, name VARCHAR NOT NULL, pet_type VARCHAR NOT NULL, birth_date DATE NOT NULL, OWNER VARCHAR NOT NULL) """, )ĭumping SQL statements into your PostgresOperator isn’t quite appealing and will create maintainability pains somewhereĭown to the road.
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