The number of ?s should match the number of fields in the target. If CSV data source starts with a header row, check this box.Įnter the list of columns that CSV data source will populate, in the same order as CSV data source.Įnter the custom values for the UPSERT statement. If CSV data source is a CSV file, check this box. The columns in this data source must match the same order as Columns. If these columns match between records in both the staging and target tables, the command updates the record otherwise, it inserts the record.Įnter the multi-lined text or CSV file to upsert into the target table. Note: Do not use an existing table the command automatically creates and then drops this table during the upsert.Įnter a list of the columns that contain unique values for each record. As an example, if you have: CREATE TABLE 'public'. This is the Amazon Redshift guide for loading and manipulating semi-structured data using the the SUPER data type. Properties PropertyĮnter the name of the table to temporarily hold records as they upsert in the target table. In Amazon Redshift the SUPER data type is used to store semi-structured data. If the unique keys of an existing record match those of a record in the data source, the command updates the record otherwise, it inserts the record. ![]() To execute an UPSERT statement, use an Upsert records command. If the first row of the CSV data source input is its headers, check this box.Įnter the list of columns that CSV data source input will populate, in the same order as CSV data source.Įnter the custom values for the INSERT statement. If CSV data source is a file, check this box. Select the delimiter used in CSV data source. Properties PropertyĮnter the multi-lined text or CSV file to insert into the table. To execute an INSERT statement, use an Insert records command. JSON uses UTF-8 encoded text strings, so JSON strings can be stored as CHAR or VARCHAR data types. For more information about the SUPER data type, see Ingesting and querying semistructured data in Amazon Redshift. Properties PropertyĮnter the table to retrieve the definition of. SUPER uses a post-parse schemaless representation that can efficiently query hierarchical data. To retrieve the details of a table-including its columns, primary keys, and foreign keys-as JSON, use a Get table definition command. To execute an UPDATE statement, use an Execute update command. Any result set will be available as a file output. To execute any SQL command, use an Execute SQL command. Select the delimiter to use for the CSV file output.įor a preview of the returned rows, check this box. ![]() ![]() To execute a SELECT query and receive its results as a comma-separated values (CSV) file, use an Execute query command. To execute a CREATE statement, use an Execute create command. To enable these commands, an IT admin first creates an Amazon Redshift connector. To perform structured query language (SQL) operations in Amazon® Redshift®, add a step in a chain that uses an Amazon Redshift connection command.
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