Google BigQuery targets in mappings

Property	Description
Connection	Name of the active Google BigQuery connection that is associated with a dataset.
Target Type	Type of the Google BigQuery target objects available. You can write data to a single Google BigQuery target object or parameterize the object. You cannot write data to multiple objects.
Object	Name of the Google BigQuery target object based on the target type selected.
Create New at Runtime	Creates a target. Enter a name for the target object and select the source fields that you want to use. By default, all source fields are used. The target name can contain alphanumeric characters. You can use the following special characters in the file name: ., _, @, $, % Google BigQuery Connector creates a new target table in the Dataset ID specified in the Google BigQuery connection.
Operation	You can select one the following operations: - Insert - Update - Upsert (Update or Insert) - Delete Note: If you use complex connection mode, you cannot configure update, upsert, and delete operations.
Update Columns	Specifies the temporary primary key columns to update, upsert or delete target data. If the Google BigQuery target does not include a primary key column, and the mapping performs an update, upsert, or delete task operation, click Add to add a temporary key. You can select multiple columns. By default, no columns are specified.

Property	Description
Target Dataset ID	Optional. Overrides the Google BigQuery dataset name that you specified in the connection.
Target Table Name	Optional. Overrides the Google BigQuery target table name that you specified in the Target page of the synchronization task.
Create Disposition	Specifies whether Google BigQuery Connector must create the target table if it does not exist. You can select one of the following values: - Create if needed. If the table does not exist, Google BigQuery Connector creates the table. - Create never. If the table does not exist, Google BigQuery Connector does not create the table and displays an error message.
Write Disposition	Specifies how Google BigQuery Connector must write data in bulk mode if the target table already exists. You can select one of the following values: - Write append. If the target table exists, Google BigQuery Connector appends the data to the existing data in the table. - Write truncate. If the target table exists, Google BigQuery Connector overwrites the existing data in the table. - Write empty. If the target table exists and contains data, Google BigQuery Connector displays an error and does not write the data to the target. Google BigQuery Connector writes the data to the target only if the target table does not contain any data. Note: Write disposition is applicable for bulk mode. Note: Write disposition is applicable only when you perform an insert operation on a Google BigQuery target.
Write Mode	Specifies the mode to write data to the Google BigQuery target. You can select one of the following modes: - Bulk. In bulk mode, Google BigQuery Connector first writes the data to a staging file in Google Cloud Storage. When the staging file contains all the data, Google BigQuery Connector loads the data from the staging file to the BigQuery target. Google BigQuery Connector then deletes the staging file unless you configure the task to persist the staging file. - Streaming. In streaming mode, Google BigQuery Connector directly writes data to the BigQuery target. Google BigQuery Connector writes the data into the target row by row. Default is Bulk mode.
Streaming Template Table Suffix	Specify the suffix to add to the individual target tables that Google BigQuery Connector creates based on the template target table. This property applies to streaming mode.
Rows per Streaming Request	Specifies the number of rows that Google BigQuery Connector streams to the BigQuery target for each request. Default is 500 rows. The maximum row size that Google BigQuery Connector can stream to the Google BigQuery target for each request is 10 MB. This property applies to streaming mode.
Staging file name	Name of the staging file that Google BigQuery Connector creates in the Google Cloud Storage before it loads the data to the Google BigQuery target. This property applies to bulk mode.
Data Format of the staging file	Specifies the data format of the staging file. You can select one of the following data formats: - JSON (Newline Delimited). Supports flat and record data with nested and repeated fields. - CSV. Supports flat data. Note: In a .csv file, columns of the Timestamp data type are represented as floating point numbers that cause the milliseconds value to differ.
Persist Staging File After Loading	Indicates whether Google BigQuery Connector must persist the staging file in the Google Cloud Storage after it writes the data to the Google BigQuery target. You can persist the staging file if you want to archive the data for future reference. By default, Google BigQuery Connector deletes the staging file in Google Cloud Storage. This property applies to bulk mode.
Enable Staging File Compression	Select this option to compress the size of the staging file before Google BigQuery writes the data to the Google Cloud Storage and decompress the staging file before it loads the data to the Google BigQuery target. You can enable staging file compression to reduce cost and transfer time.
Job Poll Interval in Seconds	The number of seconds after which Google BigQuery Connector polls the status of the write job operation. Default is 10.
Number of Threads for Uploading Staging file	The number of files that Google BigQuery Connector must create to upload the staging file in bulk mode.
Local Stage File Directory	Specifies the directory on your local machine where Google BigQuery Connector stores the files temporarily before writing the data to the staging file in Google Cloud Storage. This property applies to bulk mode.
Allow Quoted Newlines	Indicates whether Google BigQuery Connector must allow the quoted data sections with newline character in a .csv file.
Field Delimiter	Indicates whether Google BigQuery Connector must allow field separators for the fields in a .csv file.
Allow Jagged Rows	Indicates whether Google BigQuery Connector must accept the rows without trailing columns in a .csv file.
Pre SQL	SQL statement that you want to run before writing data to the target. For example, if you want to select records from the database before you write the records into the table, specify the following pre SQL statement: SELECT * FROM `api-project-80697026669.EMPLOYEE.RegionNation` LIMIT 1000
Pre SQL Configuration	Specify a pre SQL configuration. For example, DestinationTable:PRESQL_TGT2,DestinationDataset:EMPLOYEE, FlattenResults:False,WriteDisposition:WRITE_TRUNCATE,UseLegacySql:False
Post SQL	SQL statement that you want to run after writing the data into the target. For example, if you want to update records in a table after you write the records into the target table, specify the following post SQL statement: UPDATE [api-project-80697026669.EMPLOYEE.PERSONS_TGT_DEL] SET phoneNumber.number =1000011, phoneNumber.areaCode=100 where fullname='John Doe'
Post SQL Configuration	Specify a post SQL configuration. For example, DestinationTable:POSTSQL_SRC,DestinationDataset:EMPLOYEE, FlattenResults:True,UseLegacySQL:False
Success File Directory	Not applicable for Google BigQuery Connector.
Error File Directory	Not applicable for Google BigQuery Connector.
Forward Rejected Rows	Not applicable for Google BigQuery Connector.