Google BigQuery Connectors

Back Next

Google BigQuery V2 lookups in mappings

Google BigQuery V2
lookups in mappings

You can create lookups for objects in a

Google BigQuery V2

mapping. You can retrieve data from a

Google BigQuery V2

lookup object based on the specified lookup condition.

When you configure a lookup in a

Google BigQuery V2

mapping, you select the lookup connection and lookup object. You also define the behavior when a lookup condition returns more than one match.

You can use the = (Equal to) and != (Not equal to) operators in a lookup condition.

You can add the following lookups to a Google BigQuery object when you configure field mappings in a mapping task:

Connected with cached or uncached

Unconnected with cached

Dynamic lookup cache

You can only configure a cached lookup for mappings in advanced mode.

You cannot configure an uncached lookup for a lookup object that uses a

Google BigQuery V2

connection in complex connection mode.

The following table describes the

Google BigQuery V2

lookup object properties that you can configure in a Lookup transformation:

Property	Description
Connection	Name of the lookup connection.
Source Type	Type of the source object. Select Single Object or Parameter.
Lookup Object	Name of the Google BigQuery lookup object for the mapping.
Multiple Matches	Behavior when the lookup condition returns multiple matches. You can return all rows, any row, the first row, the last row, or an error. You can select from the following options in the lookup object properties to determine the behavior: Return first row¹ Return last row¹ Return any row Return all rows Report error Only return any row, return all rows, and report error is applicable for mappings in advanced mode.

¹ Doesn't apply to mappings in advanced mode.

The following table describes the

Google BigQuery V2

lookup object advanced properties that you can configure in a Lookup transformation with caching enabled:

Property	Description
Source Dataset ID	Optional. Overrides the Google BigQuery dataset name that you specified in the connection.
Source Table Name	Optional. Overrides the Google BigQuery table name that you specified in the Lookup transformation.
Number of Rows to Read	Specifies the number of rows to read from the Google BigQuery source table.
Allow Large Results¹	Determines whether Google BigQuery V2 Connector creates arbitrarily large result tables to query large source tables. If you select this option, you must specify a destination table to store the query results.
Query Results Table Name¹	Required if you select the Allow Large Results option. Specifies the destination table name to store the query results. If the table is not available in the dataset, Google BigQuery V2 Connector creates the destination table with the name that you specify.
Job Poll Interval in Seconds¹	The number of seconds after which Google BigQuery V2 Connector polls the status of the read job operation. Default is 10.
Read Mode	Specifies the read mode to read data from the Google BigQuery source. You can select one the following read modes: Direct. In direct mode, Google BigQuery V2 Connector reads data directly from the Google BigQuery source table. When you use hybrid and complex connection mode, you cannot use direct mode to read data from the Google BigQuery source. Staging¹. In staging mode, Google BigQuery V2 Connector exports data from the Google BigQuery source into Google Cloud Storage. After the export is complete, Google BigQuery V2 Connector downloads the data from Google Cloud Storage into the local stage file and then reads data from the local stage file. Default is Direct mode.
Number of Threads for Downloading Staging Files¹	Specifies the number of files that Google BigQuery V2 Connector downloads at a time to enable parallel download. This property applies to staging mode.
Local Stage File Directory¹	Specifies the directory on your local machine where Google BigQuery V2 Connector stores the Google BigQuery source data temporarily before it reads the data. This property applies to staging mode.
Staging File Name¹	Name of the staging file where data from the Google BigQuery source table is exported to Google Cloud Storage. This property applies to staging mode.
Data Format of the staging file¹	Specifies the data format of the staging file. You can select one of the following data formats: Avro JSON (Newline Delimited). Supports flat and record data with nested and repeated fields. Parquet CSV. Supports flat data. In a .csv file, columns of the Timestamp data type are represented as floating point numbers that cause the milliseconds value to differ. This property applies to staging mode.
Enable Staging File Compression¹	Indicates whether to compress the size of the staging file in Google Cloud Storage before Google BigQuery V2 Connector reads data from the staging file. You can enable staging file compression to reduce cost and transfer time. This property applies to staging mode.
Persist Destination Table¹	Indicates whether Google BigQuery V2 Connector must persist the query results table after it reads data from the query results table. By default, Google BigQuery V2 Connector deletes the query results table.
pre SQL¹	SQL statement that you want to run before reading data from the source. For example, if you want to select records in the database before you read the records from the table, specify the following pre SQL statement: SELECT * FROM [api-project-80697026669:EMPLOYEE.DEPARTMENT] LIMIT 1000;
pre SQL Configuration¹	Specify a pre SQL configuration. For example, DestinationTable:PRESQL_SRC,DestinationDataset:EMPLOYEE, FlattenResults:False,WriteDisposition:WRITE_TRUNCATE,UseLegacySql:False
post SQL¹	SQL statement that you want to run after reading data from the source. For example, if you want to update records in a table after you read the records from a source 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 Configuration¹	Specify a post SQL configuration. For example, DestinationTable:POSTSQL_SRC,DestinationDataset:EMPLOYEE, FlattenResults:True,WriteDisposition:WRITE_TRUNCATE,UseLegacySql:False
SQL Override Query¹	Overrides the default SQL query used to read data from the Google BigQuery source. When you specify SQL override query, you must specify a dataset name in the Source Dataset ID advanced source property. Ensure that the list of selected columns, data types, and the order of the columns that appear in the query matches the columns, data types, and order in which they appear in the source object. Ensure that you only map all the columns in the SQL override query to the target. Does not apply when you enable partitioning.
Use Legacy SQL for SQL Override¹	Indicates that the SQL Override query is specified in legacy SQL. Use the following format to specify a legacy SQL query for the SQL Override Query property: SELECT <Col1, Col2, Col3> FROM [projectID:datasetID.tableName] Clear this option to define a standard SQL override query. Use the following format to specify a standard SQL query for the SQL Override Query property: SELECT * FROM 'projectID.datasetID.tableName'
Retry Options¹	Comma-separated list to specify the following retry options: Retry Count. The number of retry attempts to read data from Google BigQuery. Retry Interval. The time in seconds to wait between each retry attempt. Retry Exceptions. The list of exceptions separated by pipe (\|) character for which the retries are made. Use the following format to specify the retry options: For example, RetryCount:5,RetryInterval:1,RetryExceptions:java.net.ConnectException\|java.io.IOException The retry options are available for preview. Preview functionality is supported for evaluation purposes but is unwarranted and is not production-ready. Informatica recommends that you use in non-production environments only. Informatica intends to include the preview functionality in an upcoming release for production use, but might choose not to in accordance with changing market or technical circumstances. For more information, contact Informatica Global Customer Support. To use the functionality, your organization must have the appropriate licenses.
Number of Spark Partitions²	Specifies the maximum number of partitions that the Spark engine splits the data into. Default is 1.
Label¹	You can assign a label for the transformation to organize and filter the associated jobs in the Google Cloud Platform Log Explorer. For more information about labels and their usage requirements, see Assign a label to the transformations.
Billing Project ID¹	The project ID for the Google Cloud project that is linked to an active Google Cloud Billing account where the Secure Agent runs query and extract jobs. If you omit the project ID here, the Secure Agent runs query and extract jobs in the Google Cloud project corresponding to the Project ID value specified in the Google BigQuery V2 connection.
Lookup Data Filter ¹	Limits the number of lookups that the mapping performs on the cache of the lookup source table based on the value you specify in the filter condition. This property is applicable when you select object as the source type and enable lookup cache on the Advanced tab for the Lookup transformation. Maximum length is 32768 characters. For more information about this property, see Transformations in the Data Integration documentation.
¹ Doesn't apply to mappings in advanced mode. ² Applies only to mappings in advanced mode.