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  • PowerExchange Adapters for Informatica 10.5
  • All Products

Table of Contents

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  1. Preface
  2. Introduction to PowerExchange for Google BigQuery
  3. PowerExchange for Google BigQuery Configuration
  4. Google BigQuery Connections
  5. PowerExchange for Google BigQuery Data Objects
  6. PowerExchange for Google BigQuery Mappings
  7. Google BigQuery Lookup
  8. Google BigQuery Run-Time Processing
  9. Appendix A: Google BigQuery Data Type Reference

PowerExchange for Google BigQuery User Guide

PowerExchange for Google BigQuery User Guide

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Advanced Properties

Advanced Properties

Google BigQuery data object write operation properties include advanced properties that apply to the Google BigQuery data object.
The Developer tool displays advanced properties for the Google BigQuery data object operation in the
Advanced
 tab.
You can configure the following advanced properties in the data object write operation:
Property
Description
UpdateMode
Determines the mode that the
Data Integration Service
 uses to update rows in the Google BigQuery target.
You can select one of the following modes:
  • Update As Update. The
    Data Integration Service
     updates all rows flagged for update in the Update Strategy transformation if the entries exist.
  • Update Else Insert. The
    Data Integration Service
     first updates all rows flagged for update in the Update Strategy transformation if the entries exist in the target. If the entries do not exist, the
    Data Integration Service
     inserts the entries.
Default is Update As Update.
Target Dataset ID
Optional. Overrides the Google BigQuery dataset name specified in the Google BigQuery data object write operation.
Target Table Name
Optional. Overrides the Google BigQuery target table name specified in the Google BigQuery data object write operation.
Create Disposition
Specifies whether PowerExchange for Google BigQuery 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, PowerExchange for Google BigQuery creates the table.
  • Create never. If the table does not exist, PowerExchange for Google BigQuery does not create the table.
Write Disposition
Specifies how PowerExchange for Google BigQuery 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, PowerExchange for Google BigQuery appends the data to the existing data in the table.
  • Write truncate. If the target table exists, PowerExchange for Google BigQuery overwrites the existing data in the table.
  • Write empty. If the target table exists and contains data, PowerExchange for Google BigQuery displays an error and does not write the data to the target.
    PowerExchange for Google BigQuery writes the data to the target only if the target table does not contain any data.
Write disposition is applicable for bulk mode.
Write disposition is applicable only when you perform an insert operation on a Google BigQuery target.
Spark Mode
Applies when you run a mapping on the Spark engine.
Specifies the mode of the Spark engine to write data into the Google bigQuery target.
You can select
Generic
 or
Optimized
.
Default is Generic mode.
Select Optimized mode to increase the performance to write data into the Google BigQuery target.
For more information about the list of advanced properties that you can configure with Optimized Spark mode, see the Informatica How-To Library, "Configuring Optimized Spark Mode for PowerExchange for Google BigQuery Data Objects":
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, PowerExchange for Google BigQuery first writes the data to a staging file in Google Cloud Storage.
    When the staging file contains all the data, PowerExchange for Google BigQuery loads the data from the staging file to the BigQuery target. Google BigQuery then deletes the staging file unless you
    configure the mapping to persist the staging file.
  • Streaming. In streaming mode, PowerExchange for Google BigQuery directly writes data to the BigQuery target. PowerExchange for Google BigQuery writes the data into the target row by row.
Default is Bulk mode.
Streaming Template Table Suffix
Specifies the suffix that PowerExchange for Google BigQuery adds to the individual target tables that it creates based on the template target table.
This property applies to streaming mode.
Rows per Streaming Request
Specifies the number of rows that PowerExchange for Google BigQuery streams to the BigQuery target for each request.
Enter a number greater than 0. Default is 500 rows.
The maximum row size that PowerExchange for Google BigQuery can stream to the BigQuery target for each request is 10 MB.
This property applies to streaming mode.
Staging File Name
Name of the staging file that PowerExchange for Google BigQuery 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.
    If you use hybrid and complex connection mode, you cannot use CSV format as the data format of the staging file.
Persist Staging File After Loading
Indicates whether PowerExchange for Google BigQuery 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, PowerExchange for Google BigQuery 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 PowerExchange for 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 PowerExchange for Google BigQuery polls the status of the write job operation.
Enter a number greater than 0. Default is 10.
Number of Threads for Uploading Staging file
The number of files that PowerExchange for Google BigQuery must upload to Google Cloud Storage in bulk mode.
Enter a number greater than 0.
Local Stage File Directory
Specifies the directory on your local machine where PowerExchange for Google BigQuery stores the files temporarily before writing the data to the staging file in Google Cloud Storage.
This property applies to bulk mode.
This property is not applicable if you run mappings with the Spark engine in the Hadoop environment.
Allow Quoted Newlines
Indicates whether PowerExchange for Google BigQuery must allow the quoted data sections with newline character in a .csv file.
Field Delimiter
Delimiter character for the fields in a .csv file.
Allow Jagged Rows
Indicates whether PowerExchange for Google BigQuery 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
Target Schema Strategy
Not applicable for PowerExchange for Google BigQuery. Leave the default value of
RETAIN
 unchanged.
Enable Merge
Implements Merge query to perform update, upsert, or delete operations on the Google BigQuery target table.
Default is not selected.
Treat Empty String as Null
Determines whether PowerExchange for Google BigQuery must treat an empty string in the source as null in the Google BigQuery target.
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