Progress DataDirect for ODBC for Google BigQuery

    An asterisk (*) indicates support that was added in a hotfix or software patch subsequent to a release.

    Refer to the following resources for additional information:

    • Product Compatibility Guide: Provides the latest data source and platform support information. 
    • Fixes: Describes the issues resolved since general availability.  

    Version 8.0.0

    • The driver has been enhanced to support the Google BigQuery Streaming API for executing batch inserts. The Use Streaming Insert connection option has been added to the driver. This option is enabled by default.*
    • The driver has been enhanced to allow users to specify values for the following exposed connection options:
      • Auth URI and Token URI for OAuth 2.0 authentication.
      • JWT Audience and Token URI for Service Account authentication.
      Previously, the driver used the default values for these options when authenticating to Google BigQuery.*
    • The installer program has been enhanced to support Azul Zulu JRE 11. As a result of this change, the installer has ended support for platforms that do not support Java SE 8 or higher. The installer supports the following operating systems after the enhancement:
      • Windows 8.1 or higher
      • Windows Server 2012 RC2 or higher
      • UNIX/Linux: Any operating system on a machine using a JRE that is Java SE 8 or higher (LTS version), including Oracle JDK, OpenJDK, and IBM SDK (Java) distributions.
      Important: These changes do not affect the operating system requirements of the driver.*
    • The driver has been enhanced to fetch metadata for multiple tables parallelly at connection time. This enhancement provides performance benefits when connecting to a dataset that has a large amount of data.*
    • The driver has been enhanced to support the BIGNUMERIC data type, which maps to the SQL_DECIMAL ODBC data type.*
    • The Service Account Key Content connection option has been added to the driver. This option allows you to specify the private key required for service account authentication without having to persist the .json or .p12 file that contains the private key (as required with the Service Account Private Key option) .*
    • The Enable Catalog Support connection option has been added to the driver. It determines whether the driver supports specifying values for catalog parameters in metadata calls. Note that catalogs and schemas are equivalent to projects and datasets in Google BigQuery.*
    • The drivers using base version B0649 and later have been enhanced to include timestamp in the internal packet logs by default. If you want to disable the timestamp logging in packet logs, set PacketLoggingOptions=1. The internal packet logging is not enabled by default. To enable it, set EnablePacketLogging=1.*
    • The driver has been enhanced to support the Google BigQuery Storage API when fetching large result sets.*
      Note: Currently, the Storage API is supported only on Windows 64-bit, Linux 64-bit, and JVM 64-bit. If an application attempts to use the Storage API on an unsupported platform, the driver falls back to the Standard API.
    • The Driver Manager for UNIX/Linux has been enhanced to support setting the Unicode encoding type for applications on a per connection basis. By passing a value for the SQL_ATTR_APP_UNICODE_TYPE attribute using SQLSetConnectAttr, your application can specify the encoding at connection. This allows your application to pass both UTF-8 and UTF-16 encoded strings with a single environment handle.*
      The valid values for the SQL_ATTR_APP_UNICODE_TYPE attribute are SQL_DD_CP_UTF8 and SQL_DD_CP_UTF16. The default value is SQL_DD_CP_UTF8.
      This enhancement is available in build 08.02.0449 of the driver manager.
    • The default value of the SchemaSet configuration option has been changed to the project and dataset specified at connection.*
    • Supports standard and legacy Google BigQuery SQL dialects.
    • Serves as a complete pass-through driver that leverages Google BigQuery SQL engine to execute queries.
    • Supports create, read, update, and delete (CRUD) operations.
    • Returns data for complex data types, such as Array and Struct, as JSON strings, in a format that is easy to comprehend for ODBC applications.
    • Supports proxy connections.
    • Supports the handling of large result sets with configurable paging and the FetchSize and WSFetchSize connection options.






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