TIMESTAMPDIFF(interval,timestamp_exp1,timestamp_exp2) For TIMESTAMPADD and TIMESTAMPDIFF, only the TIMESTAMP and DATE data types are supported.TIMESTAMPADD(interval,integer_exp,timestamp_exp.TIME data types are not supported for the following scalar functions:.Time precision values are not supported for the CURRENT_TIME and CURRENT_TIMESTAMP scalar functions. For the following scalar functions, BigQuery only returns values in UTC, but ODBC expects the values in local time:.As a result, the connector maps RAND() and RAND(6) to RAND(). Standard SQL does not support the seed in the RAND() scalar function. When using the Standard SQL dialect, the connector's ODBC escape functionality is subject to the following limitations: When casting data to a specific data type, you must use the corresponding data type name shown in the 'Casting' section of the Query Reference: tingįor example, to cast the 'salary' column to the INTEGER type, you must specify INT64 instead of INTEGER: SELECT position, CAST(salary AS INT64) from Employee When casting data, you must specify the data type according to Google BigQuery standards.For a list of BigQuery data types that the connector maps to the SQL_DOUBLE ODBC type, see the Installation and Configuration Guide. On macOS or Linux platforms, when the connector converts SQL_DOUBLE data to SQL_C_CHAR or SQL_C_WCHAR, data which is small or large enough to require representation in scientific notation may prepend a 0 to the exponent.This is a limitation of the Google BigQuery server discovered on Mar 2021. The connector no longer supports parameters in the exception block.Known Issues The following are known issues that you may encounter due to limitations in the data source, the connector, or an application. When the KeyFile property is set to a key file path, the connector incorrectly returns an error. When using Service Authentication, an unparseable KeyFile value causes the connector to terminate unexpectedly. If the Dataset drop-down list is opened immediately after the DSN dialog box is opened, the connector terminates unexpectedly.

Resolved Issues The following issues have been resolved in Simba Google BigQuery ODBC Connector 2.3.5.

Instructions on using the ClientId and ClientSecret properties for authentication are included in the Installation and Configuration Guide. The release notes provide details of enhancements, features, known issues, and workflow changes in Simba Google BigQuery ODBC Connector 2.3.5, as well as the version history.Ģ.3.5 = = Magnitude Simba Google BigQuery ODBC Data Connector Release Notes =

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