![]() However, because this translation requires almost a one-to-one translation of Spark SQL operators to Snowflake expressions, not all of Spark SQL operators can be pushed down. When the data source is Snowflake, the operations are translated into a SQL query and then executed in Snowflake to improve performance. The Spark Connector applies predicate and query pushdown by capturing and analyzing the Spark logical plans for SQL operations. ![]() ![]() Passing Snowflake Session Parameters as Options for the ConnectorĪuthenticating Hadoop/Spark Using S3A or S3NĪuthenticating Through a Browser is Not Supported Specifying Azure Information for Temporary Storage in Spark Using Key Pair Authentication & Key Pair Rotation ![]() Setting Configuration Options for the Connector Verifying the Network Connection to Snowflake with SnowCD ![]()
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