A workaround would be to add aliases to the duplicated columns. Other limitations with Virtual Tables are listed here. Virtual tables are only supported with connections created with 'Service Principal' authent
additionalColumnsisn't specified. If your source is a folder,recursiveis set to true. prefix,modifiedDateTimeStart,modifiedDateTimeEnd, andenablePartitionDiscoveryaren't specified. Example: JSON "activities":[ {"name":"CopyToSnowflake","type":"Copy","inputs": [ {"referenceName":"","type"...
In addition, we highly recommend native partitioning to retrieve huge datasets that have uniform partition distribution. Selecting a subset of columns significantly speeds up query runtime and reduces data scanned. The Snowflake connector is resilient to throttling due to concurrency.The Athena Snow...
To take advantage of row group statistics to prune data in Parquet files, a WHERE clause can include either partition columns or regular columns, or both. The following limitations apply: The clause cannot include any VARIANT columns. The clause can only include one or more of the followingcomp...
The length of output_cols mus match the expected number of output columns from the specific estimator or transformer class used. If this parameter is not specified, output column names are derived by adding an OUTPUT_ prefix to the label column names. These inferred output colum...
Snowflake also supports transforming while loading it into a table using the COPY INTO command in order to avoid using numerous staging or temp tables. Some features supported by the COPY INTO command include casts using SQL select statements, column reordering, adding sequence columns, including au...
Within each micro-partition, data is stored in a columnar data structure, allowing better compression and efficient access only to those columns required by a query. As shown in the picture above, 24 rows from the table are stored and sorted in 4 micro-partitions by columns. Repeated values ...
You might use query mode to read a subset of columns from a table, or to read a join or union of multiple tables.Full or Incremental Read The Snowflake origin can perform a full read or an incremental read each time you run the pipeline. By default, the origin performs a full read ...
Which options are correct regarding the data that is stored in micro-partition metadata?. The range of values for each of the columns in the micro-partition. The number of distinct values. Additional properties are used for both optimization and efficient query processing. ...
Columns used in GROUP BY operations can also help with respect to memory. Try to use columns that have sufficient cardinality to ensure effective pruning of the table, e.g. a column holding the outcome of a coin toss will typically prune < 50% of a table. When defining multiple columns,...