Add ctas_write_compression argument to athena.read_sql_query

awswrangler/athena/_read.py

@@ -261,6 +261,7 @@ def _resolve_query_without_cache_ctas(
     alt_database: Optional[str],
     name: Optional[str],
     ctas_bucketing_info: Optional[Tuple[List[str], int]],
+    ctas_write_compression: Optional[str],
     use_threads: Union[bool, int],
     s3_additional_kwargs: Optional[Dict[str, Any]],
     boto3_session: boto3.Session,
@@ -276,6 +277,7 @@ def _resolve_query_without_cache_ctas(
         s3_output=s3_output,
         workgroup=workgroup,
         encryption=encryption,
+        write_compression=ctas_write_compression,
         kms_key=kms_key,
         wait=True,
         boto3_session=boto3_session,
@@ -409,6 +411,7 @@ def _resolve_query_without_cache(
     ctas_database_name: Optional[str],
     ctas_temp_table_name: Optional[str],
     ctas_bucketing_info: Optional[Tuple[List[str], int]],
+    ctas_write_compression: Optional[str],
     use_threads: Union[bool, int],
     s3_additional_kwargs: Optional[Dict[str, Any]],
     boto3_session: boto3.Session,
@@ -439,6 +442,7 @@ def _resolve_query_without_cache(
                 alt_database=ctas_database_name,
                 name=name,
                 ctas_bucketing_info=ctas_bucketing_info,
+                ctas_write_compression=ctas_write_compression,
                 use_threads=use_threads,
                 s3_additional_kwargs=s3_additional_kwargs,
                 boto3_session=boto3_session,
@@ -656,7 +660,7 @@ def get_query_results(
 
 
 @apply_configs
-def read_sql_query(
+def read_sql_query(  # pylint: disable=too-many-arguments,too-many-locals
     sql: str,
     database: str,
     ctas_approach: bool = True,
@@ -672,6 +676,7 @@ def read_sql_query(
     ctas_database_name: Optional[str] = None,
     ctas_temp_table_name: Optional[str] = None,
     ctas_bucketing_info: Optional[Tuple[List[str], int]] = None,
+    ctas_write_compression: Optional[str] = None,
     use_threads: Union[bool, int] = True,
     boto3_session: Optional[boto3.Session] = None,
     max_cache_seconds: int = 0,
@@ -838,6 +843,9 @@ def read_sql_query(
         Tuple consisting of the column names used for bucketing as the first element and the number of buckets as the
         second element.
         Only `str`, `int` and `bool` are supported as column data types for bucketing.
+    ctas_write_compression: str, optional
+        Write compression for the temporary table where the CTAS result is stored.
+        Corresponds to the `write_compression` parameters for CREATE TABLE AS statement in Athena.
     use_threads : bool, int
         True to enable concurrent requests, False to disable multiple threads.
         If enabled os.cpu_count() will be used as the max number of threads.
@@ -963,6 +971,7 @@ def read_sql_query(
         ctas_database_name=ctas_database_name,
         ctas_temp_table_name=ctas_temp_table_name,
         ctas_bucketing_info=ctas_bucketing_info,
+        ctas_write_compression=ctas_write_compression,
         use_threads=use_threads,
         s3_additional_kwargs=s3_additional_kwargs,
         boto3_session=session,
@@ -987,6 +996,7 @@ def read_sql_table(
     ctas_database_name: Optional[str] = None,
     ctas_temp_table_name: Optional[str] = None,
     ctas_bucketing_info: Optional[Tuple[List[str], int]] = None,
+    ctas_write_compression: Optional[str] = None,
     use_threads: Union[bool, int] = True,
     boto3_session: Optional[boto3.Session] = None,
     max_cache_seconds: int = 0,
@@ -1131,6 +1141,9 @@ def read_sql_table(
         Tuple consisting of the column names used for bucketing as the first element and the number of buckets as the
         second element.
         Only `str`, `int` and `bool` are supported as column data types for bucketing.
+    ctas_write_compression: str, optional
+        Write compression for the temporary table where the CTAS result is stored.
+        Corresponds to the `write_compression` parameters for CREATE TABLE AS statement in Athena.
     use_threads : bool, int
         True to enable concurrent requests, False to disable multiple threads.
         If enabled os.cpu_count() will be used as the max number of threads.
@@ -1202,6 +1215,7 @@ def read_sql_table(
         ctas_database_name=ctas_database_name,
         ctas_temp_table_name=ctas_temp_table_name,
         ctas_bucketing_info=ctas_bucketing_info,
+        ctas_write_compression=ctas_write_compression,
         use_threads=use_threads,
         boto3_session=boto3_session,
         max_cache_seconds=max_cache_seconds,

awswrangler/athena/_utils.py

@@ -472,9 +472,11 @@ def start_query_execution(
         max_cache_query_inspections=max_cache_query_inspections,
         max_remote_cache_entries=max_remote_cache_entries,
     )
+    _logger.debug("cache_info:\n%s", cache_info)
 
     if cache_info.has_valid_cache and cache_info.query_execution_id is not None:
         query_execution_id = cache_info.query_execution_id
+        _logger.debug("Valid cache found. Retrieving...")
     else:
         wg_config: _WorkGroupConfig = _get_workgroup_config(session=session, workgroup=workgroup)
         query_execution_id = _start_query_execution(

tests/test_athena.py

@@ -1,6 +1,7 @@
 import datetime
 import logging
 import string
+from unittest.mock import patch
 
 import boto3
 import numpy as np
@@ -1252,3 +1253,34 @@ def test_get_query_execution(workgroup0, workgroup1):
     assert isinstance(unprocessed_query_executions_df, pd.DataFrame)
     assert set(query_execution_ids).intersection(set(query_executions_df["QueryExecutionId"].values.tolist()))
     assert {"aaa", "bbb"}.intersection(set(unprocessed_query_executions_df["QueryExecutionId"].values.tolist()))
+
+
+@pytest.mark.parametrize("compression", [None, "snappy", "gzip"])
+def test_read_sql_query_ctas_write_compression(path, glue_database, glue_table, compression):
+    wr.catalog.delete_table_if_exists(database=glue_database, table=glue_table)
+    wr.s3.to_parquet(
+        df=get_df(),
+        path=path,
+        index=True,
+        use_threads=True,
+        dataset=True,
+        mode="overwrite",
+        database=glue_database,
+        table=glue_table,
+        partition_cols=["par0", "par1"],
+    )
+
+    with patch(
+        "awswrangler.athena._read.create_ctas_table", wraps=wr.athena.create_ctas_table
+    ) as mock_create_ctas_table:
+        wr.athena.read_sql_query(
+            sql=f"SELECT * FROM {glue_table}",
+            database=glue_database,
+            ctas_approach=True,
+            ctas_write_compression=compression,
+        )
+
+        mock_create_ctas_table.assert_called_once()
+
+        create_ctas_table_args = mock_create_ctas_table.call_args.kwargs
+        create_ctas_table_args["compression"] = compression