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Add categories arg to athena.read_sql_table #160 #165

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Merged
merged 1 commit into from
Apr 12, 2020
Merged

Add categories arg to athena.read_sql_table #160 #165

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5 changes: 5 additions & 0 deletions awswrangler/athena.py
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Original file line number Diff line number Diff line change
Expand Up @@ -563,6 +563,7 @@ def read_sql_table(
table: str,
database: str,
ctas_approach: bool = True,
categories: List[str] = None,
chunksize: Optional[int] = None,
s3_output: Optional[str] = None,
workgroup: Optional[str] = None,
Expand Down Expand Up @@ -614,6 +615,9 @@ def read_sql_table(
ctas_approach: bool
Wraps the query using a CTAS, and read the resulted parquet data on S3.
If false, read the regular CSV on S3.
categories: List[str], optional
List of columns names that should be returned as pandas.Categorical.
Recommended for memory restricted environments.
chunksize: int, optional
If specified, return an generator where chunksize is the number of rows to include in each chunk.
s3_output : str, optional
Expand Down Expand Up @@ -645,6 +649,7 @@ def read_sql_table(
sql=f'SELECT * FROM "{table}"',
database=database,
ctas_approach=ctas_approach,
categories=categories,
chunksize=chunksize,
s3_output=s3_output,
workgroup=workgroup,
Expand Down
2 changes: 2 additions & 0 deletions testing/test_awswrangler/test_data_lake.py
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Expand Up @@ -646,6 +646,8 @@ def test_category(bucket, database):
ensure_data_types_category(df2)
df2 = wr.athena.read_sql_query("SELECT * FROM test_category", database=database, categories=list(df.columns))
ensure_data_types_category(df2)
df2 = wr.athena.read_sql_table(table="test_category", database=database, categories=list(df.columns))
ensure_data_types_category(df2)
df2 = wr.athena.read_sql_query(
"SELECT * FROM test_category", database=database, categories=list(df.columns), ctas_approach=False
)
Expand Down