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from tests.dialects.test_dialect import Validator
class TestSpark(Validator):
dialect = "spark"
def test_ddl(self):
self.validate_all(
"CREATE TABLE db.example_table (col_a struct<struct_col_a:int, struct_col_b:string>)",
write={
"presto": "CREATE TABLE db.example_table (col_a ROW(struct_col_a INTEGER, struct_col_b VARCHAR))",
"hive": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a INT, struct_col_b STRING>)",
"spark": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a: INT, struct_col_b: STRING>)",
},
)
self.validate_all(
"CREATE TABLE db.example_table (col_a struct<struct_col_a:int, struct_col_b:struct<nested_col_a:string, nested_col_b:string>>)",
write={
"bigquery": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a INT64, struct_col_b STRUCT<nested_col_a STRING, nested_col_b STRING>>)",
"presto": "CREATE TABLE db.example_table (col_a ROW(struct_col_a INTEGER, struct_col_b ROW(nested_col_a VARCHAR, nested_col_b VARCHAR)))",
"hive": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a INT, struct_col_b STRUCT<nested_col_a STRING, nested_col_b STRING>>)",
"spark": "CREATE TABLE db.example_table (col_a STRUCT<struct_col_a: INT, struct_col_b: STRUCT<nested_col_a: STRING, nested_col_b: STRING>>)",
},
)
self.validate_all(
"CREATE TABLE db.example_table (col_a array<int>, col_b array<array<int>>)",
write={
"bigquery": "CREATE TABLE db.example_table (col_a ARRAY<INT64>, col_b ARRAY<ARRAY<INT64>>)",
"presto": "CREATE TABLE db.example_table (col_a ARRAY(INTEGER), col_b ARRAY(ARRAY(INTEGER)))",
"hive": "CREATE TABLE db.example_table (col_a ARRAY<INT>, col_b ARRAY<ARRAY<INT>>)",
"spark": "CREATE TABLE db.example_table (col_a ARRAY<INT>, col_b ARRAY<ARRAY<INT>>)",
},
)
self.validate_all(
"CREATE TABLE x USING ICEBERG PARTITIONED BY (MONTHS(y)) LOCATION 's3://z'",
write={
"presto": "CREATE TABLE x WITH (TABLE_FORMAT = 'ICEBERG', PARTITIONED_BY = ARRAY['MONTHS'])",
"hive": "CREATE TABLE x USING ICEBERG PARTITIONED BY (MONTHS(y)) LOCATION 's3://z'",
"spark": "CREATE TABLE x USING ICEBERG PARTITIONED BY (MONTHS(y)) LOCATION 's3://z'",
},
)
self.validate_all(
"CREATE TABLE test STORED AS PARQUET AS SELECT 1",
write={
"presto": "CREATE TABLE test WITH (FORMAT = 'PARQUET') AS SELECT 1",
"hive": "CREATE TABLE test STORED AS PARQUET AS SELECT 1",
"spark": "CREATE TABLE test STORED AS PARQUET AS SELECT 1",
},
)
self.validate_all(
"CREATE TABLE test USING ICEBERG STORED AS PARQUET AS SELECT 1",
write={
"presto": "CREATE TABLE test WITH (TABLE_FORMAT = 'ICEBERG', FORMAT = 'PARQUET') AS SELECT 1",
"hive": "CREATE TABLE test USING ICEBERG STORED AS PARQUET AS SELECT 1",
"spark": "CREATE TABLE test USING ICEBERG STORED AS PARQUET AS SELECT 1",
},
)
self.validate_all(
"""CREATE TABLE blah (col_a INT) COMMENT "Test comment: blah" PARTITIONED BY (date STRING) STORED AS ICEBERG TBLPROPERTIES('x' = '1')""",
write={
"presto": """CREATE TABLE blah (
col_a INTEGER,
date VARCHAR
)
COMMENT='Test comment: blah'
WITH (
PARTITIONED_BY = ARRAY['date'],
FORMAT = 'ICEBERG',
x = '1'
)""",
"hive": """CREATE TABLE blah (
col_a INT
)
COMMENT 'Test comment: blah'
PARTITIONED BY (
date STRING
)
STORED AS ICEBERG
TBLPROPERTIES (
'x' = '1'
)""",
"spark": """CREATE TABLE blah (
col_a INT
)
COMMENT 'Test comment: blah'
PARTITIONED BY (
date STRING
)
STORED AS ICEBERG
TBLPROPERTIES (
'x' = '1'
)""",
},
pretty=True,
)
def test_to_date(self):
self.validate_all(
"TO_DATE(x, 'yyyy-MM-dd')",
write={
"duckdb": "CAST(x AS DATE)",
"hive": "TO_DATE(x)",
"presto": "CAST(SUBSTR(CAST(x AS VARCHAR), 1, 10) AS DATE)",
"spark": "TO_DATE(x)",
},
)
self.validate_all(
"TO_DATE(x, 'yyyy')",
write={
"duckdb": "CAST(STRPTIME(x, '%Y') AS DATE)",
"hive": "TO_DATE(x, 'yyyy')",
"presto": "CAST(DATE_PARSE(x, '%Y') AS DATE)",
"spark": "TO_DATE(x, 'yyyy')",
},
)
def test_hint(self):
self.validate_all(
"SELECT /*+ COALESCE(3) */ * FROM x",
write={
"spark": "SELECT /*+ COALESCE(3) */ * FROM x",
},
)
self.validate_all(
"SELECT /*+ COALESCE(3), REPARTITION(1) */ * FROM x",
write={
"spark": "SELECT /*+ COALESCE(3), REPARTITION(1) */ * FROM x",
},
)
def test_spark(self):
self.validate_all(
"ARRAY_SORT(x, (left, right) -> -1)",
write={
"duckdb": "ARRAY_SORT(x)",
"presto": "ARRAY_SORT(x, (left, right) -> -1)",
"hive": "SORT_ARRAY(x)",
"spark": "ARRAY_SORT(x, (left, right) -> -1)",
},
)
self.validate_all(
"ARRAY(0, 1, 2)",
write={
"bigquery": "[0, 1, 2]",
"duckdb": "LIST_VALUE(0, 1, 2)",
"presto": "ARRAY[0, 1, 2]",
"hive": "ARRAY(0, 1, 2)",
"spark": "ARRAY(0, 1, 2)",
},
)
self.validate_all(
"SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname ASC NULLS LAST, lname",
write={
"clickhouse": "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname, lname NULLS FIRST",
"duckdb": "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname NULLS LAST, lname",
"postgres": "SELECT fname, lname, age FROM person ORDER BY age DESC, fname, lname NULLS FIRST",
"presto": "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname, lname NULLS FIRST",
"hive": "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname NULLS LAST, lname",
"spark": "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname NULLS LAST, lname",
"snowflake": "SELECT fname, lname, age FROM person ORDER BY age DESC, fname, lname NULLS FIRST",
},
)
self.validate_all(
"SELECT APPROX_COUNT_DISTINCT(a) FROM foo",
write={
"duckdb": "SELECT APPROX_COUNT_DISTINCT(a) FROM foo",
"presto": "SELECT APPROX_DISTINCT(a) FROM foo",
"hive": "SELECT APPROX_COUNT_DISTINCT(a) FROM foo",
"spark": "SELECT APPROX_COUNT_DISTINCT(a) FROM foo",
},
)
self.validate_all(
"MONTH('2021-03-01')",
write={
"duckdb": "MONTH(CAST('2021-03-01' AS DATE))",
"presto": "MONTH(CAST(SUBSTR(CAST('2021-03-01' AS VARCHAR), 1, 10) AS DATE))",
"hive": "MONTH(TO_DATE('2021-03-01'))",
"spark": "MONTH(TO_DATE('2021-03-01'))",
},
)
self.validate_all(
"YEAR('2021-03-01')",
write={
"duckdb": "YEAR(CAST('2021-03-01' AS DATE))",
"presto": "YEAR(CAST(SUBSTR(CAST('2021-03-01' AS VARCHAR), 1, 10) AS DATE))",
"hive": "YEAR(TO_DATE('2021-03-01'))",
"spark": "YEAR(TO_DATE('2021-03-01'))",
},
)
self.validate_all(
"'\u6bdb'",
write={
"duckdb": "'毛'",
"presto": "'毛'",
"hive": "'毛'",
"spark": "'毛'",
},
)
self.validate_all(
"SELECT LEFT(x, 2), RIGHT(x, 2)",
write={
"duckdb": "SELECT SUBSTRING(x, 1, 2), SUBSTRING(x, LENGTH(x) - 2 + 1, 2)",
"presto": "SELECT SUBSTRING(x, 1, 2), SUBSTRING(x, LENGTH(x) - 2 + 1, 2)",
"hive": "SELECT SUBSTRING(x, 1, 2), SUBSTRING(x, LENGTH(x) - 2 + 1, 2)",
"spark": "SELECT SUBSTRING(x, 1, 2), SUBSTRING(x, LENGTH(x) - 2 + 1, 2)",
},
)
self.validate_all(
"MAP_FROM_ARRAYS(ARRAY(1), c)",
write={
"duckdb": "MAP(LIST_VALUE(1), c)",
"presto": "MAP(ARRAY[1], c)",
"hive": "MAP(ARRAY(1), c)",
"spark": "MAP_FROM_ARRAYS(ARRAY(1), c)",
},
)
self.validate_all(
"SELECT ARRAY_SORT(x)",
write={
"duckdb": "SELECT ARRAY_SORT(x)",
"presto": "SELECT ARRAY_SORT(x)",
"hive": "SELECT SORT_ARRAY(x)",
"spark": "SELECT ARRAY_SORT(x)",
},
)
|
