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from tests.dialects.test_dialect import Validator
class TestSpark(Validator):
dialect = "spark"
def test_ddl(self):
self.validate_identity("CREATE TABLE foo (col VARCHAR(50))")
self.validate_identity("CREATE TABLE foo (col STRUCT<struct_col_a: VARCHAR((50))>)")
self.validate_all(
"CREATE TABLE db.example_table (col_a struct<struct_col_a:int, struct_col_b:string>)",
write={
"duckdb": "CREATE TABLE db.example_table (col_a STRUCT(struct_col_a INT, struct_col_b TEXT))",
"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>>)",
"duckdb": "CREATE TABLE db.example_table (col_a STRUCT(struct_col_a INT, struct_col_b STRUCT(nested_col_a TEXT, nested_col_b TEXT)))",
"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>>)",
"duckdb": "CREATE TABLE db.example_table (col_a INT[], col_b INT[][])",
"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>>)",
"snowflake": "CREATE TABLE db.example_table (col_a ARRAY, col_b ARRAY)",
},
)
self.validate_all(
"CREATE TABLE x USING ICEBERG PARTITIONED BY (MONTHS(y)) LOCATION 's3://z'",
write={
"duckdb": "CREATE TABLE x",
"presto": "CREATE TABLE x WITH (FORMAT='ICEBERG', PARTITIONED_BY=ARRAY['MONTHS'])",
"hive": "CREATE TABLE x STORED AS 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={
"duckdb": "CREATE TABLE test AS SELECT 1",
"presto": "CREATE TABLE test WITH (FORMAT='PARQUET') AS SELECT 1",
"hive": "CREATE TABLE test STORED AS PARQUET AS SELECT 1",
"spark": "CREATE TABLE test USING 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={
"duckdb": """CREATE TABLE blah (
col_a INT
)""", # Partition columns should exist in table
"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
)
USING ICEBERG
TBLPROPERTIES (
'x'='1'
)""",
},
pretty=True,
)
self.validate_all(
"CACHE TABLE testCache OPTIONS ('storageLevel' 'DISK_ONLY') SELECT * FROM testData",
write={
"spark": "CACHE TABLE testCache OPTIONS('storageLevel' = 'DISK_ONLY') AS SELECT * FROM testData"
},
)
self.validate_all(
"ALTER TABLE StudentInfo ADD COLUMNS (LastName STRING, DOB TIMESTAMP)",
write={
"spark": "ALTER TABLE StudentInfo ADD COLUMNS (LastName STRING, DOB TIMESTAMP)",
},
)
self.validate_all(
"ALTER TABLE StudentInfo DROP COLUMNS (LastName, DOB)",
write={
"spark": "ALTER TABLE StudentInfo DROP COLUMNS (LastName, DOB)",
},
)
self.validate_all(
"CREATE TABLE x USING ICEBERG PARTITIONED BY (MONTHS(y)) LOCATION 's3://z'",
identify=True,
write={
"spark": "CREATE TABLE `x` USING ICEBERG PARTITIONED BY (MONTHS(`y`)) LOCATION 's3://z'",
},
)
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",
"bigquery": "SELECT * FROM x",
},
)
self.validate_all(
"SELECT /*+ COALESCE(3), REPARTITION(1) */ * FROM x",
write={
"spark": "SELECT /*+ COALESCE(3), REPARTITION(1) */ * FROM x",
"bigquery": "SELECT * FROM x",
},
)
self.validate_all(
"SELECT /*+ BROADCAST(table) */ cola FROM table",
write={
"spark": "SELECT /*+ BROADCAST(table) */ cola FROM table",
"bigquery": "SELECT cola FROM table",
},
)
self.validate_all(
"SELECT /*+ BROADCASTJOIN(table) */ cola FROM table",
write={
"spark": "SELECT /*+ BROADCASTJOIN(table) */ cola FROM table",
"bigquery": "SELECT cola FROM table",
},
)
self.validate_all(
"SELECT /*+ MAPJOIN(table) */ cola FROM table",
write={
"spark": "SELECT /*+ MAPJOIN(table) */ cola FROM table",
"bigquery": "SELECT cola FROM table",
},
)
self.validate_all(
"SELECT /*+ MERGE(table) */ cola FROM table",
write={
"spark": "SELECT /*+ MERGE(table) */ cola FROM table",
"bigquery": "SELECT cola FROM table",
},
)
self.validate_all(
"SELECT /*+ SHUFFLEMERGE(table) */ cola FROM table",
write={
"spark": "SELECT /*+ SHUFFLEMERGE(table) */ cola FROM table",
"bigquery": "SELECT cola FROM table",
},
)
self.validate_all(
"SELECT /*+ MERGEJOIN(table) */ cola FROM table",
write={
"spark": "SELECT /*+ MERGEJOIN(table) */ cola FROM table",
"bigquery": "SELECT cola FROM table",
},
)
self.validate_all(
"SELECT /*+ SHUFFLE_HASH(table) */ cola FROM table",
write={
"spark": "SELECT /*+ SHUFFLE_HASH(table) */ cola FROM table",
"bigquery": "SELECT cola FROM table",
},
)
self.validate_all(
"SELECT /*+ SHUFFLE_REPLICATE_NL(table) */ cola FROM table",
write={
"spark": "SELECT /*+ SHUFFLE_REPLICATE_NL(table) */ cola FROM table",
"bigquery": "SELECT cola FROM table",
},
)
def test_spark(self):
self.validate_identity("INTERVAL -86 days")
self.validate_identity("SELECT UNIX_TIMESTAMP()")
self.validate_identity("TRIM(' SparkSQL ')")
self.validate_identity("TRIM(BOTH 'SL' FROM 'SSparkSQLS')")
self.validate_identity("TRIM(LEADING 'SL' FROM 'SSparkSQLS')")
self.validate_identity("TRIM(TRAILING 'SL' FROM 'SSparkSQLS')")
self.validate_identity("SPLIT(str, pattern, lim)")
self.validate_all(
"SELECT * FROM ((VALUES 1))", write={"spark": "SELECT * FROM (VALUES (1))"}
)
self.validate_all(
"SELECT CAST(STRUCT('fooo') AS STRUCT<a: VARCHAR(2)>)",
write={"spark": "SELECT CAST(STRUCT('fooo') AS STRUCT<a: STRING>)"},
)
self.validate_all(
"SELECT CAST(123456 AS VARCHAR(3))",
write={
"": "SELECT TRY_CAST(123456 AS TEXT)",
"spark": "SELECT CAST(123456 AS STRING)",
},
)
self.validate_all(
"SELECT piv.Q1 FROM (SELECT * FROM produce PIVOT(SUM(sales) FOR quarter IN ('Q1', 'Q2'))) AS piv",
read={
"snowflake": "SELECT piv.Q1 FROM produce PIVOT(SUM(sales) FOR quarter IN ('Q1', 'Q2')) piv",
},
)
self.validate_all(
"SELECT piv.Q1 FROM (SELECT * FROM (SELECT * FROM produce) PIVOT(SUM(sales) FOR quarter IN ('Q1', 'Q2'))) AS piv",
read={
"snowflake": "SELECT piv.Q1 FROM (SELECT * FROM produce) PIVOT(SUM(sales) FOR quarter IN ('Q1', 'Q2')) piv",
},
)
self.validate_all(
"SELECT * FROM produce PIVOT(SUM(produce.sales) FOR quarter IN ('Q1', 'Q2'))",
read={
"snowflake": "SELECT * FROM produce PIVOT (SUM(produce.sales) FOR produce.quarter IN ('Q1', 'Q2'))",
},
)
self.validate_all(
"SELECT * FROM produce AS p PIVOT(SUM(p.sales) AS sales FOR quarter IN ('Q1' AS Q1, 'Q2' AS Q1))",
read={
"bigquery": "SELECT * FROM produce AS p PIVOT(SUM(p.sales) AS sales FOR p.quarter IN ('Q1' AS Q1, 'Q2' AS Q1))",
},
)
self.validate_all(
"SELECT DATEDIFF(MONTH, '2020-01-01', '2020-03-05')",
write={
"databricks": "SELECT DATEDIFF(MONTH, TO_DATE('2020-01-01'), TO_DATE('2020-03-05'))",
"hive": "SELECT MONTHS_BETWEEN(TO_DATE('2020-03-05'), TO_DATE('2020-01-01'))",
"presto": "SELECT DATE_DIFF('MONTH', CAST(SUBSTR(CAST('2020-01-01' AS VARCHAR), 1, 10) AS DATE), CAST(SUBSTR(CAST('2020-03-05' AS VARCHAR), 1, 10) AS DATE))",
"spark": "SELECT DATEDIFF(MONTH, TO_DATE('2020-01-01'), TO_DATE('2020-03-05'))",
"spark2": "SELECT MONTHS_BETWEEN(TO_DATE('2020-03-05'), TO_DATE('2020-01-01'))",
"trino": "SELECT DATE_DIFF('MONTH', CAST(SUBSTR(CAST('2020-01-01' AS VARCHAR), 1, 10) AS DATE), CAST(SUBSTR(CAST('2020-03-05' AS VARCHAR), 1, 10) AS DATE))",
},
)
for data_type in ("BOOLEAN", "DATE", "DOUBLE", "FLOAT", "INT", "TIMESTAMP"):
self.validate_all(
f"{data_type}(x)",
write={
"": f"CAST(x AS {data_type})",
"spark": f"CAST(x AS {data_type})",
},
)
self.validate_all(
"STRING(x)",
write={
"": "CAST(x AS TEXT)",
"spark": "CAST(x AS STRING)",
},
)
self.validate_all(
"CAST(x AS TIMESTAMP)", read={"trino": "CAST(x AS TIMESTAMP(6) WITH TIME ZONE)"}
)
self.validate_all(
"SELECT DATE_ADD(my_date_column, 1)",
write={
"spark": "SELECT DATE_ADD(my_date_column, 1)",
"bigquery": "SELECT DATE_ADD(my_date_column, INTERVAL 1 DAY)",
},
)
self.validate_all(
"AGGREGATE(my_arr, 0, (acc, x) -> acc + x, s -> s * 2)",
write={
"trino": "REDUCE(my_arr, 0, (acc, x) -> acc + x, s -> s * 2)",
"duckdb": "REDUCE(my_arr, 0, (acc, x) -> acc + x, s -> s * 2)",
"hive": "REDUCE(my_arr, 0, (acc, x) -> acc + x, s -> s * 2)",
"presto": "REDUCE(my_arr, 0, (acc, x) -> acc + x, s -> s * 2)",
"spark": "AGGREGATE(my_arr, 0, (acc, x) -> acc + x, s -> s * 2)",
},
)
self.validate_all(
"TRIM('SL', 'SSparkSQLS')", write={"spark": "TRIM('SL' FROM 'SSparkSQLS')"}
)
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, lname NULLS FIRST",
"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 LEFT(x, 2), RIGHT(x, 2)",
"presto": "SELECT SUBSTRING(x, 1, 2), SUBSTRING(x, LENGTH(x) - (2 - 1))",
"hive": "SELECT SUBSTRING(x, 1, 2), SUBSTRING(x, LENGTH(x) - (2 - 1))",
"spark": "SELECT LEFT(x, 2), RIGHT(x, 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)",
"snowflake": "OBJECT_CONSTRUCT([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)",
},
)
def test_iif(self):
self.validate_all(
"SELECT IIF(cond, 'True', 'False')",
write={"spark": "SELECT IF(cond, 'True', 'False')"},
)
def test_bool_or(self):
self.validate_all(
"SELECT a, LOGICAL_OR(b) FROM table GROUP BY a",
write={"spark": "SELECT a, BOOL_OR(b) FROM table GROUP BY a"},
)
def test_current_user(self):
self.validate_all(
"CURRENT_USER",
write={"spark": "CURRENT_USER()"},
)
self.validate_all(
"CURRENT_USER()",
write={"spark": "CURRENT_USER()"},
)
|
