from sqlglot import ErrorLevel, UnsupportedError, exp, parse_one, transpile from tests.dialects.test_dialect import Validator class TestDuckDB(Validator): dialect = "duckdb" def test_duckdb(self): self.validate_identity("[x.STRING_SPLIT(' ')[1] FOR x IN ['1', '2', 3] IF x.CONTAINS('1')]") self.validate_identity("INSERT INTO x BY NAME SELECT 1 AS y") self.validate_identity("SELECT 1 AS x UNION ALL BY NAME SELECT 2 AS x") self.validate_identity("SELECT SUM(x) FILTER (x = 1)", "SELECT SUM(x) FILTER(WHERE x = 1)") # https://github.com/duckdb/duckdb/releases/tag/v0.8.0 self.assertEqual( parse_one("a / b", read="duckdb").assert_is(exp.Div).sql(dialect="duckdb"), "a / b" ) self.assertEqual( parse_one("a // b", read="duckdb").assert_is(exp.IntDiv).sql(dialect="duckdb"), "a // b" ) self.validate_identity("VAR_POP(a)") self.validate_identity("SELECT * FROM foo ASOF LEFT JOIN bar ON a = b") self.validate_identity("PIVOT Cities ON Year USING SUM(Population)") self.validate_identity("PIVOT Cities ON Year USING FIRST(Population)") self.validate_identity("PIVOT Cities ON Year USING SUM(Population) GROUP BY Country") self.validate_identity("PIVOT Cities ON Country, Name USING SUM(Population)") self.validate_identity("PIVOT Cities ON Country || '_' || Name USING SUM(Population)") self.validate_identity("PIVOT Cities ON Year USING SUM(Population) GROUP BY Country, Name") self.validate_identity("SELECT {'a': 1} AS x") self.validate_identity("SELECT {'a': {'b': {'c': 1}}, 'd': {'e': 2}} AS x") self.validate_identity("SELECT {'x': 1, 'y': 2, 'z': 3}") self.validate_identity("SELECT {'key1': 'string', 'key2': 1, 'key3': 12.345}") self.validate_identity("SELECT ROW(x, x + 1, y) FROM (SELECT 1 AS x, 'a' AS y)") self.validate_identity("SELECT (x, x + 1, y) FROM (SELECT 1 AS x, 'a' AS y)") self.validate_identity("SELECT a.x FROM (SELECT {'x': 1, 'y': 2, 'z': 3} AS a)") self.validate_identity("ATTACH DATABASE ':memory:' AS new_database") self.validate_identity("FROM x SELECT x UNION SELECT 1", "SELECT x FROM x UNION SELECT 1") self.validate_identity("FROM (FROM tbl)", "SELECT * FROM (SELECT * FROM tbl)") self.validate_identity("FROM tbl", "SELECT * FROM tbl") self.validate_identity( "SELECT {'yes': 'duck', 'maybe': 'goose', 'huh': NULL, 'no': 'heron'}" ) self.validate_identity( "SELECT a['x space'] FROM (SELECT {'x space': 1, 'y': 2, 'z': 3} AS a)" ) self.validate_identity( "PIVOT Cities ON Year IN (2000, 2010) USING SUM(Population) GROUP BY Country" ) self.validate_identity( "PIVOT Cities ON Year USING SUM(Population) AS total, MAX(Population) AS max GROUP BY Country" ) self.validate_identity( "WITH pivot_alias AS (PIVOT Cities ON Year USING SUM(Population) GROUP BY Country) SELECT * FROM pivot_alias" ) self.validate_identity( "SELECT * FROM (PIVOT Cities ON Year USING SUM(Population) GROUP BY Country) AS pivot_alias" ) self.validate_all("0b1010", write={"": "0 AS b1010"}) self.validate_all("0x1010", write={"": "0 AS x1010"}) self.validate_all("x ~ y", write={"duckdb": "REGEXP_MATCHES(x, y)"}) self.validate_all("SELECT * FROM 'x.y'", write={"duckdb": 'SELECT * FROM "x.y"'}) self.validate_all( "VAR_POP(x)", read={ "": "VARIANCE_POP(x)", }, write={ "": "VARIANCE_POP(x)", }, ) self.validate_all( "DATE_DIFF('day', CAST(b AS DATE), CAST(a AS DATE))", read={ "duckdb": "DATE_DIFF('day', CAST(b AS DATE), CAST(a AS DATE))", "hive": "DATEDIFF(a, b)", "spark": "DATEDIFF(a, b)", "spark2": "DATEDIFF(a, b)", }, ) self.validate_all( "XOR(a, b)", read={ "": "a ^ b", "bigquery": "a ^ b", "presto": "BITWISE_XOR(a, b)", "postgres": "a # b", }, write={ "": "a ^ b", "bigquery": "a ^ b", "duckdb": "XOR(a, b)", "presto": "BITWISE_XOR(a, b)", "postgres": "a # b", }, ) self.validate_all( "PIVOT_WIDER Cities ON Year USING SUM(Population)", write={"duckdb": "PIVOT Cities ON Year USING SUM(Population)"}, ) self.validate_all( "WITH t AS (SELECT 1) FROM t", write={"duckdb": "WITH t AS (SELECT 1) SELECT * FROM t"} ) self.validate_all( "WITH t AS (SELECT 1) SELECT * FROM (FROM t)", write={"duckdb": "WITH t AS (SELECT 1) SELECT * FROM (SELECT * FROM t)"}, ) self.validate_all( """SELECT DATEDIFF('day', t1."A", t1."B") FROM "table" AS t1""", write={ "duckdb": """SELECT DATE_DIFF('day', t1."A", t1."B") FROM "table" AS t1""", "trino": """SELECT DATE_DIFF('day', t1."A", t1."B") FROM "table" AS t1""", }, ) self.validate_all( "SELECT DATE_DIFF('day', DATE '2020-01-01', DATE '2020-01-05')", write={ "duckdb": "SELECT DATE_DIFF('day', CAST('2020-01-01' AS DATE), CAST('2020-01-05' AS DATE))", "trino": "SELECT DATE_DIFF('day', CAST('2020-01-01' AS DATE), CAST('2020-01-05' AS DATE))", }, ) self.validate_all( "WITH 'x' AS (SELECT 1) SELECT * FROM x", write={"duckdb": 'WITH "x" AS (SELECT 1) SELECT * FROM x'}, ) self.validate_all( "CREATE TABLE IF NOT EXISTS table (cola INT, colb STRING) USING ICEBERG PARTITIONED BY (colb)", write={ "duckdb": "CREATE TABLE IF NOT EXISTS table (cola INT, colb TEXT)", }, ) self.validate_all( "CREATE TABLE IF NOT EXISTS table (cola INT COMMENT 'cola', colb STRING) USING ICEBERG PARTITIONED BY (colb)", write={ "duckdb": "CREATE TABLE IF NOT EXISTS table (cola INT, colb TEXT)", }, ) self.validate_all( "[0, 1, 2]", read={ "spark": "ARRAY(0, 1, 2)", }, write={ "bigquery": "[0, 1, 2]", "duckdb": "[0, 1, 2]", "presto": "ARRAY[0, 1, 2]", "spark": "ARRAY(0, 1, 2)", }, ) self.validate_all( "SELECT ARRAY_LENGTH([0], 1) AS x", write={"duckdb": "SELECT ARRAY_LENGTH([0], 1) AS x"}, ) self.validate_all( "REGEXP_MATCHES(x, y)", write={ "duckdb": "REGEXP_MATCHES(x, y)", "presto": "REGEXP_LIKE(x, y)", "hive": "x RLIKE y", "spark": "x RLIKE y", }, ) self.validate_all( "STR_SPLIT(x, 'a')", write={ "duckdb": "STR_SPLIT(x, 'a')", "presto": "SPLIT(x, 'a')", "hive": "SPLIT(x, CONCAT('\\\\Q', 'a'))", "spark": "SPLIT(x, CONCAT('\\\\Q', 'a'))", }, ) self.validate_all( "STRING_TO_ARRAY(x, 'a')", write={ "duckdb": "STR_SPLIT(x, 'a')", "presto": "SPLIT(x, 'a')", "hive": "SPLIT(x, CONCAT('\\\\Q', 'a'))", "spark": "SPLIT(x, CONCAT('\\\\Q', 'a'))", }, ) self.validate_all( "STR_SPLIT_REGEX(x, 'a')", write={ "duckdb": "STR_SPLIT_REGEX(x, 'a')", "presto": "REGEXP_SPLIT(x, 'a')", "hive": "SPLIT(x, 'a')", "spark": "SPLIT(x, 'a')", }, ) self.validate_all( "STRUCT_EXTRACT(x, 'abc')", write={ "duckdb": "STRUCT_EXTRACT(x, 'abc')", "presto": "x.abc", "hive": "x.abc", "spark": "x.abc", }, ) self.validate_all( "STRUCT_EXTRACT(STRUCT_EXTRACT(x, 'y'), 'abc')", write={ "duckdb": "STRUCT_EXTRACT(STRUCT_EXTRACT(x, 'y'), 'abc')", "presto": "x.y.abc", "hive": "x.y.abc", "spark": "x.y.abc", }, ) self.validate_all( "QUANTILE(x, 0.5)", write={ "duckdb": "QUANTILE(x, 0.5)", "presto": "APPROX_PERCENTILE(x, 0.5)", "hive": "PERCENTILE(x, 0.5)", "spark": "PERCENTILE(x, 0.5)", }, ) self.validate_all( "UNNEST(x)", read={ "spark": "EXPLODE(x)", }, write={ "duckdb": "UNNEST(x)", "spark": "EXPLODE(x)", }, ) self.validate_all( "1d", write={ "duckdb": "1 AS d", "spark": "1 AS d", }, ) self.validate_all( "POWER(TRY_CAST(2 AS SMALLINT), 3)", read={ "hive": "POW(2S, 3)", "spark": "POW(2S, 3)", }, ) self.validate_all( "LIST_SUM([1, 2])", read={ "spark": "ARRAY_SUM(ARRAY(1, 2))", }, ) self.validate_all( "IF(y <> 0, x / y, NULL)", read={ "bigquery": "SAFE_DIVIDE(x, y)", }, ) self.validate_all( "STRUCT_PACK(x := 1, y := '2')", write={ "duckdb": "{'x': 1, 'y': '2'}", "spark": "STRUCT(x = 1, y = '2')", }, ) self.validate_all( "STRUCT_PACK(key1 := 'value1', key2 := 42)", write={ "duckdb": "{'key1': 'value1', 'key2': 42}", "spark": "STRUCT(key1 = 'value1', key2 = 42)", }, ) self.validate_all( "ARRAY_SORT(x)", write={ "duckdb": "ARRAY_SORT(x)", "presto": "ARRAY_SORT(x)", "hive": "SORT_ARRAY(x)", "spark": "SORT_ARRAY(x)", }, ) self.validate_all( "ARRAY_REVERSE_SORT(x)", write={ "duckdb": "ARRAY_REVERSE_SORT(x)", "presto": "ARRAY_SORT(x, (a, b) -> CASE WHEN a < b THEN 1 WHEN a > b THEN -1 ELSE 0 END)", "hive": "SORT_ARRAY(x, FALSE)", "spark": "SORT_ARRAY(x, FALSE)", }, ) self.validate_all( "LIST_REVERSE_SORT(x)", write={ "duckdb": "ARRAY_REVERSE_SORT(x)", "presto": "ARRAY_SORT(x, (a, b) -> CASE WHEN a < b THEN 1 WHEN a > b THEN -1 ELSE 0 END)", "hive": "SORT_ARRAY(x, FALSE)", "spark": "SORT_ARRAY(x, FALSE)", }, ) self.validate_all( "LIST_SORT(x)", write={ "duckdb": "ARRAY_SORT(x)", "presto": "ARRAY_SORT(x)", "hive": "SORT_ARRAY(x)", "spark": "SORT_ARRAY(x)", }, ) self.validate_all( "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname ASC NULLS LAST, lname", write={ "": "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname NULLS LAST, lname NULLS LAST", "duckdb": "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname, lname", }, ) self.validate_all( "MONTH('2021-03-01')", write={ "duckdb": "MONTH('2021-03-01')", "presto": "MONTH('2021-03-01')", "hive": "MONTH('2021-03-01')", "spark": "MONTH('2021-03-01')", }, ) self.validate_all( "ARRAY_CONCAT([1, 2], [3, 4])", read={ "bigquery": "ARRAY_CONCAT([1, 2], [3, 4])", "postgres": "ARRAY_CAT(ARRAY[1, 2], ARRAY[3, 4])", "snowflake": "ARRAY_CAT([1, 2], [3, 4])", }, write={ "bigquery": "ARRAY_CONCAT([1, 2], [3, 4])", "duckdb": "ARRAY_CONCAT([1, 2], [3, 4])", "hive": "CONCAT(ARRAY(1, 2), ARRAY(3, 4))", "postgres": "ARRAY_CAT(ARRAY[1, 2], ARRAY[3, 4])", "presto": "CONCAT(ARRAY[1, 2], ARRAY[3, 4])", "snowflake": "ARRAY_CAT([1, 2], [3, 4])", "spark": "CONCAT(ARRAY(1, 2), ARRAY(3, 4))", }, ) self.validate_all( "SELECT CAST(CAST(x AS DATE) AS DATE) + INTERVAL 1 DAY", read={ "hive": "SELECT DATE_ADD(TO_DATE(x), 1)", }, ) self.validate_all( "SELECT CAST('2020-05-06' AS DATE) - INTERVAL 5 DAY", read={"bigquery": "SELECT DATE_SUB(CAST('2020-05-06' AS DATE), INTERVAL 5 DAY)"}, ) self.validate_all( "SELECT CAST('2020-05-06' AS DATE) + INTERVAL 5 DAY", read={"bigquery": "SELECT DATE_ADD(CAST('2020-05-06' AS DATE), INTERVAL 5 DAY)"}, ) self.validate_all( "SELECT QUANTILE_CONT(x, q) FROM t", write={ "duckdb": "SELECT QUANTILE_CONT(x, q) FROM t", "postgres": "SELECT PERCENTILE_CONT(q) WITHIN GROUP (ORDER BY x) FROM t", }, ) self.validate_all( "SELECT QUANTILE_DISC(x, q) FROM t", write={ "duckdb": "SELECT QUANTILE_DISC(x, q) FROM t", "postgres": "SELECT PERCENTILE_DISC(q) WITHIN GROUP (ORDER BY x) FROM t", }, ) self.validate_all( "SELECT MEDIAN(x) FROM t", write={ "duckdb": "SELECT QUANTILE_CONT(x, 0.5) FROM t", "postgres": "SELECT PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY x) FROM t", }, ) with self.assertRaises(UnsupportedError): transpile( "SELECT REGEXP_EXTRACT(a, 'pattern', 1) from table", read="bigquery", write="duckdb", unsupported_level=ErrorLevel.IMMEDIATE, ) self.validate_identity("SELECT ISNAN(x)") def test_time(self): self.validate_identity("SELECT CURRENT_DATE") self.validate_identity("SELECT CURRENT_TIMESTAMP") self.validate_all( "SELECT MAKE_DATE(2016, 12, 25)", read={"bigquery": "SELECT DATE(2016, 12, 25)"} ) self.validate_all( "SELECT CAST(CAST('2016-12-25 23:59:59' AS DATETIME) AS DATE)", read={"bigquery": "SELECT DATE(DATETIME '2016-12-25 23:59:59')"}, ) self.validate_all( "SELECT STRPTIME(STRFTIME(CAST(CAST('2016-12-25' AS TIMESTAMPTZ) AS DATE), '%d/%m/%Y') || ' ' || 'America/Los_Angeles', '%d/%m/%Y %Z')", read={ "bigquery": "SELECT DATE(TIMESTAMP '2016-12-25', 'America/Los_Angeles')", }, ) self.validate_all( "SELECT CAST(CAST(STRPTIME('05/06/2020', '%m/%d/%Y') AS DATE) AS DATE)", read={"bigquery": "SELECT DATE(PARSE_DATE('%m/%d/%Y', '05/06/2020'))"}, ) self.validate_all( "SELECT CAST('2020-01-01' AS DATE) + INTERVAL (-1) DAY", read={"mysql": "SELECT DATE '2020-01-01' + INTERVAL -1 DAY"}, ) self.validate_all( "SELECT INTERVAL '1 quarter'", write={"duckdb": "SELECT (90 * INTERVAL '1' day)"}, ) self.validate_all( "SELECT ((DATE_TRUNC('DAY', CAST(CAST(DATE_TRUNC('DAY', CURRENT_TIMESTAMP) AS DATE) AS TIMESTAMP) + INTERVAL (0 - MOD((DAYOFWEEK(CAST(CAST(DATE_TRUNC('DAY', CURRENT_TIMESTAMP) AS DATE) AS TIMESTAMP)) % 7) - 1 + 7, 7)) day) + (7 * INTERVAL (-5) day))) AS t1", read={ "presto": "SELECT ((DATE_ADD('week', -5, DATE_TRUNC('DAY', DATE_ADD('day', (0 - MOD((DAY_OF_WEEK(CAST(CAST(DATE_TRUNC('DAY', NOW()) AS DATE) AS TIMESTAMP)) % 7) - 1 + 7, 7)), CAST(CAST(DATE_TRUNC('DAY', NOW()) AS DATE) AS TIMESTAMP)))))) AS t1", }, ) self.validate_all( "EPOCH(x)", read={ "presto": "TO_UNIXTIME(x)", }, write={ "bigquery": "TIME_TO_UNIX(x)", "duckdb": "EPOCH(x)", "presto": "TO_UNIXTIME(x)", "spark": "UNIX_TIMESTAMP(x)", }, ) self.validate_all( "EPOCH_MS(x)", write={ "bigquery": "UNIX_TO_TIME(x / 1000)", "duckdb": "TO_TIMESTAMP(x / 1000)", "presto": "FROM_UNIXTIME(x / 1000)", "spark": "CAST(FROM_UNIXTIME(x / 1000) AS TIMESTAMP)", }, ) self.validate_all( "STRFTIME(x, '%y-%-m-%S')", write={ "bigquery": "TIME_TO_STR(x, '%y-%-m-%S')", "duckdb": "STRFTIME(x, '%y-%-m-%S')", "postgres": "TO_CHAR(x, 'YY-FMMM-SS')", "presto": "DATE_FORMAT(x, '%y-%c-%s')", "spark": "DATE_FORMAT(x, 'yy-M-ss')", }, ) self.validate_all( "STRFTIME(x, '%Y-%m-%d %H:%M:%S')", write={ "duckdb": "STRFTIME(x, '%Y-%m-%d %H:%M:%S')", "presto": "DATE_FORMAT(x, '%Y-%m-%d %T')", "hive": "DATE_FORMAT(x, 'yyyy-MM-dd HH:mm:ss')", }, ) self.validate_all( "STRPTIME(x, '%y-%-m')", write={ "bigquery": "PARSE_TIMESTAMP('%y-%-m', x)", "duckdb": "STRPTIME(x, '%y-%-m')", "presto": "DATE_PARSE(x, '%y-%c')", "hive": "CAST(FROM_UNIXTIME(UNIX_TIMESTAMP(x, 'yy-M')) AS TIMESTAMP)", "spark": "TO_TIMESTAMP(x, 'yy-M')", }, ) self.validate_all( "TO_TIMESTAMP(x)", write={ "bigquery": "UNIX_TO_TIME(x)", "duckdb": "TO_TIMESTAMP(x)", "presto": "FROM_UNIXTIME(x)", "hive": "FROM_UNIXTIME(x)", }, ) self.validate_all( "STRPTIME(x, '%-m/%-d/%y %-I:%M %p')", write={ "bigquery": "PARSE_TIMESTAMP('%-m/%-d/%y %-I:%M %p', x)", "duckdb": "STRPTIME(x, '%-m/%-d/%y %-I:%M %p')", "presto": "DATE_PARSE(x, '%c/%e/%y %l:%i %p')", "hive": "CAST(FROM_UNIXTIME(UNIX_TIMESTAMP(x, 'M/d/yy h:mm a')) AS TIMESTAMP)", "spark": "TO_TIMESTAMP(x, 'M/d/yy h:mm a')", }, ) self.validate_all( "CAST(start AS TIMESTAMPTZ) AT TIME ZONE 'America/New_York'", read={ "snowflake": "CONVERT_TIMEZONE('America/New_York', CAST(start AS TIMESTAMPTZ))", }, write={ "bigquery": "TIMESTAMP(DATETIME(CAST(start AS TIMESTAMP), 'America/New_York'))", "duckdb": "CAST(start AS TIMESTAMPTZ) AT TIME ZONE 'America/New_York'", "snowflake": "CONVERT_TIMEZONE('America/New_York', CAST(start AS TIMESTAMPTZ))", }, ) def test_sample(self): self.validate_all( "SELECT * FROM tbl USING SAMPLE 5", write={"duckdb": "SELECT * FROM tbl USING SAMPLE (5)"}, ) self.validate_all( "SELECT * FROM tbl USING SAMPLE 10%", write={"duckdb": "SELECT * FROM tbl USING SAMPLE (10 PERCENT)"}, ) self.validate_all( "SELECT * FROM tbl USING SAMPLE 10 PERCENT (bernoulli)", write={"duckdb": "SELECT * FROM tbl USING SAMPLE BERNOULLI (10 PERCENT)"}, ) self.validate_all( "SELECT * FROM tbl USING SAMPLE reservoir(50 ROWS) REPEATABLE (100)", write={"duckdb": "SELECT * FROM tbl USING SAMPLE RESERVOIR (50 ROWS) REPEATABLE (100)"}, ) self.validate_all( "SELECT * FROM tbl USING SAMPLE 10% (system, 377)", write={"duckdb": "SELECT * FROM tbl USING SAMPLE SYSTEM (10 PERCENT) REPEATABLE (377)"}, ) self.validate_all( "SELECT * FROM tbl TABLESAMPLE RESERVOIR(20%), tbl2 WHERE tbl.i=tbl2.i", write={ "duckdb": "SELECT * FROM tbl TABLESAMPLE RESERVOIR (20 PERCENT), tbl2 WHERE tbl.i = tbl2.i" }, ) self.validate_all( "SELECT * FROM tbl, tbl2 WHERE tbl.i=tbl2.i USING SAMPLE RESERVOIR(20%)", write={ "duckdb": "SELECT * FROM tbl, tbl2 WHERE tbl.i = tbl2.i USING SAMPLE RESERVOIR (20 PERCENT)" }, ) def test_array(self): self.validate_identity("ARRAY(SELECT id FROM t)") self.validate_identity("ARRAY((SELECT id FROM t))") def test_cast(self): self.validate_identity("CAST(x AS REAL)") self.validate_identity("CAST(x AS UINTEGER)") self.validate_identity("CAST(x AS UBIGINT)") self.validate_identity("CAST(x AS USMALLINT)") self.validate_identity("CAST(x AS UTINYINT)") self.validate_identity("CAST(x AS TEXT)") self.validate_identity("CAST(x AS INT128)") self.validate_identity("CAST(x AS DOUBLE)") self.validate_identity("CAST(x AS DECIMAL(15, 4))") self.validate_identity("CAST(x AS STRUCT(number BIGINT))") self.validate_identity( "CAST(ROW(1, ROW(1)) AS STRUCT(number BIGINT, row STRUCT(number BIGINT)))" ) self.validate_all("CAST(x AS NUMERIC(1, 2))", write={"duckdb": "CAST(x AS DECIMAL(1, 2))"}) self.validate_all("CAST(x AS HUGEINT)", write={"duckdb": "CAST(x AS INT128)"}) self.validate_all("CAST(x AS CHAR)", write={"duckdb": "CAST(x AS TEXT)"}) self.validate_all("CAST(x AS BPCHAR)", write={"duckdb": "CAST(x AS TEXT)"}) self.validate_all("CAST(x AS STRING)", write={"duckdb": "CAST(x AS TEXT)"}) self.validate_all("CAST(x AS INT1)", write={"duckdb": "CAST(x AS TINYINT)"}) self.validate_all("CAST(x AS FLOAT4)", write={"duckdb": "CAST(x AS REAL)"}) self.validate_all("CAST(x AS FLOAT)", write={"duckdb": "CAST(x AS REAL)"}) self.validate_all("CAST(x AS INT4)", write={"duckdb": "CAST(x AS INT)"}) self.validate_all("CAST(x AS INTEGER)", write={"duckdb": "CAST(x AS INT)"}) self.validate_all("CAST(x AS SIGNED)", write={"duckdb": "CAST(x AS INT)"}) self.validate_all("CAST(x AS BLOB)", write={"duckdb": "CAST(x AS BLOB)"}) self.validate_all("CAST(x AS BYTEA)", write={"duckdb": "CAST(x AS BLOB)"}) self.validate_all("CAST(x AS BINARY)", write={"duckdb": "CAST(x AS BLOB)"}) self.validate_all("CAST(x AS VARBINARY)", write={"duckdb": "CAST(x AS BLOB)"}) self.validate_all("CAST(x AS LOGICAL)", write={"duckdb": "CAST(x AS BOOLEAN)"}) self.validate_all( "CAST(x AS NUMERIC)", write={ "duckdb": "CAST(x AS DECIMAL(18, 3))", "postgres": "CAST(x AS DECIMAL(18, 3))", }, ) self.validate_all( "CAST(x AS DECIMAL)", write={ "duckdb": "CAST(x AS DECIMAL(18, 3))", "postgres": "CAST(x AS DECIMAL(18, 3))", }, ) self.validate_all( "CAST(x AS BIT)", read={ "duckdb": "CAST(x AS BITSTRING)", }, write={ "duckdb": "CAST(x AS BIT)", "tsql": "CAST(x AS BIT)", }, ) self.validate_all( "123::CHARACTER VARYING", write={ "duckdb": "CAST(123 AS TEXT)", }, ) self.validate_all( "cast([[1]] as int[][])", write={ "duckdb": "CAST([[1]] AS INT[][])", "spark": "CAST(ARRAY(ARRAY(1)) AS ARRAY>)", }, ) self.validate_all( "CAST(x AS DATE) + INTERVAL (7 * -1) DAY", read={"spark": "DATE_SUB(x, 7)"} ) self.validate_all( "TRY_CAST(1 AS DOUBLE)", read={ "hive": "1d", "spark": "1d", }, ) self.validate_all( "CAST(x AS DATE)", write={ "duckdb": "CAST(x AS DATE)", "": "CAST(x AS DATE)", }, ) self.validate_all( "COL::BIGINT[]", write={ "duckdb": "CAST(COL AS BIGINT[])", "presto": "CAST(COL AS ARRAY(BIGINT))", "hive": "CAST(COL AS ARRAY)", "spark": "CAST(COL AS ARRAY)", "postgres": "CAST(COL AS BIGINT[])", "snowflake": "CAST(COL AS ARRAY)", }, ) self.validate_all( "CAST([STRUCT_PACK(a := 1)] AS STRUCT(a BIGINT)[])", write={ "duckdb": "CAST([{'a': 1}] AS STRUCT(a BIGINT)[])", }, ) self.validate_all( "CAST([[STRUCT_PACK(a := 1)]] AS STRUCT(a BIGINT)[][])", write={ "duckdb": "CAST([[{'a': 1}]] AS STRUCT(a BIGINT)[][])", }, ) def test_bool_or(self): self.validate_all( "SELECT a, LOGICAL_OR(b) FROM table GROUP BY a", write={"duckdb": "SELECT a, BOOL_OR(b) FROM table GROUP BY a"}, ) def test_encode_decode(self): self.validate_all( "ENCODE(x)", read={ "spark": "ENCODE(x, 'utf-8')", "presto": "TO_UTF8(x)", }, write={ "duckdb": "ENCODE(x)", "spark": "ENCODE(x, 'utf-8')", "presto": "TO_UTF8(x)", }, ) self.validate_all( "DECODE(x)", read={ "spark": "DECODE(x, 'utf-8')", "presto": "FROM_UTF8(x)", }, write={ "duckdb": "DECODE(x)", "spark": "DECODE(x, 'utf-8')", "presto": "FROM_UTF8(x)", }, ) self.validate_all( "DECODE(x)", read={ "presto": "FROM_UTF8(x, y)", }, ) def test_rename_table(self): self.validate_all( "ALTER TABLE db.t1 RENAME TO db.t2", write={ "snowflake": "ALTER TABLE db.t1 RENAME TO db.t2", "duckdb": "ALTER TABLE db.t1 RENAME TO t2", }, )