398 lines
14 KiB
Python
398 lines
14 KiB
Python
from sqlglot import ErrorLevel, UnsupportedError, transpile
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from tests.dialects.test_dialect import Validator
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class TestDuckDB(Validator):
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dialect = "duckdb"
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def test_time(self):
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self.validate_all(
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"EPOCH(x)",
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read={
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"presto": "TO_UNIXTIME(x)",
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},
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write={
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"bigquery": "TIME_TO_UNIX(x)",
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"duckdb": "EPOCH(x)",
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"presto": "TO_UNIXTIME(x)",
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"spark": "UNIX_TIMESTAMP(x)",
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},
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)
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self.validate_all(
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"EPOCH_MS(x)",
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write={
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"bigquery": "UNIX_TO_TIME(CAST(x / 1000 AS INT64))",
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"duckdb": "TO_TIMESTAMP(x / 1000)",
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"presto": "FROM_UNIXTIME(x / 1000)",
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"spark": "FROM_UNIXTIME(CAST(x / 1000 AS INT))",
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},
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)
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self.validate_all(
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"STRFTIME(x, '%y-%-m-%S')",
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write={
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"bigquery": "TIME_TO_STR(x, '%y-%-m-%S')",
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"duckdb": "STRFTIME(x, '%y-%-m-%S')",
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"postgres": "TO_CHAR(x, 'YY-FMMM-SS')",
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"presto": "DATE_FORMAT(x, '%y-%c-%S')",
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"spark": "DATE_FORMAT(x, 'yy-M-ss')",
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},
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)
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self.validate_all(
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"STRFTIME(x, '%Y-%m-%d %H:%M:%S')",
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write={
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"duckdb": "STRFTIME(x, '%Y-%m-%d %H:%M:%S')",
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"presto": "DATE_FORMAT(x, '%Y-%m-%d %T')",
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"hive": "DATE_FORMAT(x, 'yyyy-MM-dd HH:mm:ss')",
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},
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)
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self.validate_all(
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"STRPTIME(x, '%y-%-m')",
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write={
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"bigquery": "PARSE_TIMESTAMP('%y-%m', x)",
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"duckdb": "STRPTIME(x, '%y-%-m')",
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"presto": "DATE_PARSE(x, '%y-%c')",
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"hive": "CAST(FROM_UNIXTIME(UNIX_TIMESTAMP(x, 'yy-M')) AS TIMESTAMP)",
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"spark": "TO_TIMESTAMP(x, 'yy-M')",
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},
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)
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self.validate_all(
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"TO_TIMESTAMP(x)",
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write={
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"bigquery": "UNIX_TO_TIME(x)",
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"duckdb": "TO_TIMESTAMP(x)",
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"presto": "FROM_UNIXTIME(x)",
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"hive": "FROM_UNIXTIME(x)",
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},
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)
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self.validate_all(
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"STRPTIME(x, '%-m/%-d/%y %-I:%M %p')",
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write={
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"bigquery": "PARSE_TIMESTAMP('%m/%d/%y %I:%M %p', x)",
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"duckdb": "STRPTIME(x, '%-m/%-d/%y %-I:%M %p')",
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"presto": "DATE_PARSE(x, '%c/%e/%y %l:%i %p')",
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"hive": "CAST(FROM_UNIXTIME(UNIX_TIMESTAMP(x, 'M/d/yy h:mm a')) AS TIMESTAMP)",
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"spark": "TO_TIMESTAMP(x, 'M/d/yy h:mm a')",
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},
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)
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def test_sample(self):
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self.validate_all(
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"SELECT * FROM tbl USING SAMPLE 5",
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write={"duckdb": "SELECT * FROM tbl USING SAMPLE (5)"},
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)
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self.validate_all(
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"SELECT * FROM tbl USING SAMPLE 10%",
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write={"duckdb": "SELECT * FROM tbl USING SAMPLE (10 PERCENT)"},
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)
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self.validate_all(
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"SELECT * FROM tbl USING SAMPLE 10 PERCENT (bernoulli)",
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write={"duckdb": "SELECT * FROM tbl USING SAMPLE BERNOULLI (10 PERCENT)"},
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)
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self.validate_all(
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"SELECT * FROM tbl USING SAMPLE reservoir(50 ROWS) REPEATABLE (100)",
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write={"duckdb": "SELECT * FROM tbl USING SAMPLE RESERVOIR (50 ROWS) REPEATABLE (100)"},
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)
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self.validate_all(
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"SELECT * FROM tbl USING SAMPLE 10% (system, 377)",
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write={"duckdb": "SELECT * FROM tbl USING SAMPLE SYSTEM (10 PERCENT) REPEATABLE (377)"},
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)
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self.validate_all(
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"SELECT * FROM tbl TABLESAMPLE RESERVOIR(20%), tbl2 WHERE tbl.i=tbl2.i",
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write={
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"duckdb": "SELECT * FROM tbl TABLESAMPLE RESERVOIR (20 PERCENT), tbl2 WHERE tbl.i = tbl2.i"
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},
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)
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self.validate_all(
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"SELECT * FROM tbl, tbl2 WHERE tbl.i=tbl2.i USING SAMPLE RESERVOIR(20%)",
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write={
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"duckdb": "SELECT * FROM tbl, tbl2 WHERE tbl.i = tbl2.i USING SAMPLE RESERVOIR (20 PERCENT)"
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},
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)
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def test_duckdb(self):
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self.validate_identity("SELECT {'a': 1} AS x")
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self.validate_identity("SELECT {'a': {'b': {'c': 1}}, 'd': {'e': 2}} AS x")
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self.validate_identity("SELECT {'x': 1, 'y': 2, 'z': 3}")
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self.validate_identity(
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"SELECT {'yes': 'duck', 'maybe': 'goose', 'huh': NULL, 'no': 'heron'}"
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)
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self.validate_identity("SELECT {'key1': 'string', 'key2': 1, 'key3': 12.345}")
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self.validate_identity("SELECT ROW(x, x + 1, y) FROM (SELECT 1 AS x, 'a' AS y)")
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self.validate_identity("SELECT (x, x + 1, y) FROM (SELECT 1 AS x, 'a' AS y)")
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self.validate_identity("SELECT a.x FROM (SELECT {'x': 1, 'y': 2, 'z': 3} AS a)")
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self.validate_identity(
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"SELECT a['x space'] FROM (SELECT {'x space': 1, 'y': 2, 'z': 3} AS a)"
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)
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self.validate_all(
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"CREATE TABLE IF NOT EXISTS table (cola INT, colb STRING) USING ICEBERG PARTITIONED BY (colb)",
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write={
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"duckdb": "CREATE TABLE IF NOT EXISTS table (cola INT, colb TEXT)",
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},
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)
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self.validate_all(
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"COL::BIGINT[]",
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write={
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"duckdb": "CAST(COL AS BIGINT[])",
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"presto": "CAST(COL AS ARRAY(BIGINT))",
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"hive": "CAST(COL AS ARRAY<BIGINT>)",
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"spark": "CAST(COL AS ARRAY<LONG>)",
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"postgres": "CAST(COL AS BIGINT[])",
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"snowflake": "CAST(COL AS ARRAY)",
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},
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)
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self.validate_all(
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"LIST_VALUE(0, 1, 2)",
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read={
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"spark": "ARRAY(0, 1, 2)",
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},
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write={
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"bigquery": "[0, 1, 2]",
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"duckdb": "LIST_VALUE(0, 1, 2)",
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"presto": "ARRAY[0, 1, 2]",
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"spark": "ARRAY(0, 1, 2)",
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},
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)
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self.validate_all(
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"SELECT ARRAY_LENGTH([0], 1) AS x",
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write={"duckdb": "SELECT ARRAY_LENGTH(LIST_VALUE(0), 1) AS x"},
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)
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self.validate_all(
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"REGEXP_MATCHES(x, y)",
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write={
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"duckdb": "REGEXP_MATCHES(x, y)",
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"presto": "REGEXP_LIKE(x, y)",
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"hive": "x RLIKE y",
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"spark": "x RLIKE y",
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},
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)
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self.validate_all(
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"STR_SPLIT(x, 'a')",
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write={
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"duckdb": "STR_SPLIT(x, 'a')",
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"presto": "SPLIT(x, 'a')",
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"hive": "SPLIT(x, CONCAT('\\\\Q', 'a'))",
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"spark": "SPLIT(x, CONCAT('\\\\Q', 'a'))",
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},
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)
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self.validate_all(
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"STRING_TO_ARRAY(x, 'a')",
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write={
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"duckdb": "STR_SPLIT(x, 'a')",
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"presto": "SPLIT(x, 'a')",
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"hive": "SPLIT(x, CONCAT('\\\\Q', 'a'))",
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"spark": "SPLIT(x, CONCAT('\\\\Q', 'a'))",
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},
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)
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self.validate_all(
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"STR_SPLIT_REGEX(x, 'a')",
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write={
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"duckdb": "STR_SPLIT_REGEX(x, 'a')",
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"presto": "REGEXP_SPLIT(x, 'a')",
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"hive": "SPLIT(x, 'a')",
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"spark": "SPLIT(x, 'a')",
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},
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)
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self.validate_all(
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"STRUCT_EXTRACT(x, 'abc')",
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write={
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"duckdb": "STRUCT_EXTRACT(x, 'abc')",
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"presto": 'x."abc"',
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"hive": "x.`abc`",
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"spark": "x.`abc`",
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},
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)
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self.validate_all(
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"STRUCT_EXTRACT(STRUCT_EXTRACT(x, 'y'), 'abc')",
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write={
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"duckdb": "STRUCT_EXTRACT(STRUCT_EXTRACT(x, 'y'), 'abc')",
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"presto": 'x."y"."abc"',
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"hive": "x.`y`.`abc`",
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"spark": "x.`y`.`abc`",
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},
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)
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self.validate_all(
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"QUANTILE(x, 0.5)",
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write={
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"duckdb": "QUANTILE(x, 0.5)",
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"presto": "APPROX_PERCENTILE(x, 0.5)",
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"hive": "PERCENTILE(x, 0.5)",
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"spark": "PERCENTILE(x, 0.5)",
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},
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)
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self.validate_all(
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"CAST(x AS DATE)",
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write={
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"duckdb": "CAST(x AS DATE)",
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"": "CAST(x AS DATE)",
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},
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)
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self.validate_all(
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"UNNEST(x)",
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read={
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"spark": "EXPLODE(x)",
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},
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write={
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"duckdb": "UNNEST(x)",
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"spark": "EXPLODE(x)",
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},
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)
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self.validate_all(
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"1d",
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write={
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"duckdb": "1 AS d",
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"spark": "1 AS d",
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},
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)
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self.validate_all(
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"CAST(1 AS DOUBLE)",
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read={
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"hive": "1d",
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"spark": "1d",
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},
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)
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self.validate_all(
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"POWER(CAST(2 AS SMALLINT), 3)",
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read={
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"hive": "POW(2S, 3)",
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"spark": "POW(2S, 3)",
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},
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)
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self.validate_all(
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"LIST_SUM(LIST_VALUE(1, 2))",
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read={
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"spark": "ARRAY_SUM(ARRAY(1, 2))",
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},
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)
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self.validate_all(
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"IF(y <> 0, x / y, NULL)",
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read={
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"bigquery": "SAFE_DIVIDE(x, y)",
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},
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)
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self.validate_all(
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"STRUCT_PACK(x := 1, y := '2')",
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write={
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"duckdb": "{'x': 1, 'y': '2'}",
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"spark": "STRUCT(x = 1, y = '2')",
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},
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)
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self.validate_all(
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"STRUCT_PACK(key1 := 'value1', key2 := 42)",
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write={
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"duckdb": "{'key1': 'value1', 'key2': 42}",
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"spark": "STRUCT(key1 = 'value1', key2 = 42)",
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},
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)
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self.validate_all(
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"ARRAY_SORT(x)",
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write={
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"duckdb": "ARRAY_SORT(x)",
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"presto": "ARRAY_SORT(x)",
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"hive": "SORT_ARRAY(x)",
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"spark": "SORT_ARRAY(x)",
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},
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)
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self.validate_all(
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"ARRAY_REVERSE_SORT(x)",
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write={
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"duckdb": "ARRAY_REVERSE_SORT(x)",
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"presto": "ARRAY_SORT(x, (a, b) -> CASE WHEN a < b THEN 1 WHEN a > b THEN -1 ELSE 0 END)",
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"hive": "SORT_ARRAY(x, FALSE)",
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"spark": "SORT_ARRAY(x, FALSE)",
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},
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)
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self.validate_all(
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"LIST_REVERSE_SORT(x)",
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write={
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"duckdb": "ARRAY_REVERSE_SORT(x)",
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"presto": "ARRAY_SORT(x, (a, b) -> CASE WHEN a < b THEN 1 WHEN a > b THEN -1 ELSE 0 END)",
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"hive": "SORT_ARRAY(x, FALSE)",
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"spark": "SORT_ARRAY(x, FALSE)",
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},
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)
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self.validate_all(
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"LIST_SORT(x)",
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write={
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"duckdb": "ARRAY_SORT(x)",
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"presto": "ARRAY_SORT(x)",
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"hive": "SORT_ARRAY(x)",
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"spark": "SORT_ARRAY(x)",
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},
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)
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self.validate_all(
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"SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname ASC NULLS LAST, lname",
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write={
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"duckdb": "SELECT fname, lname, age FROM person ORDER BY age DESC NULLS FIRST, fname NULLS LAST, lname",
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},
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)
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self.validate_all(
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"MONTH('2021-03-01')",
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write={
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"duckdb": "MONTH('2021-03-01')",
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"presto": "MONTH('2021-03-01')",
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"hive": "MONTH('2021-03-01')",
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"spark": "MONTH('2021-03-01')",
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},
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)
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self.validate_all(
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"ARRAY_CONCAT(LIST_VALUE(1, 2), LIST_VALUE(3, 4))",
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write={
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"duckdb": "ARRAY_CONCAT(LIST_VALUE(1, 2), LIST_VALUE(3, 4))",
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"presto": "CONCAT(ARRAY[1, 2], ARRAY[3, 4])",
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"hive": "CONCAT(ARRAY(1, 2), ARRAY(3, 4))",
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"spark": "CONCAT(ARRAY(1, 2), ARRAY(3, 4))",
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"snowflake": "ARRAY_CAT([1, 2], [3, 4])",
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"bigquery": "ARRAY_CONCAT([1, 2], [3, 4])",
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},
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)
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self.validate_identity("ATTACH DATABASE ':memory:' AS new_database")
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with self.assertRaises(UnsupportedError):
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transpile(
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"SELECT a FROM b PIVOT(SUM(x) FOR y IN ('z', 'q'))",
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read="duckdb",
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unsupported_level=ErrorLevel.IMMEDIATE,
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)
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with self.assertRaises(UnsupportedError):
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transpile(
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"SELECT REGEXP_EXTRACT(a, 'pattern', 1) from table",
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read="bigquery",
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write="duckdb",
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unsupported_level=ErrorLevel.IMMEDIATE,
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)
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def test_array(self):
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self.validate_identity("ARRAY(SELECT id FROM t)")
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def test_cast(self):
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self.validate_all(
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"123::CHARACTER VARYING",
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write={
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"duckdb": "CAST(123 AS TEXT)",
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},
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)
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self.validate_all(
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"cast([[1]] as int[][])",
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write={
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"duckdb": "CAST(LIST_VALUE(LIST_VALUE(1)) AS INT[][])",
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"spark": "CAST(ARRAY(ARRAY(1)) AS ARRAY<ARRAY<INT>>)",
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},
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)
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self.validate_all(
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"CAST(x AS DATE) + INTERVAL (7 * -1) DAY", read={"spark": "DATE_SUB(x, 7)"}
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)
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def test_bool_or(self):
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self.validate_all(
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"SELECT a, LOGICAL_OR(b) FROM table GROUP BY a",
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write={"duckdb": "SELECT a, BOOL_OR(b) FROM table GROUP BY a"},
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)
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