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Diffstat (limited to '')
| -rw-r--r-- | tests/dialects/test_bigquery.py | 22 |
1 files changed, 21 insertions, 1 deletions
diff --git a/tests/dialects/test_bigquery.py b/tests/dialects/test_bigquery.py index 728785c..bfaf009 100644 --- a/tests/dialects/test_bigquery.py +++ b/tests/dialects/test_bigquery.py @@ -1269,7 +1269,7 @@ LANGUAGE js AS "SELECT REGEXP_EXTRACT(abc, 'pattern(group)') FROM table", write={ "bigquery": "SELECT REGEXP_EXTRACT(abc, 'pattern(group)') FROM table", - "duckdb": "SELECT REGEXP_EXTRACT(abc, 'pattern(group)', 1) FROM table", + "duckdb": '''SELECT REGEXP_EXTRACT(abc, 'pattern(group)', 1) FROM "table"''', }, ) self.validate_all( @@ -1524,6 +1524,26 @@ WHERE "SELECT cola FROM (SELECT CAST('1' AS STRING) AS cola UNION ALL SELECT CAST('2' AS STRING) AS cola)", ) + def test_gap_fill(self): + self.validate_identity( + "SELECT * FROM GAP_FILL(TABLE device_data, ts_column => 'time', bucket_width => INTERVAL '1' MINUTE, value_columns => [('signal', 'locf')]) ORDER BY time" + ) + self.validate_identity( + "SELECT a, b, c, d, e FROM GAP_FILL(TABLE foo, ts_column => 'b', partitioning_columns => ['a'], value_columns => [('c', 'bar'), ('d', 'baz'), ('e', 'bla')], bucket_width => INTERVAL '1' DAY)" + ) + self.validate_identity( + "SELECT * FROM GAP_FILL(TABLE device_data, ts_column => 'time', bucket_width => INTERVAL '1' MINUTE, value_columns => [('signal', 'linear')], ignore_null_values => FALSE) ORDER BY time" + ) + self.validate_identity( + "SELECT * FROM GAP_FILL(TABLE device_data, ts_column => 'time', bucket_width => INTERVAL '1' MINUTE) ORDER BY time" + ) + self.validate_identity( + "SELECT * FROM GAP_FILL(TABLE device_data, ts_column => 'time', bucket_width => INTERVAL '1' MINUTE, value_columns => [('signal', 'null')], origin => CAST('2023-11-01 09:30:01' AS DATETIME)) ORDER BY time" + ) + self.validate_identity( + "SELECT * FROM GAP_FILL(TABLE (SELECT * FROM UNNEST(ARRAY<STRUCT<device_id INT64, time DATETIME, signal INT64, state STRING>>[STRUCT(1, CAST('2023-11-01 09:34:01' AS DATETIME), 74, 'INACTIVE'), STRUCT(2, CAST('2023-11-01 09:36:00' AS DATETIME), 77, 'ACTIVE'), STRUCT(3, CAST('2023-11-01 09:37:00' AS DATETIME), 78, 'ACTIVE'), STRUCT(4, CAST('2023-11-01 09:38:01' AS DATETIME), 80, 'ACTIVE')])), ts_column => 'time', bucket_width => INTERVAL '1' MINUTE, value_columns => [('signal', 'linear')]) ORDER BY time" + ) + def test_models(self): self.validate_identity( "SELECT * FROM ML.PREDICT(MODEL mydataset.mymodel, (SELECT label, column1, column2 FROM mydataset.mytable))" |