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Float/Doubles are lossy so using those as the default literal type is problematic. Change-Id: I5a619dd931d576e2e6cd7774139e9bafb9452db9 Reviewed-on: http://gerrit.ent.cloudera.com:8080/2758 Reviewed-by: Nong Li <nong@cloudera.com> Tested-by: jenkins
62 lines
2.6 KiB
Plaintext
62 lines
2.6 KiB
Plaintext
# Test implicit and explicit casts. Binary predicates containing an explicit cast
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# cannot be offered to the data source.
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select * from functional.alltypes_datasource
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where tinyint_col < 256 and
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float_col != 0 and
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cast(int_col as bigint) < 10
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---- PLAN
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00:SCAN DATA SOURCE [functional.alltypes_datasource]
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data source predicates: tinyint_col < 256
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predicates: float_col != 0, CAST(int_col AS BIGINT) < 10
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====
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# The first four predicates are in a form that can be offered to the data source
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# and the first and third will be accepted (it accepts every other conjunct).
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# The second and fourth will be evaluated by Impala. The negated predicates,
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# i.e. NOT <PREDICATE>, are not in a form able to be offered to the data source,
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# so they will always be evaluated by Impala.
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select * from functional.alltypes_datasource
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where 10 > int_col and
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5 > double_col and
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string_col != "Foo" and
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string_col != "Bar" and
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not true = bool_col and
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not 5.0 = double_col
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---- PLAN
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00:SCAN DATA SOURCE [functional.alltypes_datasource]
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data source predicates: 10 > int_col, string_col != 'Foo'
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predicates: 5 > double_col, string_col != 'Bar', NOT TRUE = bool_col, NOT 5.0 = double_col
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====
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# The 3rd predicate is not in a form that can be offered to the data source so
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# the 4th will be offered and accepted instead.
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select * from functional.alltypes_datasource
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where int_col < 10 and
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double_col > 5 and
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string_col in ("Foo", "Bar") and
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bool_col != false
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---- PLAN
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00:SCAN DATA SOURCE [functional.alltypes_datasource]
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data source predicates: int_col < 10, bool_col != FALSE
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predicates: double_col > 5, string_col IN ('Foo', 'Bar')
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====
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# Tests that all predicates from the On-clause are applied (IMPALA-805)
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# and that slot equivalences are enforced at lowest possible plan node
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# for tables produced by a data source.
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select 1 from functional.alltypes_datasource a
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inner join functional.alltypes_datasource b
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# equivalence class
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on a.id = b.id and a.id = b.int_col and a.id = b.bigint_col
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and a.tinyint_col = b.id and a.smallint_col = b.id
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and a.int_col = b.id and a.bigint_col = b.id
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# redundant predicates to test minimal spanning tree of equivalent slots
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where a.tinyint_col = a.smallint_col and a.int_col = a.bigint_col
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---- PLAN
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02:HASH JOIN [INNER JOIN]
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| hash predicates: a.id = b.id
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|--01:SCAN DATA SOURCE [functional.alltypes_datasource b]
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|--predicates: b.id = b.int_col, b.id = b.bigint_col
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00:SCAN DATA SOURCE [functional.alltypes_datasource a]
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predicates: a.tinyint_col = a.smallint_col, a.int_col = a.bigint_col, a.id = a.tinyint_col, a.id = a.int_col
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====
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