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impala/testdata/workloads/functional-planner/queries/PlannerTest/data-source-tables.test
Zach Amsden 77304530f1 IMPALA-5003: Constant propagation in scan conjuncts
Implements constant propagation within conjuncts and applies the
optimization to scan conjuncts and collection conjuncts within Hdfs
scan nodes.  The optimization is applied during planning.  At scan
nodes in particular, we want to optimize to enable partition pruning.
In certain cases, we might end up with a FALSE conditional, which
now will convert to an EmptySet node.

Testing: Expanded the test cases for the planner to achieve constant
propagation.  Added Kudu, datasource, Hdfs and HBase tests to validate
we can create EmptySetNodes.

Change-Id: I79750a8edb945effee2a519fa3b8192b77042cb4
Reviewed-on: http://gerrit.cloudera.org:8080/6389
Tested-by: Impala Public Jenkins
Reviewed-by: Alex Behm <alex.behm@cloudera.com>
2017-05-02 01:12:14 +00:00

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# Test implicit and explicit casts. Binary predicates containing an explicit cast
# cannot be offered to the data source.
select * from functional.alltypes_datasource
where tinyint_col < 256 and
float_col != 0 and
cast(int_col as bigint) < 10
---- PLAN
PLAN-ROOT SINK
|
00:SCAN DATA SOURCE [functional.alltypes_datasource]
data source predicates: tinyint_col < 256
predicates: float_col != 0, CAST(int_col AS BIGINT) < 10
====
# The first four predicates are in a form that can be offered to the data source
# and the first and third will be accepted (it accepts every other conjunct).
# The second and fourth will be evaluated by Impala. The negated predicates,
# i.e. NOT <PREDICATE>, are not in a form able to be offered to the data source,
# so they will always be evaluated by Impala.
select * from functional.alltypes_datasource
where 10 > int_col and
5 > double_col and
string_col != "Foo" and
string_col != "Bar" and
not true = bool_col and
not 5.0 = double_col
---- PLAN
PLAN-ROOT SINK
|
00:SCAN DATA SOURCE [functional.alltypes_datasource]
data source predicates: int_col < 10, string_col != 'Foo'
predicates: double_col < 5, NOT bool_col = TRUE, NOT double_col = 5.0, string_col != 'Bar'
====
# The 3rd predicate is not in a form that can be offered to the data source so
# the 4th will be offered and accepted instead.
select * from functional.alltypes_datasource
where int_col < 10 and
double_col > 5 and
string_col in ("Foo", "Bar") and
bool_col != false
---- PLAN
PLAN-ROOT SINK
|
00:SCAN DATA SOURCE [functional.alltypes_datasource]
data source predicates: int_col < 10, bool_col != FALSE
predicates: double_col > 5, string_col IN ('Foo', 'Bar')
====
# Tests that all predicates from the On-clause are applied (IMPALA-805)
# and that slot equivalences are enforced at lowest possible plan node
# for tables produced by a data source.
select 1 from functional.alltypes_datasource a
inner join functional.alltypes_datasource b
# equivalence class
on a.id = b.id and a.id = b.int_col and a.id = b.bigint_col
and a.tinyint_col = b.id and a.smallint_col = b.id
and a.int_col = b.id and a.bigint_col = b.id
# redundant predicates to test minimal spanning tree of equivalent slots
where a.tinyint_col = a.smallint_col and a.int_col = a.bigint_col
---- PLAN
PLAN-ROOT SINK
|
02:HASH JOIN [INNER JOIN]
| hash predicates: a.id = b.id
|
|--01:SCAN DATA SOURCE [functional.alltypes_datasource b]
|--predicates: b.id = b.int_col, b.id = b.bigint_col
|
00:SCAN DATA SOURCE [functional.alltypes_datasource a]
predicates: a.id = a.int_col, a.id = a.tinyint_col, a.int_col = a.bigint_col, a.tinyint_col = a.smallint_col
====
# Tests that <=>, IS DISTINCT FROM, and IS NOT DISTINCT FROM all can be offered to the
# data source.
select * from functional.alltypes_datasource
where id <=> 1
and bool_col <=> true
and tinyint_col IS DISTINCT FROM 2
and smallint_col IS DISTINCT FROM 3
and int_col is not distinct from 4
and bigint_col is not distinct from 5
---- PLAN
PLAN-ROOT SINK
|
00:SCAN DATA SOURCE [functional.alltypes_datasource]
data source predicates: id IS NOT DISTINCT FROM 1, tinyint_col IS DISTINCT FROM 2, int_col IS NOT DISTINCT FROM 4
predicates: bigint_col IS NOT DISTINCT FROM 5, bool_col IS NOT DISTINCT FROM TRUE, smallint_col IS DISTINCT FROM 3
====
# EmptySet datasource
select * from functional.alltypes_datasource
where id <=> 1 and id = 2
and bool_col <=> true
and tinyint_col IS DISTINCT FROM 2
and smallint_col IS DISTINCT FROM 3
and int_col is not distinct from 4
and bigint_col is not distinct from 5
---- PLAN
PLAN-ROOT SINK
|
00:EMPTYSET
====