testdata/workloads/functional-planner/queries/PlannerTest/constant-propagation.test - impala - Git at Google

 # Check that impossible conditions are detected
 select *
 from functional.alltypes a
 where a.string_col = "looooooooooooooooong string" and
       a.string_col = "mediumstring" and
       a.string_col = "a"
 ---- PLAN
 PLAN-ROOT SINK
 |
 00:EMPTYSET
 ====
 # Test multiple forward propagation
 select * from functional.widetable_250_cols a
 where a.int_col1 = 10 and a.int_col2 = a.int_col1 + 1 and a.int_col3 = a.int_col2 * 5
       and a.int_col4 = a.int_col3 * 2;
 ---- PLAN
 PLAN-ROOT SINK
 |
 00:SCAN HDFS [functional.widetable_250_cols a]
    partitions=1/1 files=1 size=28.69KB
    predicates: a.int_col1 = 10, a.int_col2 = 11, a.int_col3 = 55, a.int_col4 = 110
    row-size=1.21KB cardinality=unavailable
 ====
 # Test multiple forward propagation
 select * from functional.widetable_250_cols a
 where a.int_col1 = 10 and a.int_col2 = a.int_col1 + 1 and a.int_col3 = a.int_col2 * 5
       and a.int_col3 * -7 = a.int_col4
 ---- PLAN
 PLAN-ROOT SINK
 |
 00:SCAN HDFS [functional.widetable_250_cols a]
    partitions=1/1 files=1 size=28.69KB
    predicates: a.int_col1 = 10, a.int_col2 = 11, a.int_col3 = 55, a.int_col4 = -385
    row-size=1.21KB cardinality=unavailable
 ====
 # Test multiple forward propagation
 select * from functional.widetable_250_cols a
 where a.int_col1 = 10 and a.int_col2 = a.int_col1 + 1 and a.int_col2 * 5 = a.int_col3
       and a.int_col3 * -9 = a.int_col4
 ---- PLAN
 PLAN-ROOT SINK
 |
 00:SCAN HDFS [functional.widetable_250_cols a]
    partitions=1/1 files=1 size=28.69KB
    predicates: a.int_col1 = 10, a.int_col2 = 11, a.int_col3 = 55, a.int_col4 = -495
    row-size=1.21KB cardinality=unavailable
 ====
 # Test multiple forward propagation, and a reversed propagation
 # (which fails as we can't rewrite 55 = a.int_col4 / 10)
 select * from functional.widetable_250_cols a
 where a.int_col1 = 10 and a.int_col2 = a.int_col1 + 1 and a.int_col3 = a.int_col2 * 5
       and a.int_col4 / 10 = a.int_col3
 ---- PLAN
 PLAN-ROOT SINK
 |
 00:SCAN HDFS [functional.widetable_250_cols a]
    partitions=1/1 files=1 size=28.69KB
    predicates: a.int_col1 = 10, a.int_col2 = 11, a.int_col3 = 55, a.int_col4 / 10 = 55
    row-size=1.21KB cardinality=unavailable
 ====
 # Another impossibility (a.int_col3 = a.int_col2 * 5 = a.int_col2 * -7)
 select * from functional.widetable_250_cols a
 where a.int_col1 = 10 and a.int_col2 = a.int_col1 + 1 and a.int_col3 = a.int_col2 * 5
       and a.int_col3 * -7 = a.int_col2;
 ---- PLAN
 PLAN-ROOT SINK
 |
 00:EMPTYSET
 ====
 # An inline view which takes false conjuncts
 select count(*) from
   (select id, int_col from functional.alltypes) T
   where T.int_col = 10 and T.int_col = 12
 ---- PLAN
 PLAN-ROOT SINK
 |
 01:AGGREGATE [FINALIZE]
 |  output: count(*)
 |  row-size=8B cardinality=0
 |
 00:EMPTYSET
 ====
 # An inline view which becomes false at the scan node
 select count(*) from
   (select id, int_col from functional.alltypes where int_col = 10) T
   where T.int_col = 12
 ---- PLAN
 PLAN-ROOT SINK
 |
 01:AGGREGATE [FINALIZE]
 |  output: count(*)
 |  row-size=8B cardinality=0
 |
 00:EMPTYSET
 ====
 # Explicit casts are not considered for propagation
 select * from functional.alltypes a
 where cast(a.int_col as string) = 'abc' and cast(int_col as string) > 'xyz'
 ---- PLAN
 PLAN-ROOT SINK
 |
 00:SCAN HDFS [functional.alltypes a]
    partitions=24/24 files=24 size=478.45KB
    predicates: CAST(a.int_col AS STRING) = 'abc', CAST(int_col AS STRING) > 'xyz'
    row-size=89B cardinality=231
 ====
 # Implicit casts are considered for propagation
 select * from functional.alltypes a
 where a.tinyint_col = 10000 and a.tinyint_col < 10000
 ---- PLAN
 PLAN-ROOT SINK
 |
 00:EMPTYSET
 ====
 # Constant predicates always get removed
 select count(*) from
   (select sum(int_col) over(partition by int_col), int_col
    from functional.alltypes where int_col = 10 group by int_col limit 10)  T
 where T.int_col = 12 and T.int_col > 1
 ---- PLAN
 PLAN-ROOT SINK
 |
 03:AGGREGATE [FINALIZE]
 |  output: count(*)
 |  row-size=8B cardinality=0
 |
 02:SELECT
 |  predicates: int_col = 12, int_col > 1
 |  row-size=4B cardinality=0
 |
 01:AGGREGATE [FINALIZE]
 |  group by: int_col
 |  limit: 10
 |  row-size=4B cardinality=10
 |
 00:SCAN HDFS [functional.alltypes]
    partitions=24/24 files=24 size=478.45KB
    predicates: int_col = 10
    row-size=4B cardinality=730
 ====
 # Many constant predicates removed
 select count(*) from
   (select * from functional.alltypes where int_col = 10) T
 where T.int_col = 10 and T.int_col > 1 and T.int_col = 10 and T.int_col = T.int_col
   and 2 * T.int_col = 20
 ---- PLAN
 PLAN-ROOT SINK
 |
 01:AGGREGATE [FINALIZE]
 |  output: count(*)
 |  row-size=8B cardinality=1
 |
 00:SCAN HDFS [functional.alltypes]
    partitions=24/24 files=24 size=478.45KB
    predicates: int_col = 10
    row-size=4B cardinality=730
 ====
 # All true predicates elided
 select count(*) from
   (select * from functional.alltypes) T
 where 2 * 5 = 10 and 3 - 11 = -8 and 7 * 5 = 35
 ---- PLAN
 PLAN-ROOT SINK
 |
 01:AGGREGATE [FINALIZE]
 |  output: count(*)
 |  row-size=8B cardinality=1
 |
 00:SCAN HDFS [functional.alltypes]
    partitions=24/24 files=24 size=478.45KB
    row-size=0B cardinality=7.30K
 ====
 # Many redundant / duplicate predicates
  select count(*) from
   (select * from functional.alltypes where int_col = 10) T
 where T.int_col = 10 and T.int_col > 1 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 1 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 2 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 3 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 4 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 5 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 6 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 7 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 8 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 9 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 1 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 2 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 3 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 4 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 5 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 6 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 7 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 8 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 9 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 1 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 2 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 3 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 4 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 5 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 6 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 7 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 8 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 9 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
  T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col
 ---- PLAN
 PLAN-ROOT SINK
 |
 01:AGGREGATE [FINALIZE]
 |  output: count(*)
 |  row-size=8B cardinality=1
 |
 00:SCAN HDFS [functional.alltypes]
    partitions=24/24 files=24 size=478.45KB
    predicates: int_col = 10
    row-size=4B cardinality=730
 ====
 # Non-trivial expr substitution (const false)
 select count(*) from
   (select * from functional.alltypes where int_col = 10) T
 where T.int_col = 10 and T.int_col > 1 and T.int_col = 10 and T.int_col = T.int_col and
 coalesce(NULL, T.int_col) + T.int_col * T.int_col = 100
 ---- PLAN
 PLAN-ROOT SINK
 |
 01:AGGREGATE [FINALIZE]
 |  output: count(*)
 |  row-size=8B cardinality=0
 |
 00:EMPTYSET
 ====
 # Non-trivial expr substitution (const true)
 select count(*) from
   (select * from functional.alltypes where int_col = 10) T
 where T.int_col = 10 and T.int_col > 1 and T.int_col = 10 and T.int_col = T.int_col and
   (coalesce(NULL, T.int_col) + T.int_col * T.int_col = 100 OR
    coalesce(NULL, T.int_col) + T.int_col = 20)
 ---- PLAN
 PLAN-ROOT SINK
 |
 01:AGGREGATE [FINALIZE]
 |  output: count(*)
 |  row-size=8B cardinality=1
 |
 00:SCAN HDFS [functional.alltypes]
    partitions=24/24 files=24 size=478.45KB
    predicates: int_col = 10
    row-size=4B cardinality=730
 ====
 # Non-trivial expr substitution (non-constant)
 select count(*) from
   (select * from functional.alltypes where int_col = 10) T
 where T.int_col = 10 and T.int_col > 1 and T.int_col = 10 and T.int_col = T.int_col and
 (coalesce(NULL, T.int_col) + random() * T.tinyint_col = 100 OR
  coalesce(NULL, T.int_col) + T.int_col = 20)
 ---- PLAN
 PLAN-ROOT SINK
 |
 01:AGGREGATE [FINALIZE]
 |  output: count(*)
 |  row-size=8B cardinality=1
 |
 00:SCAN HDFS [functional.alltypes]
    partitions=24/24 files=24 size=478.45KB
    predicates: int_col = 10, TRUE OR 10 + random() * functional.alltypes.tinyint_col = 100
    row-size=5B cardinality=231
 ====
 # Collection predicates within HDFS scan nodes get optimized
 select 1
 from tpch_nested_parquet.customer c, c.c_orders o, o.o_lineitems
 where l_partkey < l_suppkey and c.c_nationkey = 10 and o_orderkey = 4 and l_suppkey = 10
 ---- PLAN
 PLAN-ROOT SINK
 |
 01:SUBPLAN
 |  row-size=50B cardinality=600.00K
 |
 |--08:NESTED LOOP JOIN [CROSS JOIN]
 |  |  row-size=50B cardinality=100
 |  |
 |  |--02:SINGULAR ROW SRC
 |  |     row-size=14B cardinality=1
 |  |
 |  04:SUBPLAN
 |  |  row-size=36B cardinality=100
 |  |
 |  |--07:NESTED LOOP JOIN [CROSS JOIN]
 |  |  |  row-size=36B cardinality=10
 |  |  |
 |  |  |--05:SINGULAR ROW SRC
 |  |  |     row-size=20B cardinality=1
 |  |  |
 |  |  06:UNNEST [o.o_lineitems]
 |  |     row-size=0B cardinality=10
 |  |
 |  03:UNNEST [c.c_orders o]
 |     row-size=0B cardinality=10
 |
 00:SCAN HDFS [tpch_nested_parquet.customer c]
    partitions=1/1 files=4 size=288.99MB
    predicates: c.c_nationkey = 10, !empty(c.c_orders)
    predicates on o: !empty(o.o_lineitems), o_orderkey = 4
    predicates on o_lineitems: l_partkey < 10, l_suppkey = 10
    row-size=14B cardinality=6.00K
 ====
 # Nested predicates also get propagated
 select 1
 from tpch_nested_parquet.customer c, c.c_orders o, o.o_lineitems
 where l_partkey < l_suppkey and c.c_nationkey = 10 and o_orderkey = o_shippriority
   and l_suppkey = 10 and o_shippriority = c_nationkey
 ---- PLAN
 PLAN-ROOT SINK
 |
 01:SUBPLAN
 |  row-size=54B cardinality=600.00K
 |
 |--08:NESTED LOOP JOIN [INNER JOIN]
 |  |  join predicates: o_shippriority = c_nationkey
 |  |  row-size=54B cardinality=100
 |  |
 |  |--02:SINGULAR ROW SRC
 |  |     row-size=14B cardinality=1
 |  |
 |  04:SUBPLAN
 |  |  row-size=40B cardinality=100
 |  |
 |  |--07:NESTED LOOP JOIN [CROSS JOIN]
 |  |  |  row-size=40B cardinality=10
 |  |  |
 |  |  |--05:SINGULAR ROW SRC
 |  |  |     row-size=24B cardinality=1
 |  |  |
 |  |  06:UNNEST [o.o_lineitems]
 |  |     row-size=0B cardinality=10
 |  |
 |  03:UNNEST [c.c_orders o]
 |     row-size=0B cardinality=10
 |
 00:SCAN HDFS [tpch_nested_parquet.customer c]
    partitions=1/1 files=4 size=288.99MB
    predicates: c.c_nationkey = 10, !empty(c.c_orders)
    predicates on o: !empty(o.o_lineitems), o.o_orderkey = 10, o.o_shippriority = 10
    predicates on o_lineitems: l_partkey < 10, l_suppkey = 10
    row-size=14B cardinality=6.00K
 ====
 # Using IS NULL
 select count(*) from functional.alltypes where id = 10 and bool_col is null
    and id = bool_col;
 ---- PLAN
 PLAN-ROOT SINK
 |
 01:AGGREGATE [FINALIZE]
 |  output: count(*)
 |  row-size=8B cardinality=0
 |
 00:EMPTYSET
 ====
 # Using = null
 select count(*) from functional.alltypes where id = 10 and bool_col = null and id = bool_col
 ---- PLAN
 PLAN-ROOT SINK
 |
 01:AGGREGATE [FINALIZE]
 |  output: count(*)
 |  row-size=8B cardinality=0
 |
 00:EMPTYSET
 ====
 # IS NULL and >
 select count(*) from functional.alltypes where id > 0 and bool_col is null
    and id = bool_col;
 ---- PLAN
 PLAN-ROOT SINK
 |
 01:AGGREGATE [FINALIZE]
 |  output: count(*)
 |  row-size=8B cardinality=1
 |
 00:SCAN HDFS [functional.alltypes]
    partitions=24/24 files=24 size=478.45KB
    predicates: bool_col IS NULL, functional.alltypes.id IS NULL, id > 0, functional.alltypes.bool_col > 0, id = bool_col
    row-size=5B cardinality=730
 ====
 # = NULL and >
 select count(*) from functional.alltypes where id > 0 and bool_col = null
    and id = bool_col
 ---- PLAN
 PLAN-ROOT SINK
 |
 01:AGGREGATE [FINALIZE]
 |  output: count(*)
 |  row-size=8B cardinality=0
 |
 00:EMPTYSET
 ====
 # IMPALA-10064
 # Constant propagation for range predicates on timestamp.
 # Also enables partition pruning.
 select * from functional.alltypes_date_partition
 where date_col = cast(timestamp_col as date)
 and timestamp_col between '2009-01-01' and '2009-02-01';
 ---- PLAN
 PLAN-ROOT SINK
 |
 00:SCAN HDFS [functional.alltypes_date_partition]
    partition predicates: date_col >= DATE '2009-01-01' AND date_col <= DATE '2009-02-01'
    HDFS partitions=32/55 files=32 size=15.99KB
    predicates: timestamp_col <= TIMESTAMP '2009-02-01 00:00:00', timestamp_col >= TIMESTAMP '2009-01-01 00:00:00', date_col = CAST(timestamp_col AS DATE)
    row-size=65B cardinality=30
 ====
 # Same as above but using a WITH clause (to emulate views)
 with dp_view as
 (select * from functional.alltypes_date_partition
 where date_col = cast(timestamp_col as date))
 select * from dp_view
 where timestamp_col between '2009-01-01' and '2009-02-01';
 ---- PLAN
 PLAN-ROOT SINK
 |
 00:SCAN HDFS [functional.alltypes_date_partition]
    partition predicates: date_col >= DATE '2009-01-01' AND date_col <= DATE '2009-02-01'
    HDFS partitions=32/55 files=32 size=15.99KB
    predicates: functional.alltypes_date_partition.timestamp_col <= TIMESTAMP '2009-02-01 00:00:00', functional.alltypes_date_partition.timestamp_col >= TIMESTAMP '2009-01-01 00:00:00', date_col = CAST(timestamp_col AS DATE)
    row-size=65B cardinality=30
 ====
 # Mix of various predicates some of which are eligible for propagation
 with dp_view as
 (select * from functional.alltypes_date_partition
 where date_col = cast(timestamp_col as date))
 select * from dp_view
 where int_col < 100 and timestamp_col >= '2009-01-01'
 and bigint_col in (5, 10)
 and timestamp_col <= '2009-02-01';
 ---- PLAN
 PLAN-ROOT SINK
 |
 00:SCAN HDFS [functional.alltypes_date_partition]
    partition predicates: date_col >= DATE '2009-01-01' AND date_col <= DATE '2009-02-01'
    HDFS partitions=32/55 files=32 size=15.99KB
    predicates: functional.alltypes_date_partition.bigint_col IN (5, 10), functional.alltypes_date_partition.int_col < 100, functional.alltypes_date_partition.timestamp_col <= TIMESTAMP '2009-02-01 00:00:00', functional.alltypes_date_partition.timestamp_col >= TIMESTAMP '2009-01-01 00:00:00', date_col = CAST(timestamp_col AS DATE)
    row-size=65B cardinality=13
 ====
 # Mix of predicates. Propagate equality constant predicates to
 # one set of conjuncts and range predicates to date/timestamp
 select * from functional.alltypes_date_partition
 where date_col = cast(timestamp_col as date)
 and int_col = bigint_col + 1
 and timestamp_col >= '2009-01-01'
 and bigint_col = 100
 and timestamp_col <= '2009-02-01';
 ---- PLAN
 PLAN-ROOT SINK
 |
 00:SCAN HDFS [functional.alltypes_date_partition]
    partition predicates: date_col >= DATE '2009-01-01' AND date_col <= DATE '2009-02-01'
    HDFS partitions=32/55 files=32 size=15.99KB
    predicates: bigint_col = 100, int_col = 101, timestamp_col <= TIMESTAMP '2009-02-01 00:00:00', timestamp_col >= TIMESTAMP '2009-01-01 00:00:00', date_col = CAST(timestamp_col AS DATE)
    row-size=65B cardinality=4
 ====
 # Swapped order of <constant> <op> <column>.
 # Should create the same plan with the constant propagated.
 with dp_view as
 (select * from functional.alltypes_date_partition
 where date_col = cast(timestamp_col as date))
 select * from dp_view
 where int_col = bigint_col + 1
 and '2009-01-01' <= timestamp_col
 and bigint_col = 100
 and '2009-02-01' >= timestamp_col
 ---- PLAN
 PLAN-ROOT SINK
 |
 00:SCAN HDFS [functional.alltypes_date_partition]
    partition predicates: date_col >= DATE '2009-01-01' AND date_col <= DATE '2009-02-01'
    HDFS partitions=32/55 files=32 size=15.99KB
    predicates: functional.alltypes_date_partition.bigint_col = 100, functional.alltypes_date_partition.int_col = 101, functional.alltypes_date_partition.timestamp_col <= TIMESTAMP '2009-02-01 00:00:00', functional.alltypes_date_partition.timestamp_col >= TIMESTAMP '2009-01-01 00:00:00', date_col = CAST(timestamp_col AS DATE)
    row-size=65B cardinality=4
 ====
 # Constant propagation for equality predicates on timestamp.
 select * from functional.alltypes_date_partition
 where date_col = cast(timestamp_col as date)
 and timestamp_col = '2009-01-01';
 ---- PLAN
 PLAN-ROOT SINK
 |
 00:SCAN HDFS [functional.alltypes_date_partition]
    partition predicates: date_col = DATE '2009-01-01'
    HDFS partitions=1/55 files=1 size=257B
    predicates: timestamp_col = TIMESTAMP '2009-01-01 00:00:00'
    row-size=65B cardinality=1
 ====
 # Don't do constant propagation if range predicate is not on
 # timestamp or date column
 select * from functional.alltypes_date_partition
 where bigint_col = cast(int_col as bigint)
 and int_col > 5;
 ---- PLAN
 PLAN-ROOT SINK
 |
 00:SCAN HDFS [functional.alltypes_date_partition]
    HDFS partitions=55/55 files=55 size=27.27KB
    predicates: int_col > 5, bigint_col = CAST(int_col AS BIGINT)
    row-size=65B cardinality=50
 ====
 # Constant propagation when a timestamp function is used.
 select * from functional.alltypes_date_partition
 where date_col = cast(timestamp_col as date)
 and timestamp_col > from_timestamp('2009-02-01 00:02:00', 'yyyy-mm-dd');
 ---- PLAN
 PLAN-ROOT SINK
 |
 00:SCAN HDFS [functional.alltypes_date_partition]
    partition predicates: date_col > DATE '2009-02-01'
    HDFS partitions=23/55 files=23 size=11.28KB
    predicates: timestamp_col > TIMESTAMP '2009-02-01 00:00:00', date_col = CAST(timestamp_col AS DATE)
    row-size=65B cardinality=21
 ====
	# Check that impossible conditions are detected
	select *
	from functional.alltypes a
	where a.string_col = "looooooooooooooooong string" and
	a.string_col = "mediumstring" and
	a.string_col = "a"
	---- PLAN
	PLAN-ROOT SINK
	\|
	00:EMPTYSET
	====
	# Test multiple forward propagation
	select * from functional.widetable_250_cols a
	where a.int_col1 = 10 and a.int_col2 = a.int_col1 + 1 and a.int_col3 = a.int_col2 * 5
	and a.int_col4 = a.int_col3 * 2;
	---- PLAN
	PLAN-ROOT SINK
	\|
	00:SCAN HDFS [functional.widetable_250_cols a]
	partitions=1/1 files=1 size=28.69KB
	predicates: a.int_col1 = 10, a.int_col2 = 11, a.int_col3 = 55, a.int_col4 = 110
	row-size=1.21KB cardinality=unavailable
	====
	# Test multiple forward propagation
	select * from functional.widetable_250_cols a
	where a.int_col1 = 10 and a.int_col2 = a.int_col1 + 1 and a.int_col3 = a.int_col2 * 5
	and a.int_col3 * -7 = a.int_col4
	---- PLAN
	PLAN-ROOT SINK
	\|
	00:SCAN HDFS [functional.widetable_250_cols a]
	partitions=1/1 files=1 size=28.69KB
	predicates: a.int_col1 = 10, a.int_col2 = 11, a.int_col3 = 55, a.int_col4 = -385
	row-size=1.21KB cardinality=unavailable
	====
	# Test multiple forward propagation
	select * from functional.widetable_250_cols a
	where a.int_col1 = 10 and a.int_col2 = a.int_col1 + 1 and a.int_col2 * 5 = a.int_col3
	and a.int_col3 * -9 = a.int_col4
	---- PLAN
	PLAN-ROOT SINK
	\|
	00:SCAN HDFS [functional.widetable_250_cols a]
	partitions=1/1 files=1 size=28.69KB
	predicates: a.int_col1 = 10, a.int_col2 = 11, a.int_col3 = 55, a.int_col4 = -495
	row-size=1.21KB cardinality=unavailable
	====
	# Test multiple forward propagation, and a reversed propagation
	# (which fails as we can't rewrite 55 = a.int_col4 / 10)
	select * from functional.widetable_250_cols a
	where a.int_col1 = 10 and a.int_col2 = a.int_col1 + 1 and a.int_col3 = a.int_col2 * 5
	and a.int_col4 / 10 = a.int_col3
	---- PLAN
	PLAN-ROOT SINK
	\|
	00:SCAN HDFS [functional.widetable_250_cols a]
	partitions=1/1 files=1 size=28.69KB
	predicates: a.int_col1 = 10, a.int_col2 = 11, a.int_col3 = 55, a.int_col4 / 10 = 55
	row-size=1.21KB cardinality=unavailable
	====
	# Another impossibility (a.int_col3 = a.int_col2 * 5 = a.int_col2 * -7)
	select * from functional.widetable_250_cols a
	where a.int_col1 = 10 and a.int_col2 = a.int_col1 + 1 and a.int_col3 = a.int_col2 * 5
	and a.int_col3 * -7 = a.int_col2;
	---- PLAN
	PLAN-ROOT SINK
	\|
	00:EMPTYSET
	====
	# An inline view which takes false conjuncts
	select count(*) from
	(select id, int_col from functional.alltypes) T
	where T.int_col = 10 and T.int_col = 12
	---- PLAN
	PLAN-ROOT SINK
	\|
	01:AGGREGATE [FINALIZE]
	\| output: count(*)
	\| row-size=8B cardinality=0
	\|
	00:EMPTYSET
	====
	# An inline view which becomes false at the scan node
	select count(*) from
	(select id, int_col from functional.alltypes where int_col = 10) T
	where T.int_col = 12
	---- PLAN
	PLAN-ROOT SINK
	\|
	01:AGGREGATE [FINALIZE]
	\| output: count(*)
	\| row-size=8B cardinality=0
	\|
	00:EMPTYSET
	====
	# Explicit casts are not considered for propagation
	select * from functional.alltypes a
	where cast(a.int_col as string) = 'abc' and cast(int_col as string) > 'xyz'
	---- PLAN
	PLAN-ROOT SINK
	\|
	00:SCAN HDFS [functional.alltypes a]
	partitions=24/24 files=24 size=478.45KB
	predicates: CAST(a.int_col AS STRING) = 'abc', CAST(int_col AS STRING) > 'xyz'
	row-size=89B cardinality=231
	====
	# Implicit casts are considered for propagation
	select * from functional.alltypes a
	where a.tinyint_col = 10000 and a.tinyint_col < 10000
	---- PLAN
	PLAN-ROOT SINK
	\|
	00:EMPTYSET
	====
	# Constant predicates always get removed
	select count(*) from
	(select sum(int_col) over(partition by int_col), int_col
	from functional.alltypes where int_col = 10 group by int_col limit 10) T
	where T.int_col = 12 and T.int_col > 1
	---- PLAN
	PLAN-ROOT SINK
	\|
	03:AGGREGATE [FINALIZE]
	\| output: count(*)
	\| row-size=8B cardinality=0
	\|
	02:SELECT
	\| predicates: int_col = 12, int_col > 1
	\| row-size=4B cardinality=0
	\|
	01:AGGREGATE [FINALIZE]
	\| group by: int_col
	\| limit: 10
	\| row-size=4B cardinality=10
	\|
	00:SCAN HDFS [functional.alltypes]
	partitions=24/24 files=24 size=478.45KB
	predicates: int_col = 10
	row-size=4B cardinality=730
	====
	# Many constant predicates removed
	select count(*) from
	(select * from functional.alltypes where int_col = 10) T
	where T.int_col = 10 and T.int_col > 1 and T.int_col = 10 and T.int_col = T.int_col
	and 2 * T.int_col = 20
	---- PLAN
	PLAN-ROOT SINK
	\|
	01:AGGREGATE [FINALIZE]
	\| output: count(*)
	\| row-size=8B cardinality=1
	\|
	00:SCAN HDFS [functional.alltypes]
	partitions=24/24 files=24 size=478.45KB
	predicates: int_col = 10
	row-size=4B cardinality=730
	====
	# All true predicates elided
	select count(*) from
	(select * from functional.alltypes) T
	where 2 * 5 = 10 and 3 - 11 = -8 and 7 * 5 = 35
	---- PLAN
	PLAN-ROOT SINK
	\|
	01:AGGREGATE [FINALIZE]
	\| output: count(*)
	\| row-size=8B cardinality=1
	\|
	00:SCAN HDFS [functional.alltypes]
	partitions=24/24 files=24 size=478.45KB
	row-size=0B cardinality=7.30K
	====
	# Many redundant / duplicate predicates
	select count(*) from
	(select * from functional.alltypes where int_col = 10) T
	where T.int_col = 10 and T.int_col > 1 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 1 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 2 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 3 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 4 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 5 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 6 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 7 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 8 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 9 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 1 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 2 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 3 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 4 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 5 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 6 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 7 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 8 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 9 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 1 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 2 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 3 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 4 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 5 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 6 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 7 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 8 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 9 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col and
	T.int_col = 10 and T.int_col > 0 and T.int_col = 10 and T.int_col = T.int_col
	---- PLAN
	PLAN-ROOT SINK
	\|
	01:AGGREGATE [FINALIZE]
	\| output: count(*)
	\| row-size=8B cardinality=1
	\|
	00:SCAN HDFS [functional.alltypes]
	partitions=24/24 files=24 size=478.45KB
	predicates: int_col = 10
	row-size=4B cardinality=730
	====
	# Non-trivial expr substitution (const false)
	select count(*) from
	(select * from functional.alltypes where int_col = 10) T
	where T.int_col = 10 and T.int_col > 1 and T.int_col = 10 and T.int_col = T.int_col and
	coalesce(NULL, T.int_col) + T.int_col * T.int_col = 100
	---- PLAN
	PLAN-ROOT SINK
	\|
	01:AGGREGATE [FINALIZE]
	\| output: count(*)
	\| row-size=8B cardinality=0
	\|
	00:EMPTYSET
	====
	# Non-trivial expr substitution (const true)
	select count(*) from
	(select * from functional.alltypes where int_col = 10) T
	where T.int_col = 10 and T.int_col > 1 and T.int_col = 10 and T.int_col = T.int_col and
	(coalesce(NULL, T.int_col) + T.int_col * T.int_col = 100 OR
	coalesce(NULL, T.int_col) + T.int_col = 20)
	---- PLAN
	PLAN-ROOT SINK
	\|
	01:AGGREGATE [FINALIZE]
	\| output: count(*)
	\| row-size=8B cardinality=1
	\|
	00:SCAN HDFS [functional.alltypes]
	partitions=24/24 files=24 size=478.45KB
	predicates: int_col = 10
	row-size=4B cardinality=730
	====
	# Non-trivial expr substitution (non-constant)
	select count(*) from
	(select * from functional.alltypes where int_col = 10) T
	where T.int_col = 10 and T.int_col > 1 and T.int_col = 10 and T.int_col = T.int_col and
	(coalesce(NULL, T.int_col) + random() * T.tinyint_col = 100 OR
	coalesce(NULL, T.int_col) + T.int_col = 20)
	---- PLAN
	PLAN-ROOT SINK
	\|
	01:AGGREGATE [FINALIZE]
	\| output: count(*)
	\| row-size=8B cardinality=1
	\|
	00:SCAN HDFS [functional.alltypes]
	partitions=24/24 files=24 size=478.45KB
	predicates: int_col = 10, TRUE OR 10 + random() * functional.alltypes.tinyint_col = 100
	row-size=5B cardinality=231
	====
	# Collection predicates within HDFS scan nodes get optimized
	select 1
	from tpch_nested_parquet.customer c, c.c_orders o, o.o_lineitems
	where l_partkey < l_suppkey and c.c_nationkey = 10 and o_orderkey = 4 and l_suppkey = 10
	---- PLAN
	PLAN-ROOT SINK
	\|
	01:SUBPLAN
	\| row-size=50B cardinality=600.00K
	\|
	\|--08:NESTED LOOP JOIN [CROSS JOIN]
	\| \| row-size=50B cardinality=100
	\| \|
	\| \|--02:SINGULAR ROW SRC
	\| \| row-size=14B cardinality=1
	\| \|
	\| 04:SUBPLAN
	\| \| row-size=36B cardinality=100
	\| \|
	\| \|--07:NESTED LOOP JOIN [CROSS JOIN]
	\| \| \| row-size=36B cardinality=10
	\| \| \|
	\| \| \|--05:SINGULAR ROW SRC
	\| \| \| row-size=20B cardinality=1
	\| \| \|
	\| \| 06:UNNEST [o.o_lineitems]
	\| \| row-size=0B cardinality=10
	\| \|
	\| 03:UNNEST [c.c_orders o]
	\| row-size=0B cardinality=10
	\|
	00:SCAN HDFS [tpch_nested_parquet.customer c]
	partitions=1/1 files=4 size=288.99MB
	predicates: c.c_nationkey = 10, !empty(c.c_orders)
	predicates on o: !empty(o.o_lineitems), o_orderkey = 4
	predicates on o_lineitems: l_partkey < 10, l_suppkey = 10
	row-size=14B cardinality=6.00K
	====
	# Nested predicates also get propagated
	select 1
	from tpch_nested_parquet.customer c, c.c_orders o, o.o_lineitems
	where l_partkey < l_suppkey and c.c_nationkey = 10 and o_orderkey = o_shippriority
	and l_suppkey = 10 and o_shippriority = c_nationkey
	---- PLAN
	PLAN-ROOT SINK
	\|
	01:SUBPLAN
	\| row-size=54B cardinality=600.00K
	\|
	\|--08:NESTED LOOP JOIN [INNER JOIN]
	\| \| join predicates: o_shippriority = c_nationkey
	\| \| row-size=54B cardinality=100
	\| \|
	\| \|--02:SINGULAR ROW SRC
	\| \| row-size=14B cardinality=1
	\| \|
	\| 04:SUBPLAN
	\| \| row-size=40B cardinality=100
	\| \|
	\| \|--07:NESTED LOOP JOIN [CROSS JOIN]
	\| \| \| row-size=40B cardinality=10
	\| \| \|
	\| \| \|--05:SINGULAR ROW SRC
	\| \| \| row-size=24B cardinality=1
	\| \| \|
	\| \| 06:UNNEST [o.o_lineitems]
	\| \| row-size=0B cardinality=10
	\| \|
	\| 03:UNNEST [c.c_orders o]
	\| row-size=0B cardinality=10
	\|
	00:SCAN HDFS [tpch_nested_parquet.customer c]
	partitions=1/1 files=4 size=288.99MB
	predicates: c.c_nationkey = 10, !empty(c.c_orders)
	predicates on o: !empty(o.o_lineitems), o.o_orderkey = 10, o.o_shippriority = 10
	predicates on o_lineitems: l_partkey < 10, l_suppkey = 10
	row-size=14B cardinality=6.00K
	====
	# Using IS NULL
	select count(*) from functional.alltypes where id = 10 and bool_col is null
	and id = bool_col;
	---- PLAN
	PLAN-ROOT SINK
	\|
	01:AGGREGATE [FINALIZE]
	\| output: count(*)
	\| row-size=8B cardinality=0
	\|
	00:EMPTYSET
	====
	# Using = null
	select count(*) from functional.alltypes where id = 10 and bool_col = null and id = bool_col
	---- PLAN
	PLAN-ROOT SINK
	\|
	01:AGGREGATE [FINALIZE]
	\| output: count(*)
	\| row-size=8B cardinality=0
	\|
	00:EMPTYSET
	====
	# IS NULL and >
	select count(*) from functional.alltypes where id > 0 and bool_col is null
	and id = bool_col;
	---- PLAN
	PLAN-ROOT SINK
	\|
	01:AGGREGATE [FINALIZE]
	\| output: count(*)
	\| row-size=8B cardinality=1
	\|
	00:SCAN HDFS [functional.alltypes]
	partitions=24/24 files=24 size=478.45KB
	predicates: bool_col IS NULL, functional.alltypes.id IS NULL, id > 0, functional.alltypes.bool_col > 0, id = bool_col
	row-size=5B cardinality=730
	====
	# = NULL and >
	select count(*) from functional.alltypes where id > 0 and bool_col = null
	and id = bool_col
	---- PLAN
	PLAN-ROOT SINK
	\|
	01:AGGREGATE [FINALIZE]
	\| output: count(*)
	\| row-size=8B cardinality=0
	\|
	00:EMPTYSET
	====
	# IMPALA-10064
	# Constant propagation for range predicates on timestamp.
	# Also enables partition pruning.
	select * from functional.alltypes_date_partition
	where date_col = cast(timestamp_col as date)
	and timestamp_col between '2009-01-01' and '2009-02-01';
	---- PLAN
	PLAN-ROOT SINK
	\|
	00:SCAN HDFS [functional.alltypes_date_partition]
	partition predicates: date_col >= DATE '2009-01-01' AND date_col <= DATE '2009-02-01'
	HDFS partitions=32/55 files=32 size=15.99KB
	predicates: timestamp_col <= TIMESTAMP '2009-02-01 00:00:00', timestamp_col >= TIMESTAMP '2009-01-01 00:00:00', date_col = CAST(timestamp_col AS DATE)
	row-size=65B cardinality=30
	====
	# Same as above but using a WITH clause (to emulate views)
	with dp_view as
	(select * from functional.alltypes_date_partition
	where date_col = cast(timestamp_col as date))
	select * from dp_view
	where timestamp_col between '2009-01-01' and '2009-02-01';
	---- PLAN
	PLAN-ROOT SINK
	\|
	00:SCAN HDFS [functional.alltypes_date_partition]
	partition predicates: date_col >= DATE '2009-01-01' AND date_col <= DATE '2009-02-01'
	HDFS partitions=32/55 files=32 size=15.99KB
	predicates: functional.alltypes_date_partition.timestamp_col <= TIMESTAMP '2009-02-01 00:00:00', functional.alltypes_date_partition.timestamp_col >= TIMESTAMP '2009-01-01 00:00:00', date_col = CAST(timestamp_col AS DATE)
	row-size=65B cardinality=30
	====
	# Mix of various predicates some of which are eligible for propagation
	with dp_view as
	(select * from functional.alltypes_date_partition
	where date_col = cast(timestamp_col as date))
	select * from dp_view
	where int_col < 100 and timestamp_col >= '2009-01-01'
	and bigint_col in (5, 10)
	and timestamp_col <= '2009-02-01';
	---- PLAN
	PLAN-ROOT SINK
	\|
	00:SCAN HDFS [functional.alltypes_date_partition]
	partition predicates: date_col >= DATE '2009-01-01' AND date_col <= DATE '2009-02-01'
	HDFS partitions=32/55 files=32 size=15.99KB
	predicates: functional.alltypes_date_partition.bigint_col IN (5, 10), functional.alltypes_date_partition.int_col < 100, functional.alltypes_date_partition.timestamp_col <= TIMESTAMP '2009-02-01 00:00:00', functional.alltypes_date_partition.timestamp_col >= TIMESTAMP '2009-01-01 00:00:00', date_col = CAST(timestamp_col AS DATE)
	row-size=65B cardinality=13
	====
	# Mix of predicates. Propagate equality constant predicates to
	# one set of conjuncts and range predicates to date/timestamp
	select * from functional.alltypes_date_partition
	where date_col = cast(timestamp_col as date)
	and int_col = bigint_col + 1
	and timestamp_col >= '2009-01-01'
	and bigint_col = 100
	and timestamp_col <= '2009-02-01';
	---- PLAN
	PLAN-ROOT SINK
	\|
	00:SCAN HDFS [functional.alltypes_date_partition]
	partition predicates: date_col >= DATE '2009-01-01' AND date_col <= DATE '2009-02-01'
	HDFS partitions=32/55 files=32 size=15.99KB
	predicates: bigint_col = 100, int_col = 101, timestamp_col <= TIMESTAMP '2009-02-01 00:00:00', timestamp_col >= TIMESTAMP '2009-01-01 00:00:00', date_col = CAST(timestamp_col AS DATE)
	row-size=65B cardinality=4
	====
	# Swapped order of <constant> <op> <column>.
	# Should create the same plan with the constant propagated.
	with dp_view as
	(select * from functional.alltypes_date_partition
	where date_col = cast(timestamp_col as date))
	select * from dp_view
	where int_col = bigint_col + 1
	and '2009-01-01' <= timestamp_col
	and bigint_col = 100
	and '2009-02-01' >= timestamp_col
	---- PLAN
	PLAN-ROOT SINK
	\|
	00:SCAN HDFS [functional.alltypes_date_partition]
	partition predicates: date_col >= DATE '2009-01-01' AND date_col <= DATE '2009-02-01'
	HDFS partitions=32/55 files=32 size=15.99KB
	predicates: functional.alltypes_date_partition.bigint_col = 100, functional.alltypes_date_partition.int_col = 101, functional.alltypes_date_partition.timestamp_col <= TIMESTAMP '2009-02-01 00:00:00', functional.alltypes_date_partition.timestamp_col >= TIMESTAMP '2009-01-01 00:00:00', date_col = CAST(timestamp_col AS DATE)
	row-size=65B cardinality=4
	====
	# Constant propagation for equality predicates on timestamp.
	select * from functional.alltypes_date_partition
	where date_col = cast(timestamp_col as date)
	and timestamp_col = '2009-01-01';
	---- PLAN
	PLAN-ROOT SINK
	\|
	00:SCAN HDFS [functional.alltypes_date_partition]
	partition predicates: date_col = DATE '2009-01-01'
	HDFS partitions=1/55 files=1 size=257B
	predicates: timestamp_col = TIMESTAMP '2009-01-01 00:00:00'
	row-size=65B cardinality=1
	====
	# Don't do constant propagation if range predicate is not on
	# timestamp or date column
	select * from functional.alltypes_date_partition
	where bigint_col = cast(int_col as bigint)
	and int_col > 5;
	---- PLAN
	PLAN-ROOT SINK
	\|
	00:SCAN HDFS [functional.alltypes_date_partition]
	HDFS partitions=55/55 files=55 size=27.27KB
	predicates: int_col > 5, bigint_col = CAST(int_col AS BIGINT)
	row-size=65B cardinality=50
	====
	# Constant propagation when a timestamp function is used.
	select * from functional.alltypes_date_partition
	where date_col = cast(timestamp_col as date)
	and timestamp_col > from_timestamp('2009-02-01 00:02:00', 'yyyy-mm-dd');
	---- PLAN
	PLAN-ROOT SINK
	\|
	00:SCAN HDFS [functional.alltypes_date_partition]
	partition predicates: date_col > DATE '2009-02-01'
	HDFS partitions=23/55 files=23 size=11.28KB
	predicates: timestamp_col > TIMESTAMP '2009-02-01 00:00:00', date_col = CAST(timestamp_col AS DATE)
	row-size=65B cardinality=21
	====