blob: 05552d29ad09f80a6708e55eb4f66fabbebcd28d [file] [log] [blame]
====
---- QUERY
set buffer_pool_limit=10m;
select l_orderkey, count(*)
from lineitem
group by 1
order by 1 limit 10
---- RESULTS
1,6
2,1
3,6
4,1
5,3
6,1
7,7
32,6
33,4
34,3
---- TYPES
BIGINT, BIGINT
---- RUNTIME_PROFILE
# Verify that spilling and passthrough were activated.
row_regex: .*SpilledPartitions: .* \([1-9][0-9]*\)
row_regex: .*RowsPassedThrough: .* \([1-9][0-9]*\)
====
---- QUERY
# Test query with string grouping column and string agg columns
set buffer_pool_limit=10m;
set num_nodes=1;
select l_returnflag, l_orderkey, avg(l_tax), min(l_shipmode)
from lineitem
group by 1,2
order by 1,2 limit 3
---- RESULTS
'A',3,0.05,'RAIL'
'A',5,0.03,'AIR'
'A',6,0.03,'TRUCK'
---- TYPES
STRING, BIGINT, DECIMAL, STRING
---- RUNTIME_PROFILE
row_regex: .*SpilledPartitions: .* \([1-9][0-9]*\)
row_regex: .*NumRepartitions: .* \([1-9][0-9]*\)
====
---- QUERY
set buffer_pool_limit=10m;
select l_orderkey, count(*)
from lineitem
group by 1
order by 1 limit 10;
---- RESULTS
1,6
2,1
3,6
4,1
5,3
6,1
7,7
32,6
33,4
34,3
---- TYPES
BIGINT, BIGINT
---- RUNTIME_PROFILE
row_regex: .*SpilledPartitions: .* \([1-9][0-9]*\)
row_regex: .*RowsPassedThrough: .* \([1-9][0-9]*\)
====
---- QUERY
# Test query with string grouping column
set buffer_pool_limit=10m;
set num_nodes=1;
select l_comment, count(*)
from lineitem
group by 1
order by count(*) desc limit 5
---- RESULTS
' furiously',943
' carefully',893
' carefully ',875
'carefully ',854
' furiously ',845
---- TYPES
STRING, BIGINT
---- RUNTIME_PROFILE
row_regex: .*SpilledPartitions: .* \([1-9][0-9]*\)
row_regex: .*NumRepartitions: .* \([1-9][0-9]*\)
====
---- QUERY
# Test query with string grouping column and string agg columns
set buffer_pool_limit=10m;
set num_nodes=1;
select l_returnflag, l_orderkey, round(avg(l_tax),2), min(l_shipmode)
from lineitem
group by 1,2
order by 1,2 limit 3;
---- RESULTS
'A',3,0.05,'RAIL'
'A',5,0.03,'AIR'
'A',6,0.03,'TRUCK'
---- TYPES
STRING, BIGINT, DECIMAL, STRING
---- RUNTIME_PROFILE
# Verify that spilling happened in the agg.
row_regex: .*SpilledPartitions: .* \([1-9][0-9]*\)
row_regex: .*NumRepartitions: .* \([1-9][0-9]*\)
====
---- QUERY
# Test with non-scalar intermediate state (avg() uses fixed intermediate value).
set buffer_pool_limit=10m;
select l_orderkey, avg(l_orderkey)
from lineitem
group by 1
order by 1 limit 5
---- RESULTS
1,1
2,2
3,3
4,4
5,5
---- TYPES
BIGINT, DOUBLE
---- RUNTIME_PROFILE
# Verify that passthrough and spilling happened in the pre and merge agg.
row_regex: .*SpilledPartitions: .* \([1-9][0-9]*\)
row_regex: .*RowsPassedThrough: .* \([1-9][0-9]*\)
====
---- QUERY
# Test aggregation spill with group_concat distinct
set buffer_pool_limit=30m;
select l_orderkey, count(*), group_concat(distinct l_linestatus, '|')
from lineitem
group by 1
order by 1 limit 10
---- RESULTS
1,6,'O'
2,1,'O'
3,6,'F'
4,1,'O'
5,3,'F'
6,1,'F'
7,7,'O'
32,6,'O'
33,4,'F'
34,3,'O'
---- TYPES
BIGINT, BIGINT, STRING
---- RUNTIME_PROFILE
# Verify that at least one of the aggs spilled.
row_regex: .*SpilledPartitions: .* \([1-9][0-9]*\)
====
---- QUERY
# Regression test for IMPALA-2612. The following query will cause CastToChar
# to be invoked when building the hash tables in partitioned aggregation
# nodes. CastToChar will do "local" memory allocation. Without the fix of
# IMPALA-2612, the peak memory consumption will be higher.
set mem_limit=800m;
set num_scanner_threads=1;
select count(distinct concat(cast(l_comment as char(120)), cast(l_comment as char(120)),
cast(l_comment as char(120)), cast(l_comment as char(120)),
cast(l_comment as char(120)), cast(l_comment as char(120))))
from lineitem
---- RESULTS
4502054
---- TYPES
BIGINT
---- RUNTIME_PROFILE
# Verify that the agg spilled.
row_regex: .*SpilledPartitions: .* \([1-9][0-9]*\)
====
---- QUERY
# Test aggregation with minimum required reservation to exercise IMPALA-2708.
# Merge aggregation requires 17 buffers and preaggregation requires 16 buffers
# plus 1mb of hash tables. The buffer size is 256k for this test.
set max_row_size=256k;
set buffer_pool_limit=9472k;
select count(*)
from (select distinct * from orders) t
---- TYPES
BIGINT
---- RESULTS
1500000
---- RUNTIME_PROFILE
row_regex: .*SpilledPartitions: .* \([1-9][0-9]*\)
====
---- QUERY
# IMPALA-3304: test that avg() can spill with a query mem limit.
# This test only covers that use FIXED_UDA_INTERMEDIATE, not functions that allocate
# strings for intermediate values.
set mem_limit=150m;
select l_orderkey, avg(l_tax), avg(l_quantity), avg(l_discount), avg(l_extendedprice)
from tpch_parquet.lineitem
group by 1
order by avg(l_extendedprice) desc, avg(l_discount)
limit 5
---- TYPES
BIGINT,DECIMAL,DECIMAL,DECIMAL,DECIMAL
---- RESULTS
3811460,0.05,50.00,0.05,104899.50
1744195,0.04,50.00,0.09,104649.50
5151266,0.07,50.00,0.00,104449.50
4571042,0.03,50.00,0.09,104399.50
1198304,0.01,50.00,0.02,104299.50
---- RUNTIME_PROFILE
row_regex: .*SpilledPartitions: .* \([1-9][0-9]*\)
====