Files
impala/testdata/workloads/functional-query/queries/QueryTest/alloc-fail-init.test
Tim Armstrong 852e1bb728 IMPALA-3931: arbitrary fixed-size uda intermediate types
Make many builtin aggregate functions use fixed-length intermediate
types:
* avg()
* ndv()
* stddev(), variance(), etc
* distinctpc(), distinctpcsa()

sample(), appx_median(), histogram() and group_concat() actually
allocate var-len data so aren't changed.

This has some major benefits:
* Spill-to-disk works properly with these aggregations.
* Aggregations are more efficient because there is one less pointer
  indirection.
* Aggregations use less memory, because we don't need an extra 12-byte
  StringValue for the indirection.

Adds a special-purpose internal type FIXED_UDA_INTERMEDIATE. The type
is represented in the same way as CHAR - a fixed-size array of bytes,
stored inline in tuples. However, it is not user-visible and does
not support CHAR semantics, i.e. users can't declare tables, functions,
etc with the type. The pointer and length is passed into aggregate functions
wrapped in a StringVal.

Updates some internal codegen functions to work better with the new
type. E.g. store values directly into the result tuple instead of
via an intermediate stack allocation.

Testing:
This change only affects builtin aggregate functions, for which we
have test coverage already. If we were to allow wider use of this type,
it would need further testing.

Added an analyzer test to ensure we can't use the type for UDAs.

Added a regression test for spilling avg().

Added a regression test for UDA with CHAR intermediate hitting DCHECK.

Perf:
Ran TPC-H locally. TPC-H Q17, which has a high-cardinality AVG(),
improved dramatically.

+----------+-----------------------+---------+------------+------------+----------------+
| Workload | File Format           | Avg (s) | Delta(Avg) | GeoMean(s) | Delta(GeoMean) |
+----------+-----------------------+---------+------------+------------+----------------+
| TPCH(60) | parquet / none / none | 18.44   | -17.54%    | 11.92      | -5.34%         |
+----------+-----------------------+---------+------------+------------+----------------+

+----------+----------+-----------------------+--------+-------------+------------+-----------+----------------+-------------+-------+
| Workload | Query    | File Format           | Avg(s) | Base Avg(s) | Delta(Avg) | StdDev(%) | Base StdDev(%) | Num Clients | Iters |
+----------+----------+-----------------------+--------+-------------+------------+-----------+----------------+-------------+-------+
| TPCH(60) | TPCH-Q12 | parquet / none / none | 18.40  | 17.64       | +4.32%     |   0.77%   |   1.09%        | 1           | 5     |
| TPCH(60) | TPCH-Q22 | parquet / none / none | 7.07   | 6.90        | +2.36%     |   0.28%   |   0.30%        | 1           | 5     |
| TPCH(60) | TPCH-Q3  | parquet / none / none | 12.37  | 12.11       | +2.10%     |   0.18%   |   0.15%        | 1           | 5     |
| TPCH(60) | TPCH-Q7  | parquet / none / none | 42.48  | 42.09       | +0.93%     |   2.45%   |   0.80%        | 1           | 5     |
| TPCH(60) | TPCH-Q6  | parquet / none / none | 3.18   | 3.15        | +0.89%     |   0.67%   |   0.76%        | 1           | 5     |
| TPCH(60) | TPCH-Q19 | parquet / none / none | 7.24   | 7.20        | +0.50%     |   0.95%   |   0.67%        | 1           | 5     |
| TPCH(60) | TPCH-Q10 | parquet / none / none | 13.37  | 13.30       | +0.50%     |   0.48%   |   1.39%        | 1           | 5     |
| TPCH(60) | TPCH-Q5  | parquet / none / none | 7.47   | 7.44        | +0.36%     |   0.58%   |   0.54%        | 1           | 5     |
| TPCH(60) | TPCH-Q11 | parquet / none / none | 2.03   | 2.02        | +0.06%     |   0.26%   |   1.95%        | 1           | 5     |
| TPCH(60) | TPCH-Q4  | parquet / none / none | 5.48   | 5.50        | -0.27%     |   0.62%   |   1.12%        | 1           | 5     |
| TPCH(60) | TPCH-Q13 | parquet / none / none | 22.11  | 22.18       | -0.31%     |   0.18%   |   0.55%        | 1           | 5     |
| TPCH(60) | TPCH-Q15 | parquet / none / none | 8.45   | 8.48        | -0.32%     |   0.40%   |   0.47%        | 1           | 5     |
| TPCH(60) | TPCH-Q9  | parquet / none / none | 33.39  | 33.66       | -0.81%     |   0.75%   |   0.59%        | 1           | 5     |
| TPCH(60) | TPCH-Q21 | parquet / none / none | 71.34  | 72.07       | -1.01%     |   1.84%   |   1.79%        | 1           | 5     |
| TPCH(60) | TPCH-Q14 | parquet / none / none | 5.93   | 6.00        | -1.07%     |   0.15%   |   0.69%        | 1           | 5     |
| TPCH(60) | TPCH-Q20 | parquet / none / none | 5.72   | 5.79        | -1.09%     |   0.59%   |   0.51%        | 1           | 5     |
| TPCH(60) | TPCH-Q18 | parquet / none / none | 45.42  | 45.93       | -1.10%     |   1.42%   |   0.50%        | 1           | 5     |
| TPCH(60) | TPCH-Q2  | parquet / none / none | 4.81   | 4.89        | -1.52%     |   1.68%   |   1.01%        | 1           | 5     |
| TPCH(60) | TPCH-Q16 | parquet / none / none | 5.41   | 5.52        | -1.98%     |   0.66%   |   0.73%        | 1           | 5     |
| TPCH(60) | TPCH-Q1  | parquet / none / none | 27.58  | 29.13       | -5.34%     |   0.24%   |   1.51%        | 1           | 5     |
| TPCH(60) | TPCH-Q8  | parquet / none / none | 12.61  | 14.30       | -11.78%    |   6.20%   | * 15.28% *     | 1           | 5     |
| TPCH(60) | TPCH-Q17 | parquet / none / none | 43.74  | 126.58      | I -65.44%  |   1.34%   |   9.60%        | 1           | 5     |
+----------+----------+-----------------------+--------+-------------+------------+-----------+----------------+-------------+-------+

Change-Id: Ife90cf27989f98ffb5ef5c39f1e09ce92e8cb87c
Reviewed-on: http://gerrit.cloudera.org:8080/7526
Tested-by: Impala Public Jenkins
Reviewed-by: Tim Armstrong <tarmstrong@cloudera.com>
2017-08-17 03:12:48 +00:00

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====
---- QUERY
# TODO: IMPALA-3350: Add 'group by' to these tests to exercise different code paths.
select min(string_col) from functional.alltypes
---- CATCH
FunctionContext::Allocate() failed to allocate 1 bytes.
====
---- QUERY
select max(string_col) from functional.alltypes
---- CATCH
FunctionContext::Allocate() failed to allocate 1 bytes.
====
---- QUERY
select sample(timestamp_col) from functional.alltypes
---- CATCH
FunctionContext::Allocate() failed to allocate 248 bytes.
====
---- QUERY
select group_concat(string_col) from functional.alltypes
---- CATCH
FunctionContext::Allocate() failed to allocate 4 bytes.
====
---- QUERY
select extract(year from timestamp_col) from functional.alltypes limit 10
---- CATCH
FunctionContextImpl::AllocateLocal() failed to allocate 4 bytes.
====
---- QUERY
select trunc(timestamp_col, 'YEAR') from functional.alltypes limit 10
---- CATCH
FunctionContextImpl::AllocateLocal() failed to allocate 4 bytes.
====
---- QUERY
select first_value(string_col) over (partition by month order by year) from functional.alltypes
---- CATCH
FunctionContext::Allocate() failed to allocate 1 bytes.
====
---- QUERY
select last_value(string_col) over (partition by month order by year) from functional.alltypes
---- CATCH
FunctionContext::Allocate() failed to allocate 1 bytes.
====
---- QUERY
select rand() from functional.alltypes;
---- CATCH
FunctionContext::Allocate() failed to allocate 4 bytes.
====
---- QUERY
select case when min(int_col) = 0 then 0 end from functional.alltypes
---- CATCH
FunctionContext::Allocate() failed to allocate 16 bytes.
====
---- QUERY
select cast(string_col as char(120)) from functional.alltypes
---- CATCH
FunctionContextImpl::AllocateLocal() failed to allocate 120 bytes.
====
---- QUERY
select appx_median(int_col) from functional.alltypes
---- CATCH
FunctionContext::Allocate() failed to allocate 248 bytes.
====