IMPALA-10898: Add runtime IN-list filters for ORC tables

ORC files have optional bloom filter indexes for each column. Since
ORC-1.7.0, the C++ reader supports pushing down predicates to skip
unreleated RowGroups. The pushed down predicates will be evaludated on
file indexes (i.e. statistics and bloom filter indexes). Note that only
EQUALS and IN-list predicates can leverage bloom filter indexes.

Currently Impala has two kinds of runtime filters: bloom filter and
min-max filter. Unfortunately they can't be converted into EQUALS or
IN-list predicates. So they can't leverage the file level bloom filter
indexes.

This patch adds runtime IN-list filters for this purpose. Currently they
are generated for the build side of a broadcast join. They will only be
applied on ORC tables and be pushed down to the ORC reader(i.e. ORC
lib). To avoid exploding the IN-list, if # of distinct values of the
build side exceeds a threshold (default to 1024), we set the filter to
ALWAYS_TRUE and clear its entry. The threshold can be configured by a
new query option, RUNTIME_IN_LIST_FILTER_ENTRY_LIMIT.

Evaluating runtime IN-list filters is much slower than evaluating
runtime bloom filters due to the current simple implementation (i.e.
std::unorder_set) and the lack of codegen. So we disable it at row
level.

For visibility, this patch addes two counters in the HdfsScanNode:
 - NumPushedDownPredicates
 - NumPushedDownRuntimeFilters
They reflect the predicates and runtime filters that are pushed down to
the ORC reader.

Currently, runtime IN-list filters are disabled by default. This patch
extends the query option, ENABLED_RUNTIME_FILTER_TYPES, to support a
comma separated list of filter types. It defaults to be "BLOOM,MIN_MAX".
Add "IN_LIST" in it to enable runtime IN-list filters.

Ran perf tests on a 3 instances cluster on my desktop using TPC-DS with
scale factor 20. It shows significant improvements in some queries:

+-----------+-------------+--------------------+--------+-------------+------------+------------+----------------+-------+----------------+---------+--------+
| Workload  | Query       | File Format        | Avg(s) | Base Avg(s) | Delta(Avg) | StdDev(%)  | Base StdDev(%) | Iters | Median Diff(%) | MW Zval | Tval   |
+-----------+-------------+--------------------+--------+-------------+------------+------------+----------------+-------+----------------+---------+--------+
| TPCDS(20) | TPCDS-Q67A  | orc / snap / block | 35.07  | 44.01       | I -20.32%  |   0.38%    |   1.38%        | 10    | I -25.69%      | -3.58   | -45.33 |
| TPCDS(20) | TPCDS-Q37   | orc / snap / block | 1.08   | 1.45        | I -25.23%  |   7.14%    |   3.09%        | 10    | I -34.09%      | -3.58   | -12.94 |
| TPCDS(20) | TPCDS-Q70A  | orc / snap / block | 6.30   | 8.60        | I -26.81%  |   5.24%    |   4.21%        | 10    | I -36.67%      | -3.58   | -14.88 |
| TPCDS(20) | TPCDS-Q16   | orc / snap / block | 1.33   | 1.85        | I -28.28%  |   4.98%    |   5.92%        | 10    | I -39.38%      | -3.58   | -12.93 |
| TPCDS(20) | TPCDS-Q18A  | orc / snap / block | 5.70   | 8.06        | I -29.25%  |   3.00%    |   4.12%        | 10    | I -40.30%      | -3.58   | -19.95 |
| TPCDS(20) | TPCDS-Q22A  | orc / snap / block | 2.01   | 2.97        | I -32.21%  |   6.12%    |   5.94%        | 10    | I -47.68%      | -3.58   | -14.05 |
| TPCDS(20) | TPCDS-Q77A  | orc / snap / block | 8.49   | 12.44       | I -31.75%  |   6.44%    |   3.96%        | 10    | I -49.71%      | -3.58   | -16.97 |
| TPCDS(20) | TPCDS-Q75   | orc / snap / block | 7.76   | 12.27       | I -36.76%  |   5.01%    |   3.87%        | 10    | I -59.56%      | -3.58   | -23.26 |
| TPCDS(20) | TPCDS-Q21   | orc / snap / block | 0.71   | 1.27        | I -44.26%  |   4.56%    |   4.24%        | 10    | I -77.31%      | -3.58   | -28.31 |
| TPCDS(20) | TPCDS-Q80A  | orc / snap / block | 9.24   | 20.42       | I -54.77%  |   4.03%    |   3.82%        | 10    | I -123.12%     | -3.58   | -40.90 |
| TPCDS(20) | TPCDS-Q39-1 | orc / snap / block | 1.07   | 2.26        | I -52.74%  | * 23.83% * |   2.60%        | 10    | I -149.68%     | -3.58   | -14.43 |
| TPCDS(20) | TPCDS-Q39-2 | orc / snap / block | 1.00   | 2.33        | I -56.95%  | * 19.53% * |   2.07%        | 10    | I -151.89%     | -3.58   | -20.81 |
+-----------+-------------+--------------------+--------+-------------+------------+------------+----------------+-------+----------------+---------+--------+
"Base Avg" is the avg of the original time. "Avg" is the current time.

However, we also see some regressions due to the suboptimal
implementation. The follow-up JIRAs will focus on improvements:
 - IMPALA-11140: Codegen InListFilter::Insert() and InListFilter::Find()
 - IMPALA-11141: Use exact data types in IN-list filters instead of
   casting data to a set of int64_t or a set of string.
 - IMPALA-11142: Consider IN-list filters in partitioned joins.

Tests:
 - Test IN-list filter on string, date and all integer types
 - Test IN-list filter with NULL
 - Test IN-list filter on complex exprs targets

Change-Id: I25080628233799aa0b6be18d5a832f1385414501
Reviewed-on: http://gerrit.cloudera.org:8080/18141
Reviewed-by: Qifan Chen <qchen@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>

testdata/datasets/functional/functional_schema_template.sql

@@ -271,6 +271,21 @@ FROM {db_name}.{table_name};
 ---- DATASET
 functional
 ---- BASE_TABLE_NAME
+alltypestiny_negative
+---- CREATE
+CREATE TABLE IF NOT EXISTS {db_name}{db_suffix}.{table_name}
+LIKE {db_name}{db_suffix}.alltypestiny STORED AS {file_format};
+---- DEPENDENT_LOAD_HIVE
+INSERT OVERWRITE TABLE {db_name}{db_suffix}.{table_name} partition (year, month)
+SELECT id, bool_col,
+       -tinyint_col, -smallint_col, -int_col, -bigint_col, -float_col, -double_col,
+       date_string_col, 'x', timestamp_col, year, month
+FROM functional.alltypestiny
+WHERE int_col = 1;
+====
+---- DATASET
+functional
+---- BASE_TABLE_NAME
 alltypesinsert
 ---- CREATE
 CREATE TABLE IF NOT EXISTS {db_name}{db_suffix}.{table_name}