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impala/testdata/workloads/functional-query/queries/QueryTest/parquet-abort-on-error.test
Alex Behm bce6b2b422 IMPALA-2736: Basic column-wise slot materialization in Parquet scanner.
This change is a first step towards a more efficient Parquet scanner.
The focus is on presenting the new code flow that materializes
the table-level slots in a column-wise fashion, without going deep
into actually improving scan efficieny.

After these changes there are several obvious places that should
be optimized to realize efficiency gains.

Summary of changes
- the table-level tuples are materialized in a column-wise fashion
  with new ColumnReader::ReadValueBatch() functions
- this is done by materializing a 'scratch' batch, and transferring
  scratch tuples that survive filters/conjuncts to the output batch
- the tuples of nested collections are still materialized in
  a row-wise fashion using the ColumnReader::ReadValue() function,
  just as before

Mini benchmark
I ran the following queries on a single impalad before and after my
change using a synthetic 'huge_lineitem' table.
I modified hdfs-scan-node.cc to set the number of rows of any row
batch to 0 to focus the measurement on the scan time.

Query options:
set num_scanner_threads=1;
set disable_codegen=true;
set num_nodes=1;

select * from huge_lineitem;
Before: 22.39s
Afer:   18.50s

select * from huge_lineitem where l_linenumber < 0;
Before: 25.11s
After:  20.56s

select * from huge_lineitem where l_linenumber % 2 = 0;
Before: 26.32s
After:  21.82s

Change-Id: I72a613fa805c542e39df20588fb25c57b5f139aa
Reviewed-on: http://gerrit.cloudera.org:8080/2779
Reviewed-by: Alex Behm <alex.behm@cloudera.com>
Tested-by: Internal Jenkins
2016-05-12 14:17:48 -07:00

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====
---- QUERY
# IMPALA-2558: Trigger bad parse_status_ in HdfsParquetScanner::AssembleRows().
# Abort on error must be used to trigger a status.
# Set a single node and scanner thread to make this test deterministic.
set num_nodes=1;
set num_scanner_threads=1;
select id, cnt from bad_column_metadata t, (select count(*) cnt from t.int_array) v
---- CATCH
Column metadata states there are 50 values, but read 100 values from column element.
====
---- QUERY
# IMPALA-2558. Same as above but only selecting a scalar column.
set num_nodes=1;
set num_scanner_threads=1;
select id from bad_column_metadata
---- CATCH
Column metadata states there are 11 values, but read 10 values from column id.
====