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c7fa03286b
Adds initial support for the functional-query test workload
for Kudu tables.
There are a few issues that make loading the functional
schema difficult on Kudu:
1) Kudu tables must have one or more columns that together
constitute a unique primary key.
a) Primary key columns must currently be the first columns
in the table definition (KUDU-1271).
b) Primary key columns cannot be nullable (KUDU-1570).
2) Kudu tables must be specified with distribution
parameters.
(1) limits the tables that can be loaded without ugly
workarounds. This patch only includes important tables that
are used for relevant tests, most notably the alltypes*
family. In particular, alltypesagg is important but it does
not have a set of columns that are non-nullable and form a unique
primary key. As a result, that table is created in Kudu with
a different name and an additional BIGINT column for a PK
that is a unique index and is generated at data loading time
using the ROW_NUMBER analytic function. A view is then
wrapped around the underlying table that matches the
alltypesagg schema exactly. When KUDU-1570 is resolved, this
can be simplified.
(2) requires some additional considerations and custom
syntax. As a result, the DDL to create the tables is
explicitly specified in CREATE_KUDU sections in the
functional_schema_constraints.csv, and an additional
DEPENDENT_LOAD_KUDU section was added to specify custom data
loading DML that differs from the existing DEPENDENT_LOAD.
TODO: IMPALA-4005: generate_schema_statements.py needs refactoring
Tests that are not relevant or not yet supported have been
marked with xfail and a skip where appropriate.
TODO: Support remaining functional tables/tests when possible.
Change-Id: Iada88e078352e4462745d9a9a1b5111260d21acc
Reviewed-on: http://gerrit.cloudera.org:8080/4175
Reviewed-by: Matthew Jacobs <mj@cloudera.com>
Tested-by: Internal Jenkins
626 B
626 B
| 1 | # Manually created file. |
|---|---|
| 2 | file_format:text, dataset:functional, compression_codec:none, compression_type:none |
| 3 | file_format:seq, dataset:functional, compression_codec:snap, compression_type:block |
| 4 | file_format:rc, dataset: functional, compression_codec: snap, compression_type: block |
| 5 | file_format:parquet, dataset: functional, compression_codec: none, compression_type: none |
| 6 | file_format:avro, dataset: functional, compression_codec: snap, compression_type: block |
| 7 | file_format:hbase, dataset:functional, compression_codec:none, compression_type:none |
| 8 | file_format:kudu, dataset:functional, compression_codec:none, compression_type:none |