Adds a query option 'strict_mode' which treats integer and
floating pt overflows as parse errors. In the past,
overflows were ignored and the max value was returned. When
this query option is set, overflowing values are treated as if
they were completely invalid data, i.e. NULL is returned.
When abort_on_error is enabled, this means the query is
aborted.
Notes:
* DECIMAL overflow/underflow is already treated as an error.
* The handling in text-converter treats underflows the same
as overflows, so they would result in the same behavior.
However, floating point parsing never returns an underflow
today.
* We may also want to handle numeric values that are truncated
when parsing to integer types, e.g. 10.5 -> 10.
Change-Id: I7409c31ec0cb6fe0b2d9842b9f58fe1670914836
Reviewed-on: http://gerrit.cloudera.org:8080/3150
Reviewed-by: Matthew Jacobs <mj@cloudera.com>
Tested-by: Internal Jenkins
Fixes tests in show.test that executes 'show files' on the
'insert_string_partitioned' table in our functional db. The expected
output relied on modifications to 'insert_string_partitioned' made
in test_insert.py. Tests should not rely on the overall ordering
of test execution.
This patch also fixes 'show files' to produce a consistently ordered
output.
Change-Id: Ic736b94b70677b0e3f4f8a9838ffdfdde2ba17ab
Reviewed-on: http://gerrit.cloudera.org:8080/1748
Reviewed-by: Alex Behm <alex.behm@cloudera.com>
Tested-by: Internal Jenkins
The original purpose of the escapechartesttable was to test
Impala's behavior on text tables that have the same character
as line terminator and escape character. Recent changes in
Hive have made creating such a table impossible because
1) Only newline is allowed as the line terminator
2) Newline is forbidden as the escape character
See HIVE-11785 for details on the Hive changes.
This commit removes escapechartesttable and all associated
tests, but does not add the same enforcement rules as Hive.
These enforcement rules should be added in a follow-on change.
Change-Id: I2bd9755f4c2cc3d7dfd8d67c3759885951550f08
Reviewed-on: http://gerrit.cloudera.org:8080/1690
Reviewed-by: Alex Behm <alex.behm@cloudera.com>
Tested-by: Alex Behm <alex.behm@cloudera.com>
As part of change, refactor catalog and frontend functions to return
TDatabase/Db objects instead of just the string names of databases -
this required a lot of method/variable renamings.
Add test for creating database with comment. Modify existing tests
that assumed only a single column in SHOW DATABASES results.
Change-Id: I400e99b0aa60df24e7f051040074e2ab184163bf
Reviewed-on: http://gerrit.cloudera.org:8080/620
Reviewed-by: Tim Armstrong <tarmstrong@cloudera.com>
Tested-by: Internal Jenkins
The SHOW DATA SOURCE tests were run as part of the other SHOW * tests
in test_show(), but the setup/cleanup for data sources can't be run
in parallel. This change moves the SHOW DATA SOURCE tests into a separate
test method and the setup/cleanup code is only run for this test (i.e.
not using setup_method() and teardown_method()). The test is then
only executed serially.
Change-Id: I221145f49cfe7290e132c6a87a5295b747c1fcc7
Reviewed-on: http://gerrit.ent.cloudera.com:8080/2864
Reviewed-by: Matthew Jacobs <mj@cloudera.com>
Tested-by: jenkins
(cherry picked from commit 5bcd769eae3a694d7f6f42d093f9197e8a4e8b77)
Reviewed-on: http://gerrit.ent.cloudera.com:8080/2870
Updates our compute stats script to execute using Impala. This allows us
to easily compute stats on all tables in a database or all tables in the
metastore.
The updated stats caused one of the TPCH plans to change so this also
updates the TPCH planner test results.
Change-Id: I17e5dcd1036a35e40eb4eb2c8e4a20702db9049c
Reviewed-on: http://gerrit.ent.cloudera.com:8080/1024
Reviewed-by: Lenni Kuff <lskuff@cloudera.com>
Tested-by: jenkins
A compute stats command computes the table and column stats for a given
table and persists them in the metastore.
The table stats consist of the per-partition and per-table row count.
The column stats are computed on a per-table basis and consist of the
number of distinct values and the number of NULLs per column.
This patch introduces a new 'child query' concept that
compute stats utilizes. Child queries are cancelled
if the parent query is cancelled. A compute stats stmt is
executed by the following query hirarchy:
parent: compute stats query (DDL)
- child: compute table stats query (QUERY)
- child: compute column stats query (QUERY)
The new child query concept is necessary to decouple child query fetches
from parent query fetches, i.e., we could not execute a child query as
part of the original compute stats query, because then a client could
fetch the results we need for updating the Metastore statistics. The
reason why our existing CTAS works without this decoupling
is that its insert 'child query' is not fetchable.
Change-Id: I560533e3cb09bcbbdb3eea7fcf0b460bc6b36dcd
Reviewed-on: http://gerrit.ent.cloudera.com:8080/873
Reviewed-by: Alex Behm <alex.behm@cloudera.com>
Tested-by: jenkins
Fixed the following stats-related bugs:
- Per-partition row count was not distributed properly via CatalogService
- HBase column stats were not loaded and distributed properly
Enhancements to test framework:
- Allow regex specification of expected row or column values
- Fixed expected results of some tests because the test framework
did not catch that they were incorrect
Change-Id: I1fa8e710bbcf0ddb62b961fdd26ecd9ce7b75d51
Reviewed-on: http://gerrit.ent.cloudera.com:8080/813
Reviewed-by: Alex Behm <alex.behm@cloudera.com>
Tested-by: jenkins
With this change the Python tests will now be called as part of buildall and
the corresponding Java tests have been disabled. The new tests can also be
invoked calling ./tests/run-tests.sh directly.
This includes a fix from Nong that caused wrong results for limit on non-io
manager formats.
This is the first set of changes required to start getting our functional test
infrastructure moved from JUnit to Python. After investigating a number of
option, I decided to go with a python test executor named py.test
(http://pytest.org/). It is very flexible, open source (MIT licensed), and will
enable us to do some cool things like parallel test execution.
As part of this change, we now use our "test vectors" for query test execution.
This will be very nice because it means if load the "core" dataset you know you
will be able to run the "core" query tests (specified by --exploration_strategy
when running the tests).
You will see that now each combination of table format + query exec options is
treated like an individual test case. this will make it much easier to debug
exactly where something failed.
These new tests can be run using the script at tests/run-tests.sh
