This patch adds support for the following SQL constructs
- Unary + operator
- The ALL keyword, in SELECT ALL and SELECT aggregate_func(ALL *)
- REAL and INTEGER as type synonyms for DOUBLE and INT respectively
- The AS keyword after a table spec. e.g. SELECT * FROM tbl AS t0
This adds Impala support for CREATE/DROP DATABASE/TABLE. With this change, Impala
supports creating tables in the metastore stored as text, sequence, and rc file format.
It currently only supports creating unpartitioned tables and tables stored in HDFS.
- this adds a SelectNode that evaluates conjuncts and enforces the limit
- all limits are now distributed: enforced both by the child plan fragment and
by the merging ExchangeNode
- all limits w/ Order By are now distributed: enforced both by the child plan fragment and
by the merging TopN node
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
This change includes a number of improvements for the test data loading framework:
* Named sections for schema template definitions
* Removal of uneeded sections from schema template definitions (ex. ANALYZE TABLE)
* More granular data loading via table name filters
* Improved robustness in detecting failed data loads
* Table level constraints for specific file formats
* Re-written compute stats script
The ScanNode.keyRanges is an array list that can contain null. The existing HBase scan node
did not check for that.
A keyRanges would contain null if
1. the row-key is a string type and it is referenced in the query and,
2. there is no predicate on the row-key.
Fixes bug in Planner.createHashJoinFragment(), which didn't set the left child of the
hj node to the output of the left child fragment.
Also: row descriptor was set incorrectly (too wide; included tuples that weren't materialized)
for roots of plan trees of non-root fragments if those fragments materialized an aggregate
- created new class PlanFragment, which encapsulates everything having to do with a single
plan fragment, including its partition, output exprs, destination node, etc.
- created new class DataPartition
- explicit classes for fragment and plan node ids, to avoid getting them mixed up, which is easy to do with ints
- Adding IdGenerator class.
- moved PlanNode.ExplainPlanLevel to Types.thrift, so it can also be used for
PlanFragment.getExplainString()
- Changed planner interface to return scan ranges with a complete list of server locations,
instead of making a server assignment.
Also included: cleaned up AggregateInfo:
- the 2nd phase of a DISTINCT aggregation is now captured separately from a merge aggregation.
- moved analysis functionality into AggregateInfo
Removing broken test cases from workload functional-planner (they're being handled correctly in functional-newplanner).
verify that the exception message contains the correct error;
verify that excpected exception is thrown;
verify that no exception is thrown when abort_on_error is set to false
- executor takes report callback; passed in by ImpalaServer::FragmentExecState
- the PlanFragmentExecutor invokes profile reporting cb in background thread.
- RuntimeProfile is now thread-safe and has an RuntimeProfile::Update()
Also included:
- a number of bug fixes related to async cancellation of query
and propagation of errors through PlanFragmentExecutor/Coordinator/ImpalaServer.
- changing COUNTER_SCOPED_TIMER to SCOPED_TIMER
- derived counters: RuntimeProfile now lets you add counters that return a
value via a function call, which is useful for reporting something like normalized
ScanNode throughput; retrofitted to ScanNode and all subclasses
- changed coordinator to make cancellation atomic wrt recognition of an error status
for the overall query.
- Removed InProcessQueryExecutor from data-stream-test.
Added aggregate throughput counters to coordinator:
- all throughput counters are grouped in a sub-profile "AggregateThroughput"
- each scan node gets its own counter
- the value is aggregated across all registered backends which contain that node in
their plan fragments
