- added PlanNode.numNodes, PlanNode.avgRowSize and PlanNode.computeStats()
- fixing up some cardinality estimates
- Planner now tries to do a cost-based decision between broadcast join and join with full repartitioning (both inputs)
- ExchangeNode now distinguishes between its input and output row descriptor: the output potentially contains more tuples
- fixed problem related to cancellation and concurrent hash table builds.
Not included:
- partitioned joins that take advantage of existing partitions of the inputs; those will have to wait for a follow-on change
Adds support for:
* ALTER TABLE <table> PARTITION (partitionSpec) SET FILEFORMAT
* ALTER TABLE <table> PARTITION (partitionSpec) SET LOCATION
This enables setting the location and fileformat of specific partitions.
This patch adds support for
- ALTER TABLE ADD|REPLACE COLUMNS
- ALTER TABLE DROP COLUMN
- ALTER TABLE ADD/DROP PARTITION
- ALTER TABLE SET FILEFORMAT
- ALTER TABLE SET LOCATION
- ALTER TABLE RENAME
* Changed frontend analysis for HBase tables
* Changed Thrift messages to allow HBase as a sink type.
* JNI Wrapper around htable
* Create hbase-table-sink
* Create hbase-table-writer
* Static init lots of JNI related code for HBase.
* Cleaned up some cpplint issues.
* Changed junit analysis tests
* Create a new HBase test table.
* Added functional tests for HBase inserts.
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
