This change updates our DDL syntax support to allow for using 'STORED AS PARQUET'
as well as 'STORED AS PARQUETFILE'. Moving forward we should prefer the new syntax,
but continue to support the old. I made the same change for 'AVROFILE', but since
we have not yet documented the 'AVROFILE' syntax I left out support for the old syntax.
Change-Id: I10c73a71a94ee488c9ae205485777b58ab8957c9
Reviewed-on: http://gerrit.ent.cloudera.com:8080/1053
Reviewed-by: Marcel Kornacker <marcel@cloudera.com>
Tested-by: jenkins
Currently, we execute all the queries involved in data loading serially. This change
creates a separate .sql file for each file format, compression codec and compression
scheme combination, and executes all the files in parallel. Additionally, we now store all the
.sql files (independent of workload) in $IMPALA_HOME/data_load_files/<dataset_name>. Note
that only data loaded through Impala is parallelized, data loaded through hive and hbase
remains serial.
On our build machines, the time taken to load all the data from snapshot was on the order
of 15 minutes.
Change-Id: If8a862c43f0e75b506ca05d83eacdc05621cbbf8
Reviewed-on: http://gerrit.ent.cloudera.com:8080/804
Reviewed-by: Ishaan Joshi <ishaan@cloudera.com>
Tested-by: Ishaan Joshi <ishaan@cloudera.com>
Tested-by: jenkins
With this change we now detect if a table is read-only and disable INSERT/LOAD operations
on these tables. A table is read-only if Impala does not have write permission on the HDFS
base directory of the table or any one of the partition directories (if
the table is partitioned).
Change-Id: I25515b2d0ffb7fe297359437fd937a3d6e0406a0
Reviewed-on: http://gerrit.ent.cloudera.com:8080/713
Reviewed-by: Lenni Kuff <lskuff@cloudera.com>
Tested-by: Lenni Kuff <lskuff@cloudera.com>
Before this, we had to specify the entire mangled symbol. This can be quite
long and quite tedious (take a look at some of the create UDA test cases that
specify all the symbols).
This patch adds some code to convert from the user function signature to the
mangled name. This means the user can specify the unmangled name and we can
do the symbol lookup. The mangling rules are pretty convoluted but if it is
messed up, the user can always specify the full symbol.
Some other minor cleanup in:
- JNI from FE to BE
- UDFs/UDAs that are loaded as test data
Change-Id: I733dbf3a72cb7b06221c27e622d161bcca0d74a8
Reviewed-on: http://gerrit.ent.cloudera.com:8080/624
Reviewed-by: Nong Li <nong@cloudera.com>
Tested-by: Nong Li <nong@cloudera.com>
Using an external Hive Metastore Service for local test runs has a number of benefits.
Some of the benefits are that it helps separate the metastore logs from the impala
logs, and that it is more representative of what is on real cluster environments.
It also may help with some of the concurrency issues that we have been seeing when
running directly against the backend database since we no longer spin up an in-process
metastore server for each client connection.
The metastore is started by running "run-hive-server.sh" which is invoked as part of
"run-all.sh".
Change-Id: If60fa97aa38e4ad5cf578b9b409eeea1e0e29375
Reviewed-on: http://gerrit.ent.cloudera.com:8080/628
Reviewed-by: Ishaan Joshi <ishaan@cloudera.com>
Tested-by: jenkins
This patch also adds a number of improvements to NativeUdfExpr. Highlights include:
* Correctly handling the lowering of AnyVal struct types (required for ABI compatibility)
* A rudimentary library cache for reusing handles produced by dlopen
* More complicated test cases
Change-Id: Iab9acdd7d7c4308e5d7ee3210f21b033fda5a195
Reviewed-on: http://gerrit.ent.cloudera.com:8080/540
Tested-by: jenkins
Reviewed-by: Skye Wanderman-Milne <skye@cloudera.com>
Tested-by: Skye Wanderman-Milne <skye@cloudera.com>
OVERWRITE
INSERT OVERWRITE into an unpartitioned table is supposed to remove all
data files from the root. This should not include hidden files or
directories. This patch excludes hidden files from deletion, and adds a
test case.
Partition directories are still removed in their entirety: the cost of
statting a large number of files and directories rather than issuing a
single "rm -rf" outweighs the benefits of preserving hidden files for
now.
Hive does not preserve hidden files in either configuration.
Change-Id: Ia73e55e011c26c88f14745075210cf359764e3c1
Reviewed-on: http://gerrit.ent.cloudera.com:8080/418
Tested-by: jenkins
Reviewed-by: Lenni Kuff <lskuff@cloudera.com>
This change adds Impala DDL support for creation of AVRO tables.
Additionally, it add Impala support for CREATE and ALTER SERDEPROPERTIES
which are used when creating Avro backed tables. This syntax is not
exactly the same as the Hive support since it introduces a new
fileformat (AVROFILE) that implies the needed Serialization library,
input format, and output format.
Change-Id: I5047e419198a89599e9d014fdedfee1a20437a7d
Reviewed-on: http://gerrit.ent.cloudera.com:8080/464
Reviewed-by: Lenni Kuff <lskuff@cloudera.com>
Tested-by: Lenni Kuff <lskuff@cloudera.com>
This changes adds support for SQL statement authorization in Impala. The authorization
works by updating the Catalog API to require a User + Privilege when getting Table/Db
objects (and in the future can be extended to cover columns as well).
If the user doesn't have permission to access the object, an AuthorizationException is
thrown. The authorization checks are done during analysis as new Catalog objects are
encountered.
These changes build on top of the Hive Access code which handles the actually
processing of authorization requests. The authorization is currently based
on a "policy file" which will be stored in HDFS. This policy file is read once
on startup and then reloaded every 5 minutes. It can also be reloaded on a
specific impalad by executing a "refresh" command.
Authorization is enabled by setting:
--server_name='server1'
and then pointing the impalad to the policy file using the flag:
--authorization_policy_file=/path/to/policy/file
any authorization configuration problems will result in impalad failing to
start.
Always reload region server info.
Clear keyRange.start/stopkey before setting it in setKeyRangeStart/End.
Split HBase tables into multiple regions.
I've to disable HBase scanrangelocations planner test because region assigment
is non-deterministic. I'll have a follow up patch to address that.
This change adds support for auxiliary worksloads, tests, and datasets. This is useful
to augment the regular test runs with some additional tests that do not belong in the
main Impala repo.
This works around a problem with computing table stats via the Hive Meta Store client
API. When executing these stements via the MetaStoreClient, all tables were getting a
num_rows=0 value returned from the ANALYZE TABLE query.
* 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.
