Hive 3 changed the typical storage model for tables to split them
between two directories:
- hive.metastore.warehouse.dir stores managed tables (which is now
defined to be only transactional tables)
- hive.metastore.warehouse.external.dir stores external tables
(everything that is not a transactional table)
In more recent commits of Hive, there is now validation that the
external tables cannot be stored in the managed directory. In order
to adopt these newer versions of Hive, we need to use separate
directories for external vs managed warehouses.
Most of our test tables are not transactional, so they would reside
in the external directory. To keep the test changes small, this uses
/test-warehouse for the external directory and /test-warehouse/managed
for the managed directory. Having the managed directory be a subdirectory
of /test-warehouse means that the data snapshot code should not need to
change.
The Hive 2 configuration doesn't change as it does not have this concept.
Since this changes the dataload layout, this also sets the CDH_MAJOR_VERSION
to 7 for USE_CDP_HIVE=true. This means that dataload will uses a separate
location for data as compared to USE_CDP_HIVE=false. That should reduce
conflicts between the two configurations.
Testing:
- Ran exhaustive tests with USE_CDP_HIVE=false
- Ran exhaustive tests with USE_CDP_HIVE=true (with current Hive version)
- Verified that dataload succeeds and tests are able to run with a newer
Hive version.
Change-Id: I3db69f1b8ca07ae98670429954f5f7a1a359eaec
Reviewed-on: http://gerrit.cloudera.org:8080/15026
Reviewed-by: Joe McDonnell <joemcdonnell@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
This change is a follow-up to IMPALA-7368 and adds support for DATE
type to the avro scanner.
Similarly to parquet, avro uses DATE logical type for dates. DATE
logical type annotates an INT32 that stores the number of days since
the unix epoch, 1 January 1970.
This representation introduces an avro interoperability issue between
Impala and older versions of Hive:
- Before version 3.1, Hive used Julian calendar to represent dates
up to 1582-10-05 and Gregorian calendar for dates starting with
1582-10-15. Dates between 1582-10-05 and 1582-10-15 were lost.
- Impala uses proleptic Gregorian calendar, extending the Gregorian
calendar backward to dates preceding its official introduction in
1582-10-15.
This means that pre-1582-10-15 dates written to an avro table by Hive
will be read back incorrectly by Impala.
Note that Hive 3.1 switched to proleptic Gregorian calendar too, so
for Hive 3.1+ this is no longer an issue.
Dependency changes:
- BE uses avro 1.7.4-p5 from native-toolchain.
Change-Id: I7a9d5b93a22cf3a00244037e187f8c145cacc959
Reviewed-on: http://gerrit.cloudera.org:8080/13944
Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
INSERT OVERWRITE commands in Hive will only affect partitions that Hive
knows about. If an external table gets dropped and recreated, then
'MSCK REPAIR TABLE' needs to be executed to recover any preexisting
partitions. Otherwise, an INSERT OVERWRITE will not remove the data
files in those partitions and will fail to move the new data in place.
More information can be found here:
http://www.ericlin.me/hive-insert-overwrite-does-not-remove-existing-data
I tested the fix by running the following commands, making sure that the
second run of the .sql script completed without errors and validating
the number of lines was correct (10) after both runs.
export JDBC_URL="jdbc:hive2://${HS2_HOST_PORT}/default;"
export HS2_HOST_PORT=localhost:11050
beeline -n $USER -u "${JDBC_URL}" -f ${IMPALA_HOME}/testdata/avro_schema_resolution/create_table.sql
beeline -n $USER -u "${JDBC_URL}" -f ${IMPALA_HOME}/testdata/avro_schema_resolution/create_table.sql
Change-Id: I0f68eeb75ba2f43b96b8f3d82f902e291d3bd396
Reviewed-on: http://gerrit.cloudera.org:8080/6317
Reviewed-by: Lars Volker <lv@cloudera.com>
Tested-by: Impala Public Jenkins
This change whitelists the supported filesystems which can be set
as Default FS for Impala to run on.
This patch configures Impala to use S3 as the default filesystem, rather
than a secondary filesystem as before.
Change-Id: I2f45bef6c94ece634045acb906d12591587ccfed
Reviewed-on: http://gerrit.cloudera.org:8080/1121
Reviewed-by: anujphadke <aphadke@cloudera.com>
Tested-by: Internal Jenkins
Impala could crash or return wrong result if it uses codegend
avro decoding function to scan avro file that has different
schema than table schema. With AVRO-1617 fix, we make sure
Impala doesn't use codegen if table schema has less columns
than file schema.
Change-Id: I268419e421404ad6b084482dee417634f17ecf60
Reviewed-on: http://gerrit.cloudera.org:8080/1696
Reviewed-by: Juan Yu <jyu@cloudera.com>
Tested-by: Internal Jenkins
This patch contains the following changes:
- Add a metastore_snapshot_file parameter to build.sh
- Enable skipping loading the metadata.
- create-load-data.sh is refactored into functions.
- A lot of scripts source impala-config, which creates a lot of log spew. This has now
been muted.
- Unecessary log spew from compute-table-stats has been muted.
- build_thirdparty.sh determins its parallelism from the system, it was previously hard
coded to 4
- Only force load data of the particular dataset if a schema change is detected.
Change-Id: I909336451e5c1ca57d21f040eb94c0e831546837
Reviewed-on: http://gerrit.sjc.cloudera.com:8080/5540
Reviewed-by: Ishaan Joshi <ishaan@cloudera.com>
Tested-by: jenkins
Avro tables that were not created with a column-definition list do not have
their columns properly populated in the Metastore backend DB (HIVE-6308).
For such tables COMPUTE STATS and Hive's ANALYZE TABLE cannot succeed.
This patch fails COMPUTE STATS in analysis for such broken Avro tables
and adds tests for Avro tables with mismatched a column-definition list
and Avro schema.
Change-Id: I561ecea944ae2f83d69950b7a1ab9edaa89bdcea
Reviewed-on: http://gerrit.ent.cloudera.com:8080/1892
Reviewed-by: Alex Behm <alex.behm@cloudera.com>
Tested-by: jenkins
Reviewed-on: http://gerrit.ent.cloudera.com:8080/1920
Fixes a bug (regression) where the catalog server was not properly resolving column
names when a table's column definition did not match its Avro schema definition.
The expected behavior in this case is that the the Avro scehma definition should be
used instead of the table columns. We had no test tables that were mismatched so
this wasn't caught.
This loading of the schema and columns happens when a table's metadata is loaded, so
the fix is to just add a toThrift() to Column and not reference
metastore.getSd().getCols() directly since it might be the "wrong" set of columns.
Change-Id: I341a3a8834f5748f90c246d2093ddb983ecfdd4f
Reviewed-on: http://gerrit.ent.cloudera.com:8080/770
Reviewed-by: Lenni Kuff <lskuff@cloudera.com>
Tested-by: Lenni Kuff <lskuff@cloudera.com>
