v1.5.0

[NSE-1189] prepare for 1.5.0 release (#1194)

* fix jni unload (#1180)

fix the seg fault on spark-shell exit

Signed-off-by: Yuan Zhou <yuan.zhou@intel.com>

* [NSE-1191] fix AQE exchange reuse in Spark3.2 (#1192)

Fix AQE exchange reuse in Spark3.2

Note with this patch, the jars for Spark321 and Spark322 are separated.
- to build jar for Spark322 use -Pspark-3.2.2
- to build jar for Spark321 use -Pspark3.2.1

Signed-off-by: Yuan Zhou yuan.zhou@intel.com

Signed-off-by: Yuan Zhou <yuan.zhou@intel.com>
Signed-off-by: Yuan Zhou yuan.zhou@intel.com

v1.4.0

[NSE-699] Update Changelog and documents for OAP 1.4.0 (#1003)

* [NSE-699] Update Changelog and documents for OAP 1.4.0

* Update documents changes

* Update required GCC version

* Update Arrow branch

v1.3.1

[NSE-746]Fix memory allocation in row to columnar  (#834) (#836)

* Optimize row to column memory allocation

This patch improves the memory allocation in r2c by doing
estimation based on first row. Also check the capacity during
the conversation and increase the buffer size if not enough

Signed-off-by: Yuan Zhou <yuan.zhou@intel.com>

* fix leakage

Signed-off-by: Yuan Zhou <yuan.zhou@intel.com>

* fix test

Signed-off-by: Yuan Zhou <yuan.zhou@intel.com>

v1.3.0

[NSE-699] Update Changelog and OAP Documentation (#700)

* [NSE-699] Update Changelog and OAP Documentation

* [NSE-699] Update Changelog and OAP Documentation

* [NSE-699] Update Changelog

v1.2.0

Gazelle 1.2.0 is the 2nd release from the repository oap-project(https://github.com/oap-project/gazelle_plugin).
In this release, we have implemented 11 new features support, fix 11 performance issues & bugs, and merged total of 48 PRs.

Here is the major highlight in Gazelle 1.2.0:

• 1.25X speed up on TPC-DS 103 queries.
• Add RDD Cache support
• Add Spill & UDF Support
• Implement native Column to Row optimization
• Further enhances the stability of performance for many fall back cases.

Gazelle Plugin

Features

No.	Description
#394	Support ColumnarArrowEvalPython operator
#368	Encountered Hadoop version (3.2.1) conflict issue on AWS EMR-6.3.0
#375	Implement a series of datetime functions
#183	Add Date/Timestamp type support
#362	make arrow-unsafe allocator as the default
#343	configurable codegen opt level
#333	Arrow Data Source: CSV format support fix
#223	Add Parquet write support to Arrow data source
#320	Add build option to enable unsafe Arrow allocator
#337	UDF: Add test case for validating basic row-based udf
#326	Update Scala unit test to spark-3.1.1

Performance

No.	Description
#400	Optimize ColumnarToRow Operator in NSE.
#411	enable ccache on C++ code compiling

Bugs Fixed

No.	Description
#358	Running TPC DS all queries with native-sql-engine for 10 rounds will have performance degradation problems in the last few rounds
#481	JVM heap memory leak on memory leak tracker facilities
#436	Fix for Arrow Data Source test suite
#317	persistent memory cache issue
#382	Hadoop version conflict when supporting to use gazelle_plugin on Google Cloud Dataproc
#384	ColumnarBatchScanExec reading parquet failed on java.lang.IllegalArgumentException: not all nodes and buffers were consumed
#370	Failed to get time zone: NoSuchElementException: None.get
#360	Cannot compile master branch.
#341	build failed on v2 with -Phadoop-3.2

PRs

No.	Description
#489	[NSE-481] JVM heap memory leak on memory leak tracker facilities (Arrow Allocator)
#486	[NSE-475] restore coalescebatches operator before window
#482	[NSE-481] JVM heap memory leak on memory leak tracker facilities
#470	[NSE-469] Lazy Read: Iterator objects are not correctly released
#464	[NSE-460] fix decimal partial sum in 1.2 branch
#439	[NSE-433]Support pre-built Jemalloc
#453	[NSE-254] remove arrow-data-source-common from jar with dependency
#452	[NSE-254]Fix redundant arrow library issue.
#432	[NSE-429] TPC-DS Q14a/b get slowed down within setting spark.oap.sql.columnar.sortmergejoin.lazyread=true
#426	[NSE-207] Fix aggregate and refresh UT test script
#442	[NSE-254]Issue0410 jar size
#441	[NSE-254]Issue0410 jar size
#440	[NSE-254]Solve the redundant arrow library issue
#437	[NSE-436] Fix for Arrow Data Source test suite
#387	[NSE-383] Release SMJ input data immediately after being used
#423	[NSE-417] fix sort spill on inplsace sort
#416	[NSE-207] fix left/right outer join in SMJ
#422	[NSE-421]Disable the wholestagecodegen feature for the ArrowColumnarToRow operator
#369	[NSE-417] Sort spill support framework
#401	[NSE-400] Optimize ColumnarToRow Operator in NSE.
#413	[NSE-411] adding ccache support
#393	[NSE-207] fix scala unit tests
#407	[NSE-403]Add Dataproc integration section to README
#406	[NSE-404]Modify repo name in documents
#402	[NSE-368]Update emr-6.3.0 support
#395	[NSE-394]Support ColumnarArrowEvalPython operator
#346	[NSE-317]fix columnar cache
#392	[NSE-382]Support GCP Dataproc 2.0
#388	[NSE-382]Fix Hadoop version issue
#385	[NSE-384] "Select count(*)" without group by results in error: java.lang.IllegalArgumentException: not all nodes and buffers were consumed
#374	[NSE-207] fix left anti join and support filter wo/ project
#376	[NSE-375] Implement a series of datetime functions
#373	[NSE-183] fix timestamp in native side
#356	[NSE-207] fix issues found in scala unit tests
#371	[NSE-370] Failed to get time zone: NoSuchElementException: None.get
#347	[NSE-183] Add Date/Timestamp type support
#363	[NSE-362] use arrow-unsafe allocator by default
#361	[NSE-273] Spark shim layer infrastructure
#364	[NSE-360] fix ut compile and travis test
#264	[NSE-207] fix issues found from join unit tests
#344	[NSE-343]allow to config codegen opt level
#342	[NSE-341] fix maven build failure
#324	[NSE-223] Add Parquet write support to Arrow data source
#321	[NSE-320] Add build option to enable unsafe Arrow allocator
#299	[NSE-207] fix unsuppored types in aggregate
#338	[NSE-337] UDF: Add test case for validating basic row-based udf
#336	[NSE-333] Arrow Data Source: CSV format support fix
#327	[NSE-326] update scala unit tests to spark-3.1.1

v1.1.1-spark-3.1.1

[NSE-350]Update the documents for 1.1.1 (#351)

v1.1.0-spark-3.0.0

[NSE-206]Update documents and License for 1.1.0 (#292)

* [NSE-206]Update documents and remove duplicate parts

* Modify documents by comments