[fix] fix bug when partition_id exceeds integer range in spark load #9073
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change list 1.add broker plus manifest.yaml 2.[MT] spark load for mt 3.[MT] Adapt MT internal spark/yarn commands and configurations 4.[MT] add custom properties for spark load etl & del tmp hive table 5.[MT] delete spark delete spark repository and archive & improve etl job log 6.[MT] feature(sparkload): support bitmap encode features in spark load 7.[MT] feature(sparkload parquet): disable parquet dictionary 8.feature(sparkload): support bitmap binary data from hive in spark load 9.[MT] feature(sparkload): add tolas-output dependency in SparkDpp 10.fix(spark load): resolve args conflict between skip_null_value and map_side_join refactor(spark load): refactor function name each commit detail are listed in this branch: https://dev.sankuai.com/code/repo-detail/data/palo/commit/list?branch=sparkload-14-update-details or in branh 13: https://dev.sankuai.com/code/repo-detail/data/palo/commit/list?branch=refs%2Fheads%2F13 Some Spark Load changes in 0.15 to 1.1: [MT][FIX][SPARKLOAD] fix bug when partition_id exceeds integer range in spark load (apache#9073) [MT][FIX][SPARKLOAD] fix `getHashValue` of string type is always zero in spark load (apache#9135) [MT][TMP][SPARKLOAD] support `custom.global.dict.table` in spark load [MT][FEATURE][SPARKLOAD] support retry-strategy when get the spark elt job state timeout [MT][SPARKLOAD] hive table name start with tmp key word and its size should be no longer than 128 [MT][TMP][SPARKLOAD] fix min_value will be negative number when `maxGlobalDictValue` exceeds integer range (apache#9436) detail commmits' content could be found in this branch: https://dev.sankuai.com/code/repo-detail/data/palo/commit/list?branch=refs%2Fheads%2F14 [MT][TMP][FIX] fix UT in spark load [MT][FEATURE] feature(spark-dpp version): add version file for spark-dpp add spark-dpp commit id as version file when build FE [MT][SPARKLOAD] some fixes from 15 to 1.1 by wangbo36 1 not connect hive metastore when create hive table 2 avoid cast from string to bitmap expr 3 cast bytebuffer to buffer 4 handle exception in ut
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Proposed changes
Problem Summary:
when partition_id exceed integer range, it will encountered
java.lang.NumberFormatExceptionin spark load.Describe the overview of changes.
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