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Release Note 2.0.8 #33276

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xiaokang opened this issue Apr 5, 2024 · 1 comment
Closed

Release Note 2.0.8 #33276

xiaokang opened this issue Apr 5, 2024 · 1 comment

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@xiaokang
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xiaokang commented Apr 5, 2024

Previous Release Note 2.0.7

Thanks to our community users and developers, about 65 improvements and bug fixes have been made in Doris 2.0.8 version.

1 Behavior change

ADMIN SHOW CONFIG -> SHOW CONFIG
ADMIN SHOW REPLICA -> SHOW REPLICA
ADMIN DIAGNOSE TABLET -> SHOW TABLET DIAGNOSIS
ADMIN SHOW TABLET -> SHOW TABLET

2 New features

N/A

3 Improvement and optimizations

  • make inverted index work with topn opt in Nereids
  • Limit the max string length to 1024 while collecting column stats to control BE memory usage
  • jdbc catalog close when jdbc client is not empty
  • Accept all iceberg database and do not check the name format of database
  • Refresh external table's rowcount async to avoid cache miss and unstable query plan
  • Simplify the isSplitable method of hive external table to avoid too many hadoop metrics

See the complete list of improvements and bug fixes on github .

Big Thanks

Thanks all who contribute to this release:

@924060929
@AcKing-Sam
@amorynan
@AshinGau
@BePPPower
@BiteTheDDDDt
@ByteYue
@cambyzju
@dongsilun
@eldenmoon
@feiniaofeiafei
@gnehil
@Jibing-Li
@liaoxin01
@luwei16
@morningman
@morrySnow
@mrhhsg
@Mryange
@nextdreamblue
@platoneko
@starocean999
@SWJTU-ZhangLei
@wuwenchi
@xiaokang
@xinyiZzz
@Yukang-Lian
@Yulei-Yang
@zclllyybb
@zddr
@zhangstar333
@zhiqiang-hhhh
@ziyanTOP
@zy-kkk
@zzzxl1993

@xiaokang
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xiaokang commented Apr 9, 2024

中文版Release Note如下:

1 行为变更

由于ADMIN SHOW xx语句在mysql 8.x jdbc driver不能执行,所以将名字改成SHOW xx

ADMIN SHOW CONFIG -> SHOW CONFIG
ADMIN SHOW REPLICA -> SHOW REPLICA
ADMIN DIAGNOSE TABLET -> SHOW TABLET DIAGNOSIS
ADMIN SHOW TABLET -> SHOW TABLET

2 新功能

N/A

3 改进和优化

  • 新优化器支持topn优化中使用倒排索引
  • 限制统计信息string长度为1024以控制be内存消耗
  • 修复未创建 jdbc client 时意外关闭的情况
  • 接受所有iceberg database,不再做额外的名字检查
  • 异步更新外表行数统计,避免同步更新带来的cache miss和plan不稳定
  • 简化hive外表的isSplitable方法,避免过多的hadoop metric

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