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Xinyi Zou e17aef9467 [refactor] refactor the implement of MemTracker, and related usage (#8322) 
Modify the implementation of MemTracker:
1. Simplify a lot of useless logic;
2. Added MemTrackerTaskPool, as the ancestor of all query and import trackers, This is used to track the local memory usage of all tasks executing;
3. Add cosume/release cache, trigger a cosume/release when the memory accumulation exceeds the parameter mem_tracker_consume_min_size_bytes;
4. Add a new memory leak detection mode (Experimental feature), throw an exception when the remaining statistical value is greater than the specified range when the MemTracker is destructed, and print the accurate statistical value in HTTP, the parameter memory_leak_detection
5. Added Virtual MemTracker, cosume/release will not sync to parent. It will be used when introducing TCMalloc Hook to record memory later, to record the specified memory independently;
6. Modify the GC logic, register the buffer cached in DiskIoMgr as a GC function, and add other GC functions later;
7. Change the global root node from Root MemTracker to Process MemTracker, and remove Process MemTracker in exec_env;
8. Modify the macro that detects whether the memory has reached the upper limit, modify the parameters and default behavior of creating MemTracker, modify the error message format in mem_limit_exceeded, extend and apply transfer_to, remove Metric in MemTracker, etc.;

Modify where MemTracker is used:
1. MemPool adds a constructor to create a temporary tracker to avoid a lot of redundant code;
2. Added trackers for global objects such as ChunkAllocator and StorageEngine;
3. Added more fine-grained trackers such as ExprContext;
4. RuntimeState removes FragmentMemTracker, that is, PlanFragmentExecutor mem_tracker, which was previously used for independent statistical scan process memory, and replaces it with _scanner_mem_tracker in OlapScanNode;
5. MemTracker is no longer recorded in ReservationTracker, and ReservationTracker will be removed later;
2022-03-11 22:04:23 +08:00
..
administrator-guide
[refactor] refactor the implement of MemTracker, and related usage (#8322)
2022-03-11 22:04:23 +08:00
article
[docs][community] Remove articles (#7449)
2021-12-21 18:50:09 +08:00
benchmark
[docs] Modify the SSB document (#8101)
2022-02-18 11:14:20 +08:00
case-user
[docs](website) develop the caseList component (#7402)
2021-12-16 10:41:11 +08:00
community
[community] Modify doris connector release doc (#8275)
2022-03-07 23:15:38 +08:00
developer-guide
[doc] Fix dead link in build docker environment in developer guide (#8379)
2022-03-10 09:06:39 +08:00
downloads
[docs] fix 0.14 release date in download page (#7253)
2021-11-30 15:00:36 +08:00
extending-doris
[typo]update spark build doc (#8333)
2022-03-05 12:30:56 +08:00
faq
[docs] fix typo (#7907)
2022-01-28 22:32:50 +08:00
getting-started
[docs] Update data-model-rollup.md (#8126)
2022-02-21 09:36:31 +08:00
installing
[docs]update http port doc to be more intuitive (#8343)
2022-03-06 16:55:17 +08:00
internal
Add flink doris connector design document (#5709)
2021-05-17 11:53:43 +08:00
sql-reference
[improvement] Avoid print large string in error log (#8436)
2022-03-11 17:23:47 +08:00
sql-reference-v2/sql-statements
[feature](storage-format) Z-Order Implement (#7149)
2021-12-02 11:39:51 +08:00
README.md
[Website][Doc] Add the sharing blog function to the document site (#7047)
2021-11-09 10:01:23 +08:00

README.md

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Welcome to
Apache Doris
A fast MPP database for all modern analytics on big data.
title subTitle descriptions image actionText actionLink
Apache Doris
Apache Doris is a modern MPP analytical database product. It can provide sub-second queries and efficient real-time data analysis. With it's distributed architecture, up to 10PB level datasets will be well supported and easy to operate.
Apache Doris can meet various data analysis demands, including history data reports, real-time data analysis, interactive data analysis, and exploratory data analysis. Make your data analysis easier!
/images/home/structure-fresh.png Learn More /en/getting-started/basic-usage
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Apache Doris Core Features
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Modern MPP architecture /images/home/struct.png
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Getting result of a query within one second /images/home/clock.png
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Support standard SQL language, compatible with MySQL protocol /images/home/sql.png
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Vectorized SQL executor /images/home/program.png
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Effective data model for aggregation /images/home/aggr.png
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Rollup, novel pre-computation mechanism /images/home/rollup.png
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High performance, high availability, high reliability /images/home/cpu.png
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easy for operation, Elastic data warehouse for big data /images/home/dev.png
title subTitle list
Apache Doris Users
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/images/home/logo-meituan.png 美团
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/images/home/logo-xiaomi.png 小米
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/images/home/logo-jd.png 京东
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/images/home/logo-huawei.png 华为
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/images/home/logo-baidu.png 百度
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/images/home/logo-weibo.png 新浪微博
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/images/home/logo-zuoyebang.png 作业帮
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/images/home/logo-vipkid.png Vipkid
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/images/home/logo-360.png 360
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/images/home/logo-shopee.png Shopee
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/images/home/logo-tantan.png 探探
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/images/home/logo-kuaishou.png 快手
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/images/home/logo-sohu.png 搜狐
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/images/home/logo-yidian.png 一点资讯
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/images/home/logo-dingdong.png 叮咚买菜
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/images/home/logo-youdao.png 有道
Quick Start → /en/installing/compilation Latest News /en/article/article-list