doris

Files

HB ef2ea1806e [docs] Improve the chapter on debugging FE in doc. (#7309 )

At present, there are defects in the chapter on debugging FE in doc. My colleagues and I stepped on the pit when 
building the debugging environment, so I want to improve this chapter in combination with my own stepping on the pit 
experience.

The following is my explanation of the changes: 

1. mkdir -p ./thirdparty/installed/bin
explain: When I downloaded versions 0.14 and 0.15, there were no files under thirdparty, so I didn't know whether to 
create it myself or what to do. Finally, I decided to create it myself. I think it's necessary to add instructions here.

2. Add installation thrift@0.13.0 Failed handling method. 
explain: My colleagues and I failed to find the installation package when executing the installation command, and finally 
found a solution on GitHub. Therefore, I added the handling method of the problem to avoid other Mac users from 
getting stuck in this place.

3. Fixed an error in the generated code description.
explain: Before I finished building the code, I debugged FE, and I failed all the time. Idea hints that no files can be found. 
Later, after consulting with morningman in wechat group, it was understood that `mvn install -DskipTests` does not 
need to execute `mvn generate-sources` after execution. This is inconsistent with the description in the document and 
needs to be corrected.

2021-12-13 16:26:45 +08:00

administrator-guide

[improvement](compaction)(tablet repair) Add missing rowsets in compaction status url and support force dropping redundant replica (#7283 )

2021-12-09 22:34:57 +08:00

article

[Blog] Example of binlog load usage (#7080 )

2021-11-16 12:12:44 +08:00

benchmark

[Doc] Reorganize documents (#7093 )

2021-11-12 12:05:10 +08:00

community

[improvement](compaction)(tablet repair) Add missing rowsets in compaction status url and support force dropping redundant replica (#7283 )

2021-12-09 22:34:57 +08:00

developer-guide

[docs] Improve the chapter on debugging FE in doc. (#7309 )

2021-12-13 16:26:45 +08:00

downloads

[docs] fix 0.14 release date in download page (#7253 )

2021-11-30 15:00:36 +08:00

extending-doris

[feature](udf) make orthogonal bitmap udaf as build in functions (#7211 )

2021-12-07 09:57:26 +08:00

faq

[fix](forward) Avoid endless forward execution (#7335 )

2021-12-08 16:25:04 +08:00

getting-started

[docs] update data-model-rollup.md (#7321 )

2021-12-07 10:05:00 +08:00

installing

[docs][typo] correct sql syntax in upgrade.md (#7271 )

2021-12-06 10:28:01 +08:00

internal

Add flink doris connector design document (#5709 )

2021-05-17 11:53:43 +08:00

sql-reference

[feature](udf) make orthogonal bitmap udaf as build in functions (#7211 )

2021-12-07 09:57:26 +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.

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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!

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Learn More

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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

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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