xy720 b29cb9dbb3 [Optimize][Delete] Simplify the delete process to make it fast (#3191)
Our current DELETE strategy reuses the LoadChecker framework.
LoadChecker runs jobs in different stages by polling them in every 5 seconds.

There are four stages of a load job, Pending/ETL/Loading/Quorum_finish,
each of them is allocated to a LoadChecker. Four example, if a load job is submitted,
it will be initialized to the Pending state, then wait for running by the Pending LoadChecker.
After the pending job is ran, its stage will change to ETL stage, and then wait for
running by the next LoadChecker(ETL). Because interval time of the LoadChecker is 5s,
in worst case, a pending job need to wait for 20s during its life cycle.

In particular, the DELETE jobs do not need to wait for polling, they can run the pushTask()
function directly to delete. In this commit, I add a delete handler to concurrently
processing delete tasks.

All delete tasks will push to BE immediately, not required to wait for LoadCheker,
without waiting for 2 LoadChecker(delete job started in LOADING state),
at most 10s will be save(5s per LoadCheker). The delete process now is synchronized
and users get response only after the delete finished or be canceled.

If a delete is running over a certain period of time, it will be cancelled with a timeout exception.

NOTICE: this CL upgrade FE meta version to 82
2020-04-16 10:32:44 +08:00
2020-02-20 23:47:02 +08:00
2020-03-30 13:54:36 +08:00
2018-11-09 14:30:09 +08:00
2020-01-18 00:00:49 +08:00
2020-01-08 12:54:03 +08:00
2020-04-03 15:02:49 +08:00

Apache Doris (incubating)

Join the chat at https://gitter.im/apache-doris/Lobby

Doris is an MPP-based interactive SQL data warehousing for reporting and analysis. Its original name was Palo, developed in Baidu. After donating it to Apache Software Foundation, it was renamed Doris.

1. License

Apache License, Version 2.0

2. Technology

Doris mainly integrates the technology of Google Mesa and Apache Impala, and it is based on a column-oriented storage engine and can communicate by MySQL client.

3. User cases

Doris not only provides high concurrent low latency point query performance, but also provides high throughput queries of ad-hoc analysis.

Doris not only provides batch data loading, but also provides near real-time mini-batch data loading.

Doris also provides high availability, reliability, fault tolerance, and scalability.

The simplicity (of developing, deploying and using) and meeting many data serving requirements in single system are the main features of Doris (refer to Overview).

4. Compile and install

Currently only supports Docker environment and Linux OS, such as Ubuntu and CentOS.

We offer a docker image as a Doris compilation environment. You can compile Doris from source in it and run the output binaries in other Linux environment.

Firstly, you must be install and start docker service.

And then you could build Doris as following steps:

Step1: Pull the docker image with Doris building environment

$ docker pull apachedoris/doris-dev:build-env-1.2

You can check it by listing images, for example:

$ docker images
REPOSITORY              TAG                 IMAGE ID            CREATED             SIZE
apachedoris/doris-dev   build-env-1.2       69cf7fff9d10        2 weeks ago         4.12GB

NOTE: You may have to use different images to compile from source.

image version commit id release version
apachedoris/doris-dev:build-env before ff0dd0d 0.8.x, 0.9.x
apachedoris/doris-dev:build-env-1.1 ff0dd0d or later 0.10.x or 0.11.x
apachedoris/doris-dev:build-env-1.2 1648226 or later 0.12.x or later

Step2: Run the Docker image

You can run the image directly:

$ docker run -it apachedoris/doris-dev:build-env-1.2

Or if you want to compile the source located in your local host, you can map the local directory to the image by running:

$ docker run -it -v /your/local/path/incubator-doris-DORIS-x.x.x-release/:/root/incubator-doris-DORIS-x.x.x-release/ apachedoris/doris-dev:build-env-1.2

Step3: Download Doris source

Now you should attached in docker environment.

You can download Doris source by release package or by git clone in image.

(If you already downloaded the source in your local host and map it to the image in Step2, you can skip this step.)

$ wget https://dist.apache.org/repos/dist/dev/incubator/doris/xxx.tar.gz
or
$ git clone https://github.com/apache/incubator-doris.git

Step4: Build Doris

Enter Doris source path and build Doris.

$ sh build.sh

After successfully building, it will install binary files in the directory output/.

4.2 For Linux OS

Prerequisites

You must be install following softwares:

GCC 5.3.1+, Oracle JDK 1.8+, Python 2.7+, Apache Maven 3.5+, CMake 3.4.3+

After you installed above all, you also must be set them to environment variable PATH and set JAVA_HOME.

If your GCC version is lower than 5.3.1, you can run:

sudo yum install devtoolset-4-toolchain -y

and then, set the path of GCC (e.g /opt/rh/devtoolset-4/root/usr/bin) to the environment variable PATH.

Compile and install

Run the following script, it will compile thirdparty libraries and build whole Doris.

sh build.sh

After successfully building, it will install binary files in the directory output/.

5. License Notice

Some of the third-party dependencies' license are not compatible with Apache 2.0 License. So you may have to disable some features of Doris to be complied with Apache 2.0 License. Details can be found in thirdparty/LICENSE.txt

6. Reporting Issues

If you find any bugs, please file a GitHub issue.

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