Merge branch 'pr_1623'
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d415ce4856
@ -9,7 +9,7 @@ The framework is designed and implentmented for evaluating PALF performance in a
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## Usage
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1. Use your own IP and wrok directory
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1. Use your own IP and work directory
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**IP**
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- `mittest/palf_cluster/test_palf_bench_server.cpp:45`
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@ -2,9 +2,9 @@
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The latest dooba stable version is 1.0
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dooba is a easy tools monitoring oceanbase cluster for oceanbase admins. It's based on python curses library, and is a powerful tool for watching oceanbase cluster status with straightfoward vision.
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dooba is a easy tools monitoring oceanbase cluster for oceanbase admins. It's based on python curses library, and is a powerful tool for watching oceanbase cluster status with straightforward vision.
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dooba's gui is somewhat inspired by many other curses programes such as ncmpcpp, htop, wicd-curses, weechat-curses and so on.
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dooba's gui is somewhat inspired by many other curses programs such as ncmpcpp, htop, wicd-curses, weechat-curses and so on.
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Many other features will be involved in dooba in not so long days. Here is a simple list.
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@ -93,7 +93,7 @@ oceanbase-ce image installs the Sysbench tool by default. And the Sysbench tool
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docker exec -it oceanbase-ce obd test sysbench obcluster
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```
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## Mount Volumn
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## Mount Volume
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You can use `-v /your/host/path:/container/path` parameter in docker `run` command to save data in host os if you want to persistence the data of a container.
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Below is an example.
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@ -106,4 +106,4 @@ Note that you should use your own path.
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The docker image `oceanbase-ce` saves the data to /root/ob directory default. You should bind both the /root/ob and /root/.obd. You can not start new docker image if you only bind the /root/ob directory, because the docker image oceanbase-ce uses the [obd](https://github.com/oceanbase/obdeploy) to manage database clusters and there is no information about the database cluster in a new docker container.
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You can view more information about `docker -v` at [docker volumn](https://docs.docker.com/storage/volumes/).
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You can view more information about `docker -v` at [docker volume](https://docs.docker.com/storage/volumes/).
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