ottertune | The automatic DBMS configuration tool | SQL Database library
kandi X-RAY | ottertune Summary
kandi X-RAY | ottertune Summary
OtterTune is a new tool developed by students and researchers in the Carnegie Mellon Database Group that can automatically find good settings for a database management system's configuration knobs. The goal is to make it easier for anyone to deploy a DBMS without any expertise in database administration. To tune new DBMS deployments, OtterTune reuses training data gathered from previous tuning sessions. Because OtterTune does not need to generate an initial dataset for training its ML models, tuning time is drastically reduced. For more information, see our paper.
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Top functions reviewed by kandi - BETA
- Map a workload to the pipeline
- Return a string representation of the task result
- Load pipeline data
- Return the name of the task
- Run background tasks
- Fits the Lasso path
- Aggregates the knob and metric data
- Run knob identification on a knob and metric data
- Compute the gap probability distribution for each cluster
- View the results of a session
- Simulate a GPR problem
- View a result
- Generate data for n_workloads
- Removes knob_labels from the sessions
- Example tests
- Return a dict containing the values of the version
- Handle celery
- Convert the knob data to a dictionary
- Create or update a session
- Get information about a specific site
- Return a result
- Recommends a configuration recommendation
- Create or update session
- Preprocess the results for a single result
- Run the integration tests
- Returns a JSON dict of data for the target objective
ottertune Key Features
ottertune Examples and Code Snippets
python3 -m driver.main --aws-region --db-identifier --db-username --db-password --api-key --db-key --organization-id --config driver/config/driver_config.yaml --override-server-url https://dev.api.ottertune.com
Community Discussions
Trending Discussions on ottertune
QUESTION
Docker noob here. I have two files docker-compose.build.yml and docker-compose.up.yml in my docker folder. Following are the contents of both files..
docker-compose.build.yml
...ANSWER
Answered 2019-Dec-18 at 12:04What purpose does having multiple files serve instead of just one docker-compose.yml?
You can share configuration across environments. For example, I keep the common configuration such as the network and server in a docker-compose.yml
. I keep my development environment specifics such as a server with automatic reload and debugging enabled in a docker-compose.override.yml
. I keep the production-specific configs in a docker-compose.prod.yml
. Then I can run docker-compose up --build
for my development environment (Docker Compose uses docker-compose.yml
and docker-compose.override.yml
by default). And I can run my prod environment with docker-compose -f docker-compose.yml -f docker-compose.prod.yml up --build
. You can read about this in the dedicated docs page.
How does docker-compose work when used with multiple files?
It takes the first file as the base file, and adds or replaces configs from subsequent files ot the base file. See the relevant docs.
When i do docker-compose -f docker-compose.build.yml build --no-cache ...
As for your last question, I can't really tell by what I've seen. But unlike Dockerfile
s which need two commands (docker build
and docker run
), docker-compose
only needs one. So when you do docker-compose up
, it looks for a file named docker-compose.yml
(and also docker-compose.override.yml
if it's present).
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ottertune
You can use ottertune like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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