docker-db | EXASOL DB as Docker image for testing purposes | Continuous Deployment library

by exasol Python Version: 7.1.20 License: No License

X-Ray Key Features Code Snippets(3)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | docker-db Summary

docker-db is a Python library typically used in Devops, Continuous Deployment, Docker applications. docker-db has no bugs, it has no vulnerabilities and it has low support. However docker-db build file is not available. You can download it from GitHub.

Exasol is a high-performance, in-memory, MPP database specifically designed for analytics. This repository contains a dockerized version of the Exasol DB for testing purposes. The dockerized version of Exasol in this repository can be used with up to 10GiB of data. If you need more please get in contact with us via

Support

Quality

Security

License

Reuse

Support

docker-db has a low active ecosystem.

It has 50 star(s) with 16 fork(s). There are 26 watchers for this library.

It had no major release in the last 12 months.

There are 20 open issues and 40 have been closed. On average issues are closed in 39 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of docker-db is 7.1.20

Quality

docker-db has 0 bugs and 0 code smells.

Security

docker-db has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

docker-db code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

docker-db does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

docker-db releases are available to install and integrate.

docker-db has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 3806 lines of code, 290 functions and 9 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed docker-db and discovered the below as its top functions. This is intended to give you an instant insight into docker-db implemented functionality, and help decide if they suit your requirements.

Updates the exaconf module
Add a group
Add missing users and groups
Add default groups
Set database configuration
Add a new database
Check if a database exists
Convert bytes to units
Set remote volume configuration
Automatically create file devices
Set object volume configuration
Set user configuration
Remove a remote volume
Set group configuration
Convert a gid to a gid
Get the object volumes
Updates the OS version
Remove a device from a node
Set bucket configuration
Set bucketfs configuration
Update db version
Check if update needs to be updated
Set the backup configuration for a given database
Set volume configuration
Validate the configuration
Start a cluster

Get all kandi verified functions for this library.

docker-db Key Features

No Key Features are available at this moment for docker-db.

docker-db Examples and Code Snippets

Creating a multi-host Exasol cluster,2. Complete the configuration

Python

Lines of Code : 18

License : No License

Copy

[Node : 11]
    PrivateNet = 10.10.10.11/24 # <-- replace with the real network

docker run --rm -v $CONTAINER_EXA:/exa exasol/docker-db: exaconf modify-node -n 11 -p 10.10.10.11/24

[[Disk : disk1]]
    Devices = dev.1    #'dev.1' must be located

Using the Exasol Docker Tool,4. Starting a cluster

Python

Lines of Code : 15

License : No License

Copy

$ ./exadt start-cluster MyCluster
Free space on '/' is only 22.2 GiB, but accumulated size of (sparse) file-devices is 80.0 GiB!
'ERROR::DockerHandler: Check for space usage failed! Aborting startup.'

$ ./exadt create-file-devices --size 10GiB MyClu

Installing custom JDBC drivers

Python

Lines of Code : 14

License : No License

Copy

[DB : DB1]
    ...
    # OPTIONAL: JDBC driver configuration
    [[JDBC]]
        BucketFS = bfsdefault
        Bucket = default
        # Directory within the bucket that contains the drivers
        Dir = drivers/jdbc

DRIVERNAME=MY_JDBC_DRIVER
JAR

Community Discussions

Trending Discussions on docker-db

When running Apache Airflow in Docker how can I fix the issue where my DAGs don't become unbroken even after fixing them?

Why postgres database server slows down after dump/restore with --no-owner option?

QUESTION

When running Apache Airflow in Docker how can I fix the issue where my DAGs don't become unbroken even after fixing them?

Asked 2022-Feb-03 at 21:40

So in my case I've previously ran Airflow locally directly on my machine and now I'm trying to run it through containers using docker while also keeping the history of my previous dags. However I've been having some issues.
A slight bit of background ... when I first used docker-compose to bring up my containers airflow was sending an error message saying that the column dag_has_import_errors doesn't exist. So I just went ahead and created it and everything seemed to work fine.
Now however my dags are all broken and when I modify one without fixing the issue I can see see the updated line of code in the brief error information that shows up at the top of the webserver.
However when I resolve the issue the code doesn't change and DAG remains broken. I'll provide
this image of the error
this is the image of the code\

also the following is my docker-compose file (I commented out airflow db init but may I should have kept it with the db upgrade parameter as true? My compose file is based on this template\

...

ANSWER

Answered 2022-Feb-03 at 21:40

LETS GOOOOOOOOOO!
PAN COMIDO!
DU GATEAU!
Finally got it to work :). So the main issue was the fact that I didn't have all the required packages. So I tried doing just pip install configparser in the container and this actually helped for one of the DAGs I had to run. However this didn't seem sustainable nor practical so I decided to just go ahead with the Dockerfile method in effect extending the image. I believe this was the way they called it. So here's my Dockerfile \

Source https://stackoverflow.com/questions/70944153

QUESTION

Why postgres database server slows down after dump/restore with --no-owner option?

Asked 2020-Oct-09 at 09:48

When I do dump/restore everything works fine. But when I add option --no-owner and dump/restore database the queries slows down.
For example one complex query run about 3 minues instead of 1sec before dump/restore

The only thing that is changed is --no-owner for pg_dump utility

I suppose when dump with --no-owner option and restore such database then user, which restore database, has no access to index info. But this is just assumption

DETAILS
make docker-dbdump && make docker-dbrestore slows down query execution:

...

ANSWER

Answered 2020-Oct-09 at 09:48

Slows down because of error:

Source https://stackoverflow.com/questions/63799080

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install docker-db

You can download it from GitHub.
You can use docker-db 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.

Support

WORKER::ERROR: Failed to open device '/exa/data/storage/dev.1.data'! WORKER:: errno = Invalid argument. If the container does not start up properly and you see an error like this in the logfiles below /exa/logs/cored/, your filesystem probably does not support O_DIRECT I/O mode.

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