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cloud2sql-0.8.1


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توضیحات

Read infrastructure data from your cloud and export it to a SQL database.
ویژگی مقدار
سیستم عامل -
نام فایل cloud2sql-0.8.1
نام cloud2sql
نسخه کتابخانه 0.8.1
نگهدارنده []
ایمیل نگهدارنده []
نویسنده -
ایمیل نویسنده -
آدرس صفحه اصلی https://github.com/someengineering/cloud2sql
آدرس اینترنتی https://pypi.org/project/cloud2sql/
مجوز Apache Software License 2.0
# Cloud2SQL 🤩 Read infrastructure data from your cloud ☁️ and export it to a SQL database 📋. ![Cloud2SQL](misc/cloud2sql.gif) ## Installation ### Install via homebrew This is the easiest way to install Cloud2SQL. Please note, that the installation process will take a couple of minutes. ```bash brew install someengineering/tap/cloud2sql ``` ### Install via Python pip Alternatively you can install Cloud2SQL as Python package, where Python 3.9 or higher is required. If you only need support for a specific database, instead of `cloud2sql[all]` you can choose between `cloud2sql[snowflake]`, `cloud2sql[parquet]`, `cloud2sql[postgresql]`, `cloud2sql[mysql]`. ```bash pip3 install --user "cloud2sql[all]" ``` This will install the executable to the user install directory of your platform. Please make sure this installation directory is listed in `PATH`. ## Usage The sources and destinations for `cloud2sql` are configured via a configuration file. Create your own configuration by adjusting the [config template file](./config-template.yaml). You can safely delete the sections that are not relevant to you (e.g. if you do not use AWS, you can delete the `aws` section). All sections refer to cloud providers and are enabled if a configuration section is provided. In the next section you will create a YAML configuration file. Once you have created your configuration file, you can run `cloud2sql` with the following command: ```bash cloud2sql --config myconfig.yaml ``` ## Configuration Cloud2SQL uses a YAML configuration file to define the `sources` and `destinations`. ### Sources #### AWS ```yaml sources: aws: # AWS Access Key ID (null to load from env - recommended) access_key_id: null # AWS Secret Access Key (null to load from env - recommended) secret_access_key: null # IAM role name to assume role: null # List of AWS profiles to collect profiles: null # List of AWS Regions to collect (null for all) region: null # Scrape the entire AWS organization scrape_org: false # Assume given role in current account assume_current: false # Do not scrape current account do_not_scrape_current: false ``` #### Google Cloud ```yaml sources: gcp: # GCP service account file(s) service_account: [] # GCP project(s) project: [] ``` #### Kubernetes ```yaml sources: k8s: # Configure access via kubeconfig files. # Structure: # - path: "/path/to/kubeconfig" # all_contexts: false # contexts: ["context1", "context2"] config_files: [] # Alternative: configure access to k8s clusters directly in the config. # Structure: # - name: 'k8s-cluster-name' # certificate_authority_data: 'CERT' # server: 'https://k8s-cluster-server.example.com' # token: 'TOKEN' configs: [] ``` #### DigitalOcean ```yaml sources: digitalocean: # DigitalOcean API tokens for the teams to be collected api_tokens: [] # DigitalOcean Spaces access keys for the teams to be collected, separated by colons spaces_access_keys: [] ``` ### Destinations #### SQLite ```yaml destinations: sqlite: database: /path/to/database.db ``` #### PostgreSQL ```yaml destinations: postgresql: host: 127.0.0.1 port: 5432 user: cloud2sql password: changeme database: cloud2sql args: key: value ``` #### MySQL ```yaml destinations: mysql: host: 127.0.0.1 port: 3306 user: cloud2sql password: changeme database: cloud2sql args: key: value ``` #### MariaDB ```yaml destinations: mariadb: host: 127.0.0.1 port: 3306 user: cloud2sql password: changeme database: cloud2sql args: key: value ``` #### Snowflake ```yaml destinations: snowflake: host: myorg-myaccount user: cloud2sql password: changeme database: cloud2sql/public args: warehouse: compute_wh role: accountadmin ``` #### Apache Parquet ```yaml destinations: file: path: /where/to/write/parquet/files/ format: parquet batch_size: 100_000 ``` #### CSV ```yaml destinations: file: path: /where/to/write/to/csv/files/ format: csv batch_size: 100_000 ``` #### Upload to S3 ```yaml destinations: s3: uri: s3://bucket_name/ region: eu-central-1 format: csv batch_size: 100_000 ``` ### Upload to Google Cloud Storage ```yaml destinations: gcs: uri: gs://bucket_name/ format: parquet batch_size: 100_000 ``` #### My database is not listed here Cloud2SQL uses SQLAlchemy to connect to the database. If your database is not listed here, you can check if it is supported in [SQLAlchemy Dialects](https://docs.sqlalchemy.org/en/20/dialects/index.html). Install the relevant driver and use the connection string from the documentation. #### Example We use a minimal configuration [example](./config-example.yaml) and export the data to a SQLite database. The example uses our AWS default credentials and the default kubernetes config. ```bash cloud2sql --config config-example.yaml ``` For a more in-depth example, check out our [blog post](https://resoto.com/blog/2022/12/21/installing-cloud2sql). ## Local Development Create a local development environment with the following command: ```bash make setup source venv/bin/activate ```


نیازمندی

مقدار نام
==1.4.45 SQLAlchemy
>=6.0 PyYAML
>=12.6.0 rich
>=1.2.1 resotoclient
>=2.2.0 posthog
>=2.28.2 requests
<3.4,>=3.3.2 resotolib
<3.4,>=3.3 resoto-plugin-aws
<3.4,>=3.3 resoto-plugin-digitalocean
<3.4,>=3.3 resoto-plugin-gcp
<3.4,>=3.3 resoto-plugin-k8s
>=1.0.2 pymysql
>=2.9.5 psycopg2-binary
==1.4.7 snowflake-sqlalchemy
==11.0.0 pyarrow
==2.8.0 google-cloud-storage
>=1.26.61 boto3
>=1.0.2 pymysql
>=1.0.2 pymysql
==11.0.0 pyarrow
==2.8.0 google-cloud-storage
>=1.26.61 boto3
>=2.9.5 psycopg2-binary
==1.4.7 snowflake-sqlalchemy


زبان مورد نیاز

مقدار نام
>=3.9 Python


نحوه نصب


نصب پکیج whl cloud2sql-0.8.1:

    pip install cloud2sql-0.8.1.whl


نصب پکیج tar.gz cloud2sql-0.8.1:

    pip install cloud2sql-0.8.1.tar.gz