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86 lines
7.8 KiB
Markdown
86 lines
7.8 KiB
Markdown
# MySQL
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For context on getting started with ingestion, check out our [metadata ingestion guide](../README.md).
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## Setup
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To install this plugin, run `pip install 'acryl-datahub[mysql]'`.
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## Capabilities
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This plugin extracts the following:
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- Metadata for databases, schemas, and tables
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- Column types and schema associated with each table
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- Table, row, and column statistics via optional [SQL profiling](./sql_profiles.md)
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| Capability | Status | Details |
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|-------------------|--------|------------------------------------------|
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| Platform Instance | ✔️ | [link](../../docs/platform-instances.md) |
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| Data Containers | ✔️ | |
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| Data Domains | ✔️ | [link](../../docs/domains.md) |
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## Quickstart recipe
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Check out the following recipe to get started with ingestion! See [below](#config-details) for full configuration options.
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For general pointers on writing and running a recipe, see our [main recipe guide](../README.md#recipes).
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```yml
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source:
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type: mysql
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config:
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# Coordinates
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host_port: localhost:3306
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database: dbname
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# Credentials
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username: root
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password: example
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sink:
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# sink configs
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```
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## Config details
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Like all SQL-based sources, the MySQL integration supports:
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- Stale Metadata Deletion: See [here](./stateful_ingestion.md) for more details on configuration.
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- SQL Profiling: See [here](./sql_profiles.md) for more details on configuration.
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Note that a `.` is used to denote nested fields in the YAML recipe.
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| Field | Required | Default | Description |
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|--------------------------------|----------|--------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| `username` | | | MySQL username. |
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| `password` | | | MySQL password. |
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| `host_port` | | `"localhost:3306"` | MySQL host URL. |
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| `database` | | | MySQL database. |
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| `database_alias` | | | Alias to apply to database when ingesting. A table with urn `urn:li:dataset:(urn:li:dataPlatform:mysql,<database>.<table>,PROD)` will turn into `urn:li:dataset:(urn:li:dataPlatform:mysql,<database_alias>.<table>,PROD)`. |
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| `env` | | `"PROD"` | Environment to use in namespace when constructing URNs. |
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| `platform_instance` | | None | The Platform instance to use while constructing URNs. |
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| `options.<option>` | | | Any options specified here will be passed to SQLAlchemy's `create_engine` as kwargs.<br />See https://docs.sqlalchemy.org/en/14/core/engines.html#sqlalchemy.create_engine for details. |
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| `table_pattern.allow` | | | List of regex patterns for tables to include in ingestion. |
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| `table_pattern.deny` | | | List of regex patterns for tables to exclude from ingestion. |
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| `table_pattern.ignoreCase` | | `True` | Whether to ignore case sensitivity during pattern matching. |
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| `schema_pattern.allow` | | | List of regex patterns for schemas to include in ingestion. |
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| `schema_pattern.deny` | | | List of regex patterns for schemas to exclude from ingestion. |
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| `schema_pattern.ignoreCase` | | `True` | Whether to ignore case sensitivity during pattern matching. |
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| `view_pattern.allow` | | | List of regex patterns for views to include in ingestion. |
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| `view_pattern.deny` | | | List of regex patterns for views to exclude from ingestion. |
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| `view_pattern.ignoreCase` | | `True` | Whether to ignore case sensitivity during pattern matching. |
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| `include_tables` | | `True` | Whether tables should be ingested. |
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| `include_views` | | `True` | Whether views should be ingested. |
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| `domain.domain_key.allow` | | | List of regex patterns for tables/schemas to set domain_key domain key (domain_key can be any string like `sales`. There can be multiple domain key specified. |
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| `domain.domain_key.deny` | | | List of regex patterns for tables/schemas to not assign domain_key. There can be multiple domain key specified. |
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| `domain.domain_key.ignoreCase` | | `True` | Whether to ignore case sensitivity during pattern matching.There can be multiple domain key specified. |
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## Compatibility
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Coming soon!
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## Questions
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If you've got any questions on configuring this source, feel free to ping us on [our Slack](https://slack.datahubproject.io/)!
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