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docs: versions bump for 0.13.1 (#10285)
Co-authored-by: David Leifker <david.leifker@acryl.io>
This commit is contained in:
Hyejin Yoon
GitHub
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55dca386a8
@ -40,7 +40,7 @@ HOSTED_DOCS_ONLY-->
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---
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[Quickstart](https://datahubproject.io/docs/quickstart) |
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[Features](https://datahubproject.io/docs/features) |
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[Features](https://datahubproject.io/docs/) |
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[Roadmap](https://feature-requests.datahubproject.io/roadmap) |
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[Adoption](#adoption) |
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[Demo](https://demo.datahubproject.io/) |
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@ -66,7 +66,7 @@ module.exports = {
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},
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items: [
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{
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to: "docs/features",
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to: "docs/",
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activeBasePath: "docs",
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label: "Docs",
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position: "right",
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@ -149,6 +149,22 @@ module.exports = {
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value: '<div class="dropdown__link"><b>Archived versions</b></div>',
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},
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{
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value: `
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<a class="dropdown__link" href="https://docs-website-lzxh86531-acryldata.vercel.app/docs/features">0.13.0
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<svg width="12" height="12" aria-hidden="true" viewBox="0 0 24 24"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg>
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</a>
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`,
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type: "html",
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},
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{
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value: `
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<a class="dropdown__link" href="https://docs-website-2uuxmgza2-acryldata.vercel.app/docs/features">0.12.1
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<svg width="12" height="12" aria-hidden="true" viewBox="0 0 24 24"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg>
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</a>
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`,
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type: "html",
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},
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{
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value: `
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<a class="dropdown__link" href="https://docs-website-irpoe2osc-acryldata.vercel.app/docs/features">0.11.0
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<svg width="12" height="12" aria-hidden="true" viewBox="0 0 24 24"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg>
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@ -182,10 +198,6 @@ module.exports = {
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label: "Quickstart",
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to: "docs/quickstart",
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},
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{
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label: "Features",
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to: "docs/features",
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},
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],
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},
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{
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@ -73,8 +73,7 @@ const Hero = ({}) => {
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<QuestionCircleOutlined />
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Learn
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</div>
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<Link to={useBaseUrl("docs/introduction")}>What is DataHub?</Link>
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<Link to={useBaseUrl("docs/features")}>What can I do with DataHub?</Link>
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<Link to={useBaseUrl("docs/")}>What is DataHub?</Link>
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<Link to={useBaseUrl("docs/architecture/architecture")}>How is DataHub architected?</Link>
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<Link to="https://demo.datahubproject.io">See DataHub in action</Link>
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</div>
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@ -1,4 +1,4 @@
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[
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"0.13.0",
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"0.12.1"
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"0.13.1",
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"0.13.0"
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]
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@ -25,7 +25,7 @@ Get started with the Metadata Store by following the [Quickstart Guide](https://
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Metadata Models are schemas defining the shape of the Entities & Aspects comprising the Metadata Graph, along with the relationships between them. They are defined
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using [PDL](https://linkedin.github.io/rest.li/pdl_schema), a modeling language quite similar in form to Protobuf while serializes to JSON. Entities represent a specific class of Metadata
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Asset such as a Dataset, a Dashboard, a Data Pipeline, and beyond. Each *instance* of an Entity is identified by a unique identifier called an `urn`. Aspects represent related bundles of data attached
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Asset such as a Dataset, a Dashboard, a Data Pipeline, and beyond. Each *instance* of an Entity is identified by a unique identifier called an `urn`. Aspects represent related bundles of data attached
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to an instance of an Entity such as its descriptions, tags, and more. View the current set of Entities supported [here](https://datahubproject.io/docs/metadata-modeling/metadata-model#exploring-datahubs-metadata-model).
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Learn more about DataHub models Metadata [here](https://datahubproject.io/docs/metadata-modeling/metadata-model/).
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@ -37,13 +37,13 @@ Snowflake, Looker, MySQL, Kafka), transforming it into DataHub's [Metadata Model
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either Kafka or using the Metadata Store Rest APIs directly. DataHub supports an [extensive list of Source connectors](https://datahubproject.io/docs/metadata-ingestion/#installing-plugins) to choose from, along with
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a host of capabilities including schema extraction, table & column profiling, usage information extraction, and more.
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Getting started with the Ingestion Framework is as simple: just define a YAML file and execute the `datahub ingest` command.
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Getting started with the Ingestion Framework is as simple: just define a YAML file and execute the `datahub ingest` command.
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Learn more by heading over the the [Metadata Ingestion](https://datahubproject.io/docs/metadata-ingestion/) guide.
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## GraphQL API
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The [GraphQL](https://graphql.org/) API provides a strongly-typed, entity-oriented API that makes interacting with the Entities comprising the Metadata
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Graph simple, including APIs for adding and removing tags, owners, links & more to Metadata Entities! Most notably, this API is consumed by the User Interface (discussed below) for enabling Search & Discovery, Governance, Observability
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Graph simple, including APIs for adding and removing tags, owners, links & more to Metadata Entities! Most notably, this API is consumed by the User Interface (discussed below) for enabling Search & Discovery, Governance, Observability
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and more.
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To get started using the GraphQL API, check out the [Getting Started with GraphQL](https://datahubproject.io/docs/api/graphql/getting-started) guide.
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@ -51,7 +51,7 @@ To get started using the GraphQL API, check out the [Getting Started with GraphQ
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## User Interface
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DataHub comes with a React UI including an ever-evolving set of features to make Discovering, Governing, & Debugging your Data Assets easy & delightful.
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For a full overview of the capabilities currently supported, take a look at the [Features](https://datahubproject.io/docs/features/) overview. For a look at what's coming next,
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For a full overview of the capabilities currently supported, take a look at the [Features](features.md) overview. For a look at what's coming next,
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head over to the [Roadmap](https://datahubproject.io/docs/roadmap/).
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## Learn More
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@ -20,6 +20,16 @@ This file documents any backwards-incompatible changes in DataHub and assists pe
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### Breaking Changes
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### Potential Downtime
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### Deprecations
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### Other Notable Change
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## 0.13.1
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### Breaking Changes
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- #9934 and #10075 - Stateful ingestion is now enabled by default if a `pipeline_name` is set and either a datahub-rest sink or `datahub_api` is specified. It will still be disabled by default when any other sink type is used or if there is no pipeline name set.
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- #10002 - The `DataHubGraph` client no longer makes a request to the backend during initialization. If you want to preserve the old behavior, call `graph.test_connection()` after constructing the client.
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- #10026 - The dbt `use_compiled_code` option has been removed, because we now support capturing both source and compiled dbt SQL. This can be configured using `include_compiled_code`, which will be default enabled in 0.13.1.
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@ -27,6 +37,7 @@ This file documents any backwards-incompatible changes in DataHub and assists pe
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- #10090 - For Redshift ingestion, `use_lineage_v2` is now enabled by default.
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- #10147 - For looker ingestion, the browse paths for looker Dashboard, Chart, View, Explore have been updated to align with Looker UI. This does not affect URNs or lineage but primarily affects (improves) browsing experience.
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- #10164 - For dbt ingestion, `entities_enabled.model_performance` and `include_compiled_code` are now both enabled by default. Upgrading dbt ingestion will also require upgrading the backend to 0.13.1.
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- #10066 - For view access controls, `SEARCH_AUTHORIZATION_ENABLED` replaced by `VIEW_AUTHORIZATION_ENABLED` to more accurately represent the feature.
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- #8231 - Google Analytics 3 has been fully sunsetted by Google as of July 2023, so we now support GA4 thanks to this PR and no longer support GA3 (which would have been broken since last year anyways).
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- #10278 - Renaming Presto-On-Hive Source to Hive Metastore source to reflect better its purpose
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