From 7fb3d5e2529a5d2e6c7598e38b22f6fc122bd0c3 Mon Sep 17 00:00:00 2001 From: MaartenHubrechts Date: Fri, 22 Nov 2024 03:43:16 +0100 Subject: [PATCH 1/4] encodeURIComponent namespace and name in GET (column)lineage requests (#2984) * encodeURIComponent namespace and name in GET lineage request Signed-off-by: Maarten Hubrechts * Use same coding style for encoding as in jobs and datasets requests Signed-off-by: Maarten Hubrechts --------- Signed-off-by: Maarten Hubrechts --- web/src/store/requests/columnlineage.ts | 5 +++-- web/src/store/requests/lineage.ts | 5 +++-- 2 files changed, 6 insertions(+), 4 deletions(-) diff --git a/web/src/store/requests/columnlineage.ts b/web/src/store/requests/columnlineage.ts index 415c12e4b2..2c13c10c08 100644 --- a/web/src/store/requests/columnlineage.ts +++ b/web/src/store/requests/columnlineage.ts @@ -15,8 +15,9 @@ export const getColumnLineage = async ( name: string, depth: number ) => { - const nodeId = generateNodeId(nodeType, namespace, name) - // Node ID cannot be URL encoded + const encodedNamespace = encodeURIComponent(namespace) + const encodedName = encodeURIComponent(name) + const nodeId = generateNodeId(nodeType, encodedNamespace, encodedName) const url = `${API_URL}/column-lineage?nodeId=${nodeId}&depth=${depth}&withDownstream=true` return genericFetchWrapper(url, { method: 'GET' }, 'fetchColumnLineage') } diff --git a/web/src/store/requests/lineage.ts b/web/src/store/requests/lineage.ts index 55bde43f90..f7c19f20f7 100644 --- a/web/src/store/requests/lineage.ts +++ b/web/src/store/requests/lineage.ts @@ -12,8 +12,9 @@ export const getLineage = async ( name: string, depth: number ) => { - const nodeId = generateNodeId(nodeType, namespace, name) - // Node ID cannot be URL encoded + const encodedNamespace = encodeURIComponent(namespace) + const encodedName = encodeURIComponent(name) + const nodeId = generateNodeId(nodeType, encodedNamespace, encodedName) const url = `${API_URL}/lineage?nodeId=${nodeId}&depth=${depth}` return genericFetchWrapper(url, { method: 'GET' }, 'fetchLineage') } From 2e8b29d158d214885e33b89a8e5790f868e131aa Mon Sep 17 00:00:00 2001 From: dk107dk Date: Fri, 13 Dec 2024 17:01:42 -0500 Subject: [PATCH 2/4] Added CsvPath to the list of Marquez adopters. 1-line change. (#2986) Signed-off-by: David Kershaw --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index db6e4e04c9..3b4c5dc849 100644 --- a/README.md +++ b/README.md @@ -32,6 +32,7 @@ Want to be added? Send a pull request our way! * [Datakin](https://datakin.com) * [Northwestern Mutual](https://www.northwesternmutual.com) * [Ilum](https://ilum.cloud) +* [CsvPath](https://www.csvpath.org) ## Try it! From aa1cecf82364dfb33bdf495376a03746aa9b03bf Mon Sep 17 00:00:00 2001 From: Michael Robinson <68482867+merobi-hub@users.noreply.github.com> Date: Fri, 13 Dec 2024 17:03:24 -0500 Subject: [PATCH 3/4] Airflow tutorial (#2985) * Airflow tutorial stub with screenshots. Signed-off-by: merobi-hub * DAG code with postgres database operation plus addl screenshots. Signed-off-by: merobi-hub * Headings and info note. Signed-off-by: merobi-hub * Trivial wording fix. Signed-off-by: merobi-hub * Addl dag, revised storyline, new screenshots. Signed-off-by: merobi-hub * Fix heading. Signed-off-by: merobi-hub * Wording fix. Signed-off-by: merobi-hub * Links and misc fixes. Signed-off-by: merobi-hub * Resources in next steps sec. Signed-off-by: merobi-hub * Details in leveraging section. Signed-off-by: merobi-hub * Wording fix. Signed-off-by: merobi-hub * Remove unused img. Signed-off-by: merobi-hub * Windows cmds. Signed-off-by: merobi-hub * Remove unnecessary step and fix numbering. Signed-off-by: merobi-hub * Number steps in first sec. Signed-off-by: merobi-hub * Formatting. Signed-off-by: merobi-hub * Clarify dataset scheduling. Signed-off-by: merobi-hub * Move to new tutorials dir. Signed-off-by: merobi-hub --------- Signed-off-by: merobi-hub Co-authored-by: Willy Lulciuc --- docs/v2/docs/tutorials/_category_.json | 8 + .../airflow_tutorial/brkn_detail_lrg.png | Bin 0 -> 48577 bytes .../tutorials/airflow_tutorial/brkn_graph.png | Bin 0 -> 43190 bytes .../docs/tutorials/airflow_tutorial/index.mdx | 325 ++++++++++++++++++ .../airflow_tutorial/marquez_dataops.png | Bin 0 -> 96268 bytes .../marquez_dataset_versions.png | Bin 0 -> 101267 bytes 6 files changed, 333 insertions(+) create mode 100644 docs/v2/docs/tutorials/_category_.json create mode 100644 docs/v2/docs/tutorials/airflow_tutorial/brkn_detail_lrg.png create mode 100644 docs/v2/docs/tutorials/airflow_tutorial/brkn_graph.png create mode 100644 docs/v2/docs/tutorials/airflow_tutorial/index.mdx create mode 100644 docs/v2/docs/tutorials/airflow_tutorial/marquez_dataops.png create mode 100644 docs/v2/docs/tutorials/airflow_tutorial/marquez_dataset_versions.png diff --git a/docs/v2/docs/tutorials/_category_.json 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[Prerequisites](#prerequisites) +2. [Get and start Marquez](#get-marquez) +3. [Configure Apache Airflow to send events to Marquez](#configure-airflow) +4. [View Airflow operational analytics and data lineage in Marquez](#view-airflow) +5. [Next steps](#next-steps) +6. [Feedback?](#feedback) + +# Prerequisites {#prerequisites} + +Before you begin, make sure you have installed: + + + + +* [Docker 17.05+](https://docs.docker.com/install) +* [Docker Compose](https://docs.docker.com/compose/install) +* [Airflow 2.8+](https://airflow.apache.org/docs/apache-airflow/stable/start.html) +* [PostgreSQL 14+](https://www.postgresql.org) + + + + +* [Git Bash](https://gitforwindows.org/) +* [PostgreSQL 14+](https://www.postgresql.org/) +* [Docker 17.05+](https://docs.docker.com/install) +* [Docker Compose](https://docs.docker.com/compose/install) +* [Airflow 2.8+](https://airflow.apache.org/docs/apache-airflow/stable/start.html) + + + + +## Get and start Marquez {#get-marquez} + +1. To checkout the Marquez source code, run: + + + + + ```bash + $ git clone https://github.com/MarquezProject/marquez && cd marquez + ``` + + + + + ```bash + $ git config --global core.autocrlf false + $ git clone https://github.com/MarquezProject/marquez && cd marquez + ``` + + + + +2. Both Airflow and Marquez require port 5432 for their metastores, but the Marquez services are easier to configure. You can also assign the database service to a new port on the fly. To start Marquez using port 2345 for the database, run: + + + + + ```bash + $ ./docker/up.sh --db-port 2345 + ``` + + + + + Verify that Postgres and Bash are in your `PATH`, then run: + + ```bash + $ sh ./docker/up.sh --db-port 2345 + ``` + + + + +3. To view the Marquez UI and verify it's running, open [http://localhost:3000](http://localhost:3000). The UI allows you to: + + - view cross-platform dependencies, meaning you can see the jobs across the tools in your ecosystem that produce or consume a critical table. + - view run-level metadata of current and previous job runs, enabling you to see the latest status of a job and the update history of a dataset. + - get a high-level view of resource usage, allowing you to see trends in your operations. + +## Configure Airflow to send events to Marquez {#configure-airflow} + +1. To configure Airflow to emit OpenLineage events to Marquez, you need to define an OpenLineage transport. One way you can do this is by using an environment variable. To use `http` and send events to the Marquez API running locally on port `5000`, run: + + + + + ```bash + $ export AIRFLOW__OPENLINEAGE__TRANSPORT='{"type": "http", "url": "http://localhost:5000", "endpoint": "api/v1/lineage"}' + ``` + + + + + ```bash + $ set AIRFLOW__OPENLINEAGE__TRANSPORT='{"type": "http", "url": "http://localhost:5000", "endpoint": "api/v1/lineage"}' + ``` + + + + +2. You also need to define a namespace for Airflow jobs. It can be any string. Run: + + + + + ```bash + $ export AIRFLOW__OPENLINEAGE__NAMESPACE='my-team-airflow-instance' + ``` + + + + + ```bash + $ set AIRFLOW__OPENLINEAGE__NAMESPACE='my-team-airflow-instance' + ``` + + + + +3. To add the required Airflow OpenLineage Provider package to your Airflow environment, run: + + + + + ```bash + $ pip install apache-airflow-providers-openlineage + ``` + + + + + ```bash + $ pip install apache-airflow-providers-openlineage + ``` + + + + +4. To enable adding a Postgres connection for this tutorial, run: + + + + + ```bash + $ pip install apache-airflow-providers-postgres + ``` + + + + + ```bash + $ pip install apache-airflow-providers-postgres + ``` + + + + +5. Create a database in your local Postgres instance and create an Airflow Postgres connection using the default ID (`postgres_default`). For help with the former, see: [Postgres Documentation](https://www.postgresql.org/docs/). For help with the latter, see: [Managing Connections](https://airflow.apache.org/docs/apache-airflow/stable/howto/connection.html#managing-connections). + +6. Add a flaky DAG to Airflow that will _often_ create a table in the Postgres database: + + ```py + from __future__ import annotations + import time + import random + + import pendulum + from airflow.decorators import dag, task + from airflow.operators.empty import EmptyOperator + from airflow.providers.common.sql.operators.sql import SQLExecuteQueryOperator + from airflow.datasets import Dataset + + SQL="""CREATE TABLE IF NOT EXISTS airflowsample ( + col1 VARCHAR(255), + col2 VARCHAR(255) + )""" + + @dag( + schedule='@hourly', + start_date=pendulum.datetime(2021, 1, 1, tz="UTC"), + catchup=False, + tags=["example"], + dag_display_name="Flaky DAG", + ) + + def example_display_name_brkn(): + + sample_task_1 = EmptyOperator( + task_id="sample_task_1", + task_display_name="Sample Task 1", + ) + + sample_task_2 = SQLExecuteQueryOperator( + task_id="sample_task_3", + sql=SQL, + conn_id="postgres_default", + ) + + @task( + task_display_name="Sample Task 3", + outlets=[Dataset("sample_pg_table")] + ) + def sample_task_3(): + pers = [0, 60, 120, 'fail'] + per = random.choice(pers) + time.sleep(per) + + sample_task_1 >> sample_task_2 >> sample_task_3() + + example_display_name_brkn() + + ``` + +7. Add another DAG that updates (and then drops) the Postgres table: + + ```py + from __future__ import annotations + import time + import random + + import pendulum + from airflow.decorators import dag, task + from airflow.operators.empty import EmptyOperator + from airflow.providers.common.sql.operators.sql import SQLExecuteQueryOperator + from airflow.datasets import Dataset + + SQL_1="INSERT INTO airflowsample (col1) VALUES ('row')" + + SQL_2="DROP TABLE airflowsample" + + @dag( + schedule=[Dataset("sample_pg_table")], + start_date=pendulum.datetime(2021, 1, 1, tz="UTC"), + catchup=False, + tags=["example"], + ) + + def example_insert_brkn(): + + sample_task_1 = EmptyOperator( + task_id="sample_insert_task_1", + task_display_name="Sample Task 1", + ) + + sample_task_2 = SQLExecuteQueryOperator( + task_id="sample_insert_task_2", + sql=SQL_1, + conn_id="postgres_default", + ) + + sample_task_3 = SQLExecuteQueryOperator( + task_id="sample_insert_task_3", + sql=SQL_2, + conn_id="postgres_default", + ) + + sample_task_1 >> sample_task_2 >> sample_task_3 + + example_insert_brkn() + + ``` + + This DAG is scheduled on the dataset passed to the `sample_task_3` in the first DAG, so it will run automatically when that DAG completes a run. + +8. Run your DAGs by triggering the `Flaky DAG`. To verify that the OpenLineage Provider is configured correctly, check the task logs for an `INFO`-level log reporting the transport type you defined. In this case, the log will say: `OpenLineageClient will use http transport`. + +## View Airflow operational analytics and data lineage in Marquez {#view-airflow} + +The DataOps view offers a high-level view of historical and in-process operations, including task-level run status and runtime information: + +![](marquez_dataops.png) + +### Datasets lineage graph + +In the Datasets view, click on the dataset to get a cross-platform-capable lineage graph. In this case, you will be able to see the upstream tasks across the two DAGs in your environment that feed the `airflowsample` table in Airflow: + +![](brkn_graph.png) + +:::info + +Dependencies in other platforms that modify or consume the same dataset will also appear in this graph. + +::: + +### Leveraging the Marquez graph + +When data produced by multiple tools in your data ecosystem arrives late or becomes stale, root-cause analysis is much easier when you know: +- what jobs and datasets are upstream. +- what the run status of each upstream job is. +- how each upstream job has performed recently. +- whether quality issues have affected upstream datasets. + +In the Marquez lineage graph, you can click on an upstream job node to see information including: +- the latest run status. +- the last runtime. +- the time last started. +- the time last finished. + +![](brkn_detail_lrg.png) + +You can also access a versioned table schema history from the Marquez graph, so you can see at a glance if data quality in a table has become compromised and when a loss occurred: + +![](marquez_dataset_versions.png) + +## Next steps {#next-steps} + +Continue your journey with Marquez by consulting the following resources: +- [Backfilling Airflow DAGs Using Marquez](https://openlineage.io/docs/guides/airflow-backfill-dags) +- [Using Marquez with dbt](https://openlineage.io/docs/guides/dbt) +- [Using OpenLineage with Spark](https://openlineage.io/docs/guides/spark) + +## Feedback? {#feedback} + +What did you think of this guide? 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z82RD`hDX^L86(+@b}L6Q?{`aiku0GH3wLWQ;EP!`6-Kk5p=Ex!#ctrp0bnGU>5U@; z{$a{@{|*>ft4JVcoK~Tlw=1%TDSBZ-&7`#(wP^mp_6QI!Ay literal 0 HcmV?d00001 From a3c88231d2cdc3d7902f28079232c04b42f31e1c Mon Sep 17 00:00:00 2001 From: David Sharp <34074888+davidsharp7@users.noreply.github.com> Date: Sat, 14 Dec 2024 11:14:39 +1300 Subject: [PATCH 4/4] make ds facets runuuid/eventtype nullable (#2974) Signed-off-by: sharpd Co-authored-by: Willy Lulciuc --- api/src/main/java/marquez/db/DatasetFacetsDao.java | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/api/src/main/java/marquez/db/DatasetFacetsDao.java b/api/src/main/java/marquez/db/DatasetFacetsDao.java index ce4a2556cd..30eb575330 100644 --- a/api/src/main/java/marquez/db/DatasetFacetsDao.java +++ b/api/src/main/java/marquez/db/DatasetFacetsDao.java @@ -153,9 +153,9 @@ default void insertDatasetFacetsFor( default void insertInputDatasetFacetsFor( @NonNull UUID datasetUuid, @NonNull UUID datasetVersionUuid, - @NonNull UUID runUuid, + @Nullable UUID runUuid, @NonNull Instant lineageEventTime, - @NonNull String lineageEventType, + @Nullable String lineageEventType, @NonNull LineageEvent.InputDatasetFacets inputFacets) { final Instant now = Instant.now(); @@ -179,9 +179,9 @@ default void insertInputDatasetFacetsFor( default void insertOutputDatasetFacetsFor( @NonNull UUID datasetUuid, @NonNull UUID datasetVersionUuid, - @NonNull UUID runUuid, + @Nullable UUID runUuid, @NonNull Instant lineageEventTime, - @NonNull String lineageEventType, + @Nullable String lineageEventType, @NonNull LineageEvent.OutputDatasetFacets outputFacets) { final Instant now = Instant.now();