Merge branch 'master' into master

Author: haon85

.github/ISSUE_TEMPLATE/--bug-report.md

@@ -29,4 +29,4 @@ If applicable, add screenshots to help explain your problem.
  - Version [e.g. 22]
 
 **Additional context**
-Add any other context about the problem here.
+Add any other context about the problem here.

.github/ISSUE_TEMPLATE/datahub-v1-0-rc-bug-report.md

@@ -0,0 +1,32 @@
+---
+name: DataHub v1.0-rc Bug Report
+about: Report issues found in DataHub v1.0 Release Candidates
+title: "[v1.0-rc/bug] Description of Bug"
+labels: bug, datahub-v1.0-rc
+assignees: chriscollins3456, david-leifker, maggiehays
+
+---
+
+**Describe the bug**
+A clear and concise description of what the bug is.
+
+**To Reproduce**
+Steps to reproduce the behavior:
+1. Go to '...'
+2. Click on '....'
+3. Scroll down to '....'
+4. See error
+
+**Expected behavior**
+A clear and concise description of what you expected to happen.
+
+**Screenshots and/or Screen Recordings**
+If applicable, add screenshots and/or screen recordings to help explain the issue.
+
+**System details (please complete the following information):**
+ - DataHub Version Tag [e.g. v1.0-rc1]
+ - OS: [e.g. iOS]
+ - Browser [e.g. chrome, safari]
+
+**Additional context**
+Add any other context about the problem here.

.github/workflows/docker-unified.yml

@@ -44,6 +44,7 @@ jobs:
       tag: ${{ steps.tag.outputs.tag }}
       slim_tag: ${{ steps.tag.outputs.slim_tag }}
       full_tag: ${{ steps.tag.outputs.full_tag }}
+      short_sha: ${{ steps.tag.outputs.short_sha }} # needed for auto-deploy
       unique_tag: ${{ steps.tag.outputs.unique_tag }}
       unique_slim_tag: ${{ steps.tag.outputs.unique_slim_tag }}
       unique_full_tag: ${{ steps.tag.outputs.unique_full_tag }}
@@ -65,6 +66,8 @@ jobs:
       postgres_setup_change: ${{ steps.ci-optimize.outputs.postgres-setup-change == 'true' }}
       elasticsearch_setup_change: ${{ steps.ci-optimize.outputs.elasticsearch-setup-change == 'true' }}
       smoke_test_change: ${{ steps.ci-optimize.outputs.smoke-test-change == 'true' }}
+      integrations_service_change: "false"
+      datahub_executor_change: "false"
     steps:
       - name: Check out the repo
         uses: acryldata/sane-checkout-action@v3
@@ -864,7 +867,8 @@ jobs:
           context: .
           file: ./docker/datahub-ingestion/Dockerfile
           platforms: linux/amd64,linux/arm64/v8
-          depot-project: ${{ vars.DEPOT_PROJECT_ID }}
+          # Workaround 2025-01-25 - Depot publishing errors
+          depot-project: ${{ (startsWith(github.ref, 'refs/tags/') || github.event_name == 'release') && '' || vars.DEPOT_PROJECT_ID }}
       - name: Compute Tag
         id: tag
         run: echo "tag=${{ needs.setup.outputs.ingestion_change == 'true' && needs.setup.outputs.unique_slim_tag || 'head-slim' }}" >> "$GITHUB_OUTPUT"
@@ -963,7 +967,8 @@ jobs:
           context: .
           file: ./docker/datahub-ingestion/Dockerfile
           platforms: linux/amd64,linux/arm64/v8
-          depot-project: ${{ vars.DEPOT_PROJECT_ID }}
+          # Workaround 2025-01-25 - Depot publishing errors
+          depot-project: ${{ (startsWith(github.ref, 'refs/tags/') || github.event_name == 'release') && '' || vars.DEPOT_PROJECT_ID }}
       - name: Compute Tag (Full)
         id: tag
         run: echo "tag=${{ needs.setup.outputs.ingestion_change == 'true' && needs.setup.outputs.unique_tag || 'head' }}" >> "$GITHUB_OUTPUT"
@@ -1178,11 +1183,6 @@ jobs:
             docker pull '${{ env.DATAHUB_ELASTIC_SETUP_IMAGE }}:head'
             docker tag '${{ env.DATAHUB_ELASTIC_SETUP_IMAGE }}:head' '${{ env.DATAHUB_ELASTIC_SETUP_IMAGE }}:${{ needs.setup.outputs.unique_tag }}'
           fi
-          if [ '${{ needs.setup.outputs.integrations_service_change }}' == 'false' ]; then
-            echo 'datahub-integration-service head images'
-            docker pull '${{ env.DATAHUB_INTEGRATIONS_IMAGE }}:head'
-            docker tag '${{ env.DATAHUB_INTEGRATIONS_IMAGE }}:head' '${{ env.DATAHUB_INTEGRATIONS_IMAGE }}:${{ needs.setup.outputs.unique_tag }}'
-          fi
       - name: CI Slim Head Images
         run: |
           if [ '${{ needs.setup.outputs.ingestion_change }}' == 'false' ]; then

build.gradle

@@ -38,7 +38,7 @@ buildscript {
   ext.springVersion = '6.1.14'
   ext.springBootVersion = '3.2.9'
   ext.springKafkaVersion = '3.1.6'
-  ext.openTelemetryVersion = '1.18.0'
+  ext.openTelemetryVersion = '1.45.0'
   ext.neo4jVersion = '5.20.0'
   ext.neo4jTestVersion = '5.20.0'
   ext.neo4jApocVersion = '5.20.0'
@@ -220,7 +220,10 @@ project.ext.externalDependency = [
     'neo4jApocCore': 'org.neo4j.procedure:apoc-core:' + neo4jApocVersion,
     'neo4jApocCommon': 'org.neo4j.procedure:apoc-common:' + neo4jApocVersion,
     'opentelemetryApi': 'io.opentelemetry:opentelemetry-api:' + openTelemetryVersion,
-    'opentelemetryAnnotations': 'io.opentelemetry:opentelemetry-extension-annotations:' + openTelemetryVersion,
+    'opentelemetrySdk': 'io.opentelemetry:opentelemetry-sdk:' + openTelemetryVersion,
+    'opentelemetrySdkTrace': 'io.opentelemetry:opentelemetry-sdk-trace:' + openTelemetryVersion,
+    'opentelemetryAutoConfig': 'io.opentelemetry:opentelemetry-sdk-extension-autoconfigure:' + openTelemetryVersion,
+    'opentelemetryAnnotations': 'io.opentelemetry.instrumentation:opentelemetry-instrumentation-annotations:2.11.0',
     'opentracingJdbc':'io.opentracing.contrib:opentracing-jdbc:0.2.15',
     'parquet': 'org.apache.parquet:parquet-avro:1.12.3',
     'parquetHadoop': 'org.apache.parquet:parquet-hadoop:1.13.1',

datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/group/EntityCountsResolver.java

@@ -12,7 +12,7 @@
 import com.linkedin.metadata.service.ViewService;
 import graphql.schema.DataFetcher;
 import graphql.schema.DataFetchingEnvironment;
-import io.opentelemetry.extension.annotations.WithSpan;
+import io.opentelemetry.instrumentation.annotations.WithSpan;
 import java.util.List;
 import java.util.Map;
 import java.util.concurrent.CompletableFuture;

datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/mutate/MutableTypeBatchResolver.java

@@ -2,13 +2,14 @@
 
 import static com.linkedin.datahub.graphql.resolvers.ResolverUtils.*;
 
-import com.codahale.metrics.Timer;
+import com.linkedin.datahub.graphql.QueryContext;
 import com.linkedin.datahub.graphql.concurrency.GraphQLConcurrencyUtils;
 import com.linkedin.datahub.graphql.exception.AuthorizationException;
 import com.linkedin.datahub.graphql.types.BatchMutableType;
 import com.linkedin.metadata.utils.metrics.MetricUtils;
 import graphql.schema.DataFetcher;
 import graphql.schema.DataFetchingEnvironment;
+import io.datahubproject.metadata.context.OperationContext;
 import java.util.List;
 import java.util.concurrent.CompletableFuture;
 import org.slf4j.Logger;
@@ -33,25 +34,29 @@ public MutableTypeBatchResolver(final BatchMutableType<I, B, T> batchMutableType
 
   @Override
   public CompletableFuture<List<T>> get(DataFetchingEnvironment environment) throws Exception {
+    final QueryContext context = environment.getContext();
+    final OperationContext opContext = context.getOperationContext();
+
     final B[] input =
         bindArgument(environment.getArgument("input"), _batchMutableType.batchInputClass());
 
-    return GraphQLConcurrencyUtils.supplyAsync(
-        () -> {
-          Timer.Context timer = MetricUtils.timer(this.getClass(), "batchMutate").time();
-
-          try {
-            return _batchMutableType.batchUpdate(input, environment.getContext());
-          } catch (AuthorizationException e) {
-            throw e;
-          } catch (Exception e) {
-            _logger.error("Failed to perform batchUpdate", e);
-            throw new IllegalArgumentException(e);
-          } finally {
-            timer.stop();
-          }
-        },
-        this.getClass().getSimpleName(),
-        "get");
+    return opContext.withSpan(
+        "batchMutate",
+        () ->
+            GraphQLConcurrencyUtils.supplyAsync(
+                () -> {
+                  try {
+                    return _batchMutableType.batchUpdate(input, environment.getContext());
+                  } catch (AuthorizationException e) {
+                    throw e;
+                  } catch (Exception e) {
+                    _logger.error("Failed to perform batchUpdate", e);
+                    throw new IllegalArgumentException(e);
+                  }
+                },
+                this.getClass().getSimpleName(),
+                "get"),
+        MetricUtils.DROPWIZARD_METRIC,
+        "true");
   }
 }

datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/recommendation/ListRecommendationsResolver.java

@@ -27,7 +27,7 @@
 import graphql.schema.DataFetcher;
 import graphql.schema.DataFetchingEnvironment;
 import io.datahubproject.metadata.context.OperationContext;
-import io.opentelemetry.extension.annotations.WithSpan;
+import io.opentelemetry.instrumentation.annotations.WithSpan;
 import java.net.URISyntaxException;
 import java.util.Collections;
 import java.util.List;

datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/resolvers/search/SearchResolver.java

@@ -19,7 +19,7 @@
 import com.linkedin.metadata.query.SearchFlags;
 import graphql.schema.DataFetcher;
 import graphql.schema.DataFetchingEnvironment;
-import io.opentelemetry.extension.annotations.WithSpan;
+import io.opentelemetry.instrumentation.annotations.WithSpan;
 import java.util.Collections;
 import java.util.concurrent.CompletableFuture;
 import lombok.RequiredArgsConstructor;

datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/mlmodel/mappers/MLModelGroupPropertiesMapper.java

@@ -3,8 +3,11 @@
 import com.linkedin.common.urn.Urn;
 import com.linkedin.datahub.graphql.QueryContext;
 import com.linkedin.datahub.graphql.generated.MLModelGroupProperties;
+import com.linkedin.datahub.graphql.generated.MLModelLineageInfo;
 import com.linkedin.datahub.graphql.types.common.mappers.CustomPropertiesMapper;
+import com.linkedin.datahub.graphql.types.common.mappers.TimeStampToAuditStampMapper;
 import com.linkedin.datahub.graphql.types.mappers.EmbeddedModelMapper;
+import java.util.stream.Collectors;
 import javax.annotation.Nonnull;
 import javax.annotation.Nullable;
 
@@ -33,10 +36,40 @@ public MLModelGroupProperties apply(
       result.setVersion(VersionTagMapper.map(context, mlModelGroupProperties.getVersion()));
     }
     result.setCreatedAt(mlModelGroupProperties.getCreatedAt());
+    if (mlModelGroupProperties.hasCreated()) {
+      result.setCreated(
+          TimeStampToAuditStampMapper.map(context, mlModelGroupProperties.getCreated()));
+    }
+    if (mlModelGroupProperties.getName() != null) {
+      result.setName(mlModelGroupProperties.getName());
+    } else {
+      // backfill name from URN for backwards compatibility
+      result.setName(entityUrn.getEntityKey().get(1)); // indexed access is safe here
+    }
+
+    if (mlModelGroupProperties.hasLastModified()) {
+      result.setLastModified(
+          TimeStampToAuditStampMapper.map(context, mlModelGroupProperties.getLastModified()));
+    }
 
     result.setCustomProperties(
         CustomPropertiesMapper.map(mlModelGroupProperties.getCustomProperties(), entityUrn));
 
+    final MLModelLineageInfo lineageInfo = new MLModelLineageInfo();
+    if (mlModelGroupProperties.hasTrainingJobs()) {
+      lineageInfo.setTrainingJobs(
+          mlModelGroupProperties.getTrainingJobs().stream()
+              .map(urn -> urn.toString())
+              .collect(Collectors.toList()));
+    }
+    if (mlModelGroupProperties.hasDownstreamJobs()) {
+      lineageInfo.setDownstreamJobs(
+          mlModelGroupProperties.getDownstreamJobs().stream()
+              .map(urn -> urn.toString())
+              .collect(Collectors.toList()));
+    }
+    result.setMlModelLineageInfo(lineageInfo);
+
     return result;
   }
 }

datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/mlmodel/mappers/MLModelPropertiesMapper.java

@@ -5,6 +5,7 @@
 import com.linkedin.common.urn.Urn;
 import com.linkedin.datahub.graphql.QueryContext;
 import com.linkedin.datahub.graphql.generated.MLModelGroup;
+import com.linkedin.datahub.graphql.generated.MLModelLineageInfo;
 import com.linkedin.datahub.graphql.generated.MLModelProperties;
 import com.linkedin.datahub.graphql.types.common.mappers.CustomPropertiesMapper;
 import com.linkedin.datahub.graphql.types.common.mappers.TimeStampToAuditStampMapper;
@@ -87,6 +88,20 @@ public MLModelProperties apply(
               .collect(Collectors.toList()));
     }
     result.setTags(mlModelProperties.getTags());
+    final MLModelLineageInfo lineageInfo = new MLModelLineageInfo();
+    if (mlModelProperties.hasTrainingJobs()) {
+      lineageInfo.setTrainingJobs(
+          mlModelProperties.getTrainingJobs().stream()
+              .map(urn -> urn.toString())
+              .collect(Collectors.toList()));
+    }
+    if (mlModelProperties.hasDownstreamJobs()) {
+      lineageInfo.setDownstreamJobs(
+          mlModelProperties.getDownstreamJobs().stream()
+              .map(urn -> urn.toString())
+              .collect(Collectors.toList()));
+    }
+    result.setMlModelLineageInfo(lineageInfo);
 
     return result;
   }

datahub-graphql-core/src/main/resources/lineage.graphql

@@ -25,3 +25,32 @@ input LineageEdge {
     """
     upstreamUrn: String!
 }
+
+"""
+Represents lineage information for ML entities.
+"""
+type MLModelLineageInfo {
+   """
+   List of jobs or processes used to train the model.
+   """
+   trainingJobs: [String!]
+
+   """
+   List of jobs or processes that use this model.
+   """
+   downstreamJobs: [String!]
+}
+
+extend type MLModelProperties {
+    """
+    Information related to lineage to this model group
+    """
+    mlModelLineageInfo: MLModelLineageInfo
+}
+
+extend type MLModelGroupProperties {
+    """
+    Information related to lineage to this model group
+    """
+    mlModelLineageInfo: MLModelLineageInfo
+}

datahub-graphql-core/src/test/java/com/linkedin/datahub/graphql/types/mlmodel/mappers/MLModelGroupPropertiesMapperTest.java

@@ -0,0 +1,68 @@
+package com.linkedin.datahub.graphql.types.mlmodel.mappers;
+
+import static org.testng.Assert.assertEquals;
+import static org.testng.Assert.assertNotNull;
+import static org.testng.Assert.assertNull;
+
+import com.linkedin.common.urn.Urn;
+import com.linkedin.ml.metadata.MLModelGroupProperties;
+import java.net.URISyntaxException;
+import org.testng.annotations.Test;
+
+public class MLModelGroupPropertiesMapperTest {
+
+  @Test
+  public void testMapMLModelGroupProperties() throws URISyntaxException {
+    // Create backend ML Model Group Properties
+    MLModelGroupProperties input = new MLModelGroupProperties();
+
+    // Set description
+    input.setDescription("a ml trust model group");
+
+    // Set Name
+    input.setName("ML trust model group");
+
+    // Create URN
+    Urn groupUrn =
+        Urn.createFromString(
+            "urn:li:mlModelGroup:(urn:li:dataPlatform:sagemaker,another-group,PROD)");
+
+    // Map the properties
+    com.linkedin.datahub.graphql.generated.MLModelGroupProperties result =
+        MLModelGroupPropertiesMapper.map(null, input, groupUrn);
+
+    // Verify mapped properties
+    assertNotNull(result);
+    assertEquals(result.getDescription(), "a ml trust model group");
+    assertEquals(result.getName(), "ML trust model group");
+
+    // Verify lineage info is null as in the mock data
+    assertNotNull(result.getMlModelLineageInfo());
+    assertNull(result.getMlModelLineageInfo().getTrainingJobs());
+    assertNull(result.getMlModelLineageInfo().getDownstreamJobs());
+  }
+
+  @Test
+  public void testMapWithMinimalProperties() throws URISyntaxException {
+    // Create backend ML Model Group Properties with minimal information
+    MLModelGroupProperties input = new MLModelGroupProperties();
+
+    // Create URN
+    Urn groupUrn =
+        Urn.createFromString(
+            "urn:li:mlModelGroup:(urn:li:dataPlatform:sagemaker,another-group,PROD)");
+
+    // Map the properties
+    com.linkedin.datahub.graphql.generated.MLModelGroupProperties result =
+        MLModelGroupPropertiesMapper.map(null, input, groupUrn);
+
+    // Verify basic mapping with minimal properties
+    assertNotNull(result);
+    assertNull(result.getDescription());
+
+    // Verify lineage info is null
+    assertNotNull(result.getMlModelLineageInfo());
+    assertNull(result.getMlModelLineageInfo().getTrainingJobs());
+    assertNull(result.getMlModelLineageInfo().getDownstreamJobs());
+  }
+}