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apache / gobblin / d3943d46eab22bb887ddd2dc30e4d688e43d270e
commitd3943d46eab22bb887ddd2dc30e4d688e43d270e[log] [tgz]
authorChristopher Harris <cbrentharris@gmail.com>Mon Jul 11 16:48:43 2022 -0500
committerGitHub <noreply@github.com>Mon Jul 11 14:48:43 2022 -0700
tree067842ed4343094758b62f785a40fe2a9f2f6ccd
parent7aad1f9ade24ad05ab797e150b6c03a03d925c04 [diff]
[GOBBLIN-1667] Create new predicate - ExistingPartitionSkipPredicate (#3526)

Currently the hive.dataset.existing.entity.policy.ABORT will not
abort if there is an existing partition. One option to resolve this
is to support the ABORT configuration but that might be backwards
incompatible, so introducing a new skip predicate called
ExistingPartitionSkipPredicate that will skip any partition that
already exists in the target table
3 files changed
tree: 067842ed4343094758b62f785a40fe2a9f2f6ccd
  1. .github/
  2. bin/
  3. buildSrc/
  4. conf/
  5. config/
  6. dev/
  7. gobblin-admin/
  8. gobblin-all/
  9. gobblin-api/
  10. gobblin-audit/
  11. gobblin-aws/
  12. gobblin-binary-management/
  13. gobblin-cluster/
  14. gobblin-compaction/
  15. gobblin-completeness/
  16. gobblin-config-management/
  17. gobblin-core/
  18. gobblin-core-base/
  19. gobblin-data-management/
  20. gobblin-distribution/
  21. gobblin-docker/
  22. gobblin-docs/
  23. gobblin-example/
  24. gobblin-hive-registration/
  25. gobblin-iceberg/
  26. gobblin-kubernetes/
  27. gobblin-metastore/
  28. gobblin-metrics-libs/
  29. gobblin-modules/
  30. gobblin-oozie/
  31. gobblin-rest-service/
  32. gobblin-restli/
  33. gobblin-runtime/
  34. gobblin-runtime-hadoop/
  35. gobblin-salesforce/
  36. gobblin-service/
  37. gobblin-test/
  38. gobblin-test-harness/
  39. gobblin-test-utils/
  40. gobblin-tunnel/
  41. gobblin-utility/
  42. gobblin-yarn/
  43. gradle/
  44. ligradle/
  45. maven-nexus/
  46. maven-sonatype/
  47. .asf.yaml
  48. .codecov_bash
  49. .dockerignore
  50. .gitignore
  51. build.gradle
  52. CHANGELOG.md
  53. defaultEnvironment.gradle
  54. gobblin-flavored-build.gradle
  55. gradle.properties
  56. gradlew
  57. gradlew.bat
  58. HEADER
  59. LICENSE
  60. mkdocs.yml
  61. NOTICE
  62. query_github_issues.py
  63. README.md
  64. readthedocs.yml
  65. settings.gradle
README.md

Apache Gobblin

Build Status Documentation Status Maven Central Stack Overflow Join us on Slack codecov.io

Apache Gobblin is a highly scalable data management solution for structured and byte-oriented data in heterogeneous data ecosystems.

Capabilities

  • Ingestion and export of data from a variety of sources and sinks into and out of the data lake. Gobblin is optimized and designed for ELT patterns with inline transformations on ingest (small t).
  • Data Organization within the lake (e.g. compaction, partitioning, deduplication)
  • Lifecycle Management of data within the lake (e.g. data retention)
  • Compliance Management of data across the ecosystem (e.g. fine-grain data deletions)

Highlights

  • Battle tested at scale: Runs in production at petabyte-scale at companies like LinkedIn, PayPal, Verizon etc.
  • Feature rich: Supports task partitioning, state management for incremental processing, atomic data publishing, data quality checking, job scheduling, fault tolerance etc.
  • Supports stream and batch execution modes
  • Control Plane (Gobblin-as-a-service) supports programmatic triggering and orchestration of data plane operations.

Common Patterns used in production

  • Stream / Batch ingestion of Kafka to Data Lake (HDFS, S3, ADLS)
  • Bulk-loading serving stores from the Data Lake (e.g. HDFS -> Couchbase)
  • Support for data sync across Federated Data Lake (HDFS <-> HDFS, HDFS <-> S3, S3 <-> ADLS)
  • Integrate external vendor API-s (e.g. Salesforce, Dynamics etc.) with data store (HDFS, Couchbase etc)
  • Enforcing Data retention policies and GDPR deletion on HDFS / ADLS

Apache Gobblin is NOT

  • A general purpose data transformation engine like Spark or Flink. Gobblin can delegate complex-data processing tasks to Spark, Hive etc.
  • A data storage system like Apache Kafka or HDFS. Gobblin integrates with these systems as sources or sinks.
  • A general-purpose workflow execution system like Airflow, Azkaban, Dagster, Luigi.

Requirements

  • Java >= 1.8

If building the distribution with tests turned on:

  • Maven version 3.5.3

Instructions to run Apache RAT (Release Audit Tool)

  1. Extract the archive file to your local directory.
  2. Run ./gradlew rat. Report will be generated under build/rat/rat-report.html

Instructions to build the distribution

  1. Extract the archive file to your local directory.
  2. Skip tests and build the distribution: Run ./gradlew build -x findbugsMain -x test -x rat -x checkstyleMain The distribution will be created in build/gobblin-distribution/distributions directory. (or)
  3. Run tests and build the distribution (requires Maven): Run ./gradlew build The distribution will be created in build/gobblin-distribution/distributions directory.

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