[GOBBLIN-1835]Upgrade Iceberg Version from 0.11.1 to 1.2.0#3697
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ZihanLi58 merged 5 commits intoapache:masterfrom Jun 14, 2023
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[GOBBLIN-1835]Upgrade Iceberg Version from 0.11.1 to 1.2.0#3697ZihanLi58 merged 5 commits intoapache:masterfrom
ZihanLi58 merged 5 commits intoapache:masterfrom
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ZihanLi58
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May 22, 2023
gobblin-iceberg/src/main/java/org/apache/gobblin/iceberg/Utils/IcebergUtils.java
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## master #3697 +/- ##
============================================
- Coverage 46.89% 46.86% -0.04%
Complexity 10772 10772
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Files 2138 2138
Lines 84139 84140 +1
Branches 9357 9357
============================================
- Hits 39456 39428 -28
- Misses 41078 41108 +30
+ Partials 3605 3604 -1 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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jack-moseley
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jack-moseley
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phet
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generally looks good, but one Q on the test you changed...
gobblin-iceberg/src/test/java/org/apache/gobblin/iceberg/writer/IcebergMetadataWriterTest.java
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rdsr
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Jun 13, 2023
gobblin-iceberg/src/test/java/org/apache/gobblin/iceberg/writer/HiveMetadataWriterTest.java
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* upstream/master: Fix bug with total count watermark whitelist (apache#3724) [GOBBLIN-1858] Fix logs relating to multi-active lease arbiter (apache#3720) [GOBBLIN-1838] Introduce total count based completion watermark (apache#3701) Correct num of failures (apache#3722) [GOBBLIN- 1856] Add flow trigger handler leasing metrics (apache#3717) [GOBBLIN-1857] Add override flag to force generate a job execution id based on gobbl… (apache#3719) [GOBBLIN-1855] Metadata writer tests do not work in isolation after upgrading to Iceberg 1.2.0 (apache#3718) Remove unused ORC writer code (apache#3710) [GOBBLIN-1853] Reduce # of Hive calls during schema related updates (apache#3716) [GOBBLIN-1851] Unit tests for MysqlMultiActiveLeaseArbiter with Single Participant (apache#3715) [GOBBLIN-1848] Add tags to dagmanager metrics for extensibility (apache#3712) [GOBBLIN-1849] Add Flow Group & Name to Job Config for Job Scheduler (apache#3713) [GOBBLIN-1841] Move disabling of current live instances to the GobblinClusterManager startup (apache#3708) [GOBBLIN-1840] Helix Job scheduler should not try to replace running workflow if within configured time (apache#3704) [GOBBLIN-1847] Exceptions in the JobLauncher should try to delete the existing workflow if it is launched (apache#3711) [GOBBLIN-1842] Add timers to GobblinMCEWriter (apache#3703) [GOBBLIN-1844] Ignore workflows marked for deletion when calculating container count (apache#3709) [GOBBLIN-1846] Validate Multi-active Scheduler with Logs (apache#3707) [GOBBLIN-1845] Changes parallelstream to stream in DatasetsFinderFilteringDecorator to avoid classloader issues in spark (apache#3706) [GOBBLIN-1843] Utility for detecting non optional unions should convert dataset urn to hive compatible format (apache#3705) [GOBBLIN-1837] Implement multi-active, non blocking for leader host (apache#3700) [GOBBLIN-1835]Upgrade Iceberg Version from 0.11.1 to 1.2.0 (apache#3697) Update CHANGELOG to reflect changes in 0.17.0 Reserving 0.18.0 version for next release [GOBBLIN-1836] Ensuring Task Reliability: Handling Job Cancellation and Graceful Exits for Error-Free Completion (apache#3699) [GOBBLIN-1805] Check watermark for the most recent hour for quiet topics (apache#3698) [GOBBLIN-1825]Hive retention job should fail if deleting underlying files fail (apache#3687) [GOBBLIN-1823] Improving Container Calculation and Allocation Methodology (apache#3692) [GOBBLIN-1830] Improving Container Transition Tracking in Streaming Data Ingestion (apache#3693) [GOBBLIN-1833]Emit Completeness watermark information in snapshotCommitEvent (apache#3696)
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Dear Gobblin maintainers,
Please accept this PR. I understand that it will not be reviewed until I have checked off all the steps below!
JIRA
Description
I want to upgrade our iceberg version to 1.2.0 to leverage performance improvements such as optimized metadata caching, reduced memory consumption, and faster metadata commits, enhanced APIs, schema evolution. Most importantly it natively provides support for Apache Spark 3.x, allowing seamless integration and improved performance when using Iceberg with Spark. As part of this upgrade, below are the major changes:
CatalogUtil.loadCatalog()andSnapshots.allManifestsHiveCatalogviaCatalogUtilinsideIcebergMetadataWriterTests
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