Spark: Add support for write-audit-publish workflows.#342
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rdblue merged 1 commit intoapache:masterfrom Aug 1, 2019
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Spark: Add support for write-audit-publish workflows.#342rdblue merged 1 commit intoapache:masterfrom
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* Add argument validation to HadoopTables#create (#298) * Install source JAR when running install target (#310) * Add projectStrict for Dates and Timestamps (#283) * Correctly publish artifacts on JitPack (#321) The Gradle install target produces invalid POM files that are missing the dependencyManagement section and versions for some dependencies. Instead, we directly tell JitPack to run the correct Gradle target. * Add build info to README.md (#304) * Convert Iceberg time type to Hive string type (#325) * Add overwrite option to write builders (#318) * Fix out of order Pig partition fields (#326) * Add mapping to Iceberg for external name-based schemas (#338) * Site: Fix broken link to Iceberg API (#333) * Add forTable method for Avro WriteBuilder (#322) * Remove multiple literal strings check rule for scala (#335) * Fix invalid javadoc url in README.md (#336) * Use UnicodeUtil.truncateString for Truncate transform. (#340) This truncates by unicode codepoint instead of Java chars. * Refactor metrics tests for reuse (#331) * Spark: Add support for write-audit-publish workflows (#342) * Avoid write failures if metrics mode is invalid (#301) * Fix truncateStringMax in UnicodeUtil (#334) Fixes #328, fixes #329. Index to codePointAt should be the offset calculated by code points * [Vectorization] Added batch sizing, switched to BufferAllocator, other minor style fixes.
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This adds support for write-audit-publish (WAP) workflows. When a WAP write is committed, the new table snapshot is added to table metadata but not made the current table snapshot. Instead, an external audit process runs to validate the new data and publishes the new snapshot (updates the table's current snapshot) only when audits pass.
This adds a table property,
write.wap.enabled, that must be true for a commit to be staged. Similarly, a Spark configuration property,spark.wap.id, must be set in a job for that job's changes to be staged. The job's WAP ID is added to the commit summary so that audit processes can find the changes to audit.