Problem
Currently, the delta input source only supports reading from the latest snapshot of the given Delta Lake table. This is a known documented limitation.
Description
Add support for reading Delta snapshot. By default, the Druid-Delta connector reads the latest snapshot of the Delta table in order to preserve compatibility. Users can specify a snapshotVersion to ingest change data events from Delta tables into Druid.
In the future, we can also add support for time-based snapshot reads. The Delta API to read time-based snapshots is not clear currently.
* Delta Lake support for filters.
* Updates
* cleanup comments
* Docs
* Remmove Enclosed runner
* Rename
* Cleanup test
* Serde test for the Delta input source and fix jackson annotation.
* Updates and docs.
* Update error messages to be clearer
* Fixes
* Handle NumberFormatException to provide a nicer error message.
* Apply suggestions from code review
Co-authored-by: 317brian <53799971+317brian@users.noreply.github.com>
* Doc fixes based on feedback
* Yes -> yes in docs; reword slightly.
* Update docs/ingestion/input-sources.md
Co-authored-by: Laksh Singla <lakshsingla@gmail.com>
* Update docs/ingestion/input-sources.md
Co-authored-by: Laksh Singla <lakshsingla@gmail.com>
* Documentation, javadoc and more updates.
* Not with an or expression end-to-end test.
* Break up =, >, >=, <, <= into its own types instead of sub-classing.
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Co-authored-by: 317brian <53799971+317brian@users.noreply.github.com>
Co-authored-by: Laksh Singla <lakshsingla@gmail.com>
* something
* test commit
* compilation fix
* more compilation fixes (fixme placeholders)
* Comment out druid-kereberos build since it conflicts with newly added transitive deps from delta-lake
Will need to sort out the dependencies later.
* checkpoint
* remove snapshot schema since we can get schema from the row
* iterator bug fix
* json json json
* sampler flow
* empty impls for read(InputStats) and sample()
* conversion?
* conversion, without timestamp
* Web console changes to show Delta Lake
* Asset bug fix and tile load
* Add missing pieces to input source info, etc.
* fix stuff
* Use a different delta lake asset
* Delta lake extension dependencies
* Cleanup
* Add InputSource, module init and helper code to process delta files.
* Test init
* Checkpoint changes
* Test resources and updates
* some fixes
* move to the correct package
* More tests
* Test cleanup
* TODOs
* Test updates
* requirements and javadocs
* Adjust dependencies
* Update readme
* Bump up version
* fixup typo in deps
* forbidden api and checkstyle checks
* Trim down dependencies
* new lines
* Fixup Intellij inspections.
* Add equals() and hashCode()
* chain splits, intellij inspections
* review comments and todo placeholder
* fix up some docs
* null table path and test dependencies. Fixup broken link.
* run prettify
* Different test; fixes
* Upgrade pyspark and delta-spark to latest (3.5.0 and 3.0.0) and regenerate tests
* yank the old test resource.
* add a couple of sad path tests
* Updates to readme based on latest.
* Version support
* Extract Delta DateTime converstions to DeltaTimeUtils class and add test
* More comprehensive split tests.
* Some test renames.
* Cleanup and update instructions.
* add pruneSchema() optimization for table scans.
* Oops, missed the parquet files.
* Update default table and rename schema constants.
* Test setup and misc changes.
* Add class loader logic as the context class loader is unaware about extension classes
* change some table client creation logic.
* Add hadoop-aws, hadoop-common and related exclusions.
* Remove org.apache.hadoop:hadoop-common
* Apply suggestions from code review
Co-authored-by: Victoria Lim <vtlim@users.noreply.github.com>
* Add entry to .spelling to fix docs static check
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Co-authored-by: abhishekagarwal87 <1477457+abhishekagarwal87@users.noreply.github.com>
Co-authored-by: Laksh Singla <lakshsingla@gmail.com>
Co-authored-by: Victoria Lim <vtlim@users.noreply.github.com>
This patch introduces a param snapshotTime in the iceberg inputsource spec that allows the user to ingest data files associated with the most recent snapshot as of the given time. This helps the user ingest data based on older snapshots by specifying the associated snapshot time.
This patch also upgrades the iceberg core version to 1.4.1
* Add system fields to input sources.
Main changes:
1) The SystemField enum defines system fields "__file_uri", "__file_path",
and "__file_bucket". They are associated with each input entity.
2) The SystemFieldInputSource interface can be added to any InputSource
to make it system-field-capable. It sets up serialization of a list
of configured "systemFields" in the JSON form of the input source, and
provides a method getSystemFieldValue for computing the value of each
system field. Cloud object, HDFS, HTTP, and Local now have this.
* Fix various LocalInputSource calls.
* Fix style stuff.
* Fixups.
* Fix tests and coverage.
This adds a new contrib extension: druid-iceberg-extensions which can be used to ingest data stored in Apache Iceberg format. It adds a new input source of type iceberg that connects to a catalog and retrieves the data files associated with an iceberg table and provides these data file paths to either an S3 or HDFS input source depending on the warehouse location.
Two important dependencies associated with Apache Iceberg tables are:
Catalog : This extension supports reading from either a Hive Metastore catalog or a Local file-based catalog. Support for AWS Glue is not available yet.
Warehouse : This extension supports reading data files from either HDFS or S3. Adapters for other cloud object locations should be easy to add by extending the AbstractInputSourceAdapter.
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
Co-authored-by: Victoria Lim <vtlim@users.noreply.github.com>
Co-authored-by: Victoria Lim <lim.t.victoria@gmail.com>
Atul Mohan
Victoria Lim
Abhishek Radhakrishnan
Jill Osborne
Andreas Maechler
George Shiqi Wu
Aru Raghuwanshi
Benjamin Hopp
Gian Merlino
317brian
Katya Macedo