Bump io.delta:delta-standalone_2.12 from 3.0.0rc1 to 3.0.0

[dependabot]

Bumps io.delta:delta-standalone_2.12 from 3.0.0rc1 to 3.0.0.

Release notes

Sourced from io.delta:delta-standalone_2.12's releases.

Delta Lake 3.0.0

We are excited to announce the final release of Delta Lake 3.0.0. This release includes several exciting new features and artifacts.

Highlights

Here are the most important aspects of 3.0.0:

Spark 3.5 Support

Unlike the initial preview release, Delta Spark is now built on top of Apache Spark™ 3.5. See the Delta Spark section below for more details.

Delta Universal Format (UniForm)

• Documentation: https://docs.delta.io/3.0.0/delta-uniform.html
• Maven artifacts: delta-iceberg_2.12, delta-iceberg_2.13

Delta Universal Format (UniForm) will allow you to read Delta tables with Hudi and Iceberg clients. Iceberg support is available with this release. UniForm takes advantage of the fact that all table storage formats, such as Delta, Iceberg, and Hudi, actually consist of Parquet data files and a metadata layer. In this release, UniForm automatically generates Iceberg metadata and commits to Hive metastore, allowing Iceberg clients to read Delta tables as if they were Iceberg tables. Create a UniForm-enabled table using the following command:

CREATE TABLE T (c1 INT) USING DELTA TBLPROPERTIES (
  'delta.universalFormat.enabledFormats' = 'iceberg');

Every write to this table will automatically keep Iceberg metadata updated. See the documentation here for more details, and the key implementations here and here.

Delta Kernel

• API documentation: https://docs.delta.io/3.0.0/api/java/kernel/index.html
• Maven artifacts: delta-kernel-api, delta-kernel-defaults

The Delta Kernel project is a set of Java libraries (Rust will be coming soon!) for building Delta connectors that can read (and, soon, write to) Delta tables without the need to understand the Delta protocol details).

You can use this library to do the following:

• Read data from Delta tables in a single thread in a single process.
• Read data from Delta tables using multiple threads in a single process.
• Build a complex connector for a distributed processing engine and read very large Delta tables.
• [soon!] Write to Delta tables from multiple threads / processes / distributed engines.

Reading a Delta table with Kernel APIs is as follows.

TableClient myTableClient = DefaultTableClient.create() ;          // define a client
Table myTable = Table.forPath(myTableClient, "/delta/table/path"); // define what table to scan
Snapshot mySnapshot = myTable.getLatestSnapshot(myTableClient);    // define which version of table to scan
Predicate scanFilter = ...                                         // define the predicate
Scan myScan = mySnapshot.getScanBuilder(myTableClient)             // specify the scan details
        .withFilters(scanFilter)
        .build();
Scan.readData(...)                                                 // returns the table data 

Full example code can be found here.

For more information, refer to:

... (truncated)

Commits

• 6937c9d Setting version to 3.0.0
• 521b710 [3.0][Kernel] Branch 3.0 post-rc2 cherry picks (#2189)
• 6491fd1 Branch 3.0 post-rc2 cherry picks (#2180)
• c8e2704 [Spark] [FOLLOWUP-2166] Fix the hardcoded iceberg version in build.sbt (#2186)
• 64741bc [Spark] Add UniForm example (#2182)
• dabad0e [branch-3.0] Fix mima logic for delta-spark (#2178)
• ad2f756 [Spark][3.0] Fix a data loss bug in MergeIntoCommand (#2156)
• 9d87830 [branch-3.0] Minor fixes to examples and integration test script (#2176)
• 15ff1e6 [Delta-Iceberg] Fix delta iceberg clone script (#2171)
• 6d24fda [Spark] Fix the hardcoded iceberg version in build.sbt (#2166)
• Additional commits viewable in compare view

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