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Posted to commits@spark.apache.org by GitBox <gi...@apache.org> on 2022/06/16 14:29:36 UTC
[GitHub] [spark-website] gatorsmile commented on a diff in pull request #396: Add 3.3.0 release note and news and update links
gatorsmile commented on code in PR #396:
URL: https://github.com/apache/spark-website/pull/396#discussion_r899149127
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releases/_posts/2022-06-16-spark-release-3-3-0.md:
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@@ -0,0 +1,477 @@
+---
+layout: post
+title: Spark Release 3.3.0
+categories: []
+tags: []
+status: publish
+type: post
+published: true
+meta:
+_edit_last: '4'
+_wpas_done_all: '1'
+---
+
+Apache Spark 3.3.0 is the fourth release of the 3.x line. With tremendous contribution from the open-source community, this release managed to resolve in excess of 1,600 Jira tickets.
+
+This release improve join query performance via Bloom filters, increases the Pandas API coverage with the support of popular Pandas features such as datetime.timedelta and merge_asof, simplifies the migration from traditional data warehouses by improving ANSI compliance and supporting dozens of new built-in functions, boosts development productivity with better error handling, autocompletion, performance, and profiling.
+
+To download Apache Spark 3.3.0, visit the [downloads](https://spark.apache.org/downloads.html) page. You can consult JIRA for the [detailed changes](https://s.apache.org/spark-3.3.0). We have curated a list of high level changes here, grouped by major modules.
+
+* This will become a table of contents (this text will be scraped).
+{:toc}
+
+
+### Highlight
+
+
+
+* Row-level Runtime Filtering ([SPARK-32268](https://issues.apache.org/jira/browse/SPARK-32268))
+* ANSI enhancements ([SPARK-38860](https://issues.apache.org/jira/browse/SPARK-38860))
+* Error Message Improvements ([SPARK-38781](https://issues.apache.org/jira/browse/SPARK-38781))
+* Support complex types for Parquet vectorized reader ([SPARK-34863](https://issues.apache.org/jira/browse/SPARK-34863))
+* Hidden File Metadata Support for Spark SQL ([SPARK-37273](https://issues.apache.org/jira/browse/SPARK-37273))
+* Provide a profiler for Python/Pandas UDFs ([SPARK-37443](https://issues.apache.org/jira/browse/SPARK-37443))
+* Introduce Trigger.AvailableNow for running streaming queries like Trigger.Once in multiple batches ([SPARK-36533](https://issues.apache.org/jira/browse/SPARK-36533))
+* More comprehensive DS V2 push down capabilities ([SPARK-38788](https://issues.apache.org/jira/browse/SPARK-38788))
+* Executor Rolling in Kubernetes environment ([SPARK-37810](https://issues.apache.org/jira/browse/SPARK-37810))
+* Support Customized Kubernetes Schedulers ( [SPARK-36057](https://issues.apache.org/jira/browse/SPARK-36057))
+* Migrating from log4j 1 to log4j 2 ([SPARK-37814](https://issues.apache.org/jira/browse/SPARK-37814))
+
+
+### Spark SQL and Core
+
+
+#### ANSI mode
+
+
+
+* New explicit cast syntax rules in ANSI mode ([SPARK-33354](https://issues.apache.org/jira/browse/SPARK-33354))
+* Elt() should return null if index is null under ANSI mode ([SPARK-38304](https://issues.apache.org/jira/browse/SPARK-38304))
+* Optionally return null result if element not exists in array/map ([SPARK-37750](https://issues.apache.org/jira/browse/SPARK-37750))
+* Allow casting between numeric type and timestamp type ([SPARK-37714](https://issues.apache.org/jira/browse/SPARK-37714))
+* Disable ANSI reserved keywords by default ([SPARK-37724](https://issues.apache.org/jira/browse/SPARK-37724))
+* Use store assignment rules for resolving function invocation ([SPARK-37438](https://issues.apache.org/jira/browse/SPARK-37438))
+* Add a config to allow casting between Datetime and Numeric ([SPARK-37179](https://issues.apache.org/jira/browse/SPARK-37179))
+* Add a config to optionally enforce ANSI reserved keywords ([SPARK-37133](https://issues.apache.org/jira/browse/SPARK-37133))
+* Disallow binary operations between Interval and String literal ([SPARK-36508](https://issues.apache.org/jira/browse/SPARK-36508))
+
+
+#### Feature Enhancements
+
+
+
+* Support ANSI SQL INTERVAL types ([SPARK-27790](https://issues.apache.org/jira/browse/SPARK-27790))
+* Error Message Improvements ([SPARK-38781](https://issues.apache.org/jira/browse/SPARK-38781))
+* Hidden File Metadata Support for Spark SQL ([SPARK-37273](https://issues.apache.org/jira/browse/SPARK-37273))
+* Support raw string literal ([SPARK-36371](https://issues.apache.org/jira/browse/SPARK-36371))
+* Helper class for batch Dataset.observe() ([SPARK-34806](https://issues.apache.org/jira/browse/SPARK-34806))
+* Support specify initial partition number for rebalance ([SPARK-38410](https://issues.apache.org/jira/browse/SPARK-38410))
+* Support cascade mode for `dropNamespace` API ([SPARK-37929](https://issues.apache.org/jira/browse/SPARK-37929))
+* Allow store assignment and implicit cast among datetime types ([SPARK-37707](https://issues.apache.org/jira/browse/SPARK-37707))
+* Collect, first and last should be deterministic aggregate functions ([SPARK-32940](https://issues.apache.org/jira/browse/SPARK-32940))
+* Add ExpressionBuilder for functions with complex overloads ([SPARK-37164](https://issues.apache.org/jira/browse/SPARK-37164))
+* Add array support to union by name ([SPARK-36546](https://issues.apache.org/jira/browse/SPARK-36546))
+* Add df.withMetadata: a syntax sugar to update the metadata of a dataframe ([SPARK-36642](https://issues.apache.org/jira/browse/SPARK-36642))
+* Support raw string literal ([SPARK-36371](https://issues.apache.org/jira/browse/SPARK-36371))
+* Use CAST in parsing of dates/timestamps with default pattern ([SPARK-36418](https://issues.apache.org/jira/browse/SPARK-36418))
+* Support value class in nested schema for Dataset ([SPARK-20384](https://issues.apache.org/jira/browse/SPARK-20384))
+* Add AS OF syntax support ([SPARK-37219](https://issues.apache.org/jira/browse/SPARK-37219))
+* Add REPEATABLE in TABLESAMPLE to specify seed ([SPARK-37165](https://issues.apache.org/jira/browse/SPARK-37165))
+* Add ansi syntax `set catalog xxx` to change the current catalog ([SPARK-36841](https://issues.apache.org/jira/browse/SPARK-36841))
+* Support ILIKE (ALL | ANY | SOME) - case insensitive LIKE ([SPARK-36674](https://issues.apache.org/jira/browse/SPARK-36674), [SPARK-36736](https://issues.apache.org/jira/browse/SPARK-36736), [SPARK-36778](https://issues.apache.org/jira/browse/SPARK-36778))
+* Support query stage show runtime statistics in formatted explain mode ([SPARK-38322](https://issues.apache.org/jira/browse/SPARK-38322))
+* Add spill size metrics for sort merge join ([SPARK-37726](https://issues.apache.org/jira/browse/SPARK-37726))
+* Update the SQL syntax of SHOW FUNCTIONS ([SPARK-37777](https://issues.apache.org/jira/browse/SPARK-37777))
+* Implement support for DEFAULT values for columns in tables ([SPARK-38334](https://issues.apache.org/jira/browse/SPARK-38334))
+* Storage Partitioned Join ([SPARK-37375](https://issues.apache.org/jira/browse/SPARK-37375))
+* Support DROP COLUMN [IF EXISTS] syntax ([SPARK-38939](https://issues.apache.org/jira/browse/SPARK-38939))
+* New built-in functions and their extensions ([SPARK-38783](https://issues.apache.org/jira/browse/SPARK-38783))
+ * Datetime
+ * Add the <span style="text-decoration:underline;">TIMESTAMPADD</span>() function ([SPARK-38195](https://issues.apache.org/jira/browse/SPARK-38195))
+ * Add the <span style="text-decoration:underline;">TIMESTAMPDIFF</span>() function ([SPARK-38284](https://issues.apache.org/jira/browse/SPARK-38284))
+ * Add the `<span style="text-decoration:underline;">DATEDIFF</span>()` alias for `TIMESTAMPDIFF()` ([SPARK-38389](https://issues.apache.org/jira/browse/SPARK-38389))
+ * Add the `<span style="text-decoration:underline;">DATEADD</span>()` alias for `TIMESTAMPADD()` ([SPARK-38332](https://issues.apache.org/jira/browse/SPARK-38332))
+ * Add the `<span style="text-decoration:underline;">convert_timezone</span>()` function ([SPARK-37552](https://issues.apache.org/jira/browse/SPARK-37552), [SPARK-37568](https://issues.apache.org/jira/browse/SPARK-37568))
+ * Expose <span style="text-decoration:underline;">make_date</span> expression in functions.scala ([SPARK-36554](https://issues.apache.org/jira/browse/SPARK-36554))
+ * AES functions ([SPARK-12567](https://issues.apache.org/jira/browse/SPARK-12567))
+ * Add <span style="text-decoration:underline;">aes_encrypt</span> and <span style="text-decoration:underline;">aes_decrypt</span> builtin functions ([SPARK-12567](https://issues.apache.org/jira/browse/SPARK-12567)) \
+Support the GCM mode by `<span style="text-decoration:underline;">aes_encrypt</span>()`/`<span style="text-decoration:underline;">aes_decrypt</span>()` ([SPARK-37591](https://issues.apache.org/jira/browse/SPARK-37591))
+ * Set `GCM` as the default mode in `<span style="text-decoration:underline;">aes_encrypt</span>()`/`<span style="text-decoration:underline;">aes_decrypt</span>()` ([SPARK-37666](https://issues.apache.org/jira/browse/SPARK-37666))
+ * Add the `mode` and `padding` args to `<span style="text-decoration:underline;">aes_encrypt</span>()`/`<span style="text-decoration:underline;">aes_decrypt</span>()` ([SPARK-37586](https://issues.apache.org/jira/browse/SPARK-37586))
+ * ANSI Aggregation Function ([SPARK-37671](https://issues.apache.org/jira/browse/SPARK-37671))
+ * Support ANSI Aggregate Function: <span style="text-decoration:underline;">regr_count</span> ([SPARK-37613](https://issues.apache.org/jira/browse/SPARK-37613))
+ * Support ANSI Aggregate Function: <span style="text-decoration:underline;">regr_avgx</span> & <span style="text-decoration:underline;">regr_avgy</span> ([SPARK-37614](https://issues.apache.org/jira/browse/SPARK-37614))
+ * Support ANSI Aggregate Function: <span style="text-decoration:underline;">regr_count</span> ([SPARK-37613](https://issues.apache.org/jira/browse/SPARK-37613))
+ * Support ANSI Aggregate Function: regr_r2 ([SPARK-37641](https://issues.apache.org/jira/browse/SPARK-37641))
+ * Support ANSI Aggregate Function: <span style="text-decoration:underline;">array_agg</span> ([SPARK-27974](https://issues.apache.org/jira/browse/SPARK-27974))
+ * Support ANSI Aggregation Function: <span style="text-decoration:underline;">percentile_cont</span> ([SPARK-37676](https://issues.apache.org/jira/browse/SPARK-37676), [SPARK-38219](https://issues.apache.org/jira/browse/SPARK-38219))
+ * Support ANSI Aggregation Function: <span style="text-decoration:underline;">percentile_disc</span> ([SPARK-37691](https://issues.apache.org/jira/browse/SPARK-37691))
+ * New SQL function: try_avg ([SPARK-38589](https://issues.apache.org/jira/browse/SPARK-38589))
+ * Collections
+ * Introduce SQL function <span style="text-decoration:underline;">ARRAY_SIZE</span> ([SPARK-38345](https://issues.apache.org/jira/browse/SPARK-38345))
+ * New SQL function: <span style="text-decoration:underline;">map_contains_key</span> ([SPARK-37584](https://issues.apache.org/jira/browse/SPARK-37584))
+ * New SQL function: <span style="text-decoration:underline;">try_element_at</span> ([SPARK-37533](https://issues.apache.org/jira/browse/SPARK-37533))
+ * New SQL function: <span style="text-decoration:underline;">try_sum</span> ([SPARK-38548](https://issues.apache.org/jira/browse/SPARK-38548))
+ * Format
+ * Add a new SQL function <span style="text-decoration:underline;">to_binary</span> ([SPARK-37507](https://issues.apache.org/jira/browse/SPARK-37507), [SPARK-38796](https://issues.apache.org/jira/browse/SPARK-38796))
+ * New SQL function: <span style="text-decoration:underline;">try_to_binary</span> ([SPARK-38590](https://issues.apache.org/jira/browse/SPARK-38590), [SPARK-38796](https://issues.apache.org/jira/browse/SPARK-38796))
+ * Data Type Formatting Functions: `<span style="text-decoration:underline;">to_number</span>` ([SPARK-28137](https://issues.apache.org/jira/browse/SPARK-28137))
+ * String/Binary
+ * Add <span style="text-decoration:underline;">CONTAINS</span>() string function ([SPARK-37508](https://issues.apache.org/jira/browse/SPARK-37508))
+ * Add the `<span style="text-decoration:underline;">startswith</span>()` and `<span style="text-decoration:underline;">endswith</span>()` string functions ([SPARK-37520](https://issues.apache.org/jira/browse/SPARK-37520))
+ * Add lpad and rpad functions for binary strings ([SPARK-37047](https://issues.apache.org/jira/browse/SPARK-37047))
+ * Support split_part Function ([SPARK-38063](https://issues.apache.org/jira/browse/SPARK-38063))
+ * Add scale parameter to <span style="text-decoration:underline;">floor</span> and <span style="text-decoration:underline;">ceil</span> functions ([SPARK-37475](https://issues.apache.org/jira/browse/SPARK-37475))
+ * New SQL functions: <span style="text-decoration:underline;">try_subtract</span> and <span style="text-decoration:underline;">try_multiply</span> ([SPARK-38164](https://issues.apache.org/jira/browse/SPARK-38164))
+ * Implements <span style="text-decoration:underline;">histogram_numeric</span> aggregation function which supports partial aggregation ([SPARK-16280](https://issues.apache.org/jira/browse/SPARK-16280))
+ * Add max_by/min_by to sql.functions ([SPARK-36963](https://issues.apache.org/jira/browse/SPARK-36963))
+ * Add new built-in SQL functions: SEC and CSC ([SPARK-36683](https://issues.apache.org/jira/browse/SPARK-36683))
+ * array_intersect handles duplicated Double.NaN and Float.NaN ([SPARK-36754](https://issues.apache.org/jira/browse/SPARK-36754))
+ * Add cot as Scala and Python functions ([SPARK-36660](https://issues.apache.org/jira/browse/SPARK-36660))
+
+
+#### Performance enhancements
+
+
+
+* Whole-stage code generation
+ * Add code-gen for sort aggregate without grouping keys ([SPARK-37564](https://issues.apache.org/jira/browse/SPARK-37564))
+ * Add code-gen for full outer sort merge join ([SPARK-35352](https://issues.apache.org/jira/browse/SPARK-35352))
+ * Add code-gen for full outer shuffled hash join ([SPARK-32567](https://issues.apache.org/jira/browse/SPARK-32567))
+ * Add code-gen for existence sort merge join ([SPARK-37316](https://issues.apache.org/jira/browse/SPARK-37316))
+* Push down (filters)
+ * Push down filters through RebalancePartitions ([SPARK-37828](https://issues.apache.org/jira/browse/SPARK-37828))
+ * Push down boolean column filter ([SPARK-36644](https://issues.apache.org/jira/browse/SPARK-36644))
+ * Push down limit 1 for right side of left semi/anti join if join condition is empty ([SPARK-37917](https://issues.apache.org/jira/browse/SPARK-37917))
+ * Translate more standard aggregate functions for pushdown ([SPARK-37527](https://issues.apache.org/jira/browse/SPARK-37527))
+ * Support propagate empty relation through aggregate/union ([SPARK-35442](https://issues.apache.org/jira/browse/SPARK-35442))
+ * Row-level Runtime Filtering ([SPARK-32268](https://issues.apache.org/jira/browse/SPARK-32268))
+ * Support Left Semi join in row level runtime filters ([SPARK-38565](https://issues.apache.org/jira/browse/SPARK-38565))
+ * Support predicate pushdown and column pruning for de-duped CTEs ([SPARK-37670](https://issues.apache.org/jira/browse/SPARK-37670))
+* Vectorization
+ * Implement a ConstantColumnVector and improve performance of the hidden file metadata ([SPARK-37896](https://issues.apache.org/jira/browse/SPARK-37896))
+ * Enable vectorized read for VectorizedPlainValuesReader.readBooleans ([SPARK-35867](https://issues.apache.org/jira/browse/SPARK-35867))
+* Combine/remove/replace nodes
+ * Combine unions if there is a project between them ([SPARK-37915](https://issues.apache.org/jira/browse/SPARK-37915))
+ * Combine to one cast if we can safely up-cast two casts ([SPARK-37922](https://issues.apache.org/jira/browse/SPARK-37922))
+ * Remove the Sort if it is the child of RepartitionByExpression ([SPARK-36703](https://issues.apache.org/jira/browse/SPARK-36703))
+ * Removes outer join if it only has DISTINCT on streamed side with alias ([SPARK-37292](https://issues.apache.org/jira/browse/SPARK-37292))
+ * Replace hash with sort aggregate if child is already sorted ([SPARK-37455](https://issues.apache.org/jira/browse/SPARK-37455))
+ * Replace object hash with sort aggregate if child is already sorted ([SPARK-37557](https://issues.apache.org/jira/browse/SPARK-37557))
+ * Only collapse projects if we don't duplicate expensive expressions ([SPARK-36718](https://issues.apache.org/jira/browse/SPARK-36718))
+ * Remove redundant aliases after RewritePredicateSubquery ([SPARK-36280](https://issues.apache.org/jira/browse/SPARK-36280))
+ * Merge non-correlated scalar subqueries ([SPARK-34079](https://issues.apache.org/jira/browse/SPARK-34079))
+* Partitioning
+ * Do not add dynamic partition pruning if there exists static partition pruning ([SPARK-38148](https://issues.apache.org/jira/browse/SPARK-38148))
+ * Improve RebalancePartitions in rules of Optimizer ([SPARK-37904](https://issues.apache.org/jira/browse/SPARK-37904))
+ * Add small partition factor for rebalance partitions ([SPARK-37357](https://issues.apache.org/jira/browse/SPARK-37357))
+* Join
+ * Fine tune logic to demote Broadcast hash join in DynamicJoinSelection ([SPARK-37753](https://issues.apache.org/jira/browse/SPARK-37753))
+ * Ignore duplicated join keys when building relation for SEMI/ANTI shuffled hash join ([SPARK-36794](https://issues.apache.org/jira/browse/SPARK-36794))
+ * Support optimize skewed join even if introduce extra shuffle ([SPARK-33832](https://issues.apache.org/jira/browse/SPARK-33832))
+* AQE
+ * Support eliminate limits in AQE Optimizer ([SPARK-36424](https://issues.apache.org/jira/browse/SPARK-36424))
+ * Optimize one row plan in normal and AQE Optimizer ([SPARK-38162](https://issues.apache.org/jira/browse/SPARK-38162))
+* Aggregate.groupOnly support foldable expressions ([SPARK-38489](https://issues.apache.org/jira/browse/SPARK-38489))
+* ByteArrayMethods arrayEquals should fast skip the check of aligning with unaligned platform ([SPARK-37796](https://issues.apache.org/jira/browse/SPARK-37796))
+* Add tree pattern pruning to CTESubstitution rule ([SPARK-37379](https://issues.apache.org/jira/browse/SPARK-37379))
+* Add more Not operator simplifications ([SPARK-36665](https://issues.apache.org/jira/browse/SPARK-36665))
+* Support BooleanType in UnwrapCastInBinaryComparison ([SPARK-36607](https://issues.apache.org/jira/browse/SPARK-36607))
+* Coalesce drop all expressions after the first non nullable expression ([SPARK-36359](https://issues.apache.org/jira/browse/SPARK-36359))
+* Add a logical plan visitor to propagate the distinct attributes ([SPARK-36194](https://issues.apache.org/jira/browse/SPARK-36194))
+
+
+#### Built-in Connector Enhancements
+
+
+
+* General
+ * Lenient serialization of datetime from datasource ([SPARK-38437](https://issues.apache.org/jira/browse/SPARK-38437))
+ * Treat table location as absolute when the first letter of its path is slash in create/alter table ([SPARK-38236](https://issues.apache.org/jira/browse/SPARK-38236))
+ * Remove leading zeros from empty static number type partition ([SPARK-35561](https://issues.apache.org/jira/browse/SPARK-35561))
+ * Support `ignoreCorruptFiles` and `ignoreMissingFiles` in Data Source options ([SPARK-38767](https://issues.apache.org/jira/browse/SPARK-38767))
+* Parquet
+ * Enable matching schema column names by field ids ([SPARK-38094](https://issues.apache.org/jira/browse/SPARK-38094))
+ * Remove check field name when reading/writing data in parquet ([SPARK-27442](https://issues.apache.org/jira/browse/SPARK-27442))
+ * Support vectorized read boolean values use RLE encoding with Parquet DataPage V2 ([SPARK-37864](https://issues.apache.org/jira/browse/SPARK-37864))
+ * Support Parquet V2 data page encoding (DELTA_BINARY_PACKED) for the vectorized path ([SPARK-36879](https://issues.apache.org/jira/browse/SPARK-36879))
+ * Rebase timestamps in the session time zone saved in Parquet/Avro metadata ([SPARK-37705](https://issues.apache.org/jira/browse/SPARK-37705))
+ * Push down group by partition column for aggregate ([SPARK-36646](https://issues.apache.org/jira/browse/SPARK-36646))
+ * Aggregate (Min/Max/Count) push down for Parquet ([SPARK-36645](https://issues.apache.org/jira/browse/SPARK-36645))
+ * Parquet: enable matching schema columns by field id ([SPARK-38094](https://issues.apache.org/jira/browse/SPARK-38094))
+ * Reduce default page size by LONG_ARRAY_OFFSET if G1GC and ON_HEAP are used ([SPARK-37593](https://issues.apache.org/jira/browse/SPARK-37593))
+ * Implement vectorized DELTA_BYTE_ARRAY and DELTA_LENGTH_BYTE_ARRAY encodings for Parquet V2 support ([SPARK-37974](https://issues.apache.org/jira/browse/SPARK-37974))
+ * Support complex types for Parquet vectorized reader ([SPARK-34863](https://issues.apache.org/jira/browse/SPARK-34863))
+* ORC
+ * Remove check field name when reading/writing existing data in ORC ([SPARK-37965](https://issues.apache.org/jira/browse/SPARK-37965))
+ * Aggregate push down for ORC ([SPARK-34960](https://issues.apache.org/jira/browse/SPARK-34960))
+ * Support reading and writing ANSI intervals from/to ORC data sources ([SPARK-36931](https://issues.apache.org/jira/browse/SPARK-36931))
+ * Support number-only column names in ORC data sources ([SPARK-36663](https://issues.apache.org/jira/browse/SPARK-36663))
+* JSON
+ * Respect allowNonNumericNumbers when parsing quoted NaN and Infinity values in JSON reader ([SPARK-38060](https://issues.apache.org/jira/browse/SPARK-38060))
+ * Use CAST for datetime in CSV/JSON by default ([SPARK-36536](https://issues.apache.org/jira/browse/SPARK-36536))
+ * Align error message for unsupported key types in MapType in Json reader ([SPARK-35320](https://issues.apache.org/jira/browse/SPARK-35320))
+ * Add a legacy configuration for respecting nullability in DataFrame.schema.csv/json(ds) ([SPARK-35912](https://issues.apache.org/jira/browse/SPARK-35912))
+* CSV
+ * Fix referring to the corrupt record column from CSV ([SPARK-38534](https://issues.apache.org/jira/browse/SPARK-38523))
+ * null values should be saved as nothing instead of quoted empty Strings "" by default ([SPARK-37575](https://issues.apache.org/jira/browse/SPARK-37575))
+ * Fasten Timestamp type inference of default format in JSON/CSV data source ([SPARK-39193](https://issues.apache.org/jira/browse/SPARK-39193))
+* JDBC
+ * Support cascade mode for JDBC V2 ([SPARK-37929](https://issues.apache.org/jira/browse/SPARK-37929))
+ * Add the IMMEDIATE statement to the DB2 dialect truncate implementation ([SPARK-30062](https://issues.apache.org/jira/browse/SPARK-30062))
+ * Support aggregate functions of build-in JDBC dialect ([SPARK-37867](https://issues.apache.org/jira/browse/SPARK-37867))
+ * Move compileAggregates from JDBCRDD to JdbcDialect ([SPARK-37286](https://issues.apache.org/jira/browse/SPARK-37286))
+ * Implement dropIndex and listIndexes in JDBC (MySQL dialect) ([SPARK-36914](https://issues.apache.org/jira/browse/SPARK-36914))
+ * Supports list namespaces in JDBC V2 MySQL dialect ([SPARK-38054](https://issues.apache.org/jira/browse/SPARK-38054))
+ * Add factory method getConnection into JDBCDialect ([SPARK-38361](https://issues.apache.org/jira/browse/SPARK-38361))
+ * Jdbc dialect should decide which function could be pushed down ([SPARK-39162](https://issues.apache.org/jira/browse/SPARK-39162))
+ * Propagate correct JDBC properties in JDBC connector provider and add "connectionProvider" option ([SPARK-36163](https://issues.apache.org/jira/browse/SPARK-36163))
+ * Refactor framework so as JDBC dialect could compile filter by self way ([SPARK-38432](https://issues.apache.org/jira/browse/SPARK-38432))
+ *
+* Hive
+ * Support writing Hive bucketed table (Parquet/ORC format with Hive hash) ([SPARK-32709](https://issues.apache.org/jira/browse/SPARK-32709))
+ * Support writing Hive bucketed table (Hive file formats with Hive hash) ([SPARK-32712](https://issues.apache.org/jira/browse/SPARK-32712))
+ * Use expressions to filter Hive partitions at client side ([SPARK-35437](https://issues.apache.org/jira/browse/SPARK-35437))
+ * Support Dynamic Partition pruning for HiveTableScanExec ([SPARK-36876](https://issues.apache.org/jira/browse/SPARK-36876))
+ * InsertIntoHiveDir should use data source if it's convertible ([SPARK-38215](https://issues.apache.org/jira/browse/SPARK-38215))
+
+
+#### Data Source V2 API
+
+
+
+* New interfaces
+ * Introduce a new DataSource V2 interface HasPartitionKey ([SPARK-37376](https://issues.apache.org/jira/browse/SPARK-37376))
+ * Add interface SupportsPushDownV2Filters ([SPARK-36760](https://issues.apache.org/jira/browse/SPARK-36760))
+ * Support DataSource V2 CreateTempViewUsing ([SPARK-35803](https://issues.apache.org/jira/browse/SPARK-35803))
+ * Add a class to represent general aggregate functions in DS V2 ([SPARK-37789](https://issues.apache.org/jira/browse/SPARK-37789))
+ * A new framework to represent catalyst expressions in DS V2 APIs ([SPARK-37960](https://issues.apache.org/jira/browse/SPARK-37960))
+ * Reactor framework so as JDBC dialect could compile expression by self way ([SPARK-38196](https://issues.apache.org/jira/browse/SPARK-38196))
+ * Refactor framework so as JDBC dialect could compile filter by self way ([SPARK-38432](https://issues.apache.org/jira/browse/SPARK-38432))
+ * DSV2 InputMetrics are not getting update in corner case ([SPARK-37585](https://issues.apache.org/jira/browse/SPARK-37585))
+ * Add APIs for group-based row-level operations ([SPARK-38625](https://issues.apache.org/jira/browse/SPARK-38625))
+* Migrate commands
+ * Migrate SHOW CREATE TABLE to use V2 command by default ([SPARK-37878](https://issues.apache.org/jira/browse/SPARK-37878))
+ * Migrate CREATE NAMESPACE to use V2 command by default ([SPARK-37636](https://issues.apache.org/jira/browse/SPARK-37636))
+ * Migrate DESCRIBE NAMESPACE to use V2 command by default ([SPARK-37150](https://issues.apache.org/jira/browse/SPARK-37150))
+* Indexing
+ * Support drop index for Data Source V2 ([SPARK-37200](https://issues.apache.org/jira/browse/SPARK-37200))
+ * Add Create Index syntax support ([SPARK-36895](https://issues.apache.org/jira/browse/SPARK-36895))
+ * Implement createIndex and IndexExists in DS V2 JDBC (MySQL dialect) ([SPARK-36913](https://issues.apache.org/jira/browse/SPARK-36913))
+ * DS V2 Index Support: Add supportsIndex interface ([SPARK-36526](https://issues.apache.org/jira/browse/SPARK-36526))
+* Push down ([SPARK-38788](https://issues.apache.org/jira/browse/SPARK-38788))
+ * Add DS V2 filters ([SPARK-36556](https://issues.apache.org/jira/browse/SPARK-36556))
+ * Push down boolean column filter for Data Source V2 ([SPARK-36644](https://issues.apache.org/jira/browse/SPARK-36644))
+ * Support push down top N to JDBC data source V2 ([SPARK-37483](https://issues.apache.org/jira/browse/SPARK-37483))
+ * DS V2 Sample Push Down ([SPARK-37038](https://issues.apache.org/jira/browse/SPARK-37038))
+ * DS V2 LIMIT push down ([SPARK-37020](https://issues.apache.org/jira/browse/SPARK-37020))
+ * DS V2 supports partial aggregate push-down `AVG` ([SPARK-37839](https://issues.apache.org/jira/browse/SPARK-37839))
+ * Support datasource V2 complete aggregate pushdown ([SPARK-37644](https://issues.apache.org/jira/browse/SPARK-37644))
+ * DS V2 supports partial aggregate push-down `AVG` ([SPARK-37839](https://issues.apache.org/jira/browse/SPARK-37839))
+ * If `Sum`, `Count`, `Any` accompany distinct, cannot do partial agg push down ([SPARK-38560](https://issues.apache.org/jira/browse/SPARK-38560))
+ * Translate more standard aggregate functions for pushdown ([SPARK-37527](https://issues.apache.org/jira/browse/SPARK-37527))
+ * DS V2 aggregate push-down supports project with alias ([SPARK-38533](https://issues.apache.org/jira/browse/SPARK-38533))
+ * DS V2 topN push-down supports project with alias ([SPARK-38644](https://issues.apache.org/jira/browse/SPARK-38644))
+ * DS V2 Top N push-down supports order by expressions ([SPARK-39037](https://issues.apache.org/jira/browse/SPARK-39037))
+ * Datasource V2 supports partial topN push-down ([SPARK-38391](https://issues.apache.org/jira/browse/SPARK-38391))
+ * Support push down Cast to JDBC data source V2 ([SPARK-38633](https://issues.apache.org/jira/browse/SPARK-38633))
+ * If limit could pushed down and Data source only have one partition, DS V2 should not do limit again ([SPARK-38768](https://issues.apache.org/jira/browse/SPARK-38768))
+ * Remove `Limit` from plan if complete push down limit to data source ([SPARK-38768](https://issues.apache.org/jira/browse/SPARK-38768))
+ * DS V2 supports push down misc non-aggregate functions ([SPARK-38761](https://issues.apache.org/jira/browse/SPARK-38761))
+ * DS V2 supports push down math functions ([SPARK-38855](https://issues.apache.org/jira/browse/SPARK-38855))
+ * DS V2 aggregate push-down supports group by expressions ([SPARK-38997](https://issues.apache.org/jira/browse/SPARK-38997))
+ * DS V2 aggregate partial push-down should supports group by without aggregate functions ([SPARK-39135](https://issues.apache.org/jira/browse/SPARK-39135))
+* Support nested columns in ORC vectorized reader for data source V2 ([SPARK-36404](https://issues.apache.org/jira/browse/SPARK-36404))
+* Update task metrics from ds V2 custom metrics ([SPARK-37578](https://issues.apache.org/jira/browse/SPARK-37578))
+* Unify V1 and V2 options output of `SHOW CREATE TABLE` command ([SPARK-37494](https://issues.apache.org/jira/browse/SPARK-37494))
+* Add command `SHOW CATALOGS` ([SPARK-35973](https://issues.apache.org/jira/browse/SPARK-35973))
+
+
+#### Kubernetes Enhancements
+
+
+
+* Executor Rolling in Kubernetes environment ([SPARK-37810](https://issues.apache.org/jira/browse/SPARK-37810))
+* Support Customized Kubernetes Schedulers ( [SPARK-36057](https://issues.apache.org/jira/browse/SPARK-36057))
+* executorIdleTimeout is not working for pending pods on K8s ([SPARK-37049](https://issues.apache.org/jira/browse/SPARK-37049))
+* Upgrade kubernetes-client to 5.12.2 ([SPARK-38817](https://issues.apache.org/jira/browse/SPARK-38817))
+* Make memory overhead factor configurable ([SPARK-38194](https://issues.apache.org/jira/browse/SPARK-38194))
+* Add Volcano build-in integration and PodGroup template support for Spark on Kubernetes (experimental). ([SPARK-36061,](https://issues.apache.org/jira/browse/SPARK-36061) [SPARK-38455](https://issues.apache.org/jira/browse/SPARK-38455))
+* Add KubernetesCustom[Driver/Executor]FeatureConfigStep developer API ([SPARK-37145](https://issues.apache.org/jira/browse/SPARK-37145))
+
+
+#### Node Decommission
+
+
+
+* FallbackStorage shouldn’t attempt to resolve arbitrary “remote” hostname ([SPARK-38062](https://issues.apache.org/jira/browse/SPARK-38062))
+* ExecutorMonitor.onExecutorRemoved should handle ExecutorDecommission as finished ([SPARK-38023](https://issues.apache.org/jira/browse/SPARK-38023))
+
+
+#### Push-based shuffle
+
+
+
+* Adaptive shuffle merge finalization for push-based shuffle ([SPARK-33701](https://issues.apache.org/jira/browse/SPARK-33701))
+* Adaptive fetch of shuffle mergers for Push based shuffle ([SPARK-34826](https://issues.apache.org/jira/browse/SPARK-34826))
+* Skip diagnosis ob merged blocks from push-based shuffle ([SPARK-37695](https://issues.apache.org/jira/browse/SPARK-37695))
+* PushBlockStreamCallback should check isTooLate first to avoid NPE ([SPARK-37847](https://issues.apache.org/jira/browse/SPARK-37847))
+* Push-based merge finalization bugs in the RemoteBlockPushResolver ([SPARK-37675](https://issues.apache.org/jira/browse/SPARK-37675))
+* Avoid fetching merge status when shuffleMergeEnabled is false for a shuffleDependency during retry ([SPARK-37023](https://issues.apache.org/jira/browse/SPARK-37023))
+
+
+#### Other Notable Changes
+
+
+
+* Add fine grained locking to BlockInfoManager ([SPARK-37356](https://issues.apache.org/jira/browse/SPARK-37356))
+* Support mapping Spark gpu/fpga resource types to custom YARN resource type ([SPARK-37208](https://issues.apache.org/jira/browse/SPARK-37208))
+* Report accurate shuffle block size if its skewed ([SPARK-36967](https://issues.apache.org/jira/browse/SPARK-36967))
+* Supporting Netty Logging at the network layer ([SPARK-36719](https://issues.apache.org/jira/browse/SPARK-36719))
+
+
+### Structured Streaming
+
+
+#### Major feature
+
+
+
+* Introduce Trigger.AvailableNow for running streaming queries like Trigger.Once in multiple batches ([SPARK-36533](https://issues.apache.org/jira/browse/SPARK-36533))
+
+
+#### Other Notable Changes
+
+
+
+* Use StatefulOpClusteredDistribution for stateful operators with respecting backward compatibility ([SPARK-38204](https://issues.apache.org/jira/browse/SPARK-38204))
+* Fix flatMapGroupsWithState timeout in batch with data for key ([SPARK-38320](https://issues.apache.org/jira/browse/SPARK-38320))
+* Fix correctness issue on stream-stream outer join with RocksDB state store provider ([SPARK-38684](https://issues.apache.org/jira/browse/SPARK-38684))
+* Upgrade Kafka to 3.1.0 ([SPARK-36837](https://issues.apache.org/jira/browse/SPARK-36837))
+* Support Trigger.AvailableNow on Kafka data source ([SPARK-36649](https://issues.apache.org/jira/browse/SPARK-36649))
+* Optimize write path on RocksDB state store provider ([SPARK-37224](https://issues.apache.org/jira/browse/SPARK-37224))
+* Introduce a new data source for providing consistent set of rows per microbatch ([SPARK-37062](https://issues.apache.org/jira/browse/SPARK-37062))
+* Use HashClusteredDistribution for stateful operators with respecting backward compatibility ([SPARK-38204](https://issues.apache.org/jira/browse/SPARK-38204))
+* Make foreachBatch streaming query stop gracefully ([SPARK-39218](https://issues.apache.org/jira/browse/SPARK-39218))
+
+
+### PySpark
Review Comment:
I think Hyukjin has reviewed the PySpark section.
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