Databricks Runtime 11.1 (EoS)

Note

Support for this Databricks Runtime version has ended. For the end-of-support date, see End-of-support history. For all supported Databricks Runtime versions, see Databricks Runtime release notes versions and compatibility.

The following release notes provide information about Databricks Runtime 11.1, powered by Apache Spark 3.3.0. Databricks released this version in July 2022.

New features and improvements

Photon is GA

Photon is now generally available, beginning with Databricks Runtime 11.1. Photon is the native vectorized query engine on Databricks, written to be directly compatible with Apache Spark APIs so it works with your existing code. Photon is developed in C++ to take advantage of modern hardware, and uses the latest techniques in vectorized query processing to capitalize on data- and instruction-level parallelism in CPUs, enhancing performance on real-world data and applications—all natively on your data lake.

Photon is part of a high-performance runtime that runs your existing SQL and DataFrame API calls faster and reduces your total cost per workload. Photon is used by default in Databricks SQL warehouses.

New features and improvements include:

  • New vectorized sort operator

  • New vectorized window functions

  • New instance types and sizes across all clouds

Limitations:

  • Scala/Python UDFs are not supported by Photon

  • RDD is not supported by Photon

  • Structured Streaming is not supported by Photon

For more information, see the following Photon announcements.

Photon: New vectorized sort operator

Photon now supports a vectorized sort for when a query contains SORT_BY, CLUSTER_BY, or a window function with an ORDER BY.

Limitations: Photon does not support a global ORDER BY clause. Sorts for window evaluation will photonize, but the global sort will continue to run in Spark.

Photon: New vectorized window functions

Photon now supports vectorized window function evaluation for many frame types and functions. New window functions include: row_number, rank, dense_rank, lag, lead, percent_rank, ntile, and nth_value. Supported window frame types: running (UNBOUNDED PRECEDING AND CURRENT ROW), unbounded (UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING), growing (UNBOUNDED PRECEDING AND <OFFSET> FOLLOWING), and shrinking (<OFFSET> PRECEDING AND UNBOUNDED FOLLOWING).

Limitations:

  • Photon supports only ROWS versions of all the frame types.

  • Photon does not yet support the sliding frame type (<OFFSET> PRECEDING AND <OFFSET> FOLLOWING).

Photon: Supported instance types

i3

i3en

i4i

im4gn

is4gen

m5ad

m5d

m5dn

m6gd

r5d

r5dn

r6gd

x2gd

Change data feed can now automatically handle out-of-range timestamps

Change data feed (CDF) now has a new mode for you to provide timestamps or versions past a latest commit’s version without throwing errors. This mode is disabled by default. You can enable it by setting the configuration spark.databricks.delta.changeDataFeed.timestampOutOfRange.enabled to true.

Describe and show SQL functions now show Unity Catalog names in their output (Public Preview)

The commands DESC TABLE, DESC DATABASE, DESC SCHEMA, DESC NAMESPACE, DESC FUNCTION, EXPLAIN, and SHOW CREATE TABLE now always show the catalog name in their output.

Schema inference and evolution for Parquet files in Auto Loader (Public Preview)

Auto Loader now supports schema inference and evolution for Parquet files. Just like JSON, CSV, and Avro formats, you can now use the rescued data column to rescue unexpected data that may appear in your Parquet files. This includes data that cannot be parsed in the data type that’s expected, columns that have a different casing, or additional columns that are not part of the expected schema. You can configure Auto Loader to evolve the schema automatically when encountering adding new columns in the incoming data. See Configure schema inference and evolution in Auto Loader.

Delta Lake support for dynamic partition overwrites

Delta Lake now enables dynamic partition overwrite mode to overwrite all existing data in each logical partition for which the write will commit new data. See Selectively overwrite data with Delta Lake.

Information schema support for objects created in Unity Catalog

Information schema provides a SQL based, self describing API to the metadata of various database objects, including tables and views, constraints and routines. Within the information schema you find a set of views describing the objects known to the schema’s catalog that you are privileged the see. The information schema of the SYSTEM catalog returns information about objects across all catalogs within the metastore. See Information schema.

Informational constraints on Delta Lake tables with Unity Catalog (Public Preview)

You can now define informational primary key and foreign key constraints on Delta Lake tables with Unity Catalog. Informational constraints are not enforced. See CONSTRAINT clause.

Unity Catalog is GA

Unity Catalog is now generally available beginning with Databricks Runtime 11.1. See What is Unity Catalog?.

Delta Sharing is GA

Delta Sharing is now generally available beginning with Databricks Runtime 11.1.

Databricks to Databricks Delta Sharing is fully managed without the need for exchanging tokens. You can create and manage providers, recipients, and shares in the UI or with SQL and REST APIs.

Some features include restricting recipient access, querying data with IP access lists and region restrictions, and delegating Delta Sharing management to non-admins. You can also query changes to data or share incremental versions with Change Data Feeds. See What is Delta Sharing?.

Behavior changes

Sensitive properties redaction for DESCRIBE TABLE and SHOW TABLE PROPERTIES

The DESCRIBE TABLE and SHOW TABLE PROPERTIES commands now redact sensitive properties.

Job clusters default to single user access mode with Databricks Runtime 11.1 and higher

To be Unity Catalog capable, job clusters using Databricks Runtime 11.1 and higher created through the jobs UI or jobs API will default to single user access mode. Single User access mode supports most programming languages, cluster features and data governance features. You can still configure shared access mode through the UI or API, but languages or features might be limited.

Library upgrades

  • Upgraded Python libraries:

    • filelock from 3.6.0 to 3.7.1

    • plotly from 5.6.0 to 5.8.2

    • protobuf from 3.20.1 to 4.21.2

  • Upgraded R libraries:

    • chron from 2.3-56 to 2.3-57

    • DBI from 1.1.2 to 1.1.3

    • dbplyr from 2.1.1 to 2.2.0

    • e1071 from 1.7-9 to 1.7-11

    • future from 1.25.0 to 1.26.1

    • globals from 0.14.0 to 0.15.1

    • hardhat from 0.2.0 to 1.1.0

    • ipred from 0.9-12 to 0.9-13

    • openssl from 2.0.0 to 2.0.2

    • parallelly from 1.31.1 to 1.32.0

    • processx from 3.5.3 to 3.6.1

    • progressr from 0.10.0 to 0.10.1

    • proxy from 0.4-26 to 0.4-27

    • ps from 1.7.0 to 1.7.1

    • randomForest from 4.7-1 to 4.7-1.1

    • roxygen2 from 7.1.2 to 7.2.0

    • Rserve from 1.8-10 to 1.8-11

    • RSQLite from 2.2.13 to 2.2.14

    • sparklyr from 1.7.5 to 1.7.7

    • tinytex from 0.38 to 0.40

    • usethis from 2.1.5 to 2.1.6

    • xfun from 0.30 to 0.31

  • Upgraded Java libraries:

    • io.delta.delta-sharing-spark_2.12 from 0.4.0 to 0.5.0

Apache Spark

Databricks Runtime 11.2 includes Apache Spark 3.3.0. This release includes all Spark fixes and improvements included in Databricks Runtime 11.1 (EoS), as well as the following additional bug fixes and improvements made to Spark:

  • [SPARK-40054] [SQL] Restore the error handling syntax of try_cast()

  • [SPARK-39489] [CORE] Improve event logging JsonProtocol performance by using Jackson instead of Json4s

  • [SPARK-39319] [CORE][SQL] Make query contexts as a part of SparkThrowable

  • [SPARK-40085] [SQL] Use INTERNAL_ERROR error class instead of IllegalStateException to indicate bugs

  • [SPARK-40001] [SQL] Make NULL writes to JSON DEFAULT columns write ‘null’ to storage

  • [SPARK-39635] [SQL] Support driver metrics in DS v2 custom metric API

  • [SPARK-39184] [SQL] Handle undersized result array in date and timestamp sequences

  • [SPARK-40019] [SQL] Refactor comment of ArrayType’s containsNull and refactor the misunderstanding logics in collectionOperator’s expression about containsNull

  • [SPARK-39989] [SQL] Support estimate column statistics if it is foldable expression

  • [SPARK-39926] [SQL] Fix bug in column DEFAULT support for non-vectorized Parquet scans

  • [SPARK-40052] [SQL] Handle direct byte buffers in VectorizedDeltaBinaryPackedReader

  • [SPARK-40044] [SQL] Fix the target interval type in cast overflow errors

  • [SPARK-39835] [SQL] Fix EliminateSorts remove global sort below the local sort

  • [SPARK-40002] [SQL] Don’t push down limit through window using ntile

  • [SPARK-39976] [SQL] ArrayIntersect should handle null in left expression correctly

  • [SPARK-39985] [SQL] Enable implicit DEFAULT column values in inserts from DataFrames

  • [SPARK-39776] [SQL] JOIN verbose string should add Join type

  • [SPARK-38901] [SQL] DS V2 supports push down misc functions

  • [SPARK-40028] [SQL][FollowUp] Improve examples of string functions

  • [SPARK-39983] [CORE][SQL] Do not cache unserialized broadcast relations on the driver

  • [SPARK-39812] [SQL] Simplify code which construct AggregateExpression with toAggregateExpression

  • [SPARK-40028] [SQL] Add binary examples for string expressions

  • [SPARK-39981] [SQL] Throw the exception QueryExecutionErrors.castingCauseOverflowErrorInTableInsert in Cast

  • [SPARK-40007] [PYTHON][SQL] Add ‘mode’ to functions

  • [SPARK-40008] [SQL] Support casting of integrals to ANSI intervals

  • [SPARK-40003] [PYTHON][SQL] Add ‘median’ to functions

  • [SPARK-39952] [SQL] SaveIntoDataSourceCommand should recache result relation

  • [SPARK-39951] [SQL] Update Parquet V2 columnar check for nested fields

  • [SPARK-39775] [CORE][AVRO] Disable validate default values when parsing Avro schemas

  • [SPARK-33236] [shuffle] Backport to DBR 11.x: Enable Push-based shuffle service to store state in NM level DB for work preserving restart

  • [SPARK-39836] [SQL] Simplify V2ExpressionBuilder by extract common method.

  • [SPARK-39867] [SQL] Global limit should not inherit OrderPreservingUnaryNode

  • [SPARK-39873] [SQL] Remove OptimizeLimitZero and merge it into EliminateLimits

  • [SPARK-39961] [SQL] DS V2 push-down translate Cast if the cast is safe

  • [SPARK-39872] [SQL] Change to use BytePackerForLong#unpack8Values with Array input api in VectorizedDeltaBinaryPackedReader

  • [SPARK-39858] [SQL] Remove unnecessary AliasHelper or PredicateHelper for some rules

  • [SPARK-39962] [WARMFIX][ES-393486][PYTHON][SQL] Apply projection when group attributes are empty

  • [SPARK-39900] [SQL] Address partial or negated condition in binary format’s predicate pushdown

  • [SPARK-39904] [SQL] Rename inferDate to prefersDate and clarify semantics of the option in CSV data source

  • [SPARK-39958] [SQL] Add warning log when unable to load custom metric object

  • [SPARK-39936] [SQL] Store schema in properties for Spark Views

  • [SPARK-39932] [SQL] WindowExec should clear the final partition buffer

  • [SPARK-37194] [SQL] Avoid unnecessary sort in v1 write if it’s not dynamic partition

  • [SPARK-39902] [SQL] Add Scan details to spark plan scan node in SparkUI

  • [SPARK-39865] [SQL] Show proper error messages on the overflow errors of table insert

  • [SPARK-39940] [SS] Refresh catalog table on streaming query with DSv1 sink

  • [SPARK-39827] [SQL] Use the error class ARITHMETIC_OVERFLOW on int overflow in add_months()

  • [SPARK-39914] [SQL] Add DS V2 Filter to V1 Filter conversion

  • [SPARK-39857] [SQL] Manual DBR 11.x backport; V2ExpressionBuilder uses the wrong LiteralValue data type for In predicate #43454

  • [SPARK-39840] [SQL][PYTHON] Factor PythonArrowInput out as a symmetry to PythonArrowOutput

  • [SPARK-39651] [SQL] Prune filter condition if compare with rand is deterministic

  • [SPARK-39877] [PYTHON] Add unpivot to PySpark DataFrame API

  • [SPARK-39847] [WARMFIX][SS] Fix race condition in RocksDBLoader.loadLibrary() if caller thread is interrupted

  • [SPARK-39909] [SQL] Organize the check of push down information for JDBCV2Suite

  • [SPARK-39834] [SQL][SS] Include the origin stats and constraints for LogicalRDD if it comes from DataFrame

  • [SPARK-39849] [SQL] Dataset.as(StructType) fills missing new columns with null value

  • [SPARK-39860] [SQL] More expressions should extend Predicate

  • [SPARK-39823] [SQL][PYTHON] Rename Dataset.as as Dataset.to and add DataFrame.to in PySpark

  • [SPARK-39918] [SQL][MINOR] Replace the wording “un-comparable” with “incomparable” in error message

  • [SPARK-39857] [SQL][3.3] V2ExpressionBuilder uses the wrong LiteralValue data type for In predicate

  • [SPARK-39862] [SQL] Manual backport for PR 43654 targeting DBR 11.x: Update SQLConf.DEFAULT_COLUMN_ALLOWED_PROVIDERS to allow/deny ALTER TABLE … ADD COLUMN commands separately.

  • [SPARK-39844] [SQL] Manual backport for PR 43652 targeting DBR 11.x

  • [SPARK-39899] [SQL] Fix passing of message parameters to InvalidUDFClassException

  • [SPARK-39890] [SQL] Make TakeOrderedAndProjectExec inherit AliasAwareOutputOrdering

  • [SPARK-39809] [PYTHON] Support CharType in PySpark

  • [SPARK-38864] [SQL] Add unpivot / melt to Dataset

  • [SPARK-39864] [SQL] Lazily register ExecutionListenerBus

  • [SPARK-39808] [SQL] Support aggregate function MODE

  • [SPARK-39839] [SQL] Handle special case of null variable-length Decimal with non-zero offsetAndSize in UnsafeRow structural integrity check

  • [SPARK-39875] [SQL] Change protected method in final class to private or package-visible

  • [SPARK-39731] [SQL] Fix issue in CSV and JSON data sources when parsing dates in “yyyyMMdd” format with CORRECTED time parser policy

  • [SPARK-39805] [SS] Deprecate Trigger.Once and Promote Trigger.AvailableNow

  • [SPARK-39784] [SQL] Put Literal values on the right side of the data source filter after translating Catalyst Expression to data source filter

  • [SPARK-39672] [SQL][3.1] Fix removing project before filter with correlated subquery

  • [SPARK-39552] [SQL] Unify v1 and v2 DESCRIBE TABLE

  • [SPARK-39806] [SQL] Accessing _metadata on partitioned table can crash a query

  • [SPARK-39810] [SQL] Catalog.tableExists should handle nested namespace

  • [SPARK-37287] [SQL] Pull out dynamic partition and bucket sort from FileFormatWriter

  • [SPARK-39469] [SQL] Infer date type for CSV schema inference

  • [SPARK-39148] [SQL] DS V2 aggregate push down can work with OFFSET or LIMIT

  • [SPARK-39818] [SQL] Fix bug in ARRAY, STRUCT, MAP types with DEFAULT values with NULL field(s)

  • [SPARK-39792] [SQL] Add DecimalDivideWithOverflowCheck for decimal average

  • [SPARK-39798] [SQL] Replcace toSeq.toArray with .toArray[Any] in constructor of GenericArrayData

  • [SPARK-39759] [SQL] Implement listIndexes in JDBC (H2 dialect)

  • [SPARK-39385] [SQL] Supports push down REGR_AVGX and REGR_AVGY

  • [SPARK-39787] [SQL] Use error class in the parsing error of function to_timestamp

  • [SPARK-39760] [PYTHON] Support Varchar in PySpark

  • [SPARK-39557] [SQL] Manual backport to DBR 11.x: Support ARRAY, STRUCT, MAP types as DEFAULT values

  • [SPARK-39758] [SQL][3.3] Fix NPE from the regexp functions on invalid patterns

  • [SPARK-39749] [SQL] ANSI SQL mode: Use plain string representation on casting Decimal to String

  • [SPARK-39704] [SQL] Implement createIndex & dropIndex & indexExists in JDBC (H2 dialect)

  • [SPARK-39803] [SQL] Use LevenshteinDistance instead of StringUtils.getLevenshteinDistance

  • [SPARK-39339] [SQL] Support TimestampNTZ type in JDBC data source

  • [SPARK-39781] [SS] Add support for providing max_open_files to rocksdb state store provider

  • [SPARK-39719] [R] Implement databaseExists/getDatabase in SparkR support 3L namespace

  • [SPARK-39751] [SQL] Rename hash aggregate key probes metric

  • [SPARK-39772] [SQL] namespace should be null when database is null in the old constructors

  • [SPARK-39625] [SPARK-38904][SQL] Add Dataset.as(StructType)

  • [SPARK-39384] [SQL] Compile built-in linear regression aggregate functions for JDBC dialect

  • [SPARK-39720] [R] Implement tableExists/getTable in SparkR for 3L namespace

  • [SPARK-39744] [SQL] Add the REGEXP_INSTR function

  • [SPARK-39716] [R] Make currentDatabase/setCurrentDatabase/listCatalogs in SparkR support 3L namespace

  • [SPARK-39788] [SQL] Rename catalogName to dialectName for JdbcUtils

  • [SPARK-39647] [CORE] Register the executor with ESS before registering the BlockManager

  • [SPARK-39754] [CORE][SQL] Remove unused import or unnecessary {}

  • [SPARK-39706] [SQL] Set missing column with defaultValue as constant in ParquetColumnVector

  • [SPARK-39699] [SQL] Make CollapseProject smarter about collection creation expressions

  • [SPARK-39737] [SQL] PERCENTILE_CONT and PERCENTILE_DISC should support aggregate filter

  • [SPARK-39579] [SQL][PYTHON][R] Make ListFunctions/getFunction/functionExists compatible with 3 layer namespace

  • [SPARK-39627] [SQL] JDBC V2 pushdown should unify the compile API

  • [SPARK-39748] [SQL][SS] Include the origin logical plan for LogicalRDD if it comes from DataFrame

  • [SPARK-39385] [SQL] Translate linear regression aggregate functions for pushdown

  • [SPARK-39695] [SQL] Add the REGEXP_SUBSTR function

  • [SPARK-39667] [SQL] Add another workaround when there is not enough memory to build and broadcast the table

  • [SPARK-39666] [ES-337834][SQL] Use UnsafeProjection.create to respect spark.sql.codegen.factoryMode in ExpressionEncoder

  • [SPARK-39643] [SQL] Prohibit subquery expressions in DEFAULT values

  • [SPARK-38647] [SQL] Add SupportsReportOrdering mix in interface for Scan (DataSourceV2)

  • [SPARK-39497] [SQL] Improve the analysis exception of missing map key column

  • [SPARK-39661] [SQL] Avoid creating unnecessary SLF4J Logger

  • [SPARK-39713] [SQL] ANSI mode: add suggestion of using try_element_at for INVALID_ARRAY_INDEX error

  • [SPARK-38899] [SQL]DS V2 supports push down datetime functions

  • [SPARK-39638] [SQL] Change to use ConstantColumnVector to store partition columns in OrcColumnarBatchReader

  • [SPARK-39653] [SQL] Clean up ColumnVectorUtils#populate(WritableColumnVector, InternalRow, int) from ColumnVectorUtils

  • [SPARK-39231] [SQL] Use ConstantColumnVector instead of On/OffHeapColumnVector to store partition columns in VectorizedParquetRecordReader

  • [SPARK-39547] [SQL] V2SessionCatalog should not throw NoSuchDatabaseException in loadNamspaceMetadata

  • [SPARK-39447] [SQL] Avoid AssertionError in AdaptiveSparkPlanExec.doExecuteBroadcast

  • [SPARK-39492] [SQL] Rework MISSING_COLUMN

  • [SPARK-39679] [SQL] TakeOrderedAndProjectExec should respect child output ordering

  • [SPARK-39606] [SQL] Use child stats to estimate order operator

  • [SPARK-39611] [PYTHON][PS] Fix wrong aliases in array_ufunc

  • [SPARK-39656] [SQL][3.3] Fix wrong namespace in DescribeNamespaceExec

  • [SPARK-39675] [SQL] Switch ‘spark.sql.codegen.factoryMode’ configuration from testing purpose to internal purpose

  • [SPARK-39139] [SQL] DS V2 supports push down DS V2 UDF

  • [SPARK-39434] [SQL] Provide runtime error query context when array index is out of bounding

  • [SPARK-39479] [SQL] DS V2 supports push down math functions(non ANSI)

  • [SPARK-39618] [SQL] Add the REGEXP_COUNT function

  • [SPARK-39553] [CORE] Multi-thread unregister shuffle shouldn’t throw NPE when using Scala 2.13

  • [SPARK-38755] [PYTHON][3.3] Add file to address missing pandas general functions

  • [SPARK-39444] [SQL] Add OptimizeSubqueries into nonExcludableRules list

  • [SPARK-39316] [SQL] Merge PromotePrecision and CheckOverflow into decimal binary arithmetic

  • [SPARK-39505] [UI] Escape log content rendered in UI

  • [SPARK-39448] [SQL] Add ReplaceCTERefWithRepartition into nonExcludableRules list

  • [SPARK-37961] [SQL] Override maxRows/maxRowsPerPartition for some logical operators

  • [SPARK-35223] Revert Add IssueNavigationLink

  • [SPARK-39633] [SQL] Support timestamp in seconds for TimeTravel using Dataframe options

  • [SPARK-38796] [SQL] Update documentation for number format strings with the {try_}to_number functions

  • [SPARK-39650] [SS] Fix incorrect value schema in streaming deduplication with backward compatibility

  • [SPARK-39636] [CORE][UI] Fix multiple bugs in JsonProtocol, impacting off heap StorageLevels and Task/Executor ResourceRequests

  • [SPARK-39432] [SQL] Return ELEMENT_AT_BY_INDEX_ZERO from element_at(*, 0)

  • [SPARK-39349] Add a centralized CheckError method for QA of error path

  • [SPARK-39453] [SQL] DS V2 supports push down misc non-aggregate functions(non ANSI)

  • [SPARK-38978] [SQL] DS V2 supports push down OFFSET operator

  • [SPARK-39567] [SQL] Support ANSI intervals in the percentile functions

  • [SPARK-39383] [SQL] Support DEFAULT columns in ALTER TABLE ALTER COLUMNS to V2 data sources

  • [SPARK-39396] [SQL] Fix LDAP login exception ‘error code 49 - invalid credentials’

  • [SPARK-39548] [SQL] CreateView Command with a window clause query hit a wrong window definition not found issue

  • [SPARK-39575] [AVRO] add ByteBuffer#rewind after ByteBuffer#get in Avr…

  • [SPARK-39543] The option of DataFrameWriterV2 should be passed to storage properties if fallback to v1

  • [SPARK-39564] [SS] Expose the information of catalog table to the logical plan in streaming query

  • [SPARK-39582] [SQL] Fix “Since” marker for array_agg

  • [SPARK-39388] [SQL] Reuse orcSchema when push down Orc predicates

  • [SPARK-39511] [SQL] Enhance push down local limit 1 for right side of left semi/anti join if join condition is empty

  • [SPARK-38614] [SQL] Don’t push down limit through window that’s using percent_rank

  • [SPARK-39551] [SQL] Add AQE invalid plan check

  • [SPARK-39383] [SQL] Support DEFAULT columns in ALTER TABLE ADD COLUMNS to V2 data sources

  • [SPARK-39538] [SQL] Avoid creating unnecessary SLF4J Logger

  • [SPARK-39383] [SQL] Manual backport to DBR 11.x: Refactor DEFAULT column support to skip passing the primary Analyzer around

  • [SPARK-39397] [SQL] Relax AliasAwareOutputExpression to support alias with expression

  • [SPARK-39496] [SQL] Handle null struct in Inline.eval

  • [SPARK-39545] [SQL] Override concat method for ExpressionSet in Scala 2.13 to improve the performance

  • [SPARK-39340] [SQL] DS v2 agg pushdown should allow dots in the name of top-level columns

  • [SPARK-39488] [SQL] Simplify the error handling of TempResolvedColumn

  • [SPARK-38846] [SQL] Add explicit data mapping between Teradata Numeric Type and Spark DecimalType

  • [SPARK-39520] [SQL] Override -- method for ExpressionSet in Scala 2.13

  • [SPARK-39470] [SQL] Support cast of ANSI intervals to decimals

  • [SPARK-39477] [SQL] Remove “Number of queries” info from the golden files of SQLQueryTestSuite

  • [SPARK-39419] [SQL] Fix ArraySort to throw an exception when the comparator returns null

  • [SPARK-39061] [SQL] Set nullable correctly for Inline output attributes

  • [SPARK-39320] [SQL] Support aggregate function MEDIAN

  • [SPARK-39261] [CORE] Improve newline formatting for error messages

  • [SPARK-39355] [SQL] Single column uses quoted to construct UnresolvedAttribute

  • [SPARK-39351] [SQL] SHOW CREATE TABLE should redact properties

  • [SPARK-37623] [SQL] Support ANSI Aggregate Function: regr_intercept

  • [SPARK-39374] [SQL] Improve error message for user specified column list

  • [SPARK-39255] [SQL][3.3] Improve error messages

  • [SPARK-39321] [SQL] Refactor TryCast to use RuntimeReplaceable

  • [SPARK-39406] [PYTHON] Accept NumPy array in createDataFrame

  • [SPARK-39267] [SQL] Clean up dsl unnecessary symbol

  • [SPARK-39171] [SQL] Unify the Cast expression

  • [SPARK-28330] [SQL] Support ANSI SQL: result offset clause in query expression

  • [SPARK-39203] [SQL] Rewrite table location to absolute URI based on database URI

  • [SPARK-39313] [SQL] toCatalystOrdering should fail if V2Expression can not be translated

  • [SPARK-39301] [SQL][PYTHON] Leverage LocalRelation and respect Arrow batch size in createDataFrame with Arrow optimization

  • [SPARK-39400] [SQL] spark-sql should remove hive resource dir in all case

System environment

  • Operating System: Ubuntu 20.04.4 LTS

  • Java: Zulu 8.56.0.21-CA-linux64

  • Scala: 2.12.14

  • Python: 3.9.5

  • R: 4.1.3

  • Delta Lake: 1.2.1

Installed Python libraries

Library

Version

Library

Version

Library

Version

Antergos Linux

2015.10 (ISO-Rolling)

argon2-cffi

20.1.0

async-generator

1.10

attrs

21.2.0

backcall

0.2.0

backports.entry-points-selectable

1.1.1

black

22.3.0

bleach

4.0.0

boto3

1.21.18

botocore

1.24.18

certifi

2021.10.8

cffi

1.14.6

chardet

4.0.0

charset-normalizer

2.0.4

click

8.0.3

cryptography

3.4.8

cycler

0.10.0

Cython

0.29.24

dbus-python

1.2.16

debugpy

1.4.1

decorator

5.1.0

defusedxml

0.7.1

distlib

0.3.5

distro-info

0.23ubuntu1

entrypoints

0.3

facets-overview

1.0.0

filelock

3.8.0

idna

3.2

ipykernel

6.12.1

ipython

7.32.0

ipython-genutils

0.2.0

ipywidgets

7.7.0

jedi

0.18.0

Jinja2

2.11.3

jmespath

0.10.0

joblib

1.0.1

jsonschema

3.2.0

jupyter-client

6.1.12

jupyter-core

4.8.1

jupyterlab-pygments

0.1.2

jupyterlab-widgets

1.0.0

kiwisolver

1.3.1

MarkupSafe

2.0.1

matplotlib

3.4.3

matplotlib-inline

0.1.2

mistune

0.8.4

mypy-extensions

0.4.3

nbclient

0.5.3

nbconvert

6.1.0

nbformat

5.1.3

nest-asyncio

1.5.1

notebook

6.4.5

numpy

1.20.3

packaging

21.0

pandas

1.3.4

pandocfilters

1.4.3

parso

0.8.2

pathspec

0.9.0

patsy

0.5.2

pexpect

4.8.0

pickleshare

0.7.5

Pillow

8.4.0

pip

21.2.4

platformdirs

2.5.2

plotly

5.9.0

prometheus-client

0.11.0

prompt-toolkit

3.0.20

protobuf

4.21.5

psutil

5.8.0

psycopg2

2.9.3

ptyprocess

0.7.0

pyarrow

7.0.0

pycparser

2.20

Pygments

2.10.0

PyGObject

3.36.0

pyodbc

4.0.31

pyparsing

3.0.4

pyrsistent

0.18.0

python-apt

2.0.0+ubuntu0.20.4.7

python-dateutil

2.8.2

pytz

2021.3

pyzmq

22.2.1

requests

2.26.0

requests-unixsocket

0.2.0

s3transfer

0.5.2

scikit-learn

0.24.2

scipy

1.7.1

seaborn

0.11.2

Send2Trash

1.8.0

setuptools

58.0.4

six

1.16.0

ssh-import-id

5.10

statsmodels

0.12.2

tenacity

8.0.1

terminado

0.9.4

testpath

0.5.0

threadpoolctl

2.2.0

tokenize-rt

4.2.1

tomli

2.0.1

tornado

6.1

traitlets

5.1.0

typing-extensions

3.10.0.2

unattended-upgrades

0.1

urllib3

1.26.7

virtualenv

20.8.0

wcwidth

0.2.5

webencodings

0.5.1

wheel

0.37.0

widgetsnbextension

3.6.0

Installed R libraries

R libraries are installed from the Microsoft CRAN snapshot on 2022-08-15.

Library

Version

Library

Version

Library

Version

askpass

1.1

assertthat

0.2.1

backports

1.4.1

base

4.1.3

base64enc

0.1-3

bit

4.0.4

bit64

4.0.5

blob

1.2.3

boot

1.3-28

brew

1.0-7

brio

1.1.3

broom

1.0.0

bslib

0.4.0

cachem

1.0.6

callr

3.7.1

caret

6.0-93

cellranger

1.1.0

chron

2.3-57

class

7.3-20

cli

3.3.0

clipr

0.8.0

cluster

2.1.3

codetools

0.2-18

colorspace

2.0-3

commonmark

1.8.0

compiler

4.1.3

config

0.3.1

cpp11

0.4.2

crayon

1.5.1

credentials

1.3.2

curl

4.3.2

data.table

1.14.2

datasets

4.1.3

DBI

1.1.3

dbplyr

2.2.1

desc

1.4.1

devtools

2.4.4

diffobj

0.3.5

digest

0.6.29

downlit

0.4.2

dplyr

1.0.9

dtplyr

1.2.1

e1071

1.7-11

ellipsis

0.3.2

evaluate

0.16

fansi

1.0.3

farver

2.1.1

fastmap

1.1.0

fontawesome

0.3.0

forcats

0.5.1

foreach

1.5.2

foreign

0.8-82

forge

0.2.0

fs

1.5.2

future

1.27.0

future.apply

1.9.0

gargle

1.2.0

generics

0.1.3

gert

1.7.0

ggplot2

3.3.6

gh

1.3.0

gitcreds

0.1.1

glmnet

4.1-4

globals

0.16.0

glue

1.6.2

googledrive

2.0.0

googlesheets4

1.0.1

gower

1.0.0

graphics

4.1.3

grDevices

4.1.3

grid

4.1.3

gridExtra

2.3

gsubfn

0.7

gtable

0.3.0

hardhat

1.2.0

haven

2.5.0

highr

0.9

hms

1.1.1

htmltools

0.5.3

htmlwidgets

1.5.4

httpuv

1.6.5

httr

1.4.3

ids

1.0.1

ini

0.3.1

ipred

0.9-13

isoband

0.2.5

iterators

1.0.14

jquerylib

0.1.4

jsonlite

1.8.0

KernSmooth

2.23-20

knitr

1.39

labeling

0.4.2

later

1.3.0

lattice

0.20-45

lava

1.6.10

lifecycle

1.0.1

listenv

0.8.0

lubridate

1.8.0

magrittr

2.0.3

markdown

1.1

MASS

7.3-56

Matrix

1.4-1

memoise

2.0.1

methods

4.1.3

mgcv

1.8-40

mime

0.12

miniUI

0.1.1.1

ModelMetrics

1.2.2.2

modelr

0.1.8

munsell

0.5.0

nlme

3.1-157

nnet

7.3-17

numDeriv

2016.8-1.1

openssl

2.0.2

parallel

4.1.3

parallelly

1.32.1

pillar

1.8.0

pkgbuild

1.3.1

pkgconfig

2.0.3

pkgdown

2.0.6

pkgload

1.3.0

plogr

0.2.0

plyr

1.8.7

praise

1.0.0

prettyunits

1.1.1

pROC

1.18.0

processx

3.7.0

prodlim

2019.11.13

profvis

0.3.7

progress

1.2.2

progressr

0.10.1

promises

1.2.0.1

proto

1.0.0

proxy

0.4-27

ps

1.7.1

purrr

0.3.4

r2d3

0.2.6

R6

2.5.1

ragg

1.2.2

randomForest

4.7-1.1

rappdirs

0.3.3

rcmdcheck

1.4.0

RColorBrewer

1.1-3

Rcpp

1.0.9

RcppEigen

0.3.3.9.2

readr

2.1.2

readxl

1.4.0

recipes

1.0.1

rematch

1.0.1

rematch2

2.1.2

remotes

2.4.2

reprex

2.0.1

reshape2

1.4.4

rlang

1.0.4

rmarkdown

2.14

RODBC

1.3-19

roxygen2

7.2.1

rpart

4.1.16

rprojroot

2.0.3

Rserve

1.8-11

RSQLite

2.2.15

rstudioapi

0.13

rversions

2.1.1

rvest

1.0.2

sass

0.4.2

scales

1.2.0

selectr

0.4-2

sessioninfo

1.2.2

shape

1.4.6

shiny

1.7.2

sourcetools

0.1.7

sparklyr

1.7.7

SparkR

3.3.0

spatial

7.3-11

splines

4.1.3

sqldf

0.4-11

SQUAREM

2021.1

stats

4.1.3

stats4

4.1.3

stringi

1.7.8

stringr

1.4.0

survival

3.2-13

sys

3.4

systemfonts

1.0.4

tcltk

4.1.3

testthat

3.1.4

textshaping

0.3.6

tibble

3.1.8

tidyr

1.2.0

tidyselect

1.1.2

tidyverse

1.3.2

timeDate

4021.104

tinytex

0.40

tools

4.1.3

tzdb

0.3.0

urlchecker

1.0.1

usethis

2.1.6

utf8

1.2.2

utils

4.1.3

uuid

1.1-0

vctrs

0.4.1

viridisLite

0.4.0

vroom

1.5.7

waldo

0.4.0

whisker

0.4

withr

2.5.0

xfun

0.32

xml2

1.3.3

xopen

1.0.0

xtable

1.8-4

yaml

2.3.5

zip

2.2.0

Installed Java and Scala libraries (Scala 2.12 cluster version)

Group ID

Artifact ID

Version

antlr

antlr

2.7.7

com.amazonaws

amazon-kinesis-client

1.12.0

com.amazonaws

aws-java-sdk-autoscaling

1.12.189

com.amazonaws

aws-java-sdk-cloudformation

1.12.189

com.amazonaws

aws-java-sdk-cloudfront

1.12.189

com.amazonaws

aws-java-sdk-cloudhsm

1.12.189

com.amazonaws

aws-java-sdk-cloudsearch

1.12.189

com.amazonaws

aws-java-sdk-cloudtrail

1.12.189

com.amazonaws

aws-java-sdk-cloudwatch

1.12.189

com.amazonaws

aws-java-sdk-cloudwatchmetrics

1.12.189

com.amazonaws

aws-java-sdk-codedeploy

1.12.189

com.amazonaws

aws-java-sdk-cognitoidentity

1.12.189

com.amazonaws

aws-java-sdk-cognitosync

1.12.189

com.amazonaws

aws-java-sdk-config

1.12.189

com.amazonaws

aws-java-sdk-core

1.12.189

com.amazonaws

aws-java-sdk-datapipeline

1.12.189

com.amazonaws

aws-java-sdk-directconnect

1.12.189

com.amazonaws

aws-java-sdk-directory

1.12.189

com.amazonaws

aws-java-sdk-dynamodb

1.12.189

com.amazonaws

aws-java-sdk-ec2

1.12.189

com.amazonaws

aws-java-sdk-ecs

1.12.189

com.amazonaws

aws-java-sdk-efs

1.12.189

com.amazonaws

aws-java-sdk-elasticache

1.12.189

com.amazonaws

aws-java-sdk-elasticbeanstalk

1.12.189

com.amazonaws

aws-java-sdk-elasticloadbalancing

1.12.189

com.amazonaws

aws-java-sdk-elastictranscoder

1.12.189

com.amazonaws

aws-java-sdk-emr

1.12.189

com.amazonaws

aws-java-sdk-glacier

1.12.189

com.amazonaws

aws-java-sdk-glue

1.12.189

com.amazonaws

aws-java-sdk-iam

1.12.189

com.amazonaws

aws-java-sdk-importexport

1.12.189

com.amazonaws

aws-java-sdk-kinesis

1.12.189

com.amazonaws

aws-java-sdk-kms

1.12.189

com.amazonaws

aws-java-sdk-lambda

1.12.189

com.amazonaws

aws-java-sdk-logs

1.12.189

com.amazonaws

aws-java-sdk-machinelearning

1.12.189

com.amazonaws

aws-java-sdk-opsworks

1.12.189

com.amazonaws

aws-java-sdk-rds

1.12.189

com.amazonaws

aws-java-sdk-redshift

1.12.189

com.amazonaws

aws-java-sdk-route53

1.12.189

com.amazonaws

aws-java-sdk-s3

1.12.189

com.amazonaws

aws-java-sdk-ses

1.12.189

com.amazonaws

aws-java-sdk-simpledb

1.12.189

com.amazonaws

aws-java-sdk-simpleworkflow

1.12.189

com.amazonaws

aws-java-sdk-sns

1.12.189

com.amazonaws

aws-java-sdk-sqs

1.12.189

com.amazonaws

aws-java-sdk-ssm

1.12.189

com.amazonaws

aws-java-sdk-storagegateway

1.12.189

com.amazonaws

aws-java-sdk-sts

1.12.189

com.amazonaws

aws-java-sdk-support

1.12.189

com.amazonaws

aws-java-sdk-swf-libraries

1.11.22

com.amazonaws

aws-java-sdk-workspaces

1.12.189

com.amazonaws

jmespath-java

1.12.189

com.chuusai

shapeless_2.12

2.3.3

com.clearspring.analytics

stream

2.9.6

com.databricks

Rserve

1.8-3

com.databricks

jets3t

0.7.1-0

com.databricks.scalapb

compilerplugin_2.12

0.4.15-10

com.databricks.scalapb

scalapb-runtime_2.12

0.4.15-10

com.esotericsoftware

kryo-shaded

4.0.2

com.esotericsoftware

minlog

1.3.0

com.fasterxml

classmate

1.3.4

com.fasterxml.jackson.core

jackson-annotations

2.13.3

com.fasterxml.jackson.core

jackson-core

2.13.3

com.fasterxml.jackson.core

jackson-databind

2.13.3

com.fasterxml.jackson.dataformat

jackson-dataformat-cbor

2.13.3

com.fasterxml.jackson.datatype

jackson-datatype-joda

2.13.3

com.fasterxml.jackson.datatype

jackson-datatype-jsr310

2.13.3

com.fasterxml.jackson.module

jackson-module-paranamer

2.13.3

com.fasterxml.jackson.module

jackson-module-scala_2.12

2.13.3

com.github.ben-manes.caffeine

caffeine

2.3.4

com.github.fommil

jniloader

1.1

com.github.fommil.netlib

core

1.1.2

com.github.fommil.netlib

native_ref-java

1.1

com.github.fommil.netlib

native_ref-java-natives

1.1

com.github.fommil.netlib

native_system-java

1.1

com.github.fommil.netlib

native_system-java-natives

1.1

com.github.fommil.netlib

netlib-native_ref-linux-x86_64-natives

1.1

com.github.fommil.netlib

netlib-native_system-linux-x86_64-natives

1.1

com.github.luben

zstd-jni

1.5.2-1

com.github.wendykierp

JTransforms

3.1

com.google.code.findbugs

jsr305

3.0.0

com.google.code.gson

gson

2.8.6

com.google.crypto.tink

tink

1.6.1

com.google.flatbuffers

flatbuffers-java

1.12.0

com.google.guava

guava

15.0

com.google.protobuf

protobuf-java

2.6.1

com.h2database

h2

2.0.204

com.helger

profiler

1.1.1

com.jcraft

jsch

0.1.50

com.jolbox

bonecp

0.8.0.RELEASE

com.lihaoyi

sourcecode_2.12

0.1.9

com.microsoft.azure

azure-data-lake-store-sdk

2.3.9

com.ning

compress-lzf

1.1

com.sun.mail

javax.mail

1.5.2

com.tdunning

json

1.8

com.thoughtworks.paranamer

paranamer

2.8

com.trueaccord.lenses

lenses_2.12

0.4.12

com.twitter

chill-java

0.10.0

com.twitter

chill_2.12

0.10.0

com.twitter

util-app_2.12

7.1.0

com.twitter

util-core_2.12

7.1.0

com.twitter

util-function_2.12

7.1.0

com.twitter

util-jvm_2.12

7.1.0

com.twitter

util-lint_2.12

7.1.0

com.twitter

util-registry_2.12

7.1.0

com.twitter

util-stats_2.12

7.1.0

com.typesafe

config

1.2.1

com.typesafe.scala-logging

scala-logging_2.12

3.7.2

com.uber

h3

3.7.0

com.univocity

univocity-parsers

2.9.1

com.zaxxer

HikariCP

4.0.3

commons-cli

commons-cli

1.5.0

commons-codec

commons-codec

1.15

commons-collections

commons-collections

3.2.2

commons-dbcp

commons-dbcp

1.4

commons-fileupload

commons-fileupload

1.3.3

commons-httpclient

commons-httpclient

3.1

commons-io

commons-io

2.11.0

commons-lang

commons-lang

2.6

commons-logging

commons-logging

1.1.3

commons-pool

commons-pool

1.5.4

dev.ludovic.netlib

arpack

2.2.1

dev.ludovic.netlib

blas

2.2.1

dev.ludovic.netlib

lapack

2.2.1

hadoop3

jets3t-0.7

liball_deps_2.12

info.ganglia.gmetric4j

gmetric4j

1.0.10

io.airlift

aircompressor

0.21

io.delta

delta-sharing-spark_2.12

0.5.0

io.dropwizard.metrics

metrics-core

4.1.1

io.dropwizard.metrics

metrics-graphite

4.1.1

io.dropwizard.metrics

metrics-healthchecks

4.1.1

io.dropwizard.metrics

metrics-jetty9

4.1.1

io.dropwizard.metrics

metrics-jmx

4.1.1

io.dropwizard.metrics

metrics-json

4.1.1

io.dropwizard.metrics

metrics-jvm

4.1.1

io.dropwizard.metrics

metrics-servlets

4.1.1

io.netty

netty-all

4.1.74.Final

io.netty

netty-buffer

4.1.74.Final

io.netty

netty-codec

4.1.74.Final

io.netty

netty-common

4.1.74.Final

io.netty

netty-handler

4.1.74.Final

io.netty

netty-resolver

4.1.74.Final

io.netty

netty-tcnative-classes

2.0.48.Final

io.netty

netty-transport

4.1.74.Final

io.netty

netty-transport-classes-epoll

4.1.74.Final

io.netty

netty-transport-classes-kqueue

4.1.74.Final

io.netty

netty-transport-native-epoll-linux-aarch_64

4.1.74.Final

io.netty

netty-transport-native-epoll-linux-x86_64

4.1.74.Final

io.netty

netty-transport-native-kqueue-osx-aarch_64

4.1.74.Final

io.netty

netty-transport-native-kqueue-osx-x86_64

4.1.74.Final

io.netty

netty-transport-native-unix-common

4.1.74.Final

io.prometheus

simpleclient

0.7.0

io.prometheus

simpleclient_common

0.7.0

io.prometheus

simpleclient_dropwizard

0.7.0

io.prometheus

simpleclient_pushgateway

0.7.0

io.prometheus

simpleclient_servlet

0.7.0

io.prometheus.jmx

collector

0.12.0

jakarta.annotation

jakarta.annotation-api

1.3.5

jakarta.servlet

jakarta.servlet-api

4.0.3

jakarta.validation

jakarta.validation-api

2.0.2

jakarta.ws.rs

jakarta.ws.rs-api

2.1.6

javax.activation

activation

1.1.1

javax.annotation

javax.annotation-api

1.3.2

javax.el

javax.el-api

2.2.4

javax.jdo

jdo-api

3.0.1

javax.transaction

jta

1.1

javax.transaction

transaction-api

1.1

javax.xml.bind

jaxb-api

2.2.11

javolution

javolution

5.5.1

jline

jline

2.14.6

joda-time

joda-time

2.10.13

mvn

hadoop3

liball_deps_2.12

net.java.dev.jna

jna

5.8.0

net.razorvine

pickle

1.2

net.sf.jpam

jpam

1.1

net.sf.opencsv

opencsv

2.3

net.sf.supercsv

super-csv

2.2.0

net.snowflake

snowflake-ingest-sdk

0.9.6

net.snowflake

snowflake-jdbc

3.13.14

net.snowflake

spark-snowflake_2.12

2.10.0-spark_3.2

net.sourceforge.f2j

arpack_combined_all

0.1

org.acplt.remotetea

remotetea-oncrpc

1.1.2

org.antlr

ST4

4.0.4

org.antlr

antlr-runtime

3.5.2

org.antlr

antlr4-runtime

4.8

org.antlr

stringtemplate

3.2.1

org.apache.ant

ant

1.9.2

org.apache.ant

ant-jsch

1.9.2

org.apache.ant

ant-launcher

1.9.2

org.apache.arrow

arrow-format

7.0.0

org.apache.arrow

arrow-memory-core

7.0.0

org.apache.arrow

arrow-memory-netty

7.0.0

org.apache.arrow

arrow-vector

7.0.0

org.apache.avro

avro

1.11.0

org.apache.avro

avro-ipc

1.11.0

org.apache.avro

avro-mapred

1.11.0

org.apache.commons

commons-collections4

4.4

org.apache.commons

commons-compress

1.21

org.apache.commons

commons-crypto

1.1.0

org.apache.commons

commons-lang3

3.12.0

org.apache.commons

commons-math3

3.6.1

org.apache.commons

commons-text

1.9

org.apache.curator

curator-client

2.13.0

org.apache.curator

curator-framework

2.13.0

org.apache.curator

curator-recipes

2.13.0

org.apache.derby

derby

10.14.2.0

org.apache.hadoop

hadoop-client-api

3.3.2-databricks

org.apache.hadoop

hadoop-client-runtime

3.3.2

org.apache.hive

hive-beeline

2.3.9

org.apache.hive

hive-cli

2.3.9

org.apache.hive

hive-jdbc

2.3.9

org.apache.hive

hive-llap-client

2.3.9

org.apache.hive

hive-llap-common

2.3.9

org.apache.hive

hive-serde

2.3.9

org.apache.hive

hive-shims

2.3.9

org.apache.hive

hive-storage-api

2.7.2

org.apache.hive.shims

hive-shims-0.23

2.3.9

org.apache.hive.shims

hive-shims-common

2.3.9

org.apache.hive.shims

hive-shims-scheduler

2.3.9

org.apache.httpcomponents

httpclient

4.5.13

org.apache.httpcomponents

httpcore

4.4.14

org.apache.ivy

ivy

2.5.0

org.apache.logging.log4j

log4j-1.2-api

2.17.2

org.apache.logging.log4j

log4j-api

2.17.2

org.apache.logging.log4j

log4j-core

2.17.2

org.apache.logging.log4j

log4j-slf4j-impl

2.17.2

org.apache.mesos

mesos-shaded-protobuf

1.4.0

org.apache.orc

orc-core

1.7.5

org.apache.orc

orc-mapreduce

1.7.5

org.apache.orc

orc-shims

1.7.5

org.apache.parquet

parquet-column

1.12.0-databricks-0004

org.apache.parquet

parquet-common

1.12.0-databricks-0004

org.apache.parquet

parquet-encoding

1.12.0-databricks-0004

org.apache.parquet

parquet-format-structures

1.12.0-databricks-0004

org.apache.parquet

parquet-hadoop

1.12.0-databricks-0004

org.apache.parquet

parquet-jackson

1.12.0-databricks-0004

org.apache.thrift

libfb303

0.9.3

org.apache.thrift

libthrift

0.12.0

org.apache.xbean

xbean-asm9-shaded

4.20

org.apache.yetus

audience-annotations

0.5.0

org.apache.zookeeper

zookeeper

3.6.2

org.apache.zookeeper

zookeeper-jute

3.6.2

org.checkerframework

checker-qual

3.5.0

org.codehaus.jackson

jackson-core-asl

1.9.13

org.codehaus.jackson

jackson-mapper-asl

1.9.13

org.codehaus.janino

commons-compiler

3.0.16

org.codehaus.janino

janino

3.0.16

org.datanucleus

datanucleus-api-jdo

4.2.4

org.datanucleus

datanucleus-core

4.1.17

org.datanucleus

datanucleus-rdbms

4.1.19

org.datanucleus

javax.jdo

3.2.0-m3

org.eclipse.jetty

jetty-client

9.4.46.v20220331

org.eclipse.jetty

jetty-continuation

9.4.46.v20220331

org.eclipse.jetty

jetty-http

9.4.46.v20220331

org.eclipse.jetty

jetty-io

9.4.46.v20220331

org.eclipse.jetty

jetty-jndi

9.4.46.v20220331

org.eclipse.jetty

jetty-plus

9.4.46.v20220331

org.eclipse.jetty

jetty-proxy

9.4.46.v20220331

org.eclipse.jetty

jetty-security

9.4.46.v20220331

org.eclipse.jetty

jetty-server

9.4.46.v20220331

org.eclipse.jetty

jetty-servlet

9.4.46.v20220331

org.eclipse.jetty

jetty-servlets

9.4.46.v20220331

org.eclipse.jetty

jetty-util

9.4.46.v20220331

org.eclipse.jetty

jetty-util-ajax

9.4.46.v20220331

org.eclipse.jetty

jetty-webapp

9.4.46.v20220331

org.eclipse.jetty

jetty-xml

9.4.46.v20220331

org.eclipse.jetty.websocket

websocket-api

9.4.46.v20220331

org.eclipse.jetty.websocket

websocket-client

9.4.46.v20220331

org.eclipse.jetty.websocket

websocket-common

9.4.46.v20220331

org.eclipse.jetty.websocket

websocket-server

9.4.46.v20220331

org.eclipse.jetty.websocket

websocket-servlet

9.4.46.v20220331

org.fusesource.leveldbjni

leveldbjni-all

1.8

org.glassfish.hk2

hk2-api

2.6.1

org.glassfish.hk2

hk2-locator

2.6.1

org.glassfish.hk2

hk2-utils

2.6.1

org.glassfish.hk2

osgi-resource-locator

1.0.3

org.glassfish.hk2.external

aopalliance-repackaged

2.6.1

org.glassfish.hk2.external

jakarta.inject

2.6.1

org.glassfish.jersey.containers

jersey-container-servlet

2.34

org.glassfish.jersey.containers

jersey-container-servlet-core

2.34

org.glassfish.jersey.core

jersey-client

2.34

org.glassfish.jersey.core

jersey-common

2.34

org.glassfish.jersey.core

jersey-server

2.34

org.glassfish.jersey.inject

jersey-hk2

2.34

org.hibernate.validator

hibernate-validator

6.1.0.Final

org.javassist

javassist

3.25.0-GA

org.jboss.logging

jboss-logging

3.3.2.Final

org.jdbi

jdbi

2.63.1

org.jetbrains

annotations

17.0.0

org.joda

joda-convert

1.7

org.jodd

jodd-core

3.5.2

org.json4s

json4s-ast_2.12

3.7.0-M11

org.json4s

json4s-core_2.12

3.7.0-M11

org.json4s

json4s-jackson_2.12

3.7.0-M11

org.json4s

json4s-scalap_2.12

3.7.0-M11

org.lz4

lz4-java

1.8.0

org.mariadb.jdbc

mariadb-java-client

2.7.4

org.mlflow

mlflow-spark

1.27.0

org.objenesis

objenesis

2.5.1

org.postgresql

postgresql

42.3.3

org.roaringbitmap

RoaringBitmap

0.9.25

org.roaringbitmap

shims

0.9.25

org.rocksdb

rocksdbjni

6.24.2

org.rosuda.REngine

REngine

2.1.0

org.scala-lang

scala-compiler_2.12

2.12.14

org.scala-lang

scala-library_2.12

2.12.14

org.scala-lang

scala-reflect_2.12

2.12.14

org.scala-lang.modules

scala-collection-compat_2.12

2.4.3

org.scala-lang.modules

scala-parser-combinators_2.12

1.1.2

org.scala-lang.modules

scala-xml_2.12

1.2.0

org.scala-sbt

test-interface

1.0

org.scalacheck

scalacheck_2.12

1.14.2

org.scalactic

scalactic_2.12

3.0.8

org.scalanlp

breeze-macros_2.12

1.2

org.scalanlp

breeze_2.12

1.2

org.scalatest

scalatest_2.12

3.0.8

org.slf4j

jcl-over-slf4j

1.7.36

org.slf4j

jul-to-slf4j

1.7.36

org.slf4j

slf4j-api

1.7.36

org.spark-project.spark

unused

1.0.0

org.threeten

threeten-extra

1.5.0

org.tukaani

xz

1.8

org.typelevel

algebra_2.12

2.0.1

org.typelevel

cats-kernel_2.12

2.1.1

org.typelevel

macro-compat_2.12

1.1.1

org.typelevel

spire-macros_2.12

0.17.0

org.typelevel

spire-platform_2.12

0.17.0

org.typelevel

spire-util_2.12

0.17.0

org.typelevel

spire_2.12

0.17.0

org.wildfly.openssl

wildfly-openssl

1.0.7.Final

org.xerial

sqlite-jdbc

3.8.11.2

org.xerial.snappy

snappy-java

1.1.8.4

org.yaml

snakeyaml

1.24

oro

oro

2.0.8

pl.edu.icm

JLargeArrays

1.5

software.amazon.ion

ion-java

1.0.2

stax

stax-api

1.0.1