Databricks Runtime 15.3

The following release notes provide information about Databricks Runtime 15.3, powered by Apache Spark 3.5.0.

Databricks released these images in June 2024.

New features and improvements

PySpark DataSources now support stream reading and writing

PySpark DataSources, which enable reading from custom data sources and writing to custom data sinks, now support stream reading and writing. See PySpark custom data sources.

Disable column mapping with drop feature

You can now use DROP FEATURE to disable column mapping on Delta tables and downgrade the table protocol. See Disable column mapping.

Variant type syntax and functions in Public Preview

Native Apache Spark support for working with semi-structured data as VARIANT type is now available in Spark DataFrames and SQL. See Query variant data.

Variant type support for Delta Lake in Public Preview

You can now use VARIANT to store semi-structured data in tables backed by Delta Lake. See Variant support in Delta Lake.

Support for different modes of schema evolution in views

CREATE VIEW and ALTER VIEW now allows you to set a schema binding mode, enhancing how views handle schema changes in underlying objects. This feature enables views to either tolerate or adapt to schema changes in the underlying objects. It addresses changes in the query schema resulting from modifications to object definitions.

Support for observe() methods added to the Spark Connect Scala client

The Spark Connect Scala client now supports the Dataset.observe() methods. Support for these methods allows you to define metrics to observe on a Dataset object using the ds.observe("name", metrics...) or ds.observe(observationObject, metrics...) methods.

Improved stream restart latency for Auto Loader

This release includes a change that improves the stream restart latency for Auto Loader. This improvement is implemented by making the loading of state by the RocksDB state store asynchronous. With this change, you should see an improvement in start times for streams with large states, for example, streams with a large number of already ingested files.

Return a DataFrame as a pyarrow.Table

To support writing a DataFrame directly to an Apache Arrow pyarrow.Table object, this release includes the DataFrame.toArrow() function. To learn more about using Arrow in PySpark, see Apache Arrow in PySpark.

Performance improvement for some window functions

This release includes a change that improves the performance of some Spark window functions, specifically functions that do not include an ORDER BY clause or a window_frame parameter. In these cases, the system can rewrite the query to run it using an aggregate function. This change allows the query to run faster by using partial aggregation and avoiding the overhead of running window functions. The Spark configuration parameter spark.databricks.optimizer.replaceWindowsWithAggregates.enabled controls this optimization and is set to true by default. To turn this optimization off, set spark.databricks.optimizer.replaceWindowsWithAggregates.enabled to false.

Support for the try_remainder function added

This release adds support for the PySpark try_remainder() function. This function supports the ANSI SQL-compatible calculation of the integer remainder from dividing two numeric values. If the divisor argument is 0, the try_remainder() function returns null instead of throwing an exception. You can use the try_remainder() function instead of mod or %, which throw an exception if the divisor argument is 0 and ANSI SQL is enabled.

Bug fixes

WriteIntoDeltaCommand metrics in the Spark UI now display correctly

This release includes a fix to the metrics displayed in the SQL tab of the Spark UI for the Execute WriteIntoDeltaCommand node. Previously, the metrics shown for this node were all zero.

The groupby() function in the Pandas API ignored the as_index=False argument

This release includes a fix for an issue with the groupby() function in the Pandas API on Spark. Before this fix, a groupby() with relabeling of aggregate columns and the as_index=False argument did not include group keys in the resulting DataFrame.

Parsing error with multiple window functions that reference output from the other functions

This release fixes an issue that might occur when a Spark query has multiple consecutive window functions, where the window functions reference output from the other window functions. In rare cases, the system might drop one of the references, leading to errors in evaluating the query. This fix projects these references to ensure query evaluation. This change is controlled by the Spark configuration parameter spark.databricks.optimizer.collapseWindows.projectReferences, which is set to true by default. To turn off this change, set spark.databricks.optimizer.collapseWindows.projectReferences to false.

Library upgrades

  • Upgraded Python libraries:

    • filelock from 3.13.1 to 3.13.4

  • Upgraded R libraries:

  • Upgraded Java libraries:

    • org.rocksdb.rocksdbjni from 8.3.2 to 8.11.4

Apache Spark

Databricks Runtime 15.3 includes Apache Spark 3.5.0. This release includes all Spark fixes and improvements included in Databricks Runtime 15.2, as well as the following additional bug fixes and improvements made to Spark:

  • [SPARK-48288] [SC-166141] Add source data type for connector cast expression

  • [SPARK-48175] [SC-166341][SQL][PYTHON] Store collation information in metadata and not in type for SER/DE

  • [SPARK-48172] [SC-166078][SQL] Fix escaping issues in JDBCDialects

  • [SPARK-48186] [SC-165544][SQL] Add support for AbstractMapType

  • [SPARK-48031] [SC-166523] Grandfather legacy views to SCHEMA BINDING

  • [SPARK-48369] [SC-166566][SQL][PYTHON][CONNECT] Add function timestamp_add

  • [SPARK-48330] [SC-166458][SS][PYTHON] Fix the python streaming data source timeout issue for large trigger interval

  • [SPARK-48369] Revert “[SC-166494][SQL][PYTHON][CONNECT] Add function timestamp_add”

  • [SPARK-48336] [SC-166495][PS][CONNECT] Implement ps.sql in Spark Connect

  • [SPARK-48369] [SC-166494][SQL][PYTHON][CONNECT] Add function timestamp_add

  • [SPARK-47354] [SC-165546][SQL] Add collation support for variant expressions

  • [SPARK-48161] [SC-165325][SQL] Fix reverted PR - Add collation support for JSON expressions

  • [SPARK-48031] [SC-166391] Decompose viewSchemaMode config, add SHOW CREATE TABLE support

  • [SPARK-48268] [SC-166217][CORE] Add a configuration for SparkContext.setCheckpointDir

  • [SPARK-48312] [ES-1076198][SQL] Improve Alias.removeNonInheritableMetadata performance

  • [SPARK-48294] [SC-166205][SQL] Handle lowercase in nestedTypeMissingElementTypeError

  • [SPARK-47254] [SC-158847][SQL] Assign names to the error classes LEGACYERROR_TEMP_325[1-9]

  • [SPARK-47255] [SC-158749][SQL] Assign names to the error classes LEGACYERROR_TEMP_323[6-7] and LEGACYERROR_TEMP_324[7-9]

  • [SPARK-48310] [SC-166239][PYTHON][CONNECT] Cached properties must return copies

  • [SPARK-48308] [SC-166152][Core] Unify getting data schema without partition columns in FileSourceStrategy

  • [SPARK-48301] [SC-166143][SQL] Rename CREATE_FUNC_WITH_IF_NOT_EXISTS_AND_REPLACE to CREATE_ROUTINE_WITH_IF_NOT_EXISTS_AND_REPLACE

  • [SPARK-48287] [SC-166139][PS][CONNECT] Apply the builtin timestamp_diff method

  • [SPARK-47607] [SC-166129] Add documentation for Structured logging framework

  • [SPARK-48297] [SC-166136][SQL] Fix a regression TRANSFORM clause with char/varchar

  • [SPARK-47045] [SC-156808][SQL] Replace IllegalArgumentException by SparkIllegalArgumentException in sql/api

  • [SPARK-46991] [SC-156399][SQL] Replace IllegalArgumentException by SparkIllegalArgumentException in catalyst

  • [SPARK-48031] [SC-165805][SQL] Support view schema evolution

  • [SPARK-48276] [SC-166116][PYTHON][CONNECT] Add the missing __repr__ method for SQLExpression

  • [SPARK-48278] [SC-166071][PYTHON][CONNECT] Refine the string representation of Cast

  • [SPARK-48272] [SC-166069][SQL][PYTHON][CONNECT] Add function timestamp_diff

  • [SPARK-47798] [SC-162492][SQL] Enrich the error message for the reading failures of decimal values

  • [SPARK-47158] [SC-158078][SQL] Assign proper name and sqlState to _LEGACY_ERROR_TEMP_(2134|2231)

  • [SPARK-48218] [SC-166082][CORE] TransportClientFactory.createClient may NPE cause FetchFailedException

  • [SPARK-48277] [SC-166066] Improve error message for ErrorClassesJsonReader.getErrorMessage

  • [SPARK-47545] [SC-165444][CONNECT] Dataset observe support for the Scala client

  • [SPARK-41794] [SC-165838][SQL] Add try_remainder function and re-enable column tests

  • [SPARK-43258] [SC-158151][SQL] Assign names to error LEGACYERROR_TEMP_202[3,5]

  • [SPARK-48267] [SC-165903][SS] Regression e2e test with SPARK-47305

  • [SPARK-48263] [SC-165925] Collate function support for non UTF8_BINARY strings

  • [SPARK-48260] [SC-165883][SQL] Disable output committer coordination in one test of ParquetIOSuite

  • [SPARK-47834] [SC-165645][SQL][CONNECT] Mark deprecated functions with @deprecated in SQLImplicits

  • [SPARK-48011] [SC-164061][Core] Store LogKey name as a value to avoid generating new string instances

  • [SPARK-48074] [SC-164647][Core] Improve the readability of JSON loggings

  • [SPARK-44953] [SC-165866][CORE] Log a warning when shuffle tracking is enabled along side another DA supported mechanism

  • [SPARK-48266] [SC-165897][CONNECT] Move package object org.apache.spark.sql.connect.dsl to test directory

  • [SPARK-47847] [SC-165651][CORE] Deprecate spark.network.remoteReadNioBufferConversion

  • [SPARK-48171] [SC-165178][CORE] Clean up the use of deprecated constructors of o.rocksdb.Logger

  • [SPARK-48235] [SC-165669][SQL] Directly pass join instead of all arguments to getBroadcastBuildSide and getShuffleHashJoinBuildSide

  • [SPARK-48224] [SC-165648][SQL] Disallow map keys from being of variant type

  • [SPARK-48248] [SC-165791][PYTHON] Fix nested array to respect legacy conf of inferArrayTypeFromFirstElement

  • [SPARK-47409] [SC-165568][SQL] Add support for collation for StringTrim type of functions/expressions (for UTF8_BINARY & LCASE)

  • [SPARK-48143] [ES-1095638][SQL] Use lightweight exceptions for control-flow between UnivocityParser and FailureSafeParser

  • [SPARK-48146] [SC-165668][SQL] Fix aggregate function in With expression child assertion

  • [SPARK-48161] Revert “[SC-165325][SQL] Add collation support for JSON expressions”

  • [SPARK-47963] [CORE] Make the external Spark ecosystem can use structured logging mechanisms

  • [SPARK-48180] [SC-165632][SQL] Improve error when UDTF call with TABLE arg forgets parentheses around multiple PARTITION/ORDER BY exprs

  • [SPARK-48002] [SC-164132][PYTHON][SS] Add test for observed metrics in PySpark StreamingQueryListener

  • [SPARK-47421] [SC-165548][SQL] Add collation support for URL expressions

  • [SPARK-48161] [SC-165325][SQL] Add collation support for JSON expressions

  • [SPARK-47359] [SC-164328][SQL] Support TRANSLATE function to work with collated strings

  • [SPARK-47365] [SC-165643][PYTHON] Add toArrow() DataFrame method to PySpark

  • [SPARK-48228] [SC-165649][PYTHON][CONNECT] Implement the missing function validation in ApplyInXXX

  • [SPARK-47986] [SC-165549][CONNECT][PYTHON] Unable to create a new session when the default session is closed by the server

  • [SPARK-47963] Revert “[CORE] Make the external Spark ecosystem can use structured logging mechanisms “

  • [SPARK-47963] [CORE] Make the external Spark ecosystem can use structured logging mechanisms

  • [SPARK-48208] [SC-165547][SS] Skip providing memory usage metrics from RocksDB if bounded memory usage is enabled

  • [SPARK-47566] [SC-164314][SQL] Support SubstringIndex function to work with collated strings

  • [SPARK-47589] [SC-162127][SQL]Hive-Thriftserver: Migrate logError with variables to structured logging framework

  • [SPARK-48205] [SC-165501][PYTHON] Remove the private[sql] modifier for Python data sources

  • [SPARK-48173] [SC-165181][SQL] CheckAnalysis should see the entire query plan

  • [SPARK-48197] [SC-165520][SQL] Avoid assert error for invalid lambda function

  • [SPARK-47318] [SC-162573][CORE] Adds HKDF round to AuthEngine key derivation to follow standard KEX practices

  • [SPARK-48184] [SC-165335][PYTHON][CONNECT] Always set the seed of Dataframe.sample in Client side

  • [SPARK-48128] [SC-165004][SQL] For BitwiseCount / bit_count expression, fix codegen syntax error for boolean type inputs

  • [SPARK-48147] [SC-165144][SS][CONNECT] Remove client side listeners when local Spark session is deleted

  • [SPARK-48045] [SC-165299][PYTHON] Pandas API groupby with multi-agg-relabel ignores as_index=False

  • [SPARK-48191] [SC-165323][SQL] Support UTF-32 for string encode and decode

  • [SPARK-45352] [SC-137627][SQL] Eliminate foldable window partitions

  • [SPARK-47297] [SC-165179][SQL] Add collation support for format expressions

  • [SPARK-47267] [SC-165170][SQL] Add collation support for hash expressions

  • [SPARK-47965] [SC-163822][CORE] Avoid orNull in TypedConfigBuilder and OptionalConfigEntry

  • [SPARK-48166] [SQL] Avoid using BadRecordException as user-facing error in VariantExpressionEvalUtils

  • [SPARK-48105] [SC-165132][SS] Fix the race condition between state store unloading and snapshotting

  • [SPARK-47922] [SC-163997][SQL] Implement the try_parse_json expression

  • [SPARK-47719] [SC-161909][SQL] Change spark.sql.legacy.timeParse…

  • [SPARK-48035] [SC-165136][SQL] Fix try_add/try_multiply being semantic equal to add/multiply

  • [SPARK-48107] [SC-164878][PYTHON] Exclude tests from Python distribution

  • [SPARK-46894] [SC-164447][PYTHON] Move PySpark error conditions into standalone JSON file

  • [SPARK-47583] [SC-163825][CORE] SQL core: Migrate logError with variables to structured logging framework

  • [SPARK-48064] Revert “[SC-164697][SQL] Update error messages for routine related error classes”

  • [SPARK-48048] [SC-164846][CONNECT][SS] Added client side listener support for Scala

  • [SPARK-48064] [SC-164697][SQL] Update error messages for routine related error classes

  • [SPARK-48056] [SC-164715][CONNECT][PYTHON] Re-execute plan if a SESSION_NOT_FOUND error is raised and no partial response was received

  • [SPARK-48124] [SC-165009][CORE] Disable structured logging for Connect-Repl by default

  • [SPARK-47922] Revert “[SC-163997][SQL] Implement the try_parse_json expression”

  • [SPARK-48065] [SC-164817][SQL] SPJ: allowJoinKeysSubsetOfPartitionKeys is too strict

  • [SPARK-48114] [SC-164956][CORE] Precompile template regex to avoid unnecessary work

  • [SPARK-48067] [SC-164773][SQL] Fix variant default columns

  • [SPARK-47922] [SC-163997][SQL] Implement the try_parse_json expression

  • [SPARK-48075] [SC-164709] [SS] Add type checking for PySpark avro functions

  • [SPARK-47793] [SC-164324][SS][PYTHON] Implement SimpleDataSourceStreamReader for python streaming data source

  • [SPARK-48081] [SC-164719] Fix ClassCastException in NTile.checkInputDataTypes() when argument is non-foldable or of wrong type

  • [SPARK-48102] [SC-164853][SS] Track duration for acquiring source/sink metrics while reporting streaming query progress

  • [SPARK-47671] [SC-164854][Core] Enable structured logging in log4j2.properties.template and update docs

  • [SPARK-47904] [SC-163409][SQL] Preserve case in Avro schema when using enableStableIdentifiersForUnionType

  • [SPARK-48058] [SC-164695][SPARK-43727][PYTHON][CONNECT] UserDefinedFunction.returnType parse the DDL string

  • [SPARK-46922] [SC-156102][CORE][SQL] Do not wrap runtime user-facing errors

  • [SPARK-48047] [SC-164576][SQL] Reduce memory pressure of empty TreeNode tags

  • [SPARK-47934] [SC-164648] [CORE] Ensure trailing slashes in HistoryServer URL redirections

  • [SPARK-47921] [SC-163826][CONNECT] Fix ExecuteJobTag creation in ExecuteHolder

  • [SPARK-48014] [SC-164150][SQL] Change the makeFromJava error in EvaluatePython to a user-facing error

  • [SPARK-47903] [SC-163424][PYTHON] Add support for remaining scalar types in the PySpark Variant library

  • [SPARK-48068] [SC-164579][PYTHON] mypy should have --python-executable parameter

  • [SPARK-47846] [SC-163074][SQL] Add support for Variant type in from_json expression

  • [SPARK-48050] [SC-164322][SS] Log logical plan at query start

  • [SPARK-47810] [SC-163076][SQL] Replace equivalent expression to <=> in join condition

  • [SPARK-47741] [SC-164290] Added stack overflow handling in parser

  • [SPARK-48053] [SC-164309][PYTHON][CONNECT] SparkSession.createDataFrame should warn for unsupported options

  • [SPARK-47939] [SC-164171][SQL] Implement a new Analyzer rule to move ParameterizedQuery inside ExplainCommand and DescribeQueryCommand

  • [SPARK-48063] [SC-164432][CORE] Enable spark.stage.ignoreDecommissionFetchFailure by default

  • [SPARK-48016] [SC-164280][SQL] Fix a bug in try_divide function when with decimals

  • [SPARK-48033] [SC-164291][SQL] Fix RuntimeReplaceable expressions being used in default columns

  • [SPARK-48010] [SC-164051][SQL][ES-1109148] Avoid repeated calls to conf.resolver in resolveExpression

  • [SPARK-48003] [SC-164323][SQL] Add collation support for hll sketch aggregate

  • [SPARK-47994] [SC-164175][SQL] Fix bug with CASE WHEN column filter push down in SQLServer

  • [SPARK-47984] [SC-163837][ML][SQL] Change MetricsAggregate/V2Aggregator#serialize/deserialize to call SparkSerDeUtils#serialize/deserialize

  • [SPARK-48042] [SC-164202][SQL] Use a timestamp formatter with timezone at class level instead of making copies at method level

  • [SPARK-47596] [SPARK-47600][SPARK-47604][SPARK-47804] Structured log migrations

  • [SPARK-47594] [SPARK-47590][SPARK-47588][SPARK-47584] Structured log migrations

  • [SPARK-47567] [SC-164172][SQL] Support LOCATE function to work with collated strings

  • [SPARK-47764] [SC-163820][CORE][SQL] Cleanup shuffle dependencies based on ShuffleCleanupMode

  • [SPARK-48039] [SC-164174][PYTHON][CONNECT] Update the error class for group.apply

  • [SPARK-47414] [SC-163831][SQL] Lowercase collation support for regexp expressions

  • [SPARK-47418] [SC-163818][SQL] Add hand-crafted implementations for lowercase unicode-aware contains, startsWith and endsWith and optimize UTF8_BINARY_LCASE

  • [SPARK-47580] [SC-163834][SQL] SQL catalyst: eliminate unnamed variables in error logs

  • [SPARK-47351] [SC-164008][SQL] Add collation support for StringToMap & Mask string expressions

  • [SPARK-47292] [SC-164151][SS] safeMapToJValue should consider null typed values

  • [SPARK-47476] [SC-164014][SQL] Support REPLACE function to work with collated strings

  • [SPARK-47408] [SC-164104][SQL] Fix mathExpressions that use StringType

  • [SPARK-47350] [SC-164006][SQL] Add collation support for SplitPart string expression

  • [SPARK-47692] [SC-163819][SQL] Fix default StringType meaning in implicit casting

  • [SPARK-47094] [SC-161957][SQL] SPJ : Dynamically rebalance number of buckets when they are not equal

  • [SPARK-48001] [SC-164000][CORE] Remove unused private implicit def arrayToArrayWritable from SparkContext

  • [SPARK-47986] [SC-163999][CONNECT][PYTHON] Unable to create a new session when the default session is closed by the server

  • [SPARK-48019] [SC-164121] Fix incorrect behavior in ColumnVector/ColumnarArray with dictionary and nulls

  • [SPARK-47743] [SPARK-47592][SPARK-47589][SPARK-47581][SPARK-47586][SPARK-47593][SPARK-47595][SPARK-47587][SPARK-47603] Structured log migrations

  • [SPARK-47999] [SC-163998][SS] Improve logging around snapshot creation and adding/removing entries from state cache map in HDFS backed state store provider

  • [SPARK-47417] [SC-162872][SQL] Collation support: Ascii, Chr, Base64, UnBase64, Decode, StringDecode, Encode, ToBinary, FormatNumber, Sentences

  • [SPARK-47712] [SC-161871][CONNECT] Allow connect plugins to create and process Datasets

  • [SPARK-47411] [SC-163351][SQL] Support StringInstr & FindInSet functions to work with collated strings

  • [SPARK-47360] [SC-163014][SQL] Collation support: Overlay, FormatString, Length, BitLength, OctetLength, SoundEx, Luhncheck

  • [SPARK-47413] [SC-163323][SQL] - add support to substr/left/right for collations

  • [SPARK-47983] [SC-163835][SQL] Demote spark.sql.pyspark.legacy.inferArrayTypeFromFirstElement.enabled to internal

  • [SPARK-47964] [SC-163816][PYTHON][CONNECT] Hide SQLContext and HiveContext in pyspark-connect

  • [SPARK-47985] [SC-163841][PYTHON] Simplify functions with lit

  • [SPARK-47633] [SC-163453][SQL] Include right-side plan output in LateralJoin#allAttributes for more consistent canonicalization

  • [SPARK-47909] Revert “[PYTHON][CONNECT] Parent DataFrame class f…

  • [SPARK-47767] [SC-163096][SQL] Show offset value in TakeOrderedAndProjectExec

  • [SPARK-47822] [SC-162968][SQL] Prohibit Hash Expressions from hashing the Variant Data Type

  • [SPARK-47490] [SC-160494][SS] Fix RocksDB Logger constructor use to avoid deprecation warning

  • [SPARK-47417] Revert “[SC-162872][SQL] Collation support: Ascii, Chr, Base64, UnBase64, Decode, StringDecode, Encode, ToBinary, FormatNumber, Sentences”

  • [SPARK-47352] [SC-163460][SQL] Fix Upper, Lower, InitCap collation awareness

  • [SPARK-47909] [PYTHON][CONNECT] Parent DataFrame class for Spark Connect and Spark Classic

  • [SPARK-47417] [SC-162872][SQL] Collation support: Ascii, Chr, Base64, UnBase64, Decode, StringDecode, Encode, ToBinary, FormatNumber, Sentences

Databricks ODBC/JDBC driver support

Databricks supports ODBC/JDBC drivers released in the past 2 years. Please download the recently released drivers and upgrade (download ODBC, download JDBC).

System environment

  • Operating System: Ubuntu 22.04.4 LTS

  • Java: Zulu 8.78.0.19-CA-linux64

  • Scala: 2.12.18

  • Python: 3.11.0

  • R: 4.3.2

  • Delta Lake: 3.2.0

Installed Python libraries

Library

Version

Library

Version

Library

Version

asttokens

2.0.5

astunparse

1.6.3

azure-core

1.30.1

azure-storage-blob

12.19.1

azure-storage-file-datalake

12.14.0

backcall

0.2.0

black

23.3.0

blinker

1.4

boto3

1.34.39

botocore

1.34.39

cachetools

5.3.3

certifi

2023.7.22

cffi

1.15.1

chardet

4.0.0

charset-normalizer

2.0.4

click

8.0.4

cloudpickle

2.2.1

comm

0.1.2

contourpy

1.0.5

cryptography

41.0.3

cycler

0.11.0

Cython

0.29.32

databricks-sdk

0.20.0

dbus-python

1.2.18

debugpy

1.6.7

decorator

5.1.1

distlib

0.3.8

entrypoints

0.4

executing

0.8.3

facets-overview

1.1.1

filelock

3.13.4

fonttools

4.25.0

gitdb

4.0.11

GitPython

3.1.43

google-api-core

2.18.0

google-auth

2.29.0

google-cloud-core

2.4.1

google-cloud-storage

2.16.0

google-crc32c

1.5.0

google-resumable-media

2.7.0

googleapis-common-protos

1.63.0

grpcio

1.60.0

grpcio-status

1.60.0

httplib2

0.20.2

idna

3.4

importlib-metadata

6.0.0

ipyflow-core

0.0.198

ipykernel

6.25.1

ipython

8.15.0

ipython-genutils

0.2.0

ipywidgets

7.7.2

isodate

0.6.1

jedi

0.18.1

jeepney

0.7.1

jmespath

0.10.0

joblib

1.2.0

jupyter_client

7.4.9

jupyter_core

5.3.0

keyring

23.5.0

kiwisolver

1.4.4

launchpadlib

1.10.16

lazr.restfulclient

0.14.4

lazr.uri

1.0.6

matplotlib

3.7.2

matplotlib-inline

0.1.6

mlflow-skinny

2.11.3

more-itertools

8.10.0

mypy-extensions

0.4.3

nest-asyncio

1.5.6

numpy

1.23.5

oauthlib

3.2.0

packaging

23.2

pandas

1.5.3

parso

0.8.3

pathspec

0.10.3

patsy

0.5.3

pexpect

4.8.0

pickleshare

0.7.5

Pillow

9.4.0

pip

23.2.1

platformdirs

3.10.0

plotly

5.9.0

prompt-toolkit

3.0.36

proto-plus

1.23.0

protobuf

4.24.1

psutil

5.9.0

psycopg2

2.9.3

ptyprocess

0.7.0

pure-eval

0.2.2

pyarrow

14.0.1

pyasn1

0.4.8

pyasn1-modules

0.2.8

pyccolo

0.0.52

pycparser

2.21

pydantic

1.10.6

Pygments

2.15.1

PyGObject

3.42.1

PyJWT

2.3.0

pyodbc

4.0.38

pyparsing

3.0.9

python-dateutil

2.8.2

python-lsp-jsonrpc

1.1.1

pytz

2022.7

PyYAML

6.0

pyzmq

23.2.0

requests

2.31.0

rsa

4.9

s3transfer

0.10.1

scikit-learn

1.3.0

scipy

1.11.1

seaborn

0.12.2

SecretStorage

3.3.1

setuptools

68.0.0

six

1.16.0

smmap

5.0.1

sqlparse

0.5.0

ssh-import-id

5.11

stack-data

0.2.0

statsmodels

0.14.0

tenacity

8.2.2

threadpoolctl

2.2.0

tokenize-rt

4.2.1

tornado

6.3.2

traitlets

5.7.1

typing_extensions

4.10.0

tzdata

2022.1

ujson

5.4.0

unattended-upgrades

0.1

urllib3

1.26.16

virtualenv

20.24.2

wadllib

1.3.6

wcwidth

0.2.5

wheel

0.38.4

zipp

3.11.0

Installed R libraries

R libraries are installed from the Posit Package Manager CRAN snapshot.

Library

Version

Library

Version

Library

Version

arrow

14.0.0.2

askpass

1.2.0

assertthat

0.2.1

backports

1.4.1

base

4.3.2

base64enc

0.1-3

bigD

0.2.0

bit

4.0.5

bit64

4.0.5

bitops

1.0-7

blob

1.2.4

boot

1.3-28

brew

1.0-10

brio

1.1.4

broom

1.0.5

bslib

0.6.1

cachem

1.0.8

callr

3.7.3

caret

6.0-94

cellranger

1.1.0

chron

2.3-61

class

7.3-22

cli

3.6.2

clipr

0.8.0

clock

0.7.0

cluster

2.1.4

codetools

0.2-19

colorspace

2.1-0

commonmark

1.9.1

compiler

4.3.2

config

0.3.2

conflicted

1.2.0

cpp11

0.4.7

crayon

1.5.2

credentials

2.0.1

curl

5.2.0

data.table

1.15.0

datasets

4.3.2

DBI

1.2.1

dbplyr

2.4.0

desc

1.4.3

devtools

2.4.5

diagram

1.6.5

diffobj

0.3.5

digest

0.6.34

downlit

0.4.3

dplyr

1.1.4

dtplyr

1.3.1

e1071

1.7-14

ellipsis

0.3.2

evaluate

0.23

fansi

1.0.6

farver

2.1.1

fastmap

1.1.1

fontawesome

0.5.2

forcats

1.0.0

foreach

1.5.2

foreign

0.8-85

forge

0.2.0

fs

1.6.3

future

1.33.1

future.apply

1.11.1

gargle

1.5.2

generics

0.1.3

gert

2.0.1

ggplot2

3.4.4

gh

1.4.0

git2r

0.33.0

gitcreds

0.1.2

glmnet

4.1-8

globals

0.16.2

glue

1.7.0

googledrive

2.1.1

googlesheets4

1.1.1

gower

1.0.1

graphics

4.3.2

grDevices

4.3.2

grid

4.3.2

gridExtra

2.3

gsubfn

0.7

gt

0.10.1

gtable

0.3.4

hardhat

1.3.1

haven

2.5.4

highr

0.10

hms

1.1.3

htmltools

0.5.7

htmlwidgets

1.6.4

httpuv

1.6.14

httr

1.4.7

httr2

1.0.0

ids

1.0.1

ini

0.3.1

ipred

0.9-14

isoband

0.2.7

iterators

1.0.14

jquerylib

0.1.4

jsonlite

1.8.8

juicyjuice

0.1.0

KernSmooth

2.23-21

knitr

1.45

labeling

0.4.3

later

1.3.2

lattice

0.21-8

lava

1.7.3

lifecycle

1.0.4

listenv

0.9.1

lubridate

1.9.3

magrittr

2.0.3

markdown

1.12

MASS

7.3-60

Matrix

1.5-4.1

memoise

2.0.1

methods

4.3.2

mgcv

1.8-42

mime

0.12

miniUI

0.1.1.1

mlflow

2.10.0

ModelMetrics

1.2.2.2

modelr

0.1.11

munsell

0.5.0

nlme

3.1-163

nnet

7.3-19

numDeriv

2016.8-1.1

openssl

2.1.1

parallel

4.3.2

parallelly

1.36.0

pillar

1.9.0

pkgbuild

1.4.3

pkgconfig

2.0.3

pkgdown

2.0.7

pkgload

1.3.4

plogr

0.2.0

plyr

1.8.9

praise

1.0.0

prettyunits

1.2.0

pROC

1.18.5

processx

3.8.3

prodlim

2023.08.28

profvis

0.3.8

progress

1.2.3

progressr

0.14.0

promises

1.2.1

proto

1.0.0

proxy

0.4-27

ps

1.7.6

purrr

1.0.2

R6

2.5.1

ragg

1.2.7

randomForest

4.7-1.1

rappdirs

0.3.3

rcmdcheck

1.4.0

RColorBrewer

1.1-3

Rcpp

1.0.12

RcppEigen

0.3.3.9.4

reactable

0.4.4

reactR

0.5.0

readr

2.1.5

readxl

1.4.3

recipes

1.0.9

rematch

2.0.0

rematch2

2.1.2

remotes

2.4.2.1

reprex

2.1.0

reshape2

1.4.4

rlang

1.1.3

rmarkdown

2.25

RODBC

1.3-23

roxygen2

7.3.1

rpart

4.1.21

rprojroot

2.0.4

Rserve

1.8-13

RSQLite

2.3.5

rstudioapi

0.15.0

rversions

2.1.2

rvest

1.0.3

sass

0.4.8

scales

1.3.0

selectr

0.4-2

sessioninfo

1.2.2

shape

1.4.6

shiny

1.8.0

sourcetools

0.1.7-1

sparklyr

1.8.4

spatial

7.3-15

splines

4.3.2

sqldf

0.4-11

SQUAREM

2021.1

stats

4.3.2

stats4

4.3.2

stringi

1.8.3

stringr

1.5.1

survival

3.5-5

swagger

3.33.1

sys

3.4.2

systemfonts

1.0.5

tcltk

4.3.2

testthat

3.2.1

textshaping

0.3.7

tibble

3.2.1

tidyr

1.3.1

tidyselect

1.2.0

tidyverse

2.0.0

timechange

0.3.0

timeDate

4032.109

tinytex

0.49

tools

4.3.2

tzdb

0.4.0

urlchecker

1.0.1

usethis

2.2.2

utf8

1.2.4

utils

4.3.2

uuid

1.2-0

V8

4.4.1

vctrs

0.6.5

viridisLite

0.4.2

vroom

1.6.5

waldo

0.5.2

whisker

0.4.1

withr

3.0.0

xfun

0.41

xml2

1.3.6

xopen

1.0.0

xtable

1.8-4

yaml

2.3.8

zeallot

0.1.0

zip

2.3.1

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

1.12.610

com.amazonaws

aws-java-sdk-cloudformation

1.12.610

com.amazonaws

aws-java-sdk-cloudfront

1.12.610

com.amazonaws

aws-java-sdk-cloudhsm

1.12.610

com.amazonaws

aws-java-sdk-cloudsearch

1.12.610

com.amazonaws

aws-java-sdk-cloudtrail

1.12.610

com.amazonaws

aws-java-sdk-cloudwatch

1.12.610

com.amazonaws

aws-java-sdk-cloudwatchmetrics

1.12.610

com.amazonaws

aws-java-sdk-codedeploy

1.12.610

com.amazonaws

aws-java-sdk-cognitoidentity

1.12.610

com.amazonaws

aws-java-sdk-cognitosync

1.12.610

com.amazonaws

aws-java-sdk-config

1.12.610

com.amazonaws

aws-java-sdk-core

1.12.610

com.amazonaws

aws-java-sdk-datapipeline

1.12.610

com.amazonaws

aws-java-sdk-directconnect

1.12.610

com.amazonaws

aws-java-sdk-directory

1.12.610

com.amazonaws

aws-java-sdk-dynamodb

1.12.610

com.amazonaws

aws-java-sdk-ec2

1.12.610

com.amazonaws

aws-java-sdk-ecs

1.12.610

com.amazonaws

aws-java-sdk-efs

1.12.610

com.amazonaws

aws-java-sdk-elasticache

1.12.610

com.amazonaws

aws-java-sdk-elasticbeanstalk

1.12.610

com.amazonaws

aws-java-sdk-elasticloadbalancing

1.12.610

com.amazonaws

aws-java-sdk-elastictranscoder

1.12.610

com.amazonaws

aws-java-sdk-emr

1.12.610

com.amazonaws

aws-java-sdk-glacier

1.12.610

com.amazonaws

aws-java-sdk-glue

1.12.610

com.amazonaws

aws-java-sdk-iam

1.12.610

com.amazonaws

aws-java-sdk-importexport

1.12.610

com.amazonaws

aws-java-sdk-kinesis

1.12.610

com.amazonaws

aws-java-sdk-kms

1.12.610

com.amazonaws

aws-java-sdk-lambda

1.12.610

com.amazonaws

aws-java-sdk-logs

1.12.610

com.amazonaws

aws-java-sdk-machinelearning

1.12.610

com.amazonaws

aws-java-sdk-opsworks

1.12.610

com.amazonaws

aws-java-sdk-rds

1.12.610

com.amazonaws

aws-java-sdk-redshift

1.12.610

com.amazonaws

aws-java-sdk-route53

1.12.610

com.amazonaws

aws-java-sdk-s3

1.12.610

com.amazonaws

aws-java-sdk-ses

1.12.610

com.amazonaws

aws-java-sdk-simpledb

1.12.610

com.amazonaws

aws-java-sdk-simpleworkflow

1.12.610

com.amazonaws

aws-java-sdk-sns

1.12.610

com.amazonaws

aws-java-sdk-sqs

1.12.610

com.amazonaws

aws-java-sdk-ssm

1.12.610

com.amazonaws

aws-java-sdk-storagegateway

1.12.610

com.amazonaws

aws-java-sdk-sts

1.12.610

com.amazonaws

aws-java-sdk-support

1.12.610

com.amazonaws

aws-java-sdk-swf-libraries

1.11.22

com.amazonaws

aws-java-sdk-workspaces

1.12.610

com.amazonaws

jmespath-java

1.12.610

com.clearspring.analytics

stream

2.9.6

com.databricks

Rserve

1.8-3

com.databricks

databricks-sdk-java

0.17.1

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

2.15.2

com.fasterxml.jackson.core

jackson-core

2.15.2

com.fasterxml.jackson.core

jackson-databind

2.15.2

com.fasterxml.jackson.dataformat

jackson-dataformat-cbor

2.15.2

com.fasterxml.jackson.dataformat

jackson-dataformat-yaml

2.15.2

com.fasterxml.jackson.datatype

jackson-datatype-joda

2.15.2

com.fasterxml.jackson.datatype

jackson-datatype-jsr310

2.16.0

com.fasterxml.jackson.module

jackson-module-paranamer

2.15.2

com.fasterxml.jackson.module

jackson-module-scala_2.12

2.15.2

com.github.ben-manes.caffeine

caffeine

2.9.3

com.github.fommil

jniloader

1.1

com.github.fommil.netlib

native_ref-java

1.1

com.github.fommil.netlib

native_ref-java

1.1-natives

com.github.fommil.netlib

native_system-java

1.1

com.github.fommil.netlib

native_system-java

1.1-natives

com.github.fommil.netlib

netlib-native_ref-linux-x86_64

1.1-natives

com.github.fommil.netlib

netlib-native_system-linux-x86_64

1.1-natives

com.github.luben

zstd-jni

1.5.5-4

com.github.wendykierp

JTransforms

3.1

com.google.code.findbugs

jsr305

3.0.0

com.google.code.gson

gson

2.10.1

com.google.crypto.tink

tink

1.9.0

com.google.errorprone

error_prone_annotations

2.10.0

com.google.flatbuffers

flatbuffers-java

23.5.26

com.google.guava

guava

15.0

com.google.protobuf

protobuf-java

2.6.1

com.helger

profiler

1.1.1

com.ibm.icu

icu4j

72.1

com.jcraft

jsch

0.1.55

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.microsoft.sqlserver

mssql-jdbc

11.2.2.jre8

com.ning

compress-lzf

1.1.2

com.sun.mail

javax.mail

1.5.2

com.sun.xml.bind

jaxb-core

2.2.11

com.sun.xml.bind

jaxb-impl

2.2.11

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

1.4.3

com.typesafe.scala-logging

scala-logging_2.12

3.7.2

com.uber

h3

3.7.3

com.univocity

univocity-parsers

2.9.1

com.zaxxer

HikariCP

4.0.3

commons-cli

commons-cli

1.5.0

commons-codec

commons-codec

1.16.0

commons-collections

commons-collections

3.2.2

commons-dbcp

commons-dbcp

1.4

commons-fileupload

commons-fileupload

1.5

commons-httpclient

commons-httpclient

3.1

commons-io

commons-io

2.13.0

commons-lang

commons-lang

2.6

commons-logging

commons-logging

1.1.3

commons-pool

commons-pool

1.5.4

dev.ludovic.netlib

arpack

3.0.3

dev.ludovic.netlib

blas

3.0.3

dev.ludovic.netlib

lapack

3.0.3

info.ganglia.gmetric4j

gmetric4j

1.0.10

io.airlift

aircompressor

0.25

io.delta

delta-sharing-client_2.12

1.0.5

io.dropwizard.metrics

metrics-annotation

4.2.19

io.dropwizard.metrics

metrics-core

4.2.19

io.dropwizard.metrics

metrics-graphite

4.2.19

io.dropwizard.metrics

metrics-healthchecks

4.2.19

io.dropwizard.metrics

metrics-jetty9

4.2.19

io.dropwizard.metrics

metrics-jmx

4.2.19

io.dropwizard.metrics

metrics-json

4.2.19

io.dropwizard.metrics

metrics-jvm

4.2.19

io.dropwizard.metrics

metrics-servlets

4.2.19

io.netty

netty-all

4.1.96.Final

io.netty

netty-buffer

4.1.96.Final

io.netty

netty-codec

4.1.96.Final

io.netty

netty-codec-http

4.1.96.Final

io.netty

netty-codec-http2

4.1.96.Final

io.netty

netty-codec-socks

4.1.96.Final

io.netty

netty-common

4.1.96.Final

io.netty

netty-handler

4.1.96.Final

io.netty

netty-handler-proxy

4.1.96.Final

io.netty

netty-resolver

4.1.96.Final

io.netty

netty-tcnative-boringssl-static

2.0.61.Final-linux-aarch_64

io.netty

netty-tcnative-boringssl-static

2.0.61.Final-linux-x86_64

io.netty

netty-tcnative-boringssl-static

2.0.61.Final-osx-aarch_64

io.netty

netty-tcnative-boringssl-static

2.0.61.Final-osx-x86_64

io.netty

netty-tcnative-boringssl-static

2.0.61.Final-windows-x86_64

io.netty

netty-tcnative-classes

2.0.61.Final

io.netty

netty-transport

4.1.96.Final

io.netty

netty-transport-classes-epoll

4.1.96.Final

io.netty

netty-transport-classes-kqueue

4.1.96.Final

io.netty

netty-transport-native-epoll

4.1.96.Final

io.netty

netty-transport-native-epoll

4.1.96.Final-linux-aarch_64

io.netty

netty-transport-native-epoll

4.1.96.Final-linux-x86_64

io.netty

netty-transport-native-kqueue

4.1.96.Final-osx-aarch_64

io.netty

netty-transport-native-kqueue

4.1.96.Final-osx-x86_64

io.netty

netty-transport-native-unix-common

4.1.96.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.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

2.12.1

net.java.dev.jna

jna

5.8.0

net.razorvine

pickle

1.3

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.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

4.9.3

org.antlr

stringtemplate

3.2.1

org.apache.ant

ant

1.10.11

org.apache.ant

ant-jsch

1.10.11

org.apache.ant

ant-launcher

1.10.11

org.apache.arrow

arrow-format

15.0.0

org.apache.arrow

arrow-memory-core

15.0.0

org.apache.arrow

arrow-memory-netty

15.0.0

org.apache.arrow

arrow-vector

15.0.0

org.apache.avro

avro

1.11.3

org.apache.avro

avro-ipc

1.11.3

org.apache.avro

avro-mapred

1.11.3

org.apache.commons

commons-collections4

4.4

org.apache.commons

commons-compress

1.23.0

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

1.10.0

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.datasketches

datasketches-java

3.1.0

org.apache.datasketches

datasketches-memory

2.0.0

org.apache.derby

derby

10.14.2.0

org.apache.hadoop

hadoop-client-runtime

3.3.6

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

2.8.1

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

4.5.14

org.apache.httpcomponents

httpcore

4.4.16

org.apache.ivy

ivy

2.5.1

org.apache.logging.log4j

log4j-1.2-api

2.22.1

org.apache.logging.log4j

log4j-api

2.22.1

org.apache.logging.log4j

log4j-core

2.22.1

org.apache.logging.log4j

log4j-layout-template-json

2.22.1

org.apache.logging.log4j

log4j-slf4j2-impl

2.22.1

org.apache.orc

orc-core

1.9.2-shaded-protobuf

org.apache.orc

orc-mapreduce

1.9.2-shaded-protobuf

org.apache.orc

orc-shims

1.9.2

org.apache.thrift

libfb303

0.9.3

org.apache.thrift

libthrift

0.12.0

org.apache.ws.xmlschema

xmlschema-core

2.3.0

org.apache.xbean

xbean-asm9-shaded

4.23

org.apache.yetus

audience-annotations

0.13.0

org.apache.zookeeper

zookeeper

3.6.3

org.apache.zookeeper

zookeeper-jute

3.6.3

org.checkerframework

checker-qual

3.31.0

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.collections

eclipse-collections

11.1.0

org.eclipse.collections

eclipse-collections-api

11.1.0

org.eclipse.jetty

jetty-client

9.4.52.v20230823

org.eclipse.jetty

jetty-continuation

9.4.52.v20230823

org.eclipse.jetty

jetty-http

9.4.52.v20230823

org.eclipse.jetty

jetty-io

9.4.52.v20230823

org.eclipse.jetty

jetty-jndi

9.4.52.v20230823

org.eclipse.jetty

jetty-plus

9.4.52.v20230823

org.eclipse.jetty

jetty-proxy

9.4.52.v20230823

org.eclipse.jetty

jetty-security

9.4.52.v20230823

org.eclipse.jetty

jetty-server

9.4.52.v20230823

org.eclipse.jetty

jetty-servlet

9.4.52.v20230823

org.eclipse.jetty

jetty-servlets

9.4.52.v20230823

org.eclipse.jetty

jetty-util

9.4.52.v20230823

org.eclipse.jetty

jetty-util-ajax

9.4.52.v20230823

org.eclipse.jetty

jetty-webapp

9.4.52.v20230823

org.eclipse.jetty

jetty-xml

9.4.52.v20230823

org.eclipse.jetty.websocket

websocket-api

9.4.52.v20230823

org.eclipse.jetty.websocket

websocket-client

9.4.52.v20230823

org.eclipse.jetty.websocket

websocket-common

9.4.52.v20230823

org.eclipse.jetty.websocket

websocket-server

9.4.52.v20230823

org.eclipse.jetty.websocket

websocket-servlet

9.4.52.v20230823

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

2.40

org.glassfish.jersey.containers

jersey-container-servlet-core

2.40

org.glassfish.jersey.core

jersey-client

2.40

org.glassfish.jersey.core

jersey-common

2.40

org.glassfish.jersey.core

jersey-server

2.40

org.glassfish.jersey.inject

jersey-hk2

2.40

org.hibernate.validator

hibernate-validator

6.1.7.Final

org.ini4j

ini4j

0.5.4

org.javassist

javassist

3.29.2-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.mlflow

mlflow-spark_2.12

2.9.1

org.objenesis

objenesis

2.5.1

org.postgresql

postgresql

42.6.1

org.roaringbitmap

RoaringBitmap

0.9.45-databricks

org.roaringbitmap

shims

0.9.45-databricks

org.rocksdb

rocksdbjni

8.11.4

org.rosuda.REngine

REngine

2.1.0

org.scala-lang

scala-compiler_2.12

2.12.15

org.scala-lang

scala-library_2.12

2.12.15

org.scala-lang

scala-reflect_2.12

2.12.15

org.scala-lang.modules

scala-collection-compat_2.12

2.11.0

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

3.2.15

org.scalanlp

breeze-macros_2.12

2.1.0

org.scalanlp

breeze_2.12

2.1.0

org.scalatest

scalatest-compatible

3.2.15

org.scalatest

scalatest-core_2.12

3.2.15

org.scalatest

scalatest-diagrams_2.12

3.2.15

org.scalatest

scalatest-featurespec_2.12

3.2.15

org.scalatest

scalatest-flatspec_2.12

3.2.15

org.scalatest

scalatest-freespec_2.12

3.2.15

org.scalatest

scalatest-funspec_2.12

3.2.15

org.scalatest

scalatest-funsuite_2.12

3.2.15

org.scalatest

scalatest-matchers-core_2.12

3.2.15

org.scalatest

scalatest-mustmatchers_2.12

3.2.15

org.scalatest

scalatest-propspec_2.12

3.2.15

org.scalatest

scalatest-refspec_2.12

3.2.15

org.scalatest

scalatest-shouldmatchers_2.12

3.2.15

org.scalatest

scalatest-wordspec_2.12

3.2.15

org.scalatest

scalatest_2.12

3.2.15

org.slf4j

jcl-over-slf4j

2.0.7

org.slf4j

jul-to-slf4j

2.0.7

org.slf4j

slf4j-api

2.0.7

org.slf4j

slf4j-simple

1.7.25

org.threeten

threeten-extra

1.7.1

org.tukaani

xz

1.9

org.typelevel

algebra_2.12

2.0.1

org.typelevel

cats-kernel_2.12

2.1.1

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

1.1.3.Final

org.xerial

sqlite-jdbc

3.42.0.0

org.xerial.snappy

snappy-java

1.1.10.3

org.yaml

snakeyaml

2.0

oro

oro

2.0.8

pl.edu.icm

JLargeArrays

1.5

software.amazon.cryptools

AmazonCorrettoCryptoProvider

1.6.1-linux-x86_64

software.amazon.ion

ion-java

1.0.2

stax

stax-api

1.0.1