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Microsoft AzureDatabricks Runtime 15.2
The following release notes provide information about Databricks Runtime 15.2, powered by Apache Spark 3.5.0.
Databricks released this version in May 2024.
Note
These release notes may include references to features that are not available on Google Cloud as of this release.
Tip
To see release notes for Databricks Runtime versions that have reached end-of-support (EoS), see End-of-support Databricks Runtime release notes. The EoS Databricks Runtime versions have been retired and might not be updated.
Behavioral changes
Vacuum cleans up COPY INTO metadata files
Running VACUUM on a table written with COPY INTO now cleans up unreferenced metadata associated with tracking ingested files. There is no impact on the operational semantics of COPY INTO.
Lakehouse Federation is generally available (GA)
In Databricks Runtime 15.2 and later, Lakehouse Federation connectors across the following database types are generally available (GA):
MySQL
PostgreSQL
Amazon Redshift
Snowflake
Microsoft SQL Server
Azure Synapse (SQL Data Warehouse)
Databricks
This release also introduces the following improvements:
Support for single sign-on (SSO) authentication in the Snowflake and Microsoft SQL Server connectors.
Support for additional pushdowns (string, math, and miscellaneous functions).
Improved pushdown success rate across different query shapes.
Additional pushdown debugging capabilities:
The
EXPLAIN FORMATTEDoutput displays the pushed-down query text.The query profile UI displays the pushed-down query text, federated node identifiers, and JDBC query execution times (in verbose mode). See View system-generated federated queries.
BY POSITION for column mapping using COPY INTO with headerless CSV files
In Databricks Runtime 15.2 and later, you can use the BY POSITION key words (or alternative syntax ( col_name [ , <col_name> ... ] )) with COPY INTO for headerless CSV files to simplify the source column to target table column mapping. See Parameters.
Reduce memory consumption when Spark tasks fail with a Resubmitted error
In Databricks Runtime 15.2 and later, the return value of the Spark TaskInfo.accumulables() method is empty when tasks fail with a Resubmitted error. Previously, the method returned the values of an earlier successful task attempt. This behavior change affects the following consumers:
Spark tasks that use the
EventLoggingListenerclass.Custom Spark Listeners.
To restore the previous behavior, set spark.scheduler.dropTaskInfoAccumulablesOnTaskCompletion.enabled to false.
Viewing adaptive query execution plan versions is disabled
To reduce memory consumption, adaptive query execution (AQE) plan versions are now disabled by default in the Spark UI. To enable viewing AQE plan versions in the Spark UI, set the spark.databricks.sql.aqe.showPlanChangesInUI.enabled to true.
Limit on retained queries is lowered to reduce Spark UI memory usage
In Databricks Runtime 15.2 and later, to reduce the memory consumed by the Spark UI in Databricks compute, the limit on the number of queries visible in the UI is lowered from 1000 to 100. To change the limit, set a new value using the spark.sql.ui.retainedExecutions Spark configuration.
DESCRIBE HISTORY now shows clustering columns for tables that use liquid clustering
When you run a DESCRIBE HISTORY query, the operationParameters column shows a clusterBy field by default for CREATE OR REPLACE and OPTIMIZE operations. For a Delta table that uses liquid clustering, the clusterBy field is populated with the table’s clustering columns. If the table does not use liquid clustering, the field is empty.
New features and improvements
Support for primary and foreign keys is GA
Support for primary and foreign keys in Databricks Runtime is generally available. The GA release includes the following changes to the privileges required to use primary and foreign keys:
To define a foreign key, you must have the
SELECTprivilege on the table with the primary key that the foreign key refers to. You do not need to own the table with the primary key, which was previously required.Dropping a primary key using the
CASCADEclause does not require privileges on the tables that define foreign keys that reference the primary key. Previously, you needed to own the referencing tables.Dropping a table that includes constraints now requires the same privileges as dropping tables that do not include constraints.
To learn how to use primary and foreign keys with tables or views, see CONSTRAINT clause, ADD CONSTRAINT clause, and DROP CONSTRAINT clause.
Liquid clustering is GA
Support for liquid clustering is now generally available using Databricks Runtime 15.2 and above. See Use liquid clustering for Delta tables.
Type widening is in Public Preview
You can now enable type widening on tables backed by Delta Lake. Tables with type widening enabled allow changing the type of columns to a wider data type without rewriting underlying data files. See Type widening.
Schema evolution clause added to SQL merge syntax
You can now add the WITH SCHEMA EVOLUTION clause to a SQL merge statement to enable schema evolution for the operation. See Schema evolution syntax for merge.
PySpark custom data sources are available in Public Preview
A PySpark DataSource can be created using the Python (PySpark) DataSource API, which enables reading from custom data sources and writing to custom data sinks in Apache Spark using Python. See PySpark custom data sources
Use dbutils.widgets.getAll() to get all widgets in a notebook
Use dbutils.widgets.getAll() to get all widget values in a notebook. This is especially helpful when passing multiple widgets values to a Spark SQL query.
Vacuum inventory support
You can now specify an inventory of files to consider when running the VACUUM command on a Delta table. See the OSS Delta docs.
Support for Zstandard compression functions
You can now use the zst_compress, zstd_decompress, and try_zstd_decompress functions to compress and decompress BINARY data.
Bug fixes
Query plans in the SQL UI now correctly display PhotonWriteStage
When displayed in the SQL UI, write commands in query plans incorrectly showed PhotonWriteStage as an operator. With this release, the UI is updated to show PhotonWriteStage as a stage. This is a UI change only and does not affect how queries are run.
Ray is updated to fix issues with starting Ray clusters
This release includes a patched version of Ray that fixes a breaking change that prevents Ray clusters from starting with Databricks Runtime for Machine Learning. This change ensures that Ray functionality is identical to versions of Databricks Runtime previous to 15.2.
Corrected error class for DataFrame.sort() and DataFrame.sortWithinPartitions() functions
This release includes an update to the PySpark DataFrame.sort() and DataFrame.sortWithinPartitions() functions to ensure the ZERO_INDEX error class is thrown when 0 is passed as the index argument. Previously, the error class INDEX_NOT_POSITIVE was thrown.
Library upgrades
Upgraded Python libraries:
GitPython from 3.1.42 to 3.1.43
google-api-core from 2.17.1 to 2.18.0
google-auth from 2.28.1 to 2.29.0
google-cloud-storage from 2.15.0 to 2.16.0
googleapis-common-protos from 1.62.0 to 1.63.0
ipywidgets from 8.0.4 to 7.7.2
mlflow-skinny from 2.11.1 to 2.11.3
s3transfer from 0.10.0 to 0.10.1
sqlparse from 0.4.4 to 0.5.0
typing_extensions from 4.7.1 to 4.10.0
Upgraded R libraries:
Upgraded Java libraries:
com.amazonaws.aws-java-sdk-autoscaling from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-cloudformation from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-cloudfront from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-cloudhsm from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-cloudsearch from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-cloudtrail from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-cloudwatch from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-cloudwatchmetrics from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-codedeploy from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-cognitoidentity from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-cognitosync from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-config from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-core from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-datapipeline from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-directconnect from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-directory from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-dynamodb from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-ec2 from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-ecs from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-efs from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-elasticache from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-elasticbeanstalk from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-elasticloadbalancing from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-elastictranscoder from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-emr from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-glacier from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-glue from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-iam from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-importexport from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-kinesis from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-kms from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-lambda from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-logs from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-machinelearning from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-opsworks from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-rds from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-redshift from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-route53 from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-s3 from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-ses from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-simpledb from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-simpleworkflow from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-sns from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-sqs from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-ssm from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-storagegateway from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-sts from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-support from 1.12.390 to 1.12.610
com.amazonaws.aws-java-sdk-workspaces from 1.12.390 to 1.12.610
com.amazonaws.jmespath-java from 1.12.390 to 1.12.610
Apache Spark
Databricks Runtime 15.2 includes Apache Spark 3.5.0. This release includes all Spark fixes and improvements included in Databricks Runtime 15.1 (EoS), as well as the following additional bug fixes and improvements made to Spark:
[SPARK-47941] [SC-163568] [SS] [Connect] Propagate ForeachBatch worker initialization errors to users for PySpark
[SPARK-47412] [SC-163455][SQL] Add Collation Support for LPad/RPad.
[SPARK-47907] [SC-163408][SQL] Put bang under a config
[SPARK-46820] [SC-157093][PYTHON] Fix error message regression by restoring
new_msg[SPARK-47602] [SPARK-47577][SPARK-47598][SPARK-47577]Core/MLLib/Resource managers: structured logging migration
[SPARK-47890] [SC-163324][CONNECT][PYTHON] Add variant functions to Scala and Python.
[SPARK-47894] [SC-163086][CORE][WEBUI] Add
Environmentpage to Master UI[SPARK-47805] [SC-163459][SS] Implementing TTL for MapState
[SPARK-47900] [SC-163326] Fix check for implicit (UTF8_BINARY) collation
[SPARK-47902] [SC-163316][SQL]Making Compute Current Time* expressions foldable
[SPARK-47845] [SC-163315][SQL][PYTHON][CONNECT] Support Column type in split function for scala and python
[SPARK-47754] [SC-162144][SQL] Postgres: Support reading multidimensional arrays
[SPARK-47416] [SC-163001][SQL] Add new functions to CollationBenchmark #90339
[SPARK-47839] [SC-163075][SQL] Fix aggregate bug in RewriteWithExpression
[SPARK-47821] [SC-162967][SQL] Implement is_variant_null expression
[SPARK-47883] [SC-163184][SQL] Make
CollectTailExec.doExecutelazy with RowQueue[SPARK-47390] [SC-163306][SQL] PostgresDialect distinguishes TIMESTAMP from TIMESTAMP_TZ
[SPARK-47924] [SC-163282][CORE] Add a DEBUG log to
DiskStore.moveFileToBlock[SPARK-47897] [SC-163183][SQL][3.5] Fix ExpressionSet performance regression in scala 2.12
[SPARK-47565] [SC-161786][PYTHON] PySpark worker pool crash resilience
[SPARK-47885] [SC-162989][PYTHON][CONNECT] Make pyspark.resource compatible with pyspark-connect
[SPARK-47887] [SC-163122][CONNECT] Remove unused import
spark/connect/common.protofromspark/connect/relations.proto[SPARK-47751] [SC-161991][PYTHON][CONNECT] Make pyspark.worker_utils compatible with pyspark-connect
[SPARK-47691] [SC-161760][SQL] Postgres: Support multi dimensional array on the write side
[SPARK-47617] [SC-162513][SQL] Add TPC-DS testing infrastructure for collations
[SPARK-47356] [SC-162858][SQL] Add support for ConcatWs & Elt (all collations)
[SPARK-47543] [SC-161234][CONNECT][PYTHON] Inferring
dictasMapTypefrom Pandas DataFrame to allow DataFrame creation[SPARK-47863] [SC-162974][SQL] Fix startsWith & endsWith collation-aware implementation for ICU
[SPARK-47867] [SC-162966][SQL] Support variant in JSON scan.
[SPARK-47366] [SC-162475][SQL][PYTHON] Add VariantVal for PySpark
[SPARK-47803] [SC-162726][SQL] Support cast to variant.
[SPARK-47769] [SC-162841][SQL] Add schema_of_variant_agg expression.
[SPARK-47420] [SC-162842][SQL] Fix test output
[SPARK-47430] [SC-161178][SQL] Support GROUP BY for MapType
[SPARK-47357] [SC-162751][SQL] Add support for Upper, Lower, InitCap (all collations)
[SPARK-47788] [SC-162729][SS] Ensure the same hash partitioning for streaming stateful ops
[SPARK-47776] [SC-162291][SS] Disallow binary inequality collation be used in key schema of stateful operator
[SPARK-47673] [SC-162824][SS] Implementing TTL for ListState
[SPARK-47818] [SC-162845][CONNECT] Introduce plan cache in SparkConnectPlanner to improve performance of Analyze requests
[SPARK-47694] [SC-162783][CONNECT] Make max message size configurable on the client side
[SPARK-47274] Revert “[SC-162479][PYTHON][SQL] Provide more usef…
[SPARK-47616] [SC-161193][SQL] Add User Document for Mapping Spark SQL Data Types from MySQL
[SPARK-47862] [SC-162837][PYTHON][CONNECT]Fix generation of proto files
[SPARK-47849] [SC-162724][PYTHON][CONNECT] Change release script to release pyspark-connect
[SPARK-47410] [SC-162518][SQL] Refactor UTF8String and CollationFactory
[SPARK-47807] [SC-162505][PYTHON][ML] Make pyspark.ml compatible with pyspark-connect
[SPARK-47707] [SC-161768][SQL] Special handling of JSON type for MySQL Connector/J 5.x
[SPARK-47765] Revert “[SC-162636][SQL] Add SET COLLATION to pars…
[SPARK-47081] [SC-162151][CONNECT][FOLLOW] Improving the usability of the Progress Handler
[SPARK-47289] [SC-161877][SQL] Allow extensions to log extended information in explain plan
[SPARK-47274] [SC-162479][PYTHON][SQL] Provide more useful context for PySpark DataFrame API errors
[SPARK-47765] [SC-162636][SQL] Add SET COLLATION to parser rules
[SPARK-47828] [SC-162722][CONNECT][PYTHON]
DataFrameWriterV2.overwritefails with invalid plan[SPARK-47812] [SC-162696][CONNECT] Support Serialization of SparkSession for ForEachBatch worker
[SPARK-47253] [SC-162698][CORE] Allow LiveEventBus to stop without the completely draining of event queue
[SPARK-47827] [SC-162625][PYTHON] Missing warnings for deprecated features
[SPARK-47733] [SC-162628][SS] Add custom metrics for transformWithState operator part of query progress
[SPARK-47784] [SC-162623][SS] Merge TTLMode and TimeoutMode into a single TimeMode.
[SPARK-47775] [SC-162319][SQL] Support remaining scalar types in the variant spec.
[SPARK-47736] [SC-162503][SQL] Add support for AbstractArrayType
[SPARK-47081] [SC-161758][CONNECT] Support Query Execution Progress
[SPARK-47682] [SC-162138][SQL] Support cast from variant.
[SPARK-47802] [SC-162478][SQL] Revert () from meaning struct() back to meaning *
[SPARK-47680] [SC-162318][SQL] Add variant_explode expression.
[SPARK-47809] [SC-162511][SQL]
checkExceptionInExpressionshould check error for each codegen mode[SPARK-41811] [SC-162470][PYTHON][CONNECT] Implement
SQLStringFormatterwithWithRelations[SPARK-47693] [SC-162326][SQL] Add optimization for lowercase comparison of UTF8String used in UTF8_BINARY_LCASE collation
[SPARK-47541] [SC-162006][SQL] Collated strings in complex types supporting operations reverse, array_join, concat, map
[SPARK-46812] [SC-161535][CONNECT][PYTHON] Make mapInPandas / mapInArrow support ResourceProfile
[SPARK-47727] [SC-161982][PYTHON] Make SparkConf to root level to for both SparkSession and SparkContext
[SPARK-47406] [SC-159376][SQL] Handle TIMESTAMP and DATETIME in MYSQLDialect
[SPARK-47081] Revert “[SC-161758][CONNECT] Support Query Executi…
[SPARK-47681] [SC-162043][SQL] Add schema_of_variant expression.
[SPARK-47783] [SC-162222] Add some missing SQLSTATEs an clean up the YY000 to use…
[SPARK-47634] [SC-161558][SQL] Add legacy support for disabling map key normalization
[SPARK-47746] [SC-162022] Implement ordinal-based range encoding in the RocksDBStateEncoder
[SPARK-47285] [SC-158340][SQL] AdaptiveSparkPlanExec should always use the context.session
[SPARK-47643] [SC-161534][SS][PYTHON] Add pyspark test for python streaming source
[SPARK-47582] [SC-161943][SQL] Migrate Catalyst logInfo with variables to structured logging framework
[SPARK-47558] [SC-162007][SS] State TTL support for ValueState
[SPARK-47358] [SC-160912][SQL][COLLATION] Improve repeat expression support to return correct datatype
[SPARK-47504] [SC-162044][SQL] Resolve AbstractDataType simpleStrings for StringTypeCollated
[SPARK-47719] Revert “[SC-161909][SQL] Change spark.sql.legacy.t…
[SPARK-47657] [SC-162010][SQL] Implement collation filter push down support per file source
[SPARK-47081] [SC-161758][CONNECT] Support Query Execution Progress
[SPARK-47744] [SC-161999] Add support for negative-valued bytes in range encoder
[SPARK-47713] [SC-162009][SQL][CONNECT] Fix a self-join failure
[SPARK-47310] [SC-161930][SS] Add micro-benchmark for merge operations for multiple values in value portion of state store
[SPARK-47700] [SC-161774][SQL] Fix formatting of error messages with treeNode
[SPARK-47752] [SC-161993][PS][CONNECT] Make pyspark.pandas compatible with pyspark-connect
[SPARK-47575] [SC-161402][SPARK-47576][SPARK-47654] Implement logWarning/logInfo API in structured logging framework
[SPARK-47107] [SC-161201][SS][PYTHON] Implement partition reader for python streaming data source
[SPARK-47553] [SC-161772][SS] Add Java support for transformWithState operator APIs
[SPARK-47719] [SC-161909][SQL] Change spark.sql.legacy.timeParserPolicy default to CORRECTED
[SPARK-47655] [SC-161761][SS] Integrate timer with Initial State handling for state-v2
[SPARK-47665] [SC-161550][SQL] Use SMALLINT to Write ShortType to MYSQL
[SPARK-47210] [SC-161777][SQL] Addition of implicit casting without indeterminate support
[SPARK-47653] [SC-161767][SS] Add support for negative numeric types and range scan key encoder
[SPARK-46743] [SC-160777][SQL] Count bug after constant folding
[SPARK-47525] [SC-154568][SQL] Support subquery correlation joining on map attributes
[SPARK-46366] [SC-151277][SQL] Use WITH expression in BETWEEN to avoid duplicate expressions
[SPARK-47563] [SC-161183][SQL] Add map normalization on creation
[SPARK-42040] [SC-161171][SQL] SPJ: Introduce a new API for V2 input partition to report partition statistics
[SPARK-47679] [SC-161549][SQL] Use
HiveConf.getConfVarsor Hive conf names directly[SPARK-47685] [SC-161566][SQL] Restore the support for
Streamtype inDataset#groupBy[SPARK-47646] [SC-161352][SQL] Make try_to_number return NULL for malformed input
[SPARK-47366] [SC-161324][PYTHON] Add pyspark and dataframe parse_json aliases
[SPARK-47491] [SC-161176][CORE] Add
slf4j-apijar to the class path first before the others ofjarsdirectory[SPARK-47270] [SC-158741][SQL] Dataset.isEmpty projects CommandResults locally
[SPARK-47364] [SC-158927][CORE] Make
PluginEndpointwarn when plugins reply for one-way message[SPARK-47280] [SC-158350][SQL] Remove timezone limitation for ORACLE TIMESTAMP WITH TIMEZONE
[SPARK-47551] [SC-161542][SQL] Add variant_get expression.
[SPARK-47559] [SC-161255][SQL] Codegen Support for variant
parse_json[SPARK-47572] [SC-161351][SQL] Enforce Window partitionSpec is orderable.
[SPARK-47546] [SC-161241][SQL] Improve validation when reading Variant from Parquet
[SPARK-47543] [SC-161234][CONNECT][PYTHON] Inferring
dictasMapTypefrom Pandas DataFrame to allow DataFrame creation[SPARK-47485] [SC-161194][SQL][PYTHON][CONNECT] Create column with collations in dataframe API
[SPARK-47641] [SC-161376][SQL] Improve the performance for
UnaryMinusandAbs[SPARK-47631] [SC-161325][SQL] Remove unused
SQLConf.parquetOutputCommitterClassmethod[SPARK-47674] [SC-161504][CORE] Enable
spark.metrics.appStatusSource.enabledby default[SPARK-47273] [SC-161162][SS][PYTHON] implement Python data stream writer interface.
[SPARK-47637] [SC-161408][SQL] Use errorCapturingIdentifier in more places
[SPARK-47497] Revert “Revert “[SC-160724][SQL] Make to_csv support the output of array/struct/map/binary as pretty strings””
[SPARK-47492] [SC-161316][SQL] Widen whitespace rules in lexer
[SPARK-47664] [SC-161475][PYTHON][CONNECT] Validate the column name with cached schema
[SPARK-47638] [SC-161339][PS][CONNECT] Skip column name validation in PS
[SPARK-47363] [SC-161247][SS] Initial State without state reader implementation for State API v2.
[SPARK-47447] [SC-160448][SQL] Allow reading Parquet TimestampLTZ as TimestampNTZ
[SPARK-47497] Revert “[SC-160724][SQL] Make
to_csvsupport the output ofarray/struct/map/binaryas pretty strings”[SPARK-47434] [SC-160122][WEBUI] Fix
statisticslink inStreamingQueryPage[SPARK-46761] [SC-159045][SQL] Quoted strings in a JSON path should support ? characters
[SPARK-46915] [SC-155729][SQL] Simplify
UnaryMinusAbsand align error class[SPARK-47431] [SC-160919][SQL] Add session level default Collation
[SPARK-47620] [SC-161242][PYTHON][CONNECT] Add a helper function to sort columns
[SPARK-47570] [SC-161165][SS] Integrate range scan encoder changes with timer implementation
[SPARK-47497] [SC-160724][SQL] Make
to_csvsupport the output ofarray/struct/map/binaryas pretty strings[SPARK-47562] [SC-161166][CONNECT] Factor literal handling out of
plan.py[SPARK-47509] [SC-160902][SQL] Block subquery expressions in lambda and higher-order functions
[SPARK-47539] [SC-160750][SQL] Make the return value of method
castToStringbeAny => UTF8String[SPARK-47372] [SC-160905][SS] Add support for range scan based key state encoder for use with state store provider
[SPARK-47517] [SC-160642][CORE][SQL] Prefer Utils.bytesToString for size display
[SPARK-47243] [SC-158059][SS] Correct the package name of
StateMetadataSource.scala[SPARK-47367] [SC-160913][PYTHON][CONNECT] Support Python data sources with Spark Connect
[SPARK-47521] [SC-160666][CORE] Use
Utils.tryWithResourceduring reading shuffle data from external storage[SPARK-47474] [SC-160522][CORE] Revert SPARK-47461 and add some comments
[SPARK-47560] [SC-160914][PYTHON][CONNECT] Avoid RPC to validate column name with cached schema
[SPARK-47451] [SC-160749][SQL] Support to_json(variant).
[SPARK-47528] [SC-160727][SQL] Add UserDefinedType support to DataTypeUtils.canWrite
[SPARK-44708] Revert “[SC-160734][PYTHON] Migrate test_reset_index assert_eq to use assertDataFrameEqual”
[SPARK-47506] [SC-160740][SQL] Add support to all file source formats for collated data types
[SPARK-47256] [SC-160784][SQL] Assign names to error classes LEGACYERROR_TEMP_102[4-7]
[SPARK-47495] [SC-160720][CORE] Fix primary resource jar added to spark.jars twice under k8s cluster mode
[SPARK-47398] [SC-160572][SQL] Extract a trait for InMemoryTableScanExec to allow for extending functionality
[SPARK-47479] [SC-160623][SQL] Optimize cannot write data to relations with multiple paths error log
[SPARK-47483] [SC-160629][SQL] Add support for aggregation and join operations on arrays of collated strings
[SPARK-47458] [SC-160237][CORE] Fix the problem with calculating the maximum concurrent tasks for the barrier stage
[SPARK-47534] [SC-160737][SQL] Move
o.a.s.varianttoo.a.s.types.variant[SPARK-47396] [SC-159312][SQL] Add a general mapping for TIME WITHOUT TIME ZONE to TimestampNTZType
[SPARK-44708] [SC-160734][PYTHON] Migrate test_reset_index assert_eq to use assertDataFrameEqual
[SPARK-47309] [SC-157733][SC-160398][SQL] XML: Add schema inference tests for value tags
[SPARK-47007] [SC-160630][SQL] Add the
MapSortexpression[SPARK-47523] [SC-160645][SQL] Replace deprecated
JsonParser#getCurrentNamewithJsonParser#currentName[SPARK-47440] [SC-160635][SQL] Fix pushing unsupported syntax to MsSqlServer
[SPARK-47512] [SC-160617][SS] Tag operation type used with RocksDB state store instance lock acquisition/release
[SPARK-47346] [SC-159425][PYTHON] Make daemon mode configurable when creating Python planner workers
[SPARK-47446] [SC-160163][CORE] Make
BlockManagerwarn beforeremoveBlockInternal[SPARK-46526] [SC-156099][SQL] Support LIMIT over correlated subqueries where predicates only reference outer table
[SPARK-47461] [SC-160297][CORE] Remove private function
totalRunningTasksPerResourceProfilefromExecutorAllocationManager[SPARK-47422] [SC-160219][SQL] Support collated strings in array operations
[SPARK-47500] [SC-160627][PYTHON][CONNECT] Factor column name handling out of
plan.py[SPARK-47383] [SC-160144][CORE] Support
spark.shutdown.timeoutconfig[SPARK-47342] [SC-159049]Revert “[SQL] Support TimestampNTZ for DB2 TIMESTAMP WITH TIME ZONE”
[SPARK-47486] [SC-160491][CONNECT] Remove unused private
ArrowDeserializers.getStringmethod[SPARK-47233] [SC-154486][CONNECT][SS][2/2] Client & Server logic for Client side streaming query listener
[SPARK-47487] [SC-160534][SQL] Simplify code in AnsiTypeCoercion
[SPARK-47443] [SC-160459][SQL] Window Aggregate support for collations
[SPARK-47296] [SC-160457][SQL][COLLATION] Fail unsupported functions for non-binary collations
[SPARK-47380] [SC-160164][CONNECT] Ensure on the server side that the SparkSession is the same
[SPARK-47327] [SC-160069][SQL] Move sort keys concurrency test to CollationFactorySuite
[SPARK-47494] [SC-160495][Doc] Add migration doc for the behavior change of Parquet timestamp inference since Spark 3.3
[SPARK-47449] [SC-160372][SS] Refactor and split list/timer unit tests
[SPARK-46473] [SC-155663][SQL] Reuse
getPartitionedFilemethod[SPARK-47423] [SC-160068][SQL] Collations - Set operation support for strings with collations
[SPARK-47439] [SC-160115][PYTHON] Document Python Data Source API in API reference page
[SPARK-47457] [SC-160234][SQL] Fix
IsolatedClientLoader.supportsHadoopShadedClientto handle Hadoop 3.4+[SPARK-47366] [SC-159348][SQL] Implement parse_json.
[SPARK-46331] [SC-152982][SQL] Removing CodegenFallback from subset of DateTime expressions and version() expression
[SPARK-47395] [SC-159404] Add collate and collation to other APIs
[SPARK-47437] [SC-160117][PYTHON][CONNECT] Correct the error class for
DataFrame.sort*[SPARK-47174] [SC-154483][CONNECT][SS][1/2] Server side SparkConnectListenerBusListener for Client side streaming query listener
[SPARK-47324] [SC-158720][SQL] Add missing timestamp conversion for JDBC nested types
[SPARK-46962] [SC-158834][SS][PYTHON] Add interface for python streaming data source API and implement python worker to run python streaming data source
[SPARK-45827] [SC-158498][SQL] Move data type checks to CreatableRelationProvider
[SPARK-47342] [SC-158874][SQL] Support TimestampNTZ for DB2 TIMESTAMP WITH TIME ZONE
[SPARK-47399] [SC-159378][SQL] Disable generated columns on expressions with collations
[SPARK-47146] [SC-158247][CORE] Possible thread leak when doing sort merge join
[SPARK-46913] [SC-159149][SS] Add support for processing/event time based timers with transformWithState operator
[SPARK-47375] [SC-159063][SQL] Add guidelines for timestamp mapping in
JdbcDialect#getCatalystType[SPARK-47394] [SC-159282][SQL] Support TIMESTAMP WITH TIME ZONE for H2Dialect
[SPARK-45827] Revert “[SC-158498][SQL] Move data type checks to …
[SPARK-47208] [SC-159279][CORE] Allow overriding base overhead memory
[SPARK-42627] [SC-158021][SPARK-26494][SQL] Support Oracle TIMESTAMP WITH LOCAL TIME ZONE
[SPARK-47055] [SC-156916][PYTHON] Upgrade MyPy 1.8.0
[SPARK-46906] [SC-157205][SS] Add a check for stateful operator change for streaming
[SPARK-47391] [SC-159283][SQL] Remove the test case workaround for JDK 8
[SPARK-47272] [SC-158960][SS] Add MapState implementation for State API v2.
[SPARK-47375] [SC-159278][Doc][FollowUp] Fix a mistake in JDBC’s preferTimestampNTZ option doc
[SPARK-42328] [SC-157363][SQL] Remove LEGACYERROR_TEMP_1175 from error classes
[SPARK-47375] [SC-159261][Doc][FollowUp] Correct the preferTimestampNTZ option description in JDBC doc
[SPARK-47344] [SC-159146] Extend INVALID_IDENTIFIER error beyond catching ‘-‘ in an unquoted identifier and fix “IS ! NULL” et al.
[SPARK-47340] [SC-159039][SQL] Change “collate” in StringType typename to lowercase
[SPARK-47087] [SC-157077][SQL] Raise Spark’s exception with an error class in config value check
[SPARK-47327] [SC-158824][SQL] Fix thread safety issue in ICU Collator
[SPARK-47082] [SC-157058][SQL] Fix out-of-bounds error condition
[SPARK-47331] [SC-158719][SS] Serialization using case classes/primitives/POJO based on SQL encoder for Arbitrary State API v2.
[SPARK-47250] [SC-158840][SS] Add additional validations and NERF changes for RocksDB state provider and use of column families
[SPARK-47328] [SC-158745][SQL] Rename UCS_BASIC collation to UTF8_BINARY
[SPARK-47207] [SC-157845][CORE] Support
spark.driver.timeoutandDriverTimeoutPlugin[SPARK-47370] [SC-158956][Doc] Add migration doc: TimestampNTZ type inference on Parquet files
[SPARK-47309] [SC-158827][SQL][XML] Add schema inference unit tests
[SPARK-47295] [SC-158850][SQL] Added ICU StringSearch for the
startsWithandendsWithfunctions[SPARK-47343] [SC-158851][SQL] Fix NPE when
sqlStringvariable value is null string in execute immediate[SPARK-46293] [SC-150117][CONNECT][PYTHON] Use
protobuftransitive dependency[SPARK-46795] [SC-154143][SQL] Replace
UnsupportedOperationExceptionbySparkUnsupportedOperationExceptioninsql/core[SPARK-46087] [SC-149023][PYTHON] Sync PySpark dependencies in docs and dev requirements
[SPARK-47169] [SC-158848][SQL] Disable bucketing on collated columns
[SPARK-42332] [SC-153996][SQL] Changing the require to a SparkException in ComplexTypeMergingExpression
[SPARK-45827] [SC-158498][SQL] Move data type checks to CreatableRelationProvider
[SPARK-47341] [SC-158825][Connect] Replace commands with relations in a few tests in SparkConnectClientSuite
[SPARK-43255] [SC-158026][SQL] Replace the error class LEGACYERROR_TEMP_2020 by an internal error
[SPARK-47248] [SC-158494][SQL][COLLATION] Improved string function support: contains
[SPARK-47334] [SC-158716][SQL] Make
withColumnRenamedreuse the implementation ofwithColumnsRenamed[SPARK-46442] [SC-153168][SQL] DS V2 supports push down PERCENTILE_CONT and PERCENTILE_DISC
[SPARK-47313] [SC-158747][SQL] Added scala.MatchError handling inside QueryExecution.toInternalError
[SPARK-45827] [SC-158732][SQL] Add variant singleton type for Java
[SPARK-47337] [SC-158743][SQL][DOCKER] Upgrade DB2 docker image version to 11.5.8.0
[SPARK-47302] [SC-158609][SQL] Collate keyword as identifier
[SPARK-46817] [SC-154196][CORE] Fix
spark-daemon.shusage by addingdecommissioncommand[SPARK-46739] [SC-153553][SQL] Add the error class
UNSUPPORTED_CALL[SPARK-47102] [SC-158253][SQL] Add the
COLLATION_ENABLEDconfig flag[SPARK-46774] [SC-153925][SQL][AVRO] Use mapreduce.output.fileoutputformat.compress instead of deprecated mapred.output.compress in Avro write jobs
[SPARK-45245] [SC-146961][PYTHON][CONNECT] PythonWorkerFactory: Timeout if worker does not connect back.
[SPARK-46835] [SC-158355][SQL][Collations] Join support for non-binary collations
[SPARK-47131] [SC-158154][SQL][COLLATION] String function support: contains, startswith, endswith
[SPARK-46077] [SC-157839][SQL] Consider the type generated by TimestampNTZConverter in JdbcDialect.compileValue.
[SPARK-47311] [SC-158465][SQL][PYTHON] Suppress Python exceptions where PySpark is not in the Python path
[SPARK-47319] [SC-158599][SQL] Improve missingInput calculation
[SPARK-47316] [SC-158606][SQL] Fix TimestampNTZ in Postgres Array
[SPARK-47268] [SC-158158][SQL][Collations] Support for repartition with collations
[SPARK-47191] [SC-157831][SQL] Avoid unnecessary relation lookup when uncaching table/view
[SPARK-47168] [SC-158257][SQL] Disable parquet filter pushdown when working with non default collated strings
[SPARK-47236] [SC-158015][CORE] Fix
deleteRecursivelyUsingJavaIOto skip non-existing file input[SPARK-47238] [SC-158466][SQL] Reduce executor memory usage by making generated code in WSCG a broadcast variable
[SPARK-47249] [SC-158133][CONNECT] Fix bug where all connect executions are considered abandoned regardless of their actual status
[SPARK-47202] [SC-157828][PYTHON] Fix typo breaking datetimes with tzinfo
[SPARK-46834] [SC-158139][SQL][Collations] Support for aggregates
[SPARK-47277] [SC-158351][3.5] PySpark util function assertDataFrameEqual should not support streaming DF
[SPARK-47155] [SC-158473][PYTHON] Fix Error Class Issue
[SPARK-47245] [SC-158163][SQL] Improve error code for INVALID_PARTITION_COLUMN_DATA_TYPE
[SPARK-39771] [SC-158425][CORE] Add a warning msg in
Dependencywhen a too large number of shuffle blocks is to be created.[SPARK-47277] [SC-158329] PySpark util function assertDataFrameEqual should not support streaming DF
[SPARK-47293] [SC-158356][CORE] Build batchSchema with sparkSchema instead of append one by one
[SPARK-46732] [SC-153517][CONNECT]Make Subquery/Broadcast thread work with Connect’s artifact management
[SPARK-44746] [SC-158332][PYTHON] Add more Python UDTF documentation for functions that accept input tables
[SPARK-47120] [SC-157517][SQL] Null comparison push down data filter from subquery produces in NPE in Parquet filter
[SPARK-47251] [SC-158291][PYTHON] Block invalid types from the
argsargument forsqlcommand[SPARK-47251] Revert “[SC-158121][PYTHON] Block invalid types from the
argsargument forsqlcommand”[SPARK-47015] [SC-157900][SQL] Disable partitioning on collated columns
[SPARK-46846] [SC-154308][CORE] Make
WorkerResourceInfoextendSerializableexplicitly[SPARK-46641] [SC-156314][SS] Add maxBytesPerTrigger threshold
[SPARK-47244] [SC-158122][CONNECT]
SparkConnectPlannermake internal functions private[SPARK-47266] [SC-158146][CONNECT] Make
ProtoUtils.abbreviatereturn the same type as the input[SPARK-46961] [SC-158183][SS] Using ProcessorContext to store and retrieve handle
[SPARK-46862] [SC-154548][SQL] Disable CSV column pruning in the multi-line mode
[SPARK-46950] [SC-155803][CORE][SQL] Align
not available codecerror-class[SPARK-46368] [SC-153236][CORE] Support
readyzin REST Submission API[SPARK-46806] [SC-154108][PYTHON] Improve error message for spark.table when argument type is wrong
[SPARK-47211] [SC-158008][CONNECT][PYTHON] Fix ignored PySpark Connect string collation
[SPARK-46552] [SC-151366][SQL] Replace
UnsupportedOperationExceptionbySparkUnsupportedOperationExceptionincatalyst[SPARK-47147] [SC-157842][PYTHON][SQL] Fix PySpark collated string conversion error
[SPARK-47144] [SC-157826][CONNECT][SQL][PYTHON] Fix Spark Connect collation error by adding collateId protobuf field
[SPARK-46575] [SC-153200][SQL][HIVE] Make HiveThriftServer2.startWithContext DevelopApi retriable and fix flakiness of ThriftServerWithSparkContextInHttpSuite
[SPARK-46696] [SC-153832][CORE] In ResourceProfileManager, function calls should occur after variable declarations
[SPARK-47214] [SC-157862][Python] Create UDTF API for ‘analyze’ method to differentiate constant NULL arguments and other types of arguments
[SPARK-46766] [SC-153909][SQL][AVRO] ZSTD Buffer Pool Support For AVRO datasource
[SPARK-47192] [SC-157819] Convert some LEGACYERROR_TEMP_0035 errors
[SPARK-46928] [SC-157341][SS] Add support for ListState in Arbitrary State API v2.
[SPARK-46881] [SC-154612][CORE] Support
spark.deploy.workerSelectionPolicy[SPARK-46800] [SC-154107][CORE] Support
spark.deploy.spreadOutDrivers[SPARK-45484] [SC-146014][SQL] Fix the bug that uses incorrect parquet compression codec lz4raw
[SPARK-46791] [SC-154018][SQL] Support Java Set in JavaTypeInference
[SPARK-46332] [SC-150224][SQL] Migrate
CatalogNotFoundExceptionto the error classCATALOG_NOT_FOUND[SPARK-47164] [SC-157616][SQL] Make Default Value From Wider Type Narrow Literal of v2 behave the same as v1
[SPARK-46664] [SC-153181][CORE] Improve
Masterto recover quickly in case of zero workers and apps[SPARK-46759] [SC-153839][SQL][AVRO] Codec xz and zstandard support compression level for avro files
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 8.74.0.17-CA-linux64
Scala: 2.12.15
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 |
3.13.1 |
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 |
8.3.2 |
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 |