Databricks Runtime 12.2 LTS
The following release notes provide information about Databricks Runtime 12.2 LTS, powered by Apache Spark 3.3.2.
Databricks released these images in March, 2023.
New features and improvements
- Delta Lake schema evolution supports specifying source columns in merge statements
- Structured Streaming workloads are supported on clusters with shared access mode
- New features for Predictive I/O
- Implicit lateral column aliasing support
- New forEachBatch feature
- Standardized Connection Options for Query Federation
- Extended SQL function library for array management
- New mask function to anonymize strings
- Common error conditions now return SQLSTATEs
- Invoke generator functions in the FROM clause
- Support for protocol buffers is generally available
- Bug fixes
Delta Lake schema evolution supports specifying source columns in merge statements
You can now specify columns present only in the source table in insert or update actions for merge statements when schema evolution is enabled. In Databricks Runtime 12.1 and below, only INSERT * or UPDATE SET * actions can be used for schema evolution with merge. See Automatic schema evolution for Delta Lake merge.
Structured Streaming workloads are supported on clusters with shared access mode
You can now use Structured Streaming to interact with Unity Catalog on shared clusters. Some limitations apply. See What Structured Streaming functionality does Unity Catalog support?.
New features for Predictive I/O
Photon support for Foreachbatch sink is now available. Workloads that stream from a source and merge into Delta Tables or write to multiple sinks can now benefit from Photonized Foreachbatch sink.
Implicit lateral column aliasing support
Azure Databricks now supports implicit lateral column aliasing by default. You can now reuse an expression specified earlier in the same SELECT list. For example, given SELECT 1 AS a, a + 1 AS b, the a in a + 1 can be resolved as the previously defined 1 AS a. Check Name resolution for more details in resolution order.
To turn off this feature, you can set spark.sql.lateralColumnAlias.enableImplicitResolution to false.
New forEachBatch feature
Photon is now supported when using foreachBatch to write to a data sink.
Standardized Connection Options for Query Federation
You can now use a unified set of options (host, port, database, user, password)to connect to data sources supported in Query Federation. Port is optional and uses the default port number for each data source, unless specified.
Extended SQL function library for array management
You can now remove all NULL elements from an array using array_compact. To append elements to an array, use array_append.
New mask function to anonymize strings
Invoke the mask function to anonymize sensitive string values.
Common error conditions now return SQLSTATEs
Most error conditions that Databricks Runtime now include documented SQLSTATE values which can be used to test for errors in a SQL standard compliant way.
Invoke generator functions in the FROM clause
You can now invoke table-valued generator functions such as explode in the regular FROM clause of a query. This aligns generator function invocation with other built-in and user defined table functions.
Support for protocol buffers is generally available
You can use the from_protobuf and to_protobuf functions to exchange data between binary and struct types. See Read and write protocol buffers.
Bug fixes
- Improved consistency for Delta commit behavior for empty transactions relating to
update,delete, andmergecommands. InWriteSerializableisolation level, commands that result in no changes now create an empty commit. In aSerializableisolation level, such empty transactions now do not create a commit.
Behavior changes
Behavior changes with the new lateral column alias feature
The new lateral column alias feature introduces behavior changes for the following cases during name resolution:
- Lateral column alias now takes precedence over correlated references with the same name. For example, for this query
SELECT (SELECT c2 FROM (SELECT 1 AS c1, c1 AS c2) WHERE c2 > 5) FROM VALUES(6) AS t(c1), thec1in the innerc1 AS c2was resolved to the correlated referencet.c1, but now changes to lateral column alias1 AS c1. The query now returnsNULL. - Lateral column alias now takes precedence over function parameters with the same name. For example, for the function,
CREATE OR REPLACE TEMPORARY FUNCTION func(x INT) RETURNS TABLE (a INT, b INT, c DOUBLE) RETURN SELECT x + 1 AS x, x, thexin the function body was resolved to the function parameter x, but changes to lateral column aliasx + 1in the function body. The query,SELECT * FROM func(1)now returns2, 2. - To turn off the lateral column alias feature, set
spark.sql.lateralColumnAlias.enableImplicitResolutiontofalse. For more information, see Name resolution.
Library upgrades
- Upgraded Python libraries:
- filelock from 3.8.2 to 3.9.0
- joblib from 1.1.0 to 1.1.1
- platformdirs from 2.6.0 to 2.6.2
- whatthepatch from 1.0.3 to 1.0.4
- Upgraded R libraries:
- class from 7.3-20 to 7.3-21
- codetools from 0.2-18 to 0.2-19
- MASS from 7.3-58 to 7.3-58.2
- nlme from 3.1-160 to 3.1-162
- Rserve from 1.8-11 to 1.8-12
- SparkR from 3.3.1 to 3.3.2
Behavior changes
- Users are now required to have
SELECTandMODIFYprivileges on any file when creating a schema with a defined location.
Apache Spark
Databricks Runtime 12.2 includes Apache Spark 3.3.2. This release includes all Spark fixes and improvements included in Databricks Runtime 12.1 (unsupported), as well as the following additional bug fixes and improvements made to Spark:
- [SPARK-42416] [SC-123205][SC-122851][SQL] Dateset operations should not resolve the analyzed logical plan again
- [SPARK-41848] Revert “[CHERRY-PICK][12.x][12.1][12.0][SC-120037][CORE] Fixing task over-scheduled with TaskResourceProfile”
- [SPARK-42162] [SC-122711][ES-556261] Introduce MultiCommutativeOp expression as a memory optimization for canonicalizing large trees of commutative expressions
- [SPARK-42406] [SC-122998][PROTOBUF][Cherry-pick] Fix recursive depth setting for Protobuf functions
- [SPARK-42002] [SC-122476][CONNECT][PYTHON] Implement DataFrameWriterV2
- [SPARK-41716] [SC-122545][CONNECT] Rename _catalog_to_pandas to _execute_and_fetch in Catalog
- [SPARK-41490] [SC-121774][SQL] Assign name to _LEGACY_ERROR_TEMP_2441
- [SPARK-41600] [SC-122538][SPARK-41623][SPARK-41612][CONNECT] Implement Catalog.cacheTable, isCached and uncache
- [SPARK-42191] [SC-121990][SQL] Support udf ‘luhn_check’
- [SPARK-42253] [SC-121976][PYTHON] Add test for detecting duplicated error class
- [SPARK-42268] [SC-122251][CONNECT][PYTHON] Add UserDefinedType in protos
- [SPARK-42231] [SC-121841][SQL] Turn
MISSING_STATIC_PARTITION_COLUMNintointernalError - [SPARK-42136] [SC-122554] Refactor BroadcastHashJoinExec output partitioning calculation
- [SPARK-42158] [SC-121610][SQL] Integrate
_LEGACY_ERROR_TEMP_1003intoFIELD_NOT_FOUND - [SPARK-42192] [12.x][SC-121820][PYTHON] Migrate the TypeError from pyspark/sql/dataframe.py into PySparkTypeError
- [SPARK-35240] Revert “[SC-118242][SS] Use CheckpointFileManager …
- [SPARK-41488] [SC-121858][SQL] Assign name to _LEGACY_ERROR_TEMP_1176 (and 1177)
- [SPARK-42232] [SC-122267][SQL] Rename error class:
UNSUPPORTED_FEATURE.JDBC_TRANSACTION - [SPARK-42346] [SC-122480][SQL] Rewrite distinct aggregates after subquery merge
- [SPARK-42306] [SC-122539][SQL] Integrate
_LEGACY_ERROR_TEMP_1317intoUNRESOLVED_COLUMN.WITH_SUGGESTION - [SPARK-42234] [SC-122354][SQL] Rename error class:
UNSUPPORTED_FEATURE.REPEATED_PIVOT - [SPARK-42343] [SC-122437][CORE] Ignore
IOExceptioninhandleBlockRemovalFailureif SparkContext is stopped - [SPARK-41295] [SC-122442][SPARK-41296][SQL] Rename the error classes
- [SPARK-42320] [SC-122478][SQL] Assign name to _LEGACY_ERROR_TEMP_2188
- [SPARK-42255] [SC-122483][SQL] Assign name to _LEGACY_ERROR_TEMP_2430
- [SPARK-42156] [SC-121851][CONNECT] SparkConnectClient supports RetryPolicies now
- [SPARK-38728] [SC-116723][SQL] Test the error class: FAILED_RENAME_PATH
- [SPARK-40005] [12.X] Self contained examples in PySpark
- [SPARK-39347] [SC-122457][SS] Bug fix for time window calculation when event time < 0
- [SPARK-42336] [SC-122458][CORE] Use
getOrElse()instead ofcontains()in ResourceAllocator - [SPARK-42125] [SC-121827][CONNECT][PYTHON] Pandas UDF in Spark Connect
- [SPARK-42217] [SC-122263][SQL] Support implicit lateral column alias in queries with Window
- [SPARK-35240] [SC-118242][SS] Use CheckpointFileManager for checkpoint file manipulation
- [SPARK-42294] [SC-122337][SQL] Include column default values in DESCRIBE output for V2 tables
- [SPARK-41979] Revert “Revert “[12.x][SC-121190][SQL] Add missing dots for error messages in error classes.””
- [SPARK-42286] [SC-122336][SQL] Fallback to previous codegen code path for complex expr with CAST
- [SPARK-42275] [SC-122249][CONNECT][PYTHON] Avoid using built-in list, dict in static typing
- [SPARK-41985] [SC-122172][SQL] Centralize more column resolution rules
- [SPARK-42126] [SC-122330][PYTHON][CONNECT] Accept return type in DDL strings for Python Scalar UDFs in Spark Connect
- [SPARK-42197] [SC-122328][SC-121514][CONNECT] Reuses JVM initialization, and separate configuration groups to set in remote local mode
- [SPARK-41575] [SC-120118][SQL] Assign name to _LEGACY_ERROR_TEMP_2054
- [SPARK-41985] Revert “[SC-122172][SQL] Centralize more column resolution rules”
- [SPARK-42123] [SC-122234][SC-121453][SQL] Include column default values in DESCRIBE and SHOW CREATE TABLE output
- [SPARK-41985] [SC-122172][SQL] Centralize more column resolution rules
- [SPARK-42284] [SC-122233][CONNECT] Make sure connect server assembly is built before running client tests - SBT
- [SPARK-42239] [SC-121790][SQL] Integrate
MUST_AGGREGATE_CORRELATED_SCALAR_SUBQUERY - [SPARK-42278] [SC-122170][SQL] DS V2 pushdown supports supports JDBC dialects compile
SortOrderby themselves - [SPARK-42259] [SC-122168][SQL] ResolveGroupingAnalytics should take care of Python UDAF
- [SPARK-41979] Revert “[12.x][SC-121190][SQL] Add missing dots for error messages in error classes.”
- [SPARK-42224] [12.x][SC-121708][CONNECT] Migrate TypeError into error framework for Spark Connect functions
- [SPARK-41712] [12.x][SC-121189][PYTHON][CONNECT] Migrate the Spark Connect errors into PySpark error framework.
- [SPARK-42119] [SC-121913][SC-121342][SQL] Add built-in table-valued functions inline and inline_outer
- [SPARK-41489] [SC-121713][SQL] Assign name to _LEGACY_ERROR_TEMP_2415
- [SPARK-42082] [12.x][SC-121163][SPARK-41598][PYTHON][CONNECT] Introduce PySparkValueError and PySparkTypeError
- [SPARK-42081] [SC-121723][SQL] Improve the plan change validation
- [SPARK-42225] [12.x][SC-121714][CONNECT] Add SparkConnectIllegalArgumentException to handle Spark Connect error precisely.
- [SPARK-42044] [12.x][SC-121280][SQL] Fix incorrect error message for
MUST_AGGREGATE_CORRELATED_SCALAR_SUBQUERY - [SPARK-42194] [12.x][SC-121712][PS] Allow columns parameter when creating DataFrame with Series.
- [SPARK-42078] [12.x][SC-120761][PYTHON] Migrate errors thrown by JVM into PySparkException.
- [SPARK-42133] [12.x][SC-121250] Add basic Dataset API methods to SparkConnect Scala Client
- [SPARK-41979] [12.x][SC-121190][SQL] Add missing dots for error messages in error classes.
- [SPARK-42124] [12.x][SC-121420][PYTHON][CONNECT] Scalar Inline Python UDF in Spark Connect
- [SPARK-42051] [SC-121994][SQL] Codegen Support for HiveGenericUDF
- [SPARK-42257] [SC-121948][CORE] Remove unused variable external sorter
- [SPARK-41735] [SC-121771][SQL] Use MINIMAL instead of STANDARD for SparkListenerSQLExecutionEnd
- [SPARK-42236] [SC-121882][SQL] Refine
NULLABLE_ARRAY_OR_MAP_ELEMENT - [SPARK-42233] [SC-121775][SQL] Improve error message for
PIVOT_AFTER_GROUP_BY - [SPARK-42229] [SC-121856][CORE] Migrate
SparkCoreErrorsinto error classes - [SPARK-42163] [SC-121839][SQL] Fix schema pruning for non-foldable array index or map key
- [SPARK-40711] [SC-119990][SQL] Add spill size metrics for window
- [SPARK-42023] [SC-121847][SPARK-42024][CONNECT][PYTHON] Make
createDataFramesupportAtomicType -> StringTypecoercion - [SPARK-42202] [SC-121837][Connect][Test] Improve the E2E test server stop logic
- [SPARK-41167] [SC-117425][SQL] Improve multi like performance by creating a balanced expression tree predicate
- [SPARK-41931] [SC-121618][SQL] Better error message for incomplete complex type definition
- [SPARK-36124] [SC-121339][SC-110446][SQL] Support subqueries with correlation through UNION
- [SPARK-42090] [SC-121290][3.3] Introduce sasl retry count in RetryingBlockTransferor
- [SPARK-42157] [SC-121264][CORE]
spark.scheduler.mode=FAIRshould provide FAIR scheduler - [SPARK-41572] [SC-120772][SQL] Assign name to _LEGACY_ERROR_TEMP_2149
- [SPARK-41983] [SC-121224][SQL] Rename & improve error message for
NULL_COMPARISON_RESULT - [SPARK-41976] [SC-121024][SQL] Improve error message for
INDEX_NOT_FOUND - [SPARK-41994] [SC-121210][SC-120573] Assign SQLSTATE’s (1/2)
- [SPARK-41415] [SC-121117][3.3] SASL Request Retries
- [SPARK-38591] [SC-121018][SQL] Add flatMapSortedGroups and cogroupSorted
- [SPARK-41975] [SC-120767][SQL] Improve error message for
INDEX_ALREADY_EXISTS - [SPARK-42056] [SC-121158][SQL][PROTOBUF] Add missing options for Protobuf functions
- [SPARK-41984] [SC-120769][SQL] Rename & improve error message for
RESET_PERMISSION_TO_ORIGINAL - [SPARK-41948] [SC-121196][SQL] Fix NPE for error classes: CANNOT_PARSE_JSON_FIELD
- [SPARK-41772] [SC-121176][CONNECT][PYTHON] Fix incorrect column name in
withField’s doctest - [SPARK-41283] [SC-121175][CONNECT][PYTHON] Add
array_appendto Connect - [SPARK-41960] [SC-120773][SQL] Assign name to _LEGACY_ERROR_TEMP_1056
- [SPARK-42134] [SC-121116][SQL] Fix getPartitionFiltersAndDataFilters() to handle filters without referenced attributes
- [SPARK-42096] [SC-121012][CONNECT] Some code cleanup for
connectmodule - [SPARK-42099] [SC-121114][SPARK-41845][CONNECT][PYTHON] Fix
count(*)andcount(col(*)) - [SPARK-42045] [SC-120958][SC-120450][SQL] ANSI SQL mode: Round/Bround should return an error on integer overflow
- [SPARK-42043] [SC-120968][CONNECT] Scala Client Result with E2E Tests
- [SPARK-41884] [SC-121022][CONNECT] Support naive tuple as a nested row
- [SPARK-42112] [SC-121011][SQL][SS] Add null check before
ContinuousWriteRDD#computefunction closedataWriter - [SPARK-42077] [SC-120553][CONNECT][PYTHON] Literal should throw TypeError for unsupported DataType
- [SPARK-42108] [SC-120898][SQL] Make Analyzer transform
Count(*)intoCount(1) - [SPARK-41666] [SC-120928][SC-119009][PYTHON] Support parameterized SQL by
sql() - [SPARK-40599] [SC-120930][SQL] Relax multiTransform rule type to allow alternatives to be any kinds of Seq
- [SPARK-41574] [SC-120771][SQL] Update
_LEGACY_ERROR_TEMP_2009asINTERNAL_ERROR. - [SPARK-41579] [SC-120770][SQL] Assign name to _LEGACY_ERROR_TEMP_1249
- [SPARK-41974] [SC-120766][SQL] Turn
INCORRECT_END_OFFSETintoINTERNAL_ERROR - [SPARK-41530] [SC-120916][SC-118513][CORE] Rename MedianHeap to PercentileMap and support percentile
- [SPARK-41757] [SC-120608][SPARK-41901][CONNECT] Fix string representation for Column class
- [SPARK-42084] [SC-120775][SQL] Avoid leaking the qualified-access-only restriction
- [SPARK-41973] [SC-120765][SQL] Assign name to _LEGACY_ERROR_TEMP_1311
- [SPARK-42039] [SC-120655][SQL] SPJ: Remove Option in KeyGroupedPartitioning#partitionValuesOpt
- [SPARK-42079] [SC-120712][CONNECT][PYTHON] Rename proto messages for
toDFandwithColumnsRenamed - [SPARK-42089] [SC-120605][CONNECT][PYTHON] Fix variable name issues in nested lambda functions
- [SPARK-41982] [SC-120604][SQL] Partitions of type string should not be treated as numeric types
- [SPARK-40599] [SC-120620][SQL] Add multiTransform methods to TreeNode to generate alternatives
- [SPARK-42085] [SC-120556][CONNECT][PYTHON] Make
from_arrow_schemasupport nested types - [SPARK-42057] [SC-120507][SQL][PROTOBUF] Fix how exception is handled in error reporting.
- [SPARK-41586] [12.x][ALL TESTS][SC-120544][PYTHON] Introduce
pyspark.errorsand error classes for PySpark. - [SPARK-41903] [SC-120543][CONNECT][PYTHON]
Literalshould support 1-dim ndarray - [SPARK-42021] [SC-120584][CONNECT][PYTHON] Make
createDataFramesupportarray.array - [SPARK-41896] [SC-120506][SQL] Filtering by row index returns empty results
- [SPARK-41162] [SC-119742][SQL] Fix anti- and semi-join for self-join with aggregations
- [SPARK-41961] [SC-120501][SQL] Support table-valued functions with LATERAL
- [SPARK-41752] [SC-120550][SQL][UI] Group nested executions under the root execution
- [SPARK-42047] [SC-120586][SPARK-41900][CONNECT][PYTHON][12.X] Literal should support Numpy datatypes
- [SPARK-42028] [SC-120344][CONNECT][PYTHON] Truncating nanoseconds timestampsl
- [SPARK-42011] [SC-120534][CONNECT][PYTHON] Implement DataFrameReader.csv
- [SPARK-41990] [SC-120532][SQL] Use
FieldReference.columninstead ofapplyin V1 to V2 filter conversion - [SPARK-39217] [SC-120446][SQL] Makes DPP support the pruning side has Union
- [SPARK-42076] [SC-120551][CONNECT][PYTHON] Factor data conversion
arrow -> rowsout toconversion.py - [SPARK-42074] [SC-120540][SQL] Enable
KryoSerializerinTPCDSQueryBenchmarkto enforce SQL class registration - [SPARK-42012] [SC-120517][CONNECT][PYTHON] Implement DataFrameReader.orc
- [SPARK-41832] [SC-120513][CONNECT][PYTHON] Fix
DataFrame.unionByName, add allow_missing_columns - [SPARK-38651] [SC-120514] [SQL] Add
spark.sql.legacy.allowEmptySchemaWrite - [SPARK-41991] [SC-120406][SQL]
CheckOverflowInTableInsertshould accept ExpressionProxy as child - [SPARK-41232] [SC-120073][SQL][PYTHON] Adding array_append function
- [SPARK-42041] [SC-120512][SPARK-42013][CONNECT][PYTHON] DataFrameReader should support list of paths
- [SPARK-42071] [SC-120533][CORE] Register
scala.math.Ordering$Reverseto KyroSerializer - [SPARK-41986] [SC-120429][SQL] Introduce shuffle on SinglePartition
- [SPARK-42016] [SC-120428][CONNECT][PYTHON] Enable tests related to the nested column
- [SPARK-42042] [SC-120427][CONNECT][PYTHON]
DataFrameReadershould support StructType schema - [SPARK-42031] [SC-120389][CORE][SQL] Clean up
removemethods that do not need override - [SPARK-41746] [SC-120463][SPARK-41838][SPARK-41837][SPARK-41835][SPARK-41836][SPARK-41847][CONNECT][PYTHON] Make
createDataFrame(rows/lists/tuples/dicts)support nested types - [SPARK-41437] [SC-117601][SQL][ALL TESTS] Do not optimize the input query twice for v1 write fallback
- [SPARK-41840] [SC-119719][CONNECT][PYTHON] Add the missing alias
groupby - [SPARK-41846] [SC-119717][CONNECT][PYTHON] Enable doctests for window functions
- [SPARK-41914] [SC-120094][SQL] FileFormatWriter materializes AQE plan before accessing outputOrdering
- [SPARK-41805] [SC-119992][SQL] Reuse expressions in WindowSpecDefinition
- [SPARK-41977] [SC-120269][SPARK-41978][CONNECT] SparkSession.range to take float as arguments
- [SPARK-42029] [SC-120336][CONNECT] Add Guava Shading rules to
connect-commonto avoid startup failure - [SPARK-41989] [SC-120334][PYTHON] Avoid breaking logging config from pyspark.pandas
- [SPARK-42003] [SC-120331][SQL] Reduce duplicate code in ResolveGroupByAll
- [SPARK-41635] [SC-120313][SQL] Fix group by all error reporting
- [SPARK-41047] [SC-120291][SQL] Improve docs for round
- [SPARK-41822] [SC-120122][CONNECT] Setup gRPC connection for Scala/JVM client
- [SPARK-41879] [SC-120264][CONNECT][PYTHON] Make
DataFrame.collectsupport nested types - [SPARK-41887] [SC-120268][CONNECT][PYTHON] Make
DataFrame.hintaccept list typed parameter - [SPARK-41964] [SC-120210][CONNECT][PYTHON] Add the list of unsupported IO functions
- [SPARK-41595] [SC-120097][SQL] Support generator function explode/explode_outer in the FROM clause
- [SPARK-41957] [SC-120121][CONNECT][PYTHON] Enable the doctest for
DataFrame.hint - [SPARK-41886] [SC-120141][CONNECT][PYTHON]
DataFrame.intersectdoctest output has different order - [SPARK-41442] [SC-117795][SQL][ALL TESTS] Only update SQLMetric value if merging with valid metric
- [SPARK-41944] [SC-120046][CONNECT] Pass configurations when local remote mode is on
- [SPARK-41708] [SC-119838][SQL] Pull v1write information to
WriteFiles - [SPARK-41780] [SC-120000][SQL] Should throw INVALID_PARAMETER_VALUE.PATTERN when the parameters
regexpis invalid - [SPARK-41889] [SC-119975][SQL] Attach root cause to invalidPatternError & refactor error classes INVALID_PARAMETER_VALUE
- [SPARK-41860] [SC-120028][SQL] Make AvroScanBuilder and JsonScanBuilder case classes
- [SPARK-41945] [SC-120010][CONNECT][PYTHON] Python: connect client lost column data with pyarrow.Table.to_pylist
- [SPARK-41690] [SC-119102][SC-119087][SQL][CONNECT] Agnostic Encoders
- [SPARK-41354] [SC-119995][CONNECT][PYTHON] Implement RepartitionByExpression
- [SPARK-41581] [SC-119997][SQL] Update
_LEGACY_ERROR_TEMP_1230asINTERNAL_ERROR - [SPARK-41928] [SC-119972][CONNECT][PYTHON] Add the unsupported list for
functions - [SPARK-41933] [SC-119980][CONNECT] Provide local mode that automatically starts the server
- [SPARK-41899] [SC-119971][CONNECT][PYTHON] createDataFrame` should respect user provided DDL schema
- [SPARK-41936] [SC-119978][CONNECT][PYTHON] Make
withMetadatareuse thewithColumnsproto - [SPARK-41898] [SC-119931][CONNECT][PYTHON] Window.rowsBetween, Window.rangeBetween parameters typechecking parity with pyspark
- [SPARK-41939] [SC-119977][CONNECT][PYTHON] Add the unsupported list for
catalogfunctions - [SPARK-41924] [SC-119946][CONNECT][PYTHON] Make StructType support metadata and Implement
DataFrame.withMetadata - [SPARK-41934] [SC-119967][CONNECT][PYTHON] Add the unsupported function list for
session - [SPARK-41875] [SC-119969][CONNECT][PYTHON] Add test cases for
Dataset.to() - [SPARK-41824] [SC-119970][CONNECT][PYTHON] Ingore the doctest for explain of connect
- [SPARK-41880] [SC-119959][CONNECT][PYTHON] Make function
from_jsonaccept non-literal schema - [SPARK-41927] [SC-119952][CONNECT][PYTHON] Add the unsupported list for
GroupedData - [SPARK-41929] [SC-119949][CONNECT][PYTHON] Add function
array_compact - [SPARK-41827] [SC-119841][CONNECT][PYTHON] Make
GroupByaccept column list - [SPARK-41925] [SC-119905][SQL] Enable
spark.sql.orc.enableNestedColumnVectorizedReaderby default - [SPARK-41831] [SC-119853][CONNECT][PYTHON] Make
DataFrame.selectaccept column list - [SPARK-41455] [SC-119858][CONNECT][PYTHON] Make
DataFrame.collectdiscard the timezone info - [SPARK-41923] [SC-119861][CONNECT][PYTHON] Add
DataFrame.writeToto the unsupported list - [SPARK-41912] [SC-119837][SQL] Subquery should not validate CTE
- [SPARK-41828] [SC-119832][CONNECT][PYTHON][12.X] Make
createDataFramesupport empty dataframe - [SPARK-41905] [SC-119848][CONNECT] Support name as strings in slice
- [SPARK-41869] [SC-119845][CONNECT] Reject single string in dropDuplicates
- [SPARK-41830] [SC-119840][CONNECT][PYTHON] Make
DataFrame.sampleaccept the same parameters as PySpark - [SPARK-41849] [SC-119835][CONNECT] Implement DataFrameReader.text
- [SPARK-41861] [SC-119834][SQL] Make v2 ScanBuilders’ build() return typed scan
- [SPARK-41825] [SC-119710][CONNECT][PYTHON] Enable doctests related to
DataFrame.show - [SPARK-41855] [SC-119804][SC-119410][SPARK-41814][SPARK-41851][SPARK-41852][CONNECT][PYTHON][12.X] Make
createDataFramehandle None/NaN properly - [SPARK-41833] [SC-119685][SPARK-41881][SPARK-41815][CONNECT][PYTHON] Make
DataFrame.collecthandle None/NaN/Array/Binary porperly - [SPARK-39318] [SC-119713][SQL] Remove tpch-plan-stability WithStats golden files
- [SPARK-41791] [SC-119745] Add new file source metadata column types
- [SPARK-41790] [SC-119729][SQL] Set TRANSFORM reader and writer’s format correctly
- [SPARK-41829] [SC-119725][CONNECT][PYTHON] Add the missing ordering parameter in
SortandsortWithinPartitions - [SPARK-41576] [SC-119718][SQL] Assign name to _LEGACY_ERROR_TEMP_2051
- [SPARK-41821] [SC-119716][CONNECT][PYTHON] Fix doc test for DataFrame.describe
- [SPARK-41871] [SC-119714][CONNECT] DataFrame hint parameter can be str, float or int
- [SPARK-41720] [SC-119076][SQL] Rename UnresolvedFunc to UnresolvedFunctionName
- [SPARK-41573] [SC-119567][SQL] Assign name to _LEGACY_ERROR_TEMP_2136
- [SPARK-41862] [SC-119492][SQL] Fix correctness bug related to DEFAULT values in Orc reader
- [SPARK-41582] [SC-119482][SC-118701][CORE][SQL] Reuse
INVALID_TYPED_LITERALinstead of_LEGACY_ERROR_TEMP_0022
Maintenance updates
See Databricks Runtime 12.2 maintenance updates.
System environment
- Operating System: Ubuntu 20.04.5 LTS
- Java: Zulu 8.68.0.21-CA-linux64
- Scala: 2.12.15
- Python: 3.9.5
- R: 4.2.2
- Delta Lake: 2.2.0
Installed Python libraries
| Library | Version | Library | Version | Library | Version |
|---|---|---|---|---|---|
| argon2-cffi | 21.3.0 | argon2-cffi-bindings | 21.2.0 | asttokens | 2.0.5 |
| attrs | 21.4.0 | backcall | 0.2.0 | backports.entry-points-selectable | 1.2.0 |
| beautifulsoup4 | 4.11.1 | black | 22.3.0 | bleach | 4.1.0 |
| boto3 | 1.21.32 | botocore | 1.24.32 | certifi | 2021.10.8 |
| cffi | 1.15.0 | chardet | 4.0.0 | charset-normalizer | 2.0.4 |
| click | 8.0.4 | cryptography | 3.4.8 | cycler | 0.11.0 |
| Cython | 0.29.28 | dbus-python | 1.2.16 | debugpy | 1.5.1 |
| decorator | 5.1.1 | defusedxml | 0.7.1 | distlib | 0.3.6 |
| docstring-to-markdown | 0.11 | entrypoints | 0.4 | executing | 0.8.3 |
| facets-overview | 1.0.0 | fastjsonschema | 2.16.2 | filelock | 3.9.0 |
| fonttools | 4.25.0 | idna | 3.3 | ipykernel | 6.15.3 |
| ipython | 8.5.0 | ipython-genutils | 0.2.0 | ipywidgets | 7.7.2 |
| jedi | 0.18.1 | Jinja2 | 2.11.3 | jmespath | 0.10.0 |
| joblib | 1.1.1 | jsonschema | 4.4.0 | jupyter-client | 6.1.12 |
| jupyter_core | 4.11.2 | jupyterlab-pygments | 0.1.2 | jupyterlab-widgets | 1.0.0 |
| kiwisolver | 1.3.2 | MarkupSafe | 2.0.1 | matplotlib | 3.5.1 |
| matplotlib-inline | 0.1.2 | mccabe | 0.7.0 | mistune | 0.8.4 |
| mypy-extensions | 0.4.3 | nbclient | 0.5.13 | nbconvert | 6.4.4 |
| nbformat | 5.3.0 | nest-asyncio | 1.5.5 | nodeenv | 1.7.0 |
| notebook | 6.4.8 | numpy | 1.21.5 | packaging | 21.3 |
| pandas | 1.4.2 | pandocfilters | 1.5.0 | parso | 0.8.3 |
| pathspec | 0.9.0 | patsy | 0.5.2 | pexpect | 4.8.0 |
| pickleshare | 0.7.5 | Pillow | 9.0.1 | pip | 21.2.4 |
| platformdirs | 2.6.2 | plotly | 5.6.0 | pluggy | 1.0.0 |
| prometheus-client | 0.13.1 | prompt-toolkit | 3.0.20 | protobuf | 3.19.4 |
| psutil | 5.8.0 | psycopg2 | 2.9.3 | ptyprocess | 0.7.0 |
| pure-eval | 0.2.2 | pyarrow | 7.0.0 | pycparser | 2.21 |
| pyflakes | 2.5.0 | Pygments | 2.11.2 | PyGObject | 3.36.0 |
| pyodbc | 4.0.32 | pyparsing | 3.0.4 | pyright | 1.1.283 |
| pyrsistent | 0.18.0 | python-dateutil | 2.8.2 | python-lsp-jsonrpc | 1.0.0 |
| python-lsp-server | 1.6.0 | pytz | 2021.3 | pyzmq | 22.3.0 |
| requests | 2.27.1 | requests-unixsocket | 0.2.0 | rope | 0.22.0 |
| s3transfer | 0.5.0 | scikit-learn | 1.0.2 | scipy | 1.7.3 |
| seaborn | 0.11.2 | Send2Trash | 1.8.0 | setuptools | 61.2.0 |
| six | 1.16.0 | soupsieve | 2.3.1 | ssh-import-id | 5.10 |
| stack-data | 0.2.0 | statsmodels | 0.13.2 | tenacity | 8.0.1 |
| terminado | 0.13.1 | testpath | 0.5.0 | threadpoolctl | 2.2.0 |
| tokenize-rt | 4.2.1 | tomli | 1.2.2 | tornado | 6.1 |
| traitlets | 5.1.1 | typing_extensions | 4.1.1 | ujson | 5.1.0 |
| unattended-upgrades | 0.1 | urllib3 | 1.26.9 | virtualenv | 20.8.0 |
| wcwidth | 0.2.5 | webencodings | 0.5.1 | whatthepatch | 1.0.4 |
| wheel | 0.37.0 | widgetsnbextension | 3.6.1 | yapf | 0.31.0 |
Installed R libraries
R libraries are installed from the Microsoft CRAN snapshot on 2022-11-11.
| Library | Version | Library | Version | Library | Version |
|---|---|---|---|---|---|
| arrow | 10.0.0 | askpass | 1.1 | assertthat | 0.2.1 |
| backports | 1.4.1 | base | 4.2.2 | base64enc | 0.1-3 |
| bit | 4.0.4 | bit64 | 4.0.5 | blob | 1.2.3 |
| boot | 1.3-28 | brew | 1.0-8 | brio | 1.1.3 |
| broom | 1.0.1 | bslib | 0.4.1 | cachem | 1.0.6 |
| callr | 3.7.3 | caret | 6.0-93 | cellranger | 1.1.0 |
| chron | 2.3-58 | class | 7.3-21 | cli | 3.4.1 |
| clipr | 0.8.0 | clock | 0.6.1 | cluster | 2.1.4 |
| codetools | 0.2-19 | colorspace | 2.0-3 | commonmark | 1.8.1 |
| compiler | 4.2.2 | config | 0.3.1 | cpp11 | 0.4.3 |
| crayon | 1.5.2 | credentials | 1.3.2 | curl | 4.3.3 |
| data.table | 1.14.4 | datasets | 4.2.2 | DBI | 1.1.3 |
| dbplyr | 2.2.1 | desc | 1.4.2 | devtools | 2.4.5 |
| diffobj | 0.3.5 | digest | 0.6.30 | downlit | 0.4.2 |
| dplyr | 1.0.10 | dtplyr | 1.2.2 | e1071 | 1.7-12 |
| ellipsis | 0.3.2 | evaluate | 0.18 | fansi | 1.0.3 |
| farver | 2.1.1 | fastmap | 1.1.0 | fontawesome | 0.4.0 |
| forcats | 0.5.2 | foreach | 1.5.2 | foreign | 0.8-82 |
| forge | 0.2.0 | fs | 1.5.2 | future | 1.29.0 |
| future.apply | 1.10.0 | gargle | 1.2.1 | generics | 0.1.3 |
| gert | 1.9.1 | ggplot2 | 3.4.0 | gh | 1.3.1 |
| gitcreds | 0.1.2 | glmnet | 4.1-4 | globals | 0.16.1 |
| glue | 1.6.2 | googledrive | 2.0.0 | googlesheets4 | 1.0.1 |
| gower | 1.0.0 | graphics | 4.2.2 | grDevices | 4.2.2 |
| grid | 4.2.2 | gridExtra | 2.3 | gsubfn | 0.7 |
| gtable | 0.3.1 | hardhat | 1.2.0 | haven | 2.5.1 |
| highr | 0.9 | hms | 1.1.2 | htmltools | 0.5.3 |
| htmlwidgets | 1.5.4 | httpuv | 1.6.6 | httr | 1.4.4 |
| ids | 1.0.1 | ini | 0.3.1 | ipred | 0.9-13 |
| isoband | 0.2.6 | iterators | 1.0.14 | jquerylib | 0.1.4 |
| jsonlite | 1.8.3 | KernSmooth | 2.23-20 | knitr | 1.40 |
| labeling | 0.4.2 | later | 1.3.0 | lattice | 0.20-45 |
| lava | 1.7.0 | lifecycle | 1.0.3 | listenv | 0.8.0 |
| lubridate | 1.9.0 | magrittr | 2.0.3 | markdown | 1.3 |
| MASS | 7.3-58.2 | Matrix | 1.5-1 | memoise | 2.0.1 |
| methods | 4.2.2 | mgcv | 1.8-41 | mime | 0.12 |
| miniUI | 0.1.1.1 | ModelMetrics | 1.2.2.2 | modelr | 0.1.9 |
| munsell | 0.5.0 | nlme | 3.1-162 | nnet | 7.3-18 |
| numDeriv | 2016.8-1.1 | openssl | 2.0.4 | parallel | 4.2.2 |
| parallelly | 1.32.1 | pillar | 1.8.1 | pkgbuild | 1.3.1 |
| pkgconfig | 2.0.3 | pkgdown | 2.0.6 | pkgload | 1.3.1 |
| plogr | 0.2.0 | plyr | 1.8.7 | praise | 1.0.0 |
| prettyunits | 1.1.1 | pROC | 1.18.0 | processx | 3.8.0 |
| prodlim | 2019.11.13 | profvis | 0.3.7 | progress | 1.2.2 |
| progressr | 0.11.0 | promises | 1.2.0.1 | proto | 1.0.0 |
| proxy | 0.4-27 | ps | 1.7.2 | purrr | 0.3.5 |
| r2d3 | 0.2.6 | R6 | 2.5.1 | ragg | 1.2.4 |
| randomForest | 4.7-1.1 | rappdirs | 0.3.3 | rcmdcheck | 1.4.0 |
| RColorBrewer | 1.1-3 | Rcpp | 1.0.9 | RcppEigen | 0.3.3.9.3 |
| readr | 2.1.3 | readxl | 1.4.1 | recipes | 1.0.3 |
| rematch | 1.0.1 | rematch2 | 2.1.2 | remotes | 2.4.2 |
| reprex | 2.0.2 | reshape2 | 1.4.4 | rlang | 1.0.6 |
| rmarkdown | 2.18 | RODBC | 1.3-19 | roxygen2 | 7.2.1 |
| rpart | 4.1.19 | rprojroot | 2.0.3 | Rserve | 1.8-12 |
| RSQLite | 2.2.18 | rstudioapi | 0.14 | rversions | 2.1.2 |
| rvest | 1.0.3 | sass | 0.4.2 | scales | 1.2.1 |
| selectr | 0.4-2 | sessioninfo | 1.2.2 | shape | 1.4.6 |
| shiny | 1.7.3 | sourcetools | 0.1.7 | sparklyr | 1.7.8 |
| SparkR | 3.3.2 | spatial | 7.3-11 | splines | 4.2.2 |
| sqldf | 0.4-11 | SQUAREM | 2021.1 | stats | 4.2.2 |
| stats4 | 4.2.2 | stringi | 1.7.8 | stringr | 1.4.1 |
| survival | 3.4-0 | sys | 3.4.1 | systemfonts | 1.0.4 |
| tcltk | 4.2.2 | testthat | 3.1.5 | textshaping | 0.3.6 |
| tibble | 3.1.8 | tidyr | 1.2.1 | tidyselect | 1.2.0 |
| tidyverse | 1.3.2 | timechange | 0.1.1 | timeDate | 4021.106 |
| tinytex | 0.42 | tools | 4.2.2 | tzdb | 0.3.0 |
| urlchecker | 1.0.1 | usethis | 2.1.6 | utf8 | 1.2.2 |
| utils | 4.2.2 | uuid | 1.1-0 | vctrs | 0.5.0 |
| viridisLite | 0.4.1 | vroom | 1.6.0 | waldo | 0.4.0 |
| whisker | 0.4 | withr | 2.5.0 | xfun | 0.34 |
| xml2 | 1.3.3 | xopen | 1.0.0 | xtable | 1.8-4 |
| yaml | 2.3.6 | zip | 2.2.2 |
Installed Java and Scala libraries (Scala 2.12 cluster version)
| Group ID | Artifact ID | Version |
|---|---|---|
| antlr | antlr | 2.7.7 |
| com.amazonaws | amazon-kinesis-client | 1.12.0 |
| com.amazonaws | aws-java-sdk-autoscaling | 1.12.189 |
| com.amazonaws | aws-java-sdk-cloudformation | 1.12.189 |
| com.amazonaws | aws-java-sdk-cloudfront | 1.12.189 |
| com.amazonaws | aws-java-sdk-cloudhsm | 1.12.189 |
| com.amazonaws | aws-java-sdk-cloudsearch | 1.12.189 |
| com.amazonaws | aws-java-sdk-cloudtrail | 1.12.189 |
| com.amazonaws | aws-java-sdk-cloudwatch | 1.12.189 |
| com.amazonaws | aws-java-sdk-cloudwatchmetrics | 1.12.189 |
| com.amazonaws | aws-java-sdk-codedeploy | 1.12.189 |
| com.amazonaws | aws-java-sdk-cognitoidentity | 1.12.189 |
| com.amazonaws | aws-java-sdk-cognitosync | 1.12.189 |
| com.amazonaws | aws-java-sdk-config | 1.12.189 |
| com.amazonaws | aws-java-sdk-core | 1.12.189 |
| com.amazonaws | aws-java-sdk-datapipeline | 1.12.189 |
| com.amazonaws | aws-java-sdk-directconnect | 1.12.189 |
| com.amazonaws | aws-java-sdk-directory | 1.12.189 |
| com.amazonaws | aws-java-sdk-dynamodb | 1.12.189 |
| com.amazonaws | aws-java-sdk-ec2 | 1.12.189 |
| com.amazonaws | aws-java-sdk-ecs | 1.12.189 |
| com.amazonaws | aws-java-sdk-efs | 1.12.189 |
| com.amazonaws | aws-java-sdk-elasticache | 1.12.189 |
| com.amazonaws | aws-java-sdk-elasticbeanstalk | 1.12.189 |
| com.amazonaws | aws-java-sdk-elasticloadbalancing | 1.12.189 |
| com.amazonaws | aws-java-sdk-elastictranscoder | 1.12.189 |
| com.amazonaws | aws-java-sdk-emr | 1.12.189 |
| com.amazonaws | aws-java-sdk-glacier | 1.12.189 |
| com.amazonaws | aws-java-sdk-glue | 1.12.189 |
| com.amazonaws | aws-java-sdk-iam | 1.12.189 |
| com.amazonaws | aws-java-sdk-importexport | 1.12.189 |
| com.amazonaws | aws-java-sdk-kinesis | 1.12.189 |
| com.amazonaws | aws-java-sdk-kms | 1.12.189 |
| com.amazonaws | aws-java-sdk-lambda | 1.12.189 |
| com.amazonaws | aws-java-sdk-logs | 1.12.189 |
| com.amazonaws | aws-java-sdk-machinelearning | 1.12.189 |
| com.amazonaws | aws-java-sdk-opsworks | 1.12.189 |
| com.amazonaws | aws-java-sdk-rds | 1.12.189 |
| com.amazonaws | aws-java-sdk-redshift | 1.12.189 |
| com.amazonaws | aws-java-sdk-route53 | 1.12.189 |
| com.amazonaws | aws-java-sdk-s3 | 1.12.189 |
| com.amazonaws | aws-java-sdk-ses | 1.12.189 |
| com.amazonaws | aws-java-sdk-simpledb | 1.12.189 |
| com.amazonaws | aws-java-sdk-simpleworkflow | 1.12.189 |
| com.amazonaws | aws-java-sdk-sns | 1.12.189 |
| com.amazonaws | aws-java-sdk-sqs | 1.12.189 |
| com.amazonaws | aws-java-sdk-ssm | 1.12.189 |
| com.amazonaws | aws-java-sdk-storagegateway | 1.12.189 |
| com.amazonaws | aws-java-sdk-sts | 1.12.189 |
| com.amazonaws | aws-java-sdk-support | 1.12.189 |
| com.amazonaws | aws-java-sdk-swf-libraries | 1.11.22 |
| com.amazonaws | aws-java-sdk-workspaces | 1.12.189 |
| com.amazonaws | jmespath-java | 1.12.189 |
| com.chuusai | shapeless_2.12 | 2.3.3 |
| com.clearspring.analytics | stream | 2.9.6 |
| com.databricks | Rserve | 1.8-3 |
| com.databricks | jets3t | 0.7.1-0 |
| com.databricks.scalapb | compilerplugin_2.12 | 0.4.15-10 |
| com.databricks.scalapb | scalapb-runtime_2.12 | 0.4.15-10 |
| com.esotericsoftware | kryo-shaded | 4.0.2 |
| com.esotericsoftware | minlog | 1.3.0 |
| com.fasterxml | classmate | 1.3.4 |
| com.fasterxml.jackson.core | jackson-annotations | 2.13.4 |
| com.fasterxml.jackson.core | jackson-core | 2.13.4 |
| com.fasterxml.jackson.core | jackson-databind | 2.13.4.2 |
| com.fasterxml.jackson.dataformat | jackson-dataformat-cbor | 2.13.4 |
| com.fasterxml.jackson.datatype | jackson-datatype-joda | 2.13.4 |
| com.fasterxml.jackson.datatype | jackson-datatype-jsr310 | 2.13.4 |
| com.fasterxml.jackson.module | jackson-module-paranamer | 2.13.4 |
| com.fasterxml.jackson.module | jackson-module-scala_2.12 | 2.13.4 |
| com.github.ben-manes.caffeine | caffeine | 2.3.4 |
| com.github.fommil | jniloader | 1.1 |
| com.github.fommil.netlib | core | 1.1.2 |
| com.github.fommil.netlib | native_ref-java | 1.1 |
| com.github.fommil.netlib | native_ref-java-natives | 1.1 |
| com.github.fommil.netlib | native_system-java | 1.1 |
| com.github.fommil.netlib | native_system-java-natives | 1.1 |
| com.github.fommil.netlib | netlib-native_ref-linux-x86_64-natives | 1.1 |
| com.github.fommil.netlib | netlib-native_system-linux-x86_64-natives | 1.1 |
| com.github.luben | zstd-jni | 1.5.2-1 |
| com.github.wendykierp | JTransforms | 3.1 |
| com.google.code.findbugs | jsr305 | 3.0.0 |
| com.google.code.gson | gson | 2.8.6 |
| com.google.crypto.tink | tink | 1.6.1 |
| com.google.flatbuffers | flatbuffers-java | 1.12.0 |
| com.google.guava | guava | 15.0 |
| com.google.protobuf | protobuf-java | 2.6.1 |
| com.h2database | h2 | 2.0.204 |
| com.helger | profiler | 1.1.1 |
| com.jcraft | jsch | 0.1.50 |
| com.jolbox | bonecp | 0.8.0.RELEASE |
| com.lihaoyi | sourcecode_2.12 | 0.1.9 |
| com.microsoft.azure | azure-data-lake-store-sdk | 2.3.9 |
| com.ning | compress-lzf | 1.1 |
| com.sun.mail | javax.mail | 1.5.2 |
| com.tdunning | json | 1.8 |
| com.thoughtworks.paranamer | paranamer | 2.8 |
| com.trueaccord.lenses | lenses_2.12 | 0.4.12 |
| com.twitter | chill-java | 0.10.0 |
| com.twitter | chill_2.12 | 0.10.0 |
| com.twitter | util-app_2.12 | 7.1.0 |
| com.twitter | util-core_2.12 | 7.1.0 |
| com.twitter | util-function_2.12 | 7.1.0 |
| com.twitter | util-jvm_2.12 | 7.1.0 |
| com.twitter | util-lint_2.12 | 7.1.0 |
| com.twitter | util-registry_2.12 | 7.1.0 |
| com.twitter | util-stats_2.12 | 7.1.0 |
| com.typesafe | config | 1.2.1 |
| com.typesafe.scala-logging | scala-logging_2.12 | 3.7.2 |
| com.uber | h3 | 3.7.0 |
| com.univocity | univocity-parsers | 2.9.1 |
| com.zaxxer | HikariCP | 4.0.3 |
| commons-cli | commons-cli | 1.5.0 |
| commons-codec | commons-codec | 1.15 |
| commons-collections | commons-collections | 3.2.2 |
| commons-dbcp | commons-dbcp | 1.4 |
| commons-fileupload | commons-fileupload | 1.3.3 |
| commons-httpclient | commons-httpclient | 3.1 |
| commons-io | commons-io | 2.11.0 |
| commons-lang | commons-lang | 2.6 |
| commons-logging | commons-logging | 1.1.3 |
| commons-pool | commons-pool | 1.5.4 |
| dev.ludovic.netlib | arpack | 2.2.1 |
| dev.ludovic.netlib | blas | 2.2.1 |
| dev.ludovic.netlib | lapack | 2.2.1 |
| info.ganglia.gmetric4j | gmetric4j | 1.0.10 |
| io.airlift | aircompressor | 0.21 |
| io.delta | delta-sharing-spark_2.12 | 0.6.3 |
| io.dropwizard.metrics | metrics-core | 4.1.1 |
| io.dropwizard.metrics | metrics-graphite | 4.1.1 |
| io.dropwizard.metrics | metrics-healthchecks | 4.1.1 |
| io.dropwizard.metrics | metrics-jetty9 | 4.1.1 |
| io.dropwizard.metrics | metrics-jmx | 4.1.1 |
| io.dropwizard.metrics | metrics-json | 4.1.1 |
| io.dropwizard.metrics | metrics-jvm | 4.1.1 |
| io.dropwizard.metrics | metrics-servlets | 4.1.1 |
| io.netty | netty-all | 4.1.74.Final |
| io.netty | netty-buffer | 4.1.74.Final |
| io.netty | netty-codec | 4.1.74.Final |
| io.netty | netty-common | 4.1.74.Final |
| io.netty | netty-handler | 4.1.74.Final |
| io.netty | netty-resolver | 4.1.74.Final |
| io.netty | netty-tcnative-classes | 2.0.48.Final |
| io.netty | netty-transport | 4.1.74.Final |
| io.netty | netty-transport-classes-epoll | 4.1.74.Final |
| io.netty | netty-transport-classes-kqueue | 4.1.74.Final |
| io.netty | netty-transport-native-epoll-linux-aarch_64 | 4.1.74.Final |
| io.netty | netty-transport-native-epoll-linux-x86_64 | 4.1.74.Final |
| io.netty | netty-transport-native-kqueue-osx-aarch_64 | 4.1.74.Final |
| io.netty | netty-transport-native-kqueue-osx-x86_64 | 4.1.74.Final |
| io.netty | netty-transport-native-unix-common | 4.1.74.Final |
| io.prometheus | simpleclient | 0.7.0 |
| io.prometheus | simpleclient_common | 0.7.0 |
| io.prometheus | simpleclient_dropwizard | 0.7.0 |
| io.prometheus | simpleclient_pushgateway | 0.7.0 |
| io.prometheus | simpleclient_servlet | 0.7.0 |
| io.prometheus.jmx | collector | 0.12.0 |
| jakarta.annotation | jakarta.annotation-api | 1.3.5 |
| jakarta.servlet | jakarta.servlet-api | 4.0.3 |
| jakarta.validation | jakarta.validation-api | 2.0.2 |
| jakarta.ws.rs | jakarta.ws.rs-api | 2.1.6 |
| javax.activation | activation | 1.1.1 |
| javax.el | javax.el-api | 2.2.4 |
| javax.jdo | jdo-api | 3.0.1 |
| javax.transaction | jta | 1.1 |
| javax.transaction | transaction-api | 1.1 |
| javax.xml.bind | jaxb-api | 2.2.11 |
| javolution | javolution | 5.5.1 |
| jline | jline | 2.14.6 |
| joda-time | joda-time | 2.10.13 |
| net.java.dev.jna | jna | 5.8.0 |
| net.razorvine | pickle | 1.2 |
| net.sf.jpam | jpam | 1.1 |
| net.sf.opencsv | opencsv | 2.3 |
| net.sf.supercsv | super-csv | 2.2.0 |
| net.snowflake | snowflake-ingest-sdk | 0.9.6 |
| net.snowflake | snowflake-jdbc | 3.13.22 |
| net.sourceforge.f2j | arpack_combined_all | 0.1 |
| org.acplt.remotetea | remotetea-oncrpc | 1.1.2 |
| org.antlr | ST4 | 4.0.4 |
| org.antlr | antlr-runtime | 3.5.2 |
| org.antlr | antlr4-runtime | 4.8 |
| org.antlr | stringtemplate | 3.2.1 |
| org.apache.ant | ant | 1.9.2 |
| org.apache.ant | ant-jsch | 1.9.2 |
| org.apache.ant | ant-launcher | 1.9.2 |
| org.apache.arrow | arrow-format | 7.0.0 |
| org.apache.arrow | arrow-memory-core | 7.0.0 |
| org.apache.arrow | arrow-memory-netty | 7.0.0 |
| org.apache.arrow | arrow-vector | 7.0.0 |
| org.apache.avro | avro | 1.11.0 |
| org.apache.avro | avro-ipc | 1.11.0 |
| org.apache.avro | avro-mapred | 1.11.0 |
| org.apache.commons | commons-collections4 | 4.4 |
| org.apache.commons | commons-compress | 1.21 |
| org.apache.commons | commons-crypto | 1.1.0 |
| org.apache.commons | commons-lang3 | 3.12.0 |
| org.apache.commons | commons-math3 | 3.6.1 |
| org.apache.commons | commons-text | 1.10.0 |
| 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.derby | derby | 10.14.2.0 |
| org.apache.hadoop | hadoop-client-api | 3.3.4-databricks |
| org.apache.hadoop | hadoop-client-runtime | 3.3.4 |
| 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 | 4.5.13 |
| org.apache.httpcomponents | httpcore | 4.4.14 |
| org.apache.ivy | ivy | 2.5.0 |
| org.apache.logging.log4j | log4j-1.2-api | 2.18.0 |
| org.apache.logging.log4j | log4j-api | 2.18.0 |
| org.apache.logging.log4j | log4j-core | 2.18.0 |
| org.apache.logging.log4j | log4j-slf4j-impl | 2.18.0 |
| org.apache.mesos | mesos-shaded-protobuf | 1.4.0 |
| org.apache.orc | orc-core | 1.7.6 |
| org.apache.orc | orc-mapreduce | 1.7.6 |
| org.apache.orc | orc-shims | 1.7.6 |
| org.apache.parquet | parquet-column | 1.12.3-databricks-0002 |
| org.apache.parquet | parquet-common | 1.12.3-databricks-0002 |
| org.apache.parquet | parquet-encoding | 1.12.3-databricks-0002 |
| org.apache.parquet | parquet-format-structures | 1.12.3-databricks-0002 |
| org.apache.parquet | parquet-hadoop | 1.12.3-databricks-0002 |
| org.apache.parquet | parquet-jackson | 1.12.3-databricks-0002 |
| org.apache.thrift | libfb303 | 0.9.3 |
| org.apache.thrift | libthrift | 0.12.0 |
| org.apache.xbean | xbean-asm9-shaded | 4.20 |
| org.apache.yetus | audience-annotations | 0.13.0 |
| org.apache.zookeeper | zookeeper | 3.6.2 |
| org.apache.zookeeper | zookeeper-jute | 3.6.2 |
| org.checkerframework | checker-qual | 3.5.0 |
| org.codehaus.jackson | jackson-core-asl | 1.9.13 |
| org.codehaus.jackson | jackson-mapper-asl | 1.9.13 |
| org.codehaus.janino | commons-compiler | 3.0.16 |
| org.codehaus.janino | janino | 3.0.16 |
| org.datanucleus | datanucleus-api-jdo | 4.2.4 |
| org.datanucleus | datanucleus-core | 4.1.17 |
| org.datanucleus | datanucleus-rdbms | 4.1.19 |
| org.datanucleus | javax.jdo | 3.2.0-m3 |
| org.eclipse.jetty | jetty-client | 9.4.46.v20220331 |
| org.eclipse.jetty | jetty-continuation | 9.4.46.v20220331 |
| org.eclipse.jetty | jetty-http | 9.4.46.v20220331 |
| org.eclipse.jetty | jetty-io | 9.4.46.v20220331 |
| org.eclipse.jetty | jetty-jndi | 9.4.46.v20220331 |
| org.eclipse.jetty | jetty-plus | 9.4.46.v20220331 |
| org.eclipse.jetty | jetty-proxy | 9.4.46.v20220331 |
| org.eclipse.jetty | jetty-security | 9.4.46.v20220331 |
| org.eclipse.jetty | jetty-server | 9.4.46.v20220331 |
| org.eclipse.jetty | jetty-servlet | 9.4.46.v20220331 |
| org.eclipse.jetty | jetty-servlets | 9.4.46.v20220331 |
| org.eclipse.jetty | jetty-util | 9.4.46.v20220331 |
| org.eclipse.jetty | jetty-util-ajax | 9.4.46.v20220331 |
| org.eclipse.jetty | jetty-webapp | 9.4.46.v20220331 |
| org.eclipse.jetty | jetty-xml | 9.4.46.v20220331 |
| org.eclipse.jetty.websocket | websocket-api | 9.4.46.v20220331 |
| org.eclipse.jetty.websocket | websocket-client | 9.4.46.v20220331 |
| org.eclipse.jetty.websocket | websocket-common | 9.4.46.v20220331 |
| org.eclipse.jetty.websocket | websocket-server | 9.4.46.v20220331 |
| org.eclipse.jetty.websocket | websocket-servlet | 9.4.46.v20220331 |
| org.fusesource.leveldbjni | leveldbjni-all | 1.8 |
| org.glassfish.hk2 | hk2-api | 2.6.1 |
| org.glassfish.hk2 | hk2-locator | 2.6.1 |
| org.glassfish.hk2 | hk2-utils | 2.6.1 |
| org.glassfish.hk2 | osgi-resource-locator | 1.0.3 |
| org.glassfish.hk2.external | aopalliance-repackaged | 2.6.1 |
| org.glassfish.hk2.external | jakarta.inject | 2.6.1 |
| org.glassfish.jersey.containers | jersey-container-servlet | 2.36 |
| org.glassfish.jersey.containers | jersey-container-servlet-core | 2.36 |
| org.glassfish.jersey.core | jersey-client | 2.36 |
| org.glassfish.jersey.core | jersey-common | 2.36 |
| org.glassfish.jersey.core | jersey-server | 2.36 |
| org.glassfish.jersey.inject | jersey-hk2 | 2.36 |
| org.hibernate.validator | hibernate-validator | 6.1.0.Final |
| org.javassist | javassist | 3.25.0-GA |
| org.jboss.logging | jboss-logging | 3.3.2.Final |
| org.jdbi | jdbi | 2.63.1 |
| org.jetbrains | annotations | 17.0.0 |
| org.joda | joda-convert | 1.7 |
| org.jodd | jodd-core | 3.5.2 |
| org.json4s | json4s-ast_2.12 | 3.7.0-M11 |
| org.json4s | json4s-core_2.12 | 3.7.0-M11 |
| org.json4s | json4s-jackson_2.12 | 3.7.0-M11 |
| org.json4s | json4s-scalap_2.12 | 3.7.0-M11 |
| org.lz4 | lz4-java | 1.8.0 |
| org.mariadb.jdbc | mariadb-java-client | 2.7.4 |
| org.mlflow | mlflow-spark | 2.1.1 |
| org.objenesis | objenesis | 2.5.1 |
| org.postgresql | postgresql | 42.3.3 |
| org.roaringbitmap | RoaringBitmap | 0.9.25 |
| org.roaringbitmap | shims | 0.9.25 |
| org.rocksdb | rocksdbjni | 6.28.2 |
| org.rosuda.REngine | REngine | 2.1.0 |
| org.scala-lang | scala-compiler_2.12 | 2.12.14 |
| org.scala-lang | scala-library_2.12 | 2.12.14 |
| org.scala-lang | scala-reflect_2.12 | 2.12.14 |
| org.scala-lang.modules | scala-collection-compat_2.12 | 2.4.3 |
| org.scala-lang.modules | scala-parser-combinators_2.12 | 1.1.2 |
| org.scala-lang.modules | scala-xml_2.12 | 1.2.0 |
| org.scala-sbt | test-interface | 1.0 |
| org.scalacheck | scalacheck_2.12 | 1.14.2 |
| org.scalactic | scalactic_2.12 | 3.0.8 |
| org.scalanlp | breeze-macros_2.12 | 1.2 |
| org.scalanlp | breeze_2.12 | 1.2 |
| org.scalatest | scalatest_2.12 | 3.0.8 |
| org.slf4j | jcl-over-slf4j | 1.7.36 |
| org.slf4j | jul-to-slf4j | 1.7.36 |
| org.slf4j | slf4j-api | 1.7.36 |
| org.spark-project.spark | unused | 1.0.0 |
| org.threeten | threeten-extra | 1.5.0 |
| org.tukaani | xz | 1.9 |
| org.typelevel | algebra_2.12 | 2.0.1 |
| org.typelevel | cats-kernel_2.12 | 2.1.1 |
| org.typelevel | macro-compat_2.12 | 1.1.1 |
| org.typelevel | spire-macros_2.12 | 0.17.0 |
| org.typelevel | spire-platform_2.12 | 0.17.0 |
| org.typelevel | spire-util_2.12 | 0.17.0 |
| org.typelevel | spire_2.12 | 0.17.0 |
| org.wildfly.openssl | wildfly-openssl | 1.0.7.Final |
| org.xerial | sqlite-jdbc | 3.8.11.2 |
| org.xerial.snappy | snappy-java | 1.1.8.4 |
| org.yaml | snakeyaml | 1.24 |
| oro | oro | 2.0.8 |
| pl.edu.icm | JLargeArrays | 1.5 |
| software.amazon.cryptools | AmazonCorrettoCryptoProvider | 1.6.1-linux-x86_64 |
| software.amazon.ion | ion-java | 1.0.2 |
| stax | stax-api | 1.0.1 |
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