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Databricks Runtime 12.2 LTS

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Die folgenden Versionshinweise enthalten Informationen zur Databricks Runtime-Version 12.2 LTS, die von Apache Spark 3.3.2 unterstützt wird.

Diese Version wurde von Databricks im März 2023 veröffentlicht.

Hinweis

LTS bedeutet, dass diese Version langfristig unterstützt wird. Weitere Informationen finden Sie unter Databricks Runtime LTS-Versionslebenszyklus.

Tipp

Hinweise zu Databricks-Runtime-Versionen, die das Ende des Supports (EoS) erreicht haben, finden Sie unter Versionshinweise zu Databricks Runtime am Ende des Supports. Die EoS-Databricks-Runtime-Versionen wurden eingestellt und werden möglicherweise nicht aktualisiert.

Änderungen des Verhaltens

[Bahnbrechende Änderung] Für die neue Python-Version ist das Aktualisieren von Databricks Connect V1 Python-Clients erforderlich.

Um erforderliche Sicherheitspatches anzuwenden, wird die Python-Version in Databricks Runtime 12.2 LTS von 3.9.5 auf 3.9.19 aktualisiert. Da diese Änderungen möglicherweise Fehler in Clients verursachen, die bestimmte PySpark-Funktionen verwenden, müssen alle Clients, die Databricks Connect V1 für Python mit Databricks Runtime 12.2 LTS verwenden, auf Python 3.9.7 oder höher aktualisiert werden.

Neue Features und Verbesserungen

Delta Lake-Schemaentwicklung unterstützt das Angeben von Quellspalten in merge-Anweisungen

Wenn die Schemaentwicklung aktiviert ist, können Sie jetzt in Einfüge- oder Aktualisierungsaktionen für Mergeanweisungen Spalten angeben, die nur in der Quelltabelle vorhanden sind. In Databricks Runtime 12.1 und niedriger können nur INSERT *- oder UPDATE SET *-Aktionen für die Schemaentwicklung mit Merge verwendet werden. Weitere Informationen finden Sie unter Automatische Schemaentwicklung für Delta Lake-Merge.

Workloads für strukturiertes Streaming werden in Clustern mit dem Modus „gemeinsamer Zugriff“ unterstützt

Sie können jetzt strukturiertes Streaming verwenden, um mit Unity Catalog in freigegebenen Clustern zu interagieren. Es gelten einige Einschränkungen. Weitere Informationen finden Sie unter Welche Funktionen von strukturiertem Streaming unterstützt Unity Catalog?.

Neue Features für Predictive I/O

Für die Foreachbatch-Senke ist jetzt Photon-Unterstützung verfügbar. Workloads, die aus einer Quelle streamen und in Delta-Tabellen mergen oder in mehrere Senken schreiben, können jetzt von der Photonized Foreachbatch-Senke profitieren.

Unterstützung für implizites laterales Spaltenaliasing

Azure Databricks unterstützt jetzt standardmäßig implizites laterales Spaltenaliasing. Sie können jetzt einen zuvor in derselben SELECT-Liste angegebenen Ausdruck wiederverwenden. Beispiel: Bei Angabe von SELECT 1 AS a, a + 1 AS b kann das a in a + 1 als das zuvor definierte 1 AS a aufgelöst werden. Weitere Details zur Auflösungsreihenfolge finden Sie unter Namensauflösung. Um dieses Feature zu deaktivieren, können Sie spark.sql.lateralColumnAlias.enableImplicitResolution auf false festlegen.

Neus forEachBatch-Feature

Photon wird jetzt unterstützt, wenn zum Schreiben in eine Datensenke foreachBatch verwendet wird.

Standardisierte Verbindungsoptionen für den Abfrageverbund

Sie können jetzt einen einheitlichen Satz von Optionen (Host, Port, Datenbank, Benutzer, Kennwort) verwenden, um eine Verbindung mit Datenquellen herzustellen, die im Abfrageverbund unterstützt werden. Port ist optional und verwendet die Standardportnummer für jede Datenquelle, sofern nicht anders angegeben.

Erweiterte SQL-Funktionsbibliothek für die Arrayverwaltung

Sie können jetzt mithilfe von array_compact alle NULL-Elemente aus einem Array entfernen. Verwenden Sie zum Anfügen von Elementen an ein Array array_append.

Neue Maskenfunktion zum Anonymisieren von Zeichenfolgen

Rufen Sie die Maskenfunktion auf, um vertrauliche Zeichenfolgenwerte zu anonymisieren.

Allgemeine Fehlerbedingungen geben jetzt SQLSTATE-Werte zurück.

Die meisten Fehlerbedingungen in Databricks Runtime enthalten jetzt dokumentierte SQLSTATE-Werte, die verwendet werden können, um in standardmäßiger, SQL-konformer Weise auf Fehler zu testen.

Aufrufen von Generatorfunktionen in der FROM-Klausel

Sie können jetzt Tabellenwertgeneratorfunktionen wie explode in der regulären FROM-Klausel einer Abfrage aufrufen. Dadurch wird der Generatorfunktionsaufruf an andere integrierte und benutzerdefinierte Tabellenfunktionen angepasst.

Unterstützung für Protokollpuffer ist allgemein verfügbar

Sie können die Funktionen from_protobuf und to_protobuf verwenden, um Daten zwischen Binär- und Strukturtypen auszutauschen. Weitere Informationen finden Sie unter Lesen und Schreiben von Protokollpuffern.

Zieldefinition für Notizbuchvariablen und -funktionen

In Notizbüchern können Sie schnell zur Definition einer Variablen, einer Funktion oder zum Code hinter einer %run-Anweisung wechseln, indem Sie mit der rechten Maustaste auf die Variable oder den Funktionsnamen klicken.

Notizbuchschnellkorrektur für automatisch importierte Bibliotheken

Databricks-Notizbücher bieten jetzt ein Schnellkorrekturfeature für das automatische Importieren von Bibliotheken. Wenn Sie vergessen, eine Bibliothek wie Pandas zu importieren, zeigen Sie mit der Maus auf die unterstrichene Syntaxwarnung, und klicken Sie dann auf Schnellkorrektur. Für dieses Feature muss der Databricks-Assistent in Ihrem Arbeitsbereich aktiviert sein.

Fehlerkorrekturen

  • Verbesserte Konsistenz für das Delta-Commitverhalten für leere Transaktionen im Zusammenhang mit update-, delete- und merge-Befehlen. Auf der Isolationsstufe WriteSerializable erstellen Befehle, die keine Änderungen zur Folge haben, jetzt einen leeren Commit. Auf der Isolationsstufe Serializable erstellen solche leeren Transaktionen jetzt keinen Commit.

Verhaltensänderungen

Verhaltensänderungen mit dem neuen Feature für laterale Spaltenaliase

Das neue Feature für laterale Spaltenaliase führt in den folgenden Fällen zu Verhaltensänderungen während der Namensauflösung:

  • Laterale Spaltenaliase haben nun Vorrang vor korrelierten Verweisen mit demselben Namen. Für die Abfrage SELECT (SELECT c2 FROM (SELECT 1 AS c1, c1 AS c2) WHERE c2 > 5) FROM VALUES(6) AS t(c1) wurde z. B. das c1-Element im inneren c1 AS c2-Element in den korrelierten Verweis t.c1 aufgelöst, ändert sich jetzt jedoch in den lateralen Spaltenalias 1 AS c1. Die Abfrage gibt jetzt NULL zurück.
  • Laterale Spaltenaliase haben jetzt Vorrang vor Funktionsparametern mit demselben Namen. Beispielsweise wurde für die Funktion CREATE OR REPLACE TEMPORARY FUNCTION func(x INT) RETURNS TABLE (a INT, b INT, c DOUBLE) RETURN SELECT x + 1 AS x, x das x-Element im Funktionstext in den Funktionsparameter x aufgelöst, ändert sich jedoch im Funktionstext in den lateralen Spaltenalias x + 1. Die Abfrage SELECT * FROM func(1) gibt jetzt 2, 2 zurück.
  • Um das Feature für laterale Spaltenaliase zu deaktivieren, legen Sie spark.sql.lateralColumnAlias.enableImplicitResolution auf false fest. Weitere Informationen finden Sie unter Namensauflösung.

Bibliotheksupgrades

  • Aktualisierte Python-Bibliotheken:
    • filelock von 3.8.2 auf 3.9.0
    • joblib von 1.1.0 auf 1.1.1
    • platformdirs von 2.6.0 auf 2.6.2
    • whatthepatch von 1.0.3 auf 1.0.4
  • Aktualisierte R-Bibliotheken:
    • class von 7.3-20 auf 7.3-21
    • codetools von 0.2-18 auf 0.2-19
    • MASS von 7.3-58 auf 7.3-58.2
    • nlme von 3.1-160 auf 3.1-162
    • Rserve von 1.8-11 auf 1.8-12
    • SparkR von 3.3.1 auf 3.3.2

Verhaltensänderungen

  • Benutzer*innen müssen jetzt über die Berechtigungen SELECT und MODIFY für jede Datei verfügen, wenn sie ein Schema mit einem definierten Speicherort erstellen.

Apache Spark

Databricks Runtime 12.2 enthält Apache Spark 3.3.2. Diese Version enthält alle Spark-Fixes und -Verbesserungen, die in Databricks Runtime 12.1 (EoS) enthalten sind, sowie die folgenden zusätzlichen Fehlerkorrekturen und Verbesserungen an 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_COLUMN into internalError
  • [SPARK-42136] [SC-122554] Refactor BroadcastHashJoinExec output partitioning calculation
  • [SPARK-42158] [SC-121610][SQL] Integrate _LEGACY_ERROR_TEMP_1003 into FIELD_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_1317 into UNRESOLVED_COLUMN.WITH_SUGGESTION
  • [SPARK-42234] [SC-122354][SQL] Rename error class: UNSUPPORTED_FEATURE.REPEATED_PIVOT
  • [SPARK-42343] [SC-122437][CORE] Ignore IOException in handleBlockRemovalFailure if 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 of contains() 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 SortOrder by 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 SparkCoreErrors into 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 createDataFrame support AtomicType -> StringType coercion
  • [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=FAIR should provide FAIR scheduler
  • [SPARK-41572] [SC-120772][SQL] Assign name to _LEGACY_ERROR_TEMP_2149
  • [SPARK-41983] [SC-121224][SQL] Umbenennen und Verbessern der Fehlermeldung für 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] Umbenennen und Verbessern der Fehlermeldung für 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_append to 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 connect module
  • [SPARK-42099] [SC-121114][SPARK-41845][CONNECT][PYTHON] Fix count(*) and count(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#compute function close dataWriter
  • [SPARK-42077] [SC-120553][CONNECT][PYTHON] Literal should throw TypeError for unsupported DataType
  • [SPARK-42108] [SC-120898][SQL] Make Analyzer transform Count(*) into Count(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_2009 as INTERNAL_ERROR.
  • [SPARK-41579] [SC-120770][SQL] Assign name to _LEGACY_ERROR_TEMP_1249
  • [SPARK-41974] [SC-120766][SQL] Turn INCORRECT_END_OFFSET into INTERNAL_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 toDF and withColumnsRenamed
  • [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_schema support 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.errors and error classes for PySpark.
  • [SPARK-41903] [SC-120543][CONNECT][PYTHON] Literal should support 1-dim ndarray
  • [SPARK-42021] [SC-120584][CONNECT][PYTHON] Make createDataFrame support array.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.column instead of apply in 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 -> rows out to conversion.py
  • [SPARK-42074] [SC-120540][SQL] Enable KryoSerializer in TPCDSQueryBenchmark to 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] CheckOverflowInTableInsert should 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$Reverse to 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] DataFrameReader should support StructType schema
  • [SPARK-42031] [SC-120389][CORE][SQL] Clean up remove methods 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-common to 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.collect support nested types
  • [SPARK-41887] [SC-120268][CONNECT][PYTHON] Make DataFrame.hint accept 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.intersect doctest 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 regexp is invalid
  • [SPARK-41889] [SC-119975][SQL] Anfügen der Stammursache für invalidPatternError und Umgestalten der Fehlerklassen 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_1230 as INTERNAL_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 withMetadata reuse the withColumns proto
  • [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 catalog functions
  • [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_json accept 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 GroupBy accept column list
  • [SPARK-41925] [SC-119905][SQL] Enable spark.sql.orc.enableNestedColumnVectorizedReader by default
  • [SPARK-41831] [SC-119853][CONNECT][PYTHON] Make DataFrame.select accept column list
  • [SPARK-41455] [SC-119858][CONNECT][PYTHON] Make DataFrame.collect discard the timezone info
  • [SPARK-41923] [SC-119861][CONNECT][PYTHON] Add DataFrame.writeTo to the unsupported list
  • [SPARK-41912] [SC-119837][SQL] Subquery should not validate CTE
  • [SPARK-41828] [SC-119832][CONNECT][PYTHON][12.X] Make createDataFrame support 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.sample accept 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 createDataFrame handle None/NaN properly
  • [SPARK-41833] [SC-119685][SPARK-41881][SPARK-41815][CONNECT][PYTHON] Make DataFrame.collect handle 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 Sort and sortWithinPartitions
  • [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_LITERAL instead of _LEGACY_ERROR_TEMP_0022

Wartungsupdates

Weitere Informationen finden Sie unter Wartungsupdates für Databricks Runtime 12.2.

Systemumgebung

  • Betriebssystem: Ubuntu 20.04.5 LTS
  • Java: Zulu 8.68.0.21-CA-linux64
  • Scala: 2.12.15
  • Python: 3.9.19
  • R: 4.2.2
  • Delta Lake: 2.2.0

Installierte Python-Bibliotheken

Bibliothek Version Bibliothek Version Bibliothek 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
Klicken 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 Packen 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
sechs 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

Installierte R-Bibliotheken

R-Bibliotheken werden aus der Microsoft CRAN-Momentaufnahme vom 11.11.2022 installiert.

Bibliothek Version Bibliothek Version Bibliothek Version
Pfeil 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 Anmeldeinformationen 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 Evaluieren 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 Grafiken 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 Lebenszyklus 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 Fortschritt 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

Installierte Java- und Scala-Bibliotheken (Scala 2.12-Clusterversion)

Gruppen-ID Artefakt-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 Datenstrom 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.microsoft.sqlserver mssql-jdbc 11.2.2.jre8
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 Sammlung 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