Databricks Runtime 6.1 (niet ondersteund)
Databricks heeft deze afbeelding uitgebracht in oktober 2019.
De volgende releaseopmerkingen bevatten informatie over Databricks Runtime 6.1, mogelijk gemaakt door Apache Spark.
Nieuwe functies
Verbeteringen in Delta Lake
Python-API's voor Delta-tabellen (openbare preview)
U kunt nu gegevens verwijderen uit en upsert in Delta-tabellen, tabellen opschonen en tabelgeschiedenis ophalen met behulp van Python-API's.
Zie Wat is Delta Lake? voor meer informatie.
Dynamic File Pruning (DFP) standaard ingeschakeld
DFP maakt gebruik van metagegevens van Delta-tabellen (bijvoorbeeld minimale/maximale kolomstatistieken in een bestand) verbetert de prestaties van veel query's aanzienlijk door bestanden met kolomwaarden buiten het bereik over te slaan. In tegenstelling tot DPP (Dynamic Partition Pruning), werkt DFP ook voor niet-gepartitioneerde kolommen. DFP kan nuttig zijn voor workloads die worden samengevoegd op niet-gepartitioneerde sleutels.
Clusters configureren met uw eigen containerafbeelding met behulp van Databricks Containerservices
Met Databricks Container Services kunt u een cluster configureren met uw eigen containerinstallatiekopieën. U kunt complexe omgevingen in een container vooraf verpakken, publiceren naar een populair containerregister, zoals ACR, ECR of Docker Hub, en vervolgens Databricks de installatiekopie laten ophalen om een cluster te bouwen. Enkele voorbeelden van gebruiksvoorbeelden zijn:
- Bibliotheekaanpassing: u hebt volledige controle over de systeembibliotheken die u wilt installeren
- Golden Container Environment : uw Docker-installatiekopieën zijn een vergrendelde omgeving die nooit verandert
- Docker CI/CD-integratie: u kunt Azure Databricks integreren met uw Docker CI/CD-pijplijnen
Er zijn veel andere use cases, variërend van het opgeven van configuratie tot het installeren van machine learning-pakketten.
Zie Containers aanpassen met Databricks Container Service voor meer informatie.
Spark-configuratie-eigenschappen en omgevingsvariabelen verwijzen naar geheimen (openbare preview)
Vanaf de onderhoudsupdate van 7 november van Databricks Runtime 6.1 is de mogelijkheid om te verwijzen naar een geheim in een Spark-configuratie-eigenschap of -omgevingsvariabele in openbare preview. Zie Een geheim gebruiken in een Spark-configuratie-eigenschap of omgevingsvariabele voor meer informatie.
Ganglia-metrische gegevens zijn nu beschikbaar op clusters met tabel-ACL's en referentiepassthrough
Voorheen werden metrische ganglia-gegevens niet ondersteund op clusters waarvoor toegangsbeheer voor tabellen of referentiepassthrough is ingeschakeld. Ze zijn nu beschikbaar.
Verbeteringen
- Netty-all bijgewerkt van 4.1.17.Final naar 4.1.39.Final
- Snowflake-connector bijgewerkt van 2.4.10 naar 2.5.3
Referentie-passthrough
- Microsoft Entra ID-referenties worden nu doorgegeven in notebooks die worden uitgevoerd met behulp van
dbutils.notebook.run(). - Alle PySpark ML-klassen worden nu ondersteund.
- De Ganglia-gebruikersinterface is nu beschikbaar.
Zie Toegang tot Azure Data Lake Storage met behulp van Microsoft Entra ID (voorheen Azure Active Directory) referentiepassthrough (verouderd) voor meer informatie.
Apache Spark
Databricks Runtime 6.1 bevat Apache Spark 2.4.4. Deze release bevat alle Spark-oplossingen en -verbeteringen die zijn opgenomen in Databricks Runtime 6.0 (niet-ondersteund) en de volgende aanvullende bugfixes en verbeteringen in Spark:
- [SPARK-28782][SQL] Generatorondersteuning in statistische expressies
- [SPARK-19147][CORE] Fout in taak correct afhandelen nadat de uitvoerder is gestopt
- [SPARK-26003][SQL] Prestaties van SQLAppStatusListener.aggregateMetrics verbeteren
- [SPARK-29101][SQL] Aantal-API voor CSV-bestand herstellen wanneer DE DROPMALFORMED-modus is geselecteerd
- [SPARK-29042][CORE] RDD op basis van steekproeven met niet-geordende invoer moet INDETERMINATE zijn
- [SPARK-29124][CORE] MurmurHash3 bytesHash(data, seed) gebruiken in plaats van bytesHash(data)
- [SPARK-26713][CORE] IO-threads onderbreken in PipedRDD wanneer de taak is voltooid
- [SPARK-29046][SQL] NPE in SQLConf.get herstellen wanneer actieve SparkContext wordt gestopt
- [SPARK-28483] De taak in de barrièremodus vasthangen op barrière() wanneer de taak is gedood
- [SPARK-29087][CORE] [STREAMING] DelegatingServletContextHandler gebruiken om CCE te voorkomen
- [SPARK-27122][CORE] Jetty-klassen mogen niet worden geretourneerd via getters in org.apache.spark.ui.WebUI
- [SPARK-11150][SQL] Dynamische partities verwijderen
- [SPARK-27592][SQL] De tabel met buckets voor gegevensbronnen correct instellen
- [SPARK-23519][SQL] Weergave maken werkt vanuit query's met dubbele uitvoerkolommen
- [SPARK-29011][BUILD] Netty-all bijwerken van 4.1.17-Finale tot 4.1.39-Finale
- [SPARK-28912] Probleem opgelost met MatchError in getCheckpointFiles()
- [SPARK-26046][SS] StreamingQueryManager.listListeners() toevoegen
- [SPARK-3137][CORE] Vervang de wereldwijde TorrentBroadcast-vergrendeling door fijnkorrelige KeyLock (6.x)
- [SPARK-28709][DSTREAMS] StreamingContext-lek via streaming oplossen
- [SPARK-22955][DSTREAMS] - het probleemloos afsluiten mag niet leiden tot taak gen...
- [SPARK-28730][SPARK-28495] AnSI-archieftoewijzingsbeleid introduceren voor tabelinvoeging
- [SPARK-27992][SPARK-28881][PYTHON] Toestaan dat Python wordt samengevoegd met verbindingsthread om fouten door te geven
- [SPARK-28025][SS] FileContextBasedCheckpointFileManager oplossen die crc-bestanden lekken
- [SPARK-28699][CORE] Een hoekcase herstellen voor het afbreken van onbepaalde fase
- [SPARK-28780][ML] LinearSVCModel.setWeightCol verwijderen
- [SPARK-28844][SQL] Typfout in SQLConf-FILE_COMRESSION_FACTOR opgelost
- [SPARK-26895][CORE] prepareSubmitEnvironment moet worden aangeroepen binnen doAs voor proxygebruikers
Onderhoudsupdates
Zie onderhoudsupdates voor Databricks Runtime 6.1.
Systeemomgeving
- Besturingssysteem: Ubuntu 16.04.6 LTS
- Java: 1.8.0_232
- Scala: 2.11.12
- Python: 3.7.3
- R: R versie 3.6.1 (2019-07-05)
- Delta Lake: 0.4.0
Notitie
Hoewel Scala 2.12 beschikbaar is als experimentele functie in Apache Spark 2.4, wordt dit niet ondersteund in Databricks Runtime 6.1.
Geïnstalleerde Python-bibliotheken
| Bibliotheek | Versie | Bibliotheek | Versie | Bibliotheek | Versie |
|---|---|---|---|---|---|
| asn1crypto | 0.24.0 | backcall | 0.1.0 | Boto | 2.49.0 |
| boto3 | 1.9.162 | botocore | 1.12.163 | certifi | 2019.3.9 |
| Cffi | 1.12.2 | Chardet | 3.0.4 | Cryptografie | 2.6.1 |
| cycler | 0.10.0 | Cython | 0.29.6 | Decorator | 4.4.0 |
| Docutils | 0,14 | idna | 2.8 | Ipython | 7.4.0 |
| ipython-genutils | 0.2.0 | Jedi | 0.13.3 | jmespath | 0.9.4 |
| kiwisolver | 1.1.0 | matplotlib | 3.0.3 | Numpy | 1.16.2 |
| Pandas | 0.24.2 | parso | 0.3.4 | Patsy | 0.5.1 |
| Pexpect | 4.6.0 | pickleshare | 0.7.5 | Pip | 19.0.3 |
| prompt-toolkit | 2.0.9 | psycopg2 | 2.7.6.1 | ptyprocess | 0.6.0 |
| pyarrow | 0.13.0 | pycparser | 2.19 | Pycurl | 7.43.0 |
| Pygments | 2.3.1 | Pygobject | 3.20.0 | Pyopenssl | 19.0.0 |
| Pyparsing | 2.4.2 | PySocks | 1.6.8 | python-apt | 1.1.0.b1+ubuntu0.16.04.5 |
| python-dateutil | 2.8.0 | pytz | 2018.9 | requests | 2.21.0 |
| s3transfer | 0.2.1 | scikit-learn | 0.20.3 | Scipy | 1.2.1 |
| seaborn | 0.9.0 | Setuptools | 40.8.0 | Zes | 1.12.0 |
| ssh-import-id | 5.5 | statsmodels | 0.9.0 | traitlets | 4.3.2 |
| upgrades zonder toezicht | 0,1 | urllib3 | 1.24.1 | Virtualenv | 16.4.1 |
| wcwidth | 0.1.7 | Wiel | 0.33.1 |
Geïnstalleerde R-bibliotheken
| Bibliotheek | Versie | Bibliotheek | Versie | Bibliotheek | Versie |
|---|---|---|---|---|---|
| Abind | 1.4-5 | Askpass | 1.1 | assertthat | 0.2.1 |
| Backports | 1.1.3 | base | 3.6.1 | base64enc | 0.1-3 |
| BH | 1.69.0-1 | bit | 1.1-14 | bit64 | 0.9-7 |
| Bitops | 1.0-6 | blob | 1.1.1 | opstarten | 1.3-23 |
| Brouwsel | 1.0-6 | beller | 3.2.0 | car | 3.0-2 |
| carData | 3.0-2 | caret | 6.0-82 | cellranger | 1.1.0 |
| Chron | 2.3-53 | class | 7.3-15 | cli | 1.1.0 |
| clipr | 0.5.0 | clisymbolen | 1.2.0 | cluster | 2.1.0 |
| Codetools | 0.2-16 | Colorspace | 1.4-1 | commonmark | 1,7 |
| Compiler | 3.6.1 | configuratie | 0,3 | Crayon | 1.3.4 |
| curl | 3.3 | data.table | 1.12.0 | gegevenssets | 3.6.1 |
| DBI | 1.0.0 | dbplyr | 1.3.0 | Desc | 1.2.0 |
| Devtools | 2.0.1 | Digest | 0.6.18 | doMC | 1.3.5 |
| dplyr | 0.8.0.1 | ellipsis | 0.1.0 | fansi | 0.4.0 |
| forcats | 0.4.0 | foreach | 1.4.4 | Buitenlandse | 0.8-72 |
| Forge | 0.2.0 | Fs | 1.2.7 | gbm | 2.1.5 |
| Generics | 0.0.2 | ggplot2 | 3.1.0 | Gh | 1.0.1 |
| git2r | 0.25.2 | glmnet | 2.0-16 | Lijm | 1.3.1 |
| Gower | 0.2.0 | afbeeldingen | 3.6.1 | grDevices | 3.6.1 |
| Raster | 3.6.1 | gridExtra | 2.3 | gsubfn | 0,7 |
| gtable | 0.3.0 | h2o | 3.22.1.1 | haven | 2.1.0 |
| Hms | 0.4.2 | htmltools | 0.3.6 | htmlwidgets | 1.3 |
| httr | 1.4.0 | hwriter | 1.3.2 | hwriterPlus | 1.0-3 |
| Ini | 0.3.1 | Ipred | 0.9-8 | Iterators | 1.0.10 |
| jsonlite | 1.6 | Kernsmooth | 2.23-15 | Labeling | 0,3 |
| Lattice | 0.20-38 | lava | 1.6.5 | lazyeval | 0.2.2 |
| Littler | 0.3.7 | lme4 | 1.1-21 | lubridate | 1.7.4 |
| magrittr | 1.5 | Mapproj | 1.2.6 | Kaarten | 3.3.0 |
| maptools | 0.9-5 | MASS | 7.3-51.4 | Matrix | 1.2-17 |
| MatrixModels | 0.4-1 | memoise | 1.1.0 | methoden | 3.6.1 |
| Mgcv | 1.8-29 | Mime | 0,6 | minqa | 1.2.4 |
| ModelMetrics | 1.2.2 | munsell | 0.5.0 | Mvtnorm | 1.0-10 |
| Nlme | 3.1-141 | nloptr | 1.2.1 | Nnet | 7.3-12 |
| numDeriv | 2016.8-1 | openssl | 1.3 | openxlsx | 4.1.0 |
| parallel | 3.6.1 | pbkrtest | 0.4-7 | Pijler | 1.3.1 |
| pkgbuild | 1.0.3 | Pkgconfig | 2.0.2 | pkgKitten | 0.1.4 |
| pkgload | 1.0.2 | plogr | 0.2.0 | plyr | 1.8.4 |
| Lof | 1.0.0 | prettyunits | 1.0.2 | Proc | 1.14.0 |
| processx | 3.3.0 | prodlim | 2018.04.18 | Voortgang | 1.2.0 |
| Proto | 1.0.0 | ps | 1.3.0 | Purrr | 0.3.2 |
| quantreg | 5.38 | R.methodsS3 | 1.7.1 | R.oo | 1.22.0 |
| R.utils | 2.8.0 | r2d3 | 0.2.3 | R6 | 2.4.0 |
| randomForest | 4.6-14 | rappdirs | 0.3.1 | rcmdcheck | 1.3.2 |
| Rcolorbrewer | 1.1-2 | Rcpp | 1.0.1 | RcppEigen | 0.3.3.5.0 |
| RcppRoll | 0.3.0 | RCurl | 1.95-4.12 | leesbewerking | 1.3.1 |
| readxl | 1.3.1 | recepten | 0.1.5 | Rematch | 1.0.1 |
| Afstandsbedieningen | 2.0.2 | hervorm2 | 1.4.3 | Rio | 0.5.16 |
| rlang | 0.3.3 | RODBC | 1.3-15 | roxygen2 | 6.1.1 |
| Rpart | 4.1-15 | rprojroot | 1.3-2 | Rserve | 1.8-6 |
| RSQLite | 2.1.1 | rstudioapi | 0.10 | Schalen | 1.0.0 |
| sessioninfo | 1.1.1 | Sp | 1.3-1 | sparklyr | 1.0.0 |
| SparkR | 2.4.5 | SparseM | 1.77 | Ruimtelijke | 7.3-11 |
| Splines | 3.6.1 | sqldf | 0.4-11 | SQUAREM | 2017.10-1 |
| statmod | 1.4.30 | Stats | 3.6.1 | stats4 | 3.6.1 |
| stringi | 1.4.3 | stringr | 1.4.0 | Overleving | 2.44-1.1 |
| sys | 3.1 | Tcltk | 3.6.1 | TeachingDemos | 2.10 |
| testthat | 2.0.1 | tibble | 2.1.1 | tidyr | 0.8.3 |
| tidyselect | 0.2.5 | Timedate | 3043.102 | tools | 3.6.1 |
| usethis | 1.4.0 | utf8 | 1.1.4 | utils | 3.6.1 |
| viridisLite | 0.3.0 | whisker | 0.3-2 | withr | 2.1.2 |
| xml2 | 1.2.0 | xopen | 1.0.0 | Yaml | 2.2.0 |
| Zip | 2.0.1 |
Geïnstalleerde Java- en Scala-bibliotheken (Scala 2.11-clusterversie)
| Groeps-id | Artefact-id | Versie |
|---|---|---|
| Antlr | Antlr | 2.7.7 |
| com.amazonaws | amazon-kinesis-client | 1.8.10 |
| com.amazonaws | aws-java-sdk-autoscaling | 1.11.595 |
| com.amazonaws | aws-java-sdk-cloudformation | 1.11.595 |
| com.amazonaws | aws-java-sdk-cloudfront | 1.11.595 |
| com.amazonaws | aws-java-sdk-cloudhsm | 1.11.595 |
| com.amazonaws | aws-java-sdk-cloudsearch | 1.11.595 |
| com.amazonaws | aws-java-sdk-cloudtrail | 1.11.595 |
| com.amazonaws | aws-java-sdk-cloudwatch | 1.11.595 |
| com.amazonaws | aws-java-sdk-cloudwatchmetrics | 1.11.595 |
| com.amazonaws | aws-java-sdk-codedeploy | 1.11.595 |
| com.amazonaws | aws-java-sdk-cognitoidentity | 1.11.595 |
| com.amazonaws | aws-java-sdk-cognitosync | 1.11.595 |
| com.amazonaws | aws-java-sdk-config | 1.11.595 |
| com.amazonaws | aws-java-sdk-core | 1.11.595 |
| com.amazonaws | aws-java-sdk-datapipeline | 1.11.595 |
| com.amazonaws | aws-java-sdk-directconnect | 1.11.595 |
| com.amazonaws | aws-java-sdk-directory | 1.11.595 |
| com.amazonaws | aws-java-sdk-dynamodb | 1.11.595 |
| com.amazonaws | aws-java-sdk-ec2 | 1.11.595 |
| com.amazonaws | aws-java-sdk-ecs | 1.11.595 |
| com.amazonaws | aws-java-sdk-efs | 1.11.595 |
| com.amazonaws | aws-java-sdk-elasticache | 1.11.595 |
| com.amazonaws | aws-java-sdk-elasticbeanstalk | 1.11.595 |
| com.amazonaws | aws-java-sdk-elasticloadbalancing | 1.11.595 |
| com.amazonaws | aws-java-sdk-elastictranscoder | 1.11.595 |
| com.amazonaws | aws-java-sdk-emr | 1.11.595 |
| com.amazonaws | aws-java-sdk-glacier | 1.11.595 |
| com.amazonaws | aws-java-sdk-glue | 1.11.595 |
| com.amazonaws | aws-java-sdk-iam | 1.11.595 |
| com.amazonaws | aws-java-sdk-importexport | 1.11.595 |
| com.amazonaws | aws-java-sdk-kinesis | 1.11.595 |
| com.amazonaws | aws-java-sdk-kms | 1.11.595 |
| com.amazonaws | aws-java-sdk-lambda | 1.11.595 |
| com.amazonaws | aws-java-sdk-logs | 1.11.595 |
| com.amazonaws | aws-java-sdk-machinelearning | 1.11.595 |
| com.amazonaws | aws-java-sdk-opsworks | 1.11.595 |
| com.amazonaws | aws-java-sdk-rds | 1.11.595 |
| com.amazonaws | aws-java-sdk-redshift | 1.11.595 |
| com.amazonaws | aws-java-sdk-route53 | 1.11.595 |
| com.amazonaws | aws-java-sdk-s3 | 1.11.595 |
| com.amazonaws | aws-java-sdk-ses | 1.11.595 |
| com.amazonaws | aws-java-sdk-simpledb | 1.11.595 |
| com.amazonaws | aws-java-sdk-simpleworkflow | 1.11.595 |
| com.amazonaws | aws-java-sdk-sns | 1.11.595 |
| com.amazonaws | aws-java-sdk-sqs | 1.11.595 |
| com.amazonaws | aws-java-sdk-ssm | 1.11.595 |
| com.amazonaws | aws-java-sdk-storagegateway | 1.11.595 |
| com.amazonaws | aws-java-sdk-sts | 1.11.595 |
| com.amazonaws | aws-java-sdk-support | 1.11.595 |
| com.amazonaws | aws-java-sdk-swf-libraries | 1.11.22 |
| com.amazonaws | aws-java-sdk-workspaces | 1.11.595 |
| com.amazonaws | jmespath-java | 1.11.595 |
| com.carrotsearch | hppc | 0.7.2 |
| com.chuusai | shapeless_2.11 | 2.3.2 |
| com.clearspring.analytics | Stream | 2.7.0 |
| com.databricks | Rserve | 1.8-3 |
| com.databricks | dbml-local_2.11 | 0.5.0-db8-spark2.4 |
| com.databricks | dbml-local_2.11-tests | 0.5.0-db8-spark2.4 |
| com.databricks | jets3t | 0.7.1-0 |
| com.databricks.scalapb | compilerplugin_2.11 | 0.4.15-9 |
| com.databricks.scalapb | scalapb-runtime_2.11 | 0.4.15-9 |
| com.esotericsoftware | kryo-gearceerd | 4.0.2 |
| com.esotericsoftware | minlog | 1.3.0 |
| com.fasterxml | Klasgenoot | 1.0.0 |
| com.fasterxml.jackson.core | jackson-annotaties | 2.6.7 |
| com.fasterxml.jackson.core | jackson-core | 2.6.7 |
| com.fasterxml.jackson.core | jackson-databind | 2.6.7.1 |
| com.fasterxml.jackson.dataformat | jackson-dataformat-cbor | 2.6.7 |
| com.fasterxml.jackson.datatype | jackson-datatype-joda | 2.6.7 |
| com.fasterxml.jackson.module | jackson-module-paranamer | 2.6.7 |
| com.fasterxml.jackson.module | jackson-module-scala_2.11 | 2.6.7.1 |
| com.github.fommil | jniloader | 1.1 |
| com.github.fommil.netlib | kern | 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 | 1.3.2-2 |
| com.github.rwl | jtransforms | 2.4.0 |
| com.google.code.findbugs | jsr305 | 2.0.1 |
| com.google.code.gson | gson | 2.2.4 |
| com.google.guava | Guava | 15.0 |
| com.google.protobuf | protobuf-java | 2.6.1 |
| com.googlecode.javaewah | JavaEWAH | 0.3.2 |
| com.h2database | h2 | 1.3.174 |
| com.jcraft | Jsch | 0.1.50 |
| com.jolbox | bonecp | 0.8.0.RELEASE |
| com.microsoft.azure | azure-data-lake-store-sdk | 2.2.8 |
| com.microsoft.azure | azure-storage | 7.0.0 |
| com.microsoft.sqlserver | mssql-jdbc | 6.2.2.jre8 |
| com.ning | compress-lzf | 1.0.3 |
| com.sun.mail | javax.mail | 1.5.2 |
| com.thoughtworks.paranamer | paranamer | 2.8 |
| com.trueaccord.lenses | lenses_2.11 | 0,3 |
| com.twitter | chill-java | 0.9.3 |
| com.twitter | chill_2.11 | 0.9.3 |
| com.twitter | parquet-hadoop-bundle | 1.6.0 |
| com.twitter | util-app_2.11 | 6.23.0 |
| com.twitter | util-core_2.11 | 6.23.0 |
| com.twitter | util-jvm_2.11 | 6.23.0 |
| com.typesafe | configuratie | 1.2.1 |
| com.typesafe.scala-logging | scala-logging-api_2.11 | 2.1.2 |
| com.typesafe.scala-logging | scala-logging-slf4j_2.11 | 2.1.2 |
| com.univocity | univocity-parsers | 2.7.3 |
| com.vlkan | flatbuffers | 1.2.0-3f79e055 |
| com.zaxxer | HikariCP | 3.1.0 |
| commons-beanutils | commons-beanutils | 1.9.3 |
| commons-cli | commons-cli | 1.2 |
| commons-codec | commons-codec | 1,10 |
| commons-collections | commons-collections | 3.2.2 |
| commons-configuratie | commons-configuratie | 1.6 |
| commons-dbcp | commons-dbcp | 1.4 |
| commons-digester | commons-digester | 1.8 |
| commons-httpclient | commons-httpclient | 3.1 |
| commons-io | commons-io | 2.4 |
| commons-lang | commons-lang | 2.6 |
| commons-logging | commons-logging | 1.1.3 |
| commons-net | commons-net | 3.1 |
| commons-pool | commons-pool | 1.5.4 |
| info.ganglia.gmetric4j | gmetric4j | 1.0.7 |
| io.airlift | aircompressor | 0.10 |
| io.dropwizard.metrics | metrische gegevenskern | 3.1.5 |
| io.dropwizard.metrics | metrics-ganglia | 3.1.5 |
| io.dropwizard.metrics | metrische gegevensgrafiet | 3.1.5 |
| io.dropwizard.metrics | metrische statuscontroles | 3.1.5 |
| io.dropwizard.metrics | metrics-jetty9 | 3.1.5 |
| io.dropwizard.metrics | metrics-json | 3.1.5 |
| io.dropwizard.metrics | metrics-jvm | 3.1.5 |
| io.dropwizard.metrics | metrics-log4j | 3.1.5 |
| io.dropwizard.metrics | metrics-servlets | 3.1.5 |
| io.netty | netty | 3.9.9.Final |
| io.netty | netty-all | 4.1.39.Final |
| javax.activation | activering | 1.1.1 |
| javax.annotatie | javax.annotation-api | 1.2 |
| javax.el | javax.el-api | 2.2.4 |
| javax.jdo | jdo-api | 3.0.1 |
| javax.servlet | javax.servlet-api | 3.1.0 |
| javax.servlet.jsp | jsp-api | 2.1 |
| javax.transaction | Jta | 1.1 |
| javax.validation | validatie-API | 1.1.0.Final |
| javax.ws.rs | javax.ws.rs-api | 2.0.1 |
| javax.xml.bind | jaxb-api | 2.2.2 |
| javax.xml.stream | stax-api | 1.0-2 |
| javolution | javolution | 5.5.1 |
| Jline | Jline | 2.14.6 |
| joda-time | joda-time | 2.9.3 |
| Junit | Junit | 4.12 |
| log4j | apache-log4j-extra's | 1.2.17 |
| log4j | log4j | 1.2.17 |
| net.hydromatic | eigenbase-properties | 1.1.5 |
| net.razorvine | pyrolite | 4.13 |
| 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 | 3.12.0 |
| net.snowflake | spark-snowflake_2.11 | 2.5.9-spark_2.4 |
| net.sourceforge.f2j | arpack_combined_all | 0,1 |
| org.acplt | oncrpc | 1.0.7 |
| org.antlr | ST4 | 4.0.4 |
| org.antlr | antlr-runtime | 3.4 |
| org.antlr | antlr4-runtime | 4.7 |
| 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 | pijlnotatie | 0.10.0 |
| org.apache.arrow | pijlgeheugen | 0.10.0 |
| org.apache.arrow | pijlvector | 0.10.0 |
| org.apache.avro | Avro | 1.8.2 |
| org.apache.avro | avro-ipc | 1.8.2 |
| org.apache.avro | avro-mapred-hadoop2 | 1.8.2 |
| org.apache.calcite | calcite-avatica | 1.2.0-incubating |
| org.apache.calcite | calcite-core | 1.2.0-incubating |
| org.apache.calcite | calcite-linq4j | 1.2.0-incubating |
| org.apache.commons | commons-compress | 1.8.1 |
| org.apache.commons | commons-crypto | 1.0.0 |
| org.apache.commons | commons-lang3 | 3.5 |
| org.apache.commons | commons-math3 | 3.4.1 |
| org.apache.curator | curator-client | 2.7.1 |
| org.apache.curator | curator-framework | 2.7.1 |
| org.apache.curator | curator-recepten | 2.7.1 |
| org.apache.derby | Derby | 10.12.1.1 |
| org.apache.directory.api | api-asn1-api | 1.0.0-M20 |
| org.apache.directory.api | api-util | 1.0.0-M20 |
| org.apache.directory.server | apacheds-i18n | 2.0.0-M15 |
| org.apache.directory.server | apacheds-kerberos-codec | 2.0.0-M15 |
| org.apache.hadoop | hadoop-aantekeningen | 2.7.3 |
| org.apache.hadoop | hadoop-auth | 2.7.3 |
| org.apache.hadoop | hadoop-client | 2.7.3 |
| org.apache.hadoop | hadoop-common | 2.7.3 |
| org.apache.hadoop | hadoop-hdfs | 2.7.3 |
| org.apache.hadoop | hadoop-mapreduce-client-app | 2.7.3 |
| org.apache.hadoop | hadoop-mapreduce-client-common | 2.7.3 |
| org.apache.hadoop | hadoop-mapreduce-client-core | 2.7.3 |
| org.apache.hadoop | hadoop-mapreduce-client-jobclient | 2.7.3 |
| org.apache.hadoop | hadoop-mapreduce-client-shuffle | 2.7.3 |
| org.apache.hadoop | hadoop-yarn-api | 2.7.3 |
| org.apache.hadoop | hadoop-yarn-client | 2.7.3 |
| org.apache.hadoop | hadoop-yarn-common | 2.7.3 |
| org.apache.hadoop | hadoop-yarn-server-common | 2.7.3 |
| org.apache.htrace | htrace-core | 3.1.0-incubating |
| org.apache.httpcomponents | httpclient | 4.5.6 |
| org.apache.httpcomponents | httpcore | 4.4.10 |
| org.apache.ivy | Ivy | 2.4.0 |
| org.apache.orc | orc-core-nohive | 1.5.5 |
| org.apache.orc | orc-mapreduce-nohive | 1.5.5 |
| org.apache.orc | orc-shims | 1.5.5 |
| org.apache.parquet | parquet-column | 1.10.1.2-databricks4 |
| org.apache.parquet | parquet-common | 1.10.1.2-databricks4 |
| org.apache.parquet | parquet-codering | 1.10.1.2-databricks4 |
| org.apache.parquet | parquet-indeling | 2.4.0 |
| org.apache.parquet | parquet-hadoop | 1.10.1.2-databricks4 |
| org.apache.parquet | parquet-jackson | 1.10.1.2-databricks4 |
| org.apache.thrift | libfb303 | 0.9.3 |
| org.apache.thrift | libthrift | 0.9.3 |
| org.apache.xbean | xbean-asm6-gearceerd | 4.8 |
| org.apache.zookeeper | zookeeper | 3.4.6 |
| org.codehaus.jackson | jackson-core-asl | 1.9.13 |
| org.codehaus.jackson | jackson-jaxrs | 1.9.13 |
| org.codehaus.jackson | jackson-mapper-asl | 1.9.13 |
| org.codehaus.jackson | jackson-xc | 1.9.13 |
| org.codehaus.janino | commons-compiler | 3.0.10 |
| org.codehaus.janino | Janino | 3.0.10 |
| org.datanucleus | datanucleus-api-jdo | 3.2.6 |
| org.datanucleus | datanucleus-core | 3.2.10 |
| org.datanucleus | datanucleus-rdbms | 3.2.9 |
| org.eclipse.jetty | jetty-client | 9.3.27.v20190418 |
| org.eclipse.jetty | jetty-vervolg | 9.3.27.v20190418 |
| org.eclipse.jetty | jetty-http | 9.3.27.v20190418 |
| org.eclipse.jetty | jetty-io | 9.3.27.v20190418 |
| org.eclipse.jetty | jetty-jndi | 9.3.27.v20190418 |
| org.eclipse.jetty | jetty-plus | 9.3.27.v20190418 |
| org.eclipse.jetty | jetty-proxy | 9.3.27.v20190418 |
| org.eclipse.jetty | jetty-security | 9.3.27.v20190418 |
| org.eclipse.jetty | jetty-server | 9.3.27.v20190418 |
| org.eclipse.jetty | jetty-servlet | 9.3.27.v20190418 |
| org.eclipse.jetty | jetty-servlets | 9.3.27.v20190418 |
| org.eclipse.jetty | jetty-util | 9.3.27.v20190418 |
| org.eclipse.jetty | jetty-webapp | 9.3.27.v20190418 |
| org.eclipse.jetty | jetty-xml | 9.3.27.v20190418 |
| org.fusesource.leveldbjni | leveldbjni-all | 1.8 |
| org.glassfish.hk2 | hk2-api | 2.4.0-b34 |
| org.glassfish.hk2 | hk2-locator | 2.4.0-b34 |
| org.glassfish.hk2 | hk2-utils | 2.4.0-b34 |
| org.glassfish.hk2 | osgi-resource-locator | 1.0.1 |
| org.glassfish.hk2.external | aopalliance opnieuw verpakt | 2.4.0-b34 |
| org.glassfish.hk2.external | javax.inject | 2.4.0-b34 |
| org.glassfish.jersey.bundles.repackaged | jersey-guava | 2.22.2 |
| org.glassfish.jersey.containers | jersey-container-servlet | 2.22.2 |
| org.glassfish.jersey.containers | jersey-container-servlet-core | 2.22.2 |
| org.glassfish.jersey.core | jersey-client | 2.22.2 |
| org.glassfish.jersey.core | jersey-common | 2.22.2 |
| org.glassfish.jersey.core | jersey-server | 2.22.2 |
| org.glassfish.jersey.media | jersey-media-jaxb | 2.22.2 |
| org.hamcrest | hamcrest-core | 1.3 |
| org.hamcrest | hamcrest-library | 1.3 |
| org.hibernate | sluimerstand-validator | 5.1.1.Final |
| org.iq80.snappy | Snappy | 0,2 |
| org.javassist | Javassist | 3.18.1-GA |
| org.jboss.logging | jboss-logging | 3.1.3.GA |
| org.jdbi | jdbi | 2.63.1 |
| org.joda | joda-convert | 1,7 |
| org.jodd | jodd-core | 3.5.2 |
| org.json4s | json4s-ast_2.11 | 3.5.3 |
| org.json4s | json4s-core_2.11 | 3.5.3 |
| org.json4s | json4s-jackson_2.11 | 3.5.3 |
| org.json4s | json4s-scalap_2.11 | 3.5.3 |
| org.lz4 | lz4-java | 1.4.0 |
| org.mariadb.jdbc | mariadb-java-client | 2.1.2 |
| org.mockito | mockito-core | 1.10.19 |
| org.objenesis | objenesis | 2.5.1 |
| org.postgresql | postgresql | 42.1.4 |
| org.roaringbitmap | RoaringBitmap | 0.7.45 |
| org.roaringbitmap | Shims | 0.7.45 |
| org.rocksdb | rocksdbjni | 6.2.2 |
| org.rosuda.REngine | REngine | 2.1.0 |
| org.scala-lang | scala-compiler_2.11 | 2.11.12 |
| org.scala-lang | scala-library_2.11 | 2.11.12 |
| org.scala-lang | scala-reflect_2.11 | 2.11.12 |
| org.scala-lang.modules | scala-parser-combinators_2.11 | 1.1.0 |
| org.scala-lang.modules | scala-xml_2.11 | 1.0.5 |
| org.scala-sbt | test-interface | 1.0 |
| org.scalacheck | scalacheck_2.11 | 1.12.5 |
| org.scalactic | scalactic_2.11 | 3.0.3 |
| org.scalanlp | breeze-macros_2.11 | 0.13.2 |
| org.scalanlp | breeze_2.11 | 0.13.2 |
| org.scalatest | scalatest_2.11 | 3.0.3 |
| org.slf4j | jcl-over-slf4j | 1.7.16 |
| org.slf4j | jul-to-slf4j | 1.7.16 |
| org.slf4j | slf4j-api | 1.7.16 |
| org.slf4j | slf4j-log4j12 | 1.7.16 |
| org.spark-project.hive | hive-beeline | 1.2.1.spark2 |
| org.spark-project.hive | hive-cli | 1.2.1.spark2 |
| org.spark-project.hive | hive-jdbc | 1.2.1.spark2 |
| org.spark-project.hive | hive-metastore | 1.2.1.spark2 |
| org.spark-project.spark | Ongebruikte | 1.0.0 |
| org.spire-math | spire-macros_2.11 | 0.13.0 |
| org.spire-math | spire_2.11 | 0.13.0 |
| org.springframework | spring-core | 4.1.4.RELEASE |
| org.springframework | spring-test | 4.1.4.RELEASE |
| org.tukaani | Xz | 1.5 |
| org.typelevel | machinist_2.11 | 0.6.1 |
| org.typelevel | macro-compat_2.11 | 1.1.1 |
| org.xerial | sqlite-jdbc | 3.8.11.2 |
| org.xerial.snappy | snappy-java | 1.1.7.3 |
| org.yaml | snakeyaml | 1.16 |
| Oro | Oro | 2.0.8 |
| software.amazon.ion | ion-java | 1.0.2 |
| Stax | stax-api | 1.0.1 |
| xmlenc | xmlenc | 0,52 |