Databricks Runtime 8.0 (unsupported)

  • Article

Databricks released this image in March 2021.

The following release notes provide information about Databricks Runtime 8.0, powered by Apache Spark 3.1.1.

New features

Databricks Runtime 8.0 includes Apache Spark 3.1.1. For details, see Apache Spark.

Improvements

Delta is now the default format when a format is not specified

Databricks Runtime 8.0 changes the default format to delta to make it simpler to create a Delta table. When you create a table using SQL commands, or {Dataset|DataFrame}.{read|readStream|write|writeTo|writeStream} APIs, and you do not specify a format, the default format is delta.

With Delta Lake, you get better performance over Parquet, better data reliability with rich schema validation, quality constraints, and transactional guarantees. With Delta Lake, you can simplify your data pipelines with unified structured streaming and batch processing on a single data source.

While Databricks recommends using Delta Lake to store your data, you may have legacy workflows that require migration to Delta Lake. For information about migrating existing workflows, see What is Delta Lake?.

New Structured Streaming default trigger interval reduces costs

If you do not set a trigger interval using Trigger.ProcessingTime in your streaming query, the interval is set to 500 ms. Previously, the default interval was 0 ms. This change should reduce the number of empty triggers and reduce costs for cloud storage such as listing.

Use the LDA transform function with credential passthrough (Public Preview)

You can now use the LDA transform function on a cluster configured to use credential passthrough for authentication.

Single user clusters configured with credential passthrough no longer require trusted filesystems (Public Preview)

You no longer need to configure local filesystems as trusted filesystems when using a standard or job cluster configured for credential passthrough with a single user. This change removes unnecessary filesystem restrictions when running jobs on a single user cluster.

Library upgrades

Apache Spark

Databricks Runtime 8.0 includes Apache Spark 3.1.1.

In this section:

Core and Spark SQL

Highlight

ANSI SQL Compatibility Enhancements

Performance enhancements

  • Host-local shuffle data reading without shuffle service (SPARK-32077)
  • Remove redundant sorts before repartition nodes (SPARK-32276)
  • Partially push down predicates (SPARK-32302, SPARK-32352)
  • Push down filters through expand (SPARK-33302)
  • Push more possible predicates through Join via CNF conversion (SPARK-31705)
  • Remove shuffle by preserving output partitioning of broadcast hash join (SPARK-31869)
  • Remove shuffle by improving reordering join keys (SPARK-32282)
  • Remove shuffle by normalizing output partitioning and sortorder (SPARK-33399)
  • Shuffled hash join improvement (SPARK-32461)
    • Preserve shuffled hash join build side partitioning (SPARK-32330)
    • Preserve hash join (BHJ and SHJ) stream side ordering (SPARK-32383)
    • Coalesce bucketed tables for sort merge join (SPARK-32286)
    • Add code-gen for shuffled hash join (SPARK-32421)
    • Support full outer join in shuffled hash join (SPARK-32399)
  • Support subexpression elimination in project with whole-stage-codegen (SPARK-33092)
  • Support subexpression elimination in conditional expressions (SPARK-33337)
  • Support subexpression elimination for interpreted expression evaluation (SPARK-33427)
  • Support subexpression elimination for interpreted predicate (SPARK-33540)
  • Other optimizer rules
    • Rule ExtractSingleColumnNullAwareAntiJoin (SPARK-32290)
    • Rule EliminateNullAwareAntiJoin (SPARK-32573)
    • Rule EliminateAggregateFilter (SPARK-32540)
    • Rule UnwrapCastInBinaryComparison (SPARK-32858)
    • Rule DisableUnnecessaryBucketedScan (SPARK-32859)
    • Rule CoalesceBucketsInJoin (SPARK-31350)
    • Prune unnecessary nested fields from generate without project (SPARK-29721)
    • Prune unnecessary nested fields from aggregate and expand (SPARK-27217)
    • Prune unnecessary nested fields from repartition-by-expression and join (SPARK-31736)
    • Prune unnecessary nested fields over cosmetic variations (SPARK-32163)
    • Prune unnecessary nested fields from window and sort (SPARK-32059)
    • Optimize size of CreateArray/CreateMap to be the size of its children (SPARK-33544)

Extensibility enhancements

  • Add SupportsPartitions APIs on DataSourceV2 (SPARK-31694)
  • Add SupportsMetadataColumns API on DataSourceV2 (SPARK-31255)
  • Make SQL cache serialization pluggable (SPARK-32274)
  • Introduce the purge option in TableCatalog.dropTable for v2 catalog (SPARK-33364)

Connector enhancements

Feature enhancements

Other notable changes

  • Provide Search Function in Spark docs site (SPARK-33166)
  • Upgrade Apache Arrow to 2.0.0 (SPARK-33213)
  • Enable Java 8 time API in thrift server (SPARK-31910)
  • Enable Java 8 time API in UDFs (SPARK-32154)
  • Overflow check for aggregate sum with decimals (SPARK-28067)
  • Fix commit collision in dynamic partition overwrite mode (SPARK-27194, SPARK-29302)
  • Removed references to slave, blacklist and whitelist (SPARK-32004, SPARK-32036, SPARK-32037)
  • Remove task result size check for shuffle map stage (SPARK-32470)
  • Generalize ExecutorSource to expose user-given file system schemes (SPARK-33476)
  • Add StorageLevel.DISK_ONLY_3 (SPARK-32517)
  • Expose executor memory metrics in the web UI for executors (SPARK-23432)
  • Expose executor memory metrics at the stage level, in the Stages tab (SPARK-26341)
  • Fix explicitly set of spark.ui.port in YARN cluster mode (SPARK-29465)
  • Add spark.submit.waitForCompletion configuration to control spark-submit exit in Standalone cluster mode (SPARK-31486)
  • Set up yarn.Client to print direct links to driver stdout/stderr (SPARK-33185)
  • Fix memory leak when fail to store pieces of broadcast (SPARK-32715)
  • Make BlockManagerMaster driver heartbeat timeout configurable (SPARK-34278)
  • Unify and complete cache behaviors (SPARK-33507)

Changes of behavior

See the migration guides for each component: Spark Core and Spark SQL.

PySpark

Project Zen

Other notable changes

  • Deduplicate deterministic PythonUDF calls (SPARK-33303)
  • Support higher order functions in PySpark functions(SPARK-30681)
  • Support data source v2x write APIs (SPARK-29157)
  • Support percentile_approx in PySpark functions(SPARK-30569)
  • Support inputFiles in PySpark DataFrame (SPARK-31763)
  • Support withField in PySpark Column (SPARK-32835)
  • Support dropFields in PySpark Column (SPARK-32511)
  • Support nth_value in PySpark functions (SPARK-33020)
  • Support acosh, asinh and atanh (SPARK-33563)
  • Support getCheckpointDir method in PySpark SparkContext (SPARK-33017)
  • Support to fill nulls for missing columns in unionByName (SPARK-32798)
  • Update cloudpickle to v1.5.0 (SPARK-32094)
  • Add MapType support for PySpark with Arrow (SPARK-24554)
  • DataStreamReader.table and DataStreamWriter.toTable (SPARK-33836)

Changes of behavior

See the migration guides for[PySpark]https://spark.apache.org/docs/3.1.1/pyspark-migration-guide.html).

Structured Streaming

Performance enhancements

  • Cache fetched list of files beyond maxFilesPerTrigger as unread file (SPARK-30866)
  • Streamline the logic on file stream source and sink metadata log (SPARK-30462)
  • Avoid reading compact metadata log twice if the query restarts from compact batch (SPARK-30900)

Feature enhancements

  • Add DataStreamReader.table API (SPARK-32885)
  • Add DataStreamWriter.toTable API (SPARK-32896)
  • Left semi stream-stream join (SPARK-32862)
  • Full outer stream-stream join (SPARK-32863)
  • Provide a new option to have retention on output files (SPARK-27188)
  • Add Spark Structured Streaming History Server Support (SPARK-31953)
  • Introduce State schema validation among query restart (SPARK-27237)

Other notable changes

  • Introduce schema validation for streaming state store (SPARK-31894)
  • Support to use a different compression codec in state store (SPARK-33263)
  • Kafka connector infinite wait because metadata never updated (SPARK-28367)
  • Upgrade Kafka to 2.6.0 (SPARK-32568)
  • Pagination support for Structured Streaming UI pages (SPARK-31642, SPARK-30119)
  • State information in Structured Streaming UI (SPARK-33223)
  • Watermark gap information in Structured Streaming UI (SPARK-33224)
  • Expose state custom metrics information on SS UI (SPARK-33287)
  • Add a new metric regarding number of rows later than watermark (SPARK-24634)

Changes of behavior

See the migration guides for Structured Streaming.

MLlib

Highlights

  • LinearSVC blockify input vectors (SPARK-30642)
  • LogisticRegression blockify input vectors (SPARK-30659)
  • LinearRegression blockify input vectors (SPARK-30660)
  • AFT blockify input vectors (SPARK-31656)
  • Add support for association rules in ML (SPARK-19939)
  • Add training summary for LinearSVCModel (SPARK-20249)
  • Add summary to RandomForestClassificationModel (SPARK-23631)
  • Add training summary to FMClassificationModel (SPARK-32140)
  • Add summary to MultilayerPerceptronClassificationModel (SPARK-32449)
  • Add FMClassifier to SparkR (SPARK-30820)
  • Add SparkR LinearRegression wrapper (SPARK-30818)
  • Add FMRegressor wrapper to SparkR (SPARK-30819)
  • Add SparkR wrapper for vector_to_array (SPARK-33040)
  • adaptively blockify instances - LinearSVC (SPARK-32907)
  • make CrossValidator/TrainValidateSplit/OneVsRest Reader/Writer support Python backend estimator/evaluator (SPARK-33520)
  • Improve performance of ML ALS recommendForAll by GEMV (SPARK-33518)
  • Add UnivariateFeatureSelector (SPARK-34080)

Other Notable Changes

  • GMM compute summary and update distributions in one job (SPARK-31032)
  • Remove ChiSqSelector dependency on mllib.ChiSqSelectorModel (SPARK-31077)
  • Flatten the result dataframe of tests in testChiSquare (SPARK-31301)
  • MinHash keyDistance optimization (SPARK-31436)
  • KMeans optimization based on triangle-inequality (SPARK-31007)
  • Add weight support in ClusteringEvaluator (SPARK-31734)
  • Add getMetrics in Evaluators (SPARK-31768)
  • Add instance weight support in LinearRegressionSummary (SPARK-31944)
  • Add user-specified fold column to CrossValidator (SPARK-31777)
  • ML params default value parity in feature and tuning (SPARK-32310)
  • Fix double caching in KMeans/BiKMeans (SPARK-32676)
  • aft transform optimization (SPARK-33111)
  • FeatureHasher transform optimization (SPARK-32974)
  • Add array_to_vector function for dataframe column (SPARK-33556)
  • ML params default value parity in classification, regression, clustering and fpm (SPARK-32310)
  • Summary.totalIterations greater than maxIters (SPARK-31925)
  • tree models prediction optimization (SPARK-32298)

Changes of behavior

See the migration guides for MLlib.

SparkR

  • Add SparkR interface for higher order functions (SPARK-30682)
  • Support to fill nulls for missing columns in unionByName (SPARK-32798)
  • Support withColumn in SparkR functions (SPARK-32946)
  • Support timestamp_seconds in SparkR functions (SPARK-32949)
  • Support nth_value in SparkR functions (SPARK-33030)
  • Minimum Arrow version bumped up to 1.0.0 (SPARK-32452)
  • Support array_to_vector in SparkR functions (SPARK-33622)
  • Support acosh, asinh and atanh (SPARK-33563)
  • Support from_avro and to_avro (SPARK-33304)

Changes of behavior

See the migration guides for SparkR (R on Spark).

GraphX

Programming guide: GraphX Programming Guide.

Maintenance updates

See Databricks Runtime 8.0 maintenance updates.

System environment

  • Operating System: Ubuntu 18.04.5 LTS
  • Java: Zulu 8.50.0.51-CA-linux64 (build 1.8.0_275-b01)
  • Scala: 2.12.10
  • Python: 3.8.8 (updated from 3.8.6 in May 26, 2021 maintenance update)
  • R: R version 4.0.3 (2020-10-10)
  • Delta Lake 0.8.0

Installed Python libraries

Library Version Library Version Library Version
appdirs 1.4.4 asn1crypto 1.4.0 backcall 0.2.0
boto3 1.16.7 botocore 1.19.7 brotlipy 0.7.0
certifi 2020.12.5 cffi 1.14.3 chardet 3.0.4
cryptography 3.1.1 cycler 0.10.0 Cython 0.29.21
decorator 4.4.2 distlib 0.3.1 docutils 0.15.2
entrypoints 0.3 filelock 3.0.12 idna 2.10
ipykernel 5.3.4 ipython 7.19.0 ipython-genutils 0.2.0
jedi 0.17.2 jmespath 0.10.0 joblib 0.17.0
jupyter-client 6.1.7 jupyter-core 4.6.3 kiwisolver 1.3.0
koalas 1.5.0 matplotlib 3.2.2 numpy 1.19.2
pandas 1.1.3 parso 0.7.0 patsy 0.5.1
pexpect 4.8.0 pickleshare 0.7.5 pip 20.2.4
prompt-toolkit 3.0.8 psycopg2 2.8.5 ptyprocess 0.6.0
pyarrow 1.0.1 pycparser 2.20 Pygments 2.7.2
pyOpenSSL 19.1.0 pyparsing 2.4.7 PySocks 1.7.1
python-dateutil 2.8.1 pytz 2020.1 pyzmq 19.0.2
requests 2.24.0 s3transfer 0.3.3 scikit-learn 0.23.2
scipy 1.5.2 seaborn 0.10.0 setuptools 50.3.1
six 1.15.0 statsmodels 0.12.0 threadpoolctl 2.1.0
tornado 6.0.4 traitlets 5.0.5 urllib3 1.25.11
virtualenv 20.2.1 wcwidth 0.2.5 wheel 0.35.1

Installed R libraries

R libraries are installed from the Microsoft CRAN snapshot on 2020-11-02.

Library Version Library Version Library Version
askpass 1.1 assertthat 0.2.1 backports 1.2.1
base 4.0.3 base64enc 0.1-3 BH 1.72.0-3
bit 4.0.4 bit64 4.0.5 blob 1.2.1
boot 1.3-25 brew 1.0-6 brio 1.1.0
broom 0.7.2 callr 3.5.1 caret 6.0-86
cellranger 1.1.0 chron 2.3-56 class 7.3-17
cli 2.2.0 clipr 0.7.1 cluster 2.1.0
codetools 0.2-18 colorspace 2.0-0 commonmark 1.7
compiler 4.0.3 config 0.3 covr 3.5.1
cpp11 0.2.4 crayon 1.3.4 credentials 1.3.0
crosstalk 1.1.0.1 curl 4.3 data.table 1.13.4
datasets 4.0.3 DBI 1.1.0 dbplyr 2.0.0
desc 1.2.0 devtools 2.3.2 diffobj 0.3.2
digest 0.6.27 dplyr 1.0.2 DT 0.16
ellipsis 0.3.1 evaluate 0.14 fansi 0.4.1
farver 2.0.3 fastmap 1.0.1 forcats 0.5.0
foreach 1.5.1 foreign 0.8-79 forge 0.2.0
fs 1.5.0 future 1.21.0 generics 0.1.0
gert 1.0.2 ggplot2 3.3.2 gh 1.2.0
gitcreds 0.1.1 glmnet 4.0-2 globals 0.14.0
glue 1.4.2 gower 0.2.2 graphics 4.0.3
grDevices 4.0.3 grid 4.0.3 gridExtra 2.3
gsubfn 0.7 gtable 0.3.0 haven 2.3.1
highr 0.8 hms 0.5.3 htmltools 0.5.0
htmlwidgets 1.5.3 httpuv 1.5.4 httr 1.4.2
hwriter 1.3.2 hwriterPlus 1.0-3 ini 0.3.1
ipred 0.9-9 isoband 0.2.3 iterators 1.0.13
jsonlite 1.7.2 KernSmooth 2.23-18 knitr 1.30
labeling 0.4.2 later 1.1.0.1 lattice 0.20-41
lava 1.6.8.1 lazyeval 0.2.2 lifecycle 0.2.0
listenv 0.8.0 lubridate 1.7.9.2 magrittr 2.0.1
markdown 1.1 MASS 7.3-53 Matrix 1.2-18
memoise 1.1.0 methods 4.0.3 mgcv 1.8-33
mime 0.9 ModelMetrics 1.2.2.2 modelr 0.1.8
munsell 0.5.0 nlme 3.1-151 nnet 7.3-14
numDeriv 2016.8-1.1 openssl 1.4.3 parallel 4.0.3
parallelly 1.22.0 pillar 1.4.7 pkgbuild 1.1.0
pkgconfig 2.0.3 pkgload 1.1.0 plogr 0.2.0
plyr 1.8.6 praise 1.0.0 prettyunits 1.1.1
pROC 1.16.2 processx 3.4.5 prodlim 2019.11.13
progress 1.2.2 promises 1.1.1 proto 1.0.0
ps 1.5.0 purrr 0.3.4 r2d3 0.2.3
R6 2.5.0 randomForest 4.6-14 rappdirs 0.3.1
rcmdcheck 1.3.3 RColorBrewer 1.1-2 Rcpp 1.0.5
readr 1.4.0 readxl 1.3.1 recipes 0.1.15
rematch 1.0.1 rematch2 2.1.2 remotes 2.2.0
reprex 0.3.0 reshape2 1.4.4 rex 1.2.0
rlang 0.4.9 rmarkdown 2.6 RODBC 1.3-17
roxygen2 7.1.1 rpart 4.1-15 rprojroot 2.0.2
Rserve 1.8-7 RSQLite 2.2.1 rstudioapi 0.13
rversions 2.0.2 rvest 0.3.6 scales 1.1.1
selectr 0.4-2 sessioninfo 1.1.1 shape 1.4.5
shiny 1.5.0 sourcetools 0.1.7 sparklyr 1.5.2
SparkR 3.1.0 spatial 7.3-11 splines 4.0.3
sqldf 0.4-11 SQUAREM 2020.5 stats 4.0.3
stats4 4.0.3 stringi 1.5.3 stringr 1.4.0
survival 3.2-7 sys 3.4 tcltk 4.0.3
TeachingDemos 2.10 testthat 3.0.0 tibble 3.0.4
tidyr 1.1.2 tidyselect 1.1.0 tidyverse 1.3.0
timeDate 3043.102 tinytex 0.28 tools 4.0.3
usethis 2.0.0 utf8 1.1.4 utils 4.0.3
uuid 0.1-4 vctrs 0.3.5 viridisLite 0.3.0
waldo 0.2.3 whisker 0.4 withr 2.3.0
xfun 0.19 xml2 1.3.2 xopen 1.0.0
xtable 1.8-4 yaml 2.2.1 zip 2.1.1

Installed Java and Scala libraries (Scala 2.12 cluster version)

Group ID Artifact ID Version
antlr antlr 2.7.7
com.amazonaws amazon-kinesis-client 1.12.0
com.amazonaws aws-java-sdk-autoscaling 1.11.655
com.amazonaws aws-java-sdk-cloudformation 1.11.655
com.amazonaws aws-java-sdk-cloudfront 1.11.655
com.amazonaws aws-java-sdk-cloudhsm 1.11.655
com.amazonaws aws-java-sdk-cloudsearch 1.11.655
com.amazonaws aws-java-sdk-cloudtrail 1.11.655
com.amazonaws aws-java-sdk-cloudwatch 1.11.655
com.amazonaws aws-java-sdk-cloudwatchmetrics 1.11.655
com.amazonaws aws-java-sdk-codedeploy 1.11.655
com.amazonaws aws-java-sdk-cognitoidentity 1.11.655
com.amazonaws aws-java-sdk-cognitosync 1.11.655
com.amazonaws aws-java-sdk-config 1.11.655
com.amazonaws aws-java-sdk-core 1.11.655
com.amazonaws aws-java-sdk-datapipeline 1.11.655
com.amazonaws aws-java-sdk-directconnect 1.11.655
com.amazonaws aws-java-sdk-directory 1.11.655
com.amazonaws aws-java-sdk-dynamodb 1.11.655
com.amazonaws aws-java-sdk-ec2 1.11.655
com.amazonaws aws-java-sdk-ecs 1.11.655
com.amazonaws aws-java-sdk-efs 1.11.655
com.amazonaws aws-java-sdk-elasticache 1.11.655
com.amazonaws aws-java-sdk-elasticbeanstalk 1.11.655
com.amazonaws aws-java-sdk-elasticloadbalancing 1.11.655
com.amazonaws aws-java-sdk-elastictranscoder 1.11.655
com.amazonaws aws-java-sdk-emr 1.11.655
com.amazonaws aws-java-sdk-glacier 1.11.655
com.amazonaws aws-java-sdk-iam 1.11.655
com.amazonaws aws-java-sdk-importexport 1.11.655
com.amazonaws aws-java-sdk-kinesis 1.11.655
com.amazonaws aws-java-sdk-kms 1.11.655
com.amazonaws aws-java-sdk-lambda 1.11.655
com.amazonaws aws-java-sdk-logs 1.11.655
com.amazonaws aws-java-sdk-machinelearning 1.11.655
com.amazonaws aws-java-sdk-opsworks 1.11.655
com.amazonaws aws-java-sdk-rds 1.11.655
com.amazonaws aws-java-sdk-redshift 1.11.655
com.amazonaws aws-java-sdk-route53 1.11.655
com.amazonaws aws-java-sdk-s3 1.11.655
com.amazonaws aws-java-sdk-ses 1.11.655
com.amazonaws aws-java-sdk-simpledb 1.11.655
com.amazonaws aws-java-sdk-simpleworkflow 1.11.655
com.amazonaws aws-java-sdk-sns 1.11.655
com.amazonaws aws-java-sdk-sqs 1.11.655
com.amazonaws aws-java-sdk-ssm 1.11.655
com.amazonaws aws-java-sdk-storagegateway 1.11.655
com.amazonaws aws-java-sdk-sts 1.11.655
com.amazonaws aws-java-sdk-support 1.11.655
com.amazonaws aws-java-sdk-swf-libraries 1.11.22
com.amazonaws aws-java-sdk-workspaces 1.11.655
com.amazonaws jmespath-java 1.11.655
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 2.10.0
com.fasterxml.jackson.core jackson-core 2.10.0
com.fasterxml.jackson.core jackson-databind 2.10.0
com.fasterxml.jackson.dataformat jackson-dataformat-cbor 2.10.0
com.fasterxml.jackson.datatype jackson-datatype-joda 2.10.0
com.fasterxml.jackson.module jackson-module-paranamer 2.10.0
com.fasterxml.jackson.module jackson-module-scala_2.12 2.10.0
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.joshelser dropwizard-metrics-hadoop-metrics2-reporter 0.1.2
com.github.luben zstd-jni 1.4.8-1
com.github.wendykierp JTransforms 3.1
com.google.code.findbugs jsr305 3.0.0
com.google.code.gson gson 2.2.4
com.google.flatbuffers flatbuffers-java 1.9.0
com.google.guava guava 15.0
com.google.protobuf protobuf-java 2.6.1
com.h2database h2 1.4.195
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.sqlserver mssql-jdbc 8.2.1.jre8
com.microsoft.azure azure-data-lake-store-sdk 2.3.9
com.ning compress-lzf 1.0.3
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 0.9.5
com.twitter chill_2.12 0.9.5
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.univocity univocity-parsers 2.9.0
com.zaxxer HikariCP 3.1.0
commons-beanutils commons-beanutils 1.9.4
commons-cli commons-cli 1.2
commons-codec commons-codec 1.10
commons-collections commons-collections 3.2.2
commons-configuration commons-configuration 1.6
commons-dbcp commons-dbcp 1.4
commons-digester commons-digester 1.8
commons-fileupload commons-fileupload 1.3.3
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 1.0.10
io.airlift aircompressor 0.10
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 4.1.51.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.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.servlet javax.servlet-api 3.1.0
javax.servlet.jsp jsp-api 2.1
javax.transaction jta 1.1
javax.transaction transaction-api 1.1
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 2.10.5
log4j apache-log4j-extras 1.2.17
log4j log4j 1.2.17
net.razorvine pyrolite 4.30
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 3.12.8
net.snowflake spark-snowflake_2.12 2.8.1-spark_3.0
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 4.8-1
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 2.0.0
org.apache.arrow arrow-memory-core 2.0.0
org.apache.arrow arrow-memory-netty 2.0.0
org.apache.arrow arrow-vector 2.0.0
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.commons commons-compress 1.20
org.apache.commons commons-crypto 1.1.0
org.apache.commons commons-lang3 3.10
org.apache.commons commons-math3 3.4.1
org.apache.commons commons-text 1.6
org.apache.curator curator-client 2.7.1
org.apache.curator curator-framework 2.7.1
org.apache.curator curator-recipes 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-annotations 2.7.4
org.apache.hadoop hadoop-auth 2.7.4
org.apache.hadoop hadoop-client 2.7.4
org.apache.hadoop hadoop-common 2.7.4
org.apache.hadoop hadoop-hdfs 2.7.4
org.apache.hadoop hadoop-mapreduce-client-app 2.7.4
org.apache.hadoop hadoop-mapreduce-client-common 2.7.4
org.apache.hadoop hadoop-mapreduce-client-core 2.7.4
org.apache.hadoop hadoop-mapreduce-client-jobclient 2.7.4
org.apache.hadoop hadoop-mapreduce-client-shuffle 2.7.4
org.apache.hadoop hadoop-yarn-api 2.7.4
org.apache.hadoop hadoop-yarn-client 2.7.4
org.apache.hadoop hadoop-yarn-common 2.7.4
org.apache.hadoop hadoop-yarn-server-common 2.7.4
org.apache.hive hive-beeline 2.3.7
org.apache.hive hive-cli 2.3.7
org.apache.hive hive-common 2.3.7
org.apache.hive hive-exec-core 2.3.7
org.apache.hive hive-jdbc 2.3.7
org.apache.hive hive-llap-client 2.3.7
org.apache.hive hive-llap-common 2.3.7
org.apache.hive hive-metastore 2.3.7
org.apache.hive hive-serde 2.3.7
org.apache.hive hive-shims 2.3.7
org.apache.hive hive-storage-api 2.7.2
org.apache.hive hive-vector-code-gen 2.3.7
org.apache.hive.shims hive-shims-0.23 2.3.7
org.apache.hive.shims hive-shims-common 2.3.7
org.apache.hive.shims hive-shims-scheduler 2.3.7
org.apache.htrace htrace-core 3.1.0-incubating
org.apache.httpcomponents httpclient 4.5.6
org.apache.httpcomponents httpcore 4.4.12
org.apache.ivy ivy 2.4.0
org.apache.mesos mesos-shaded-protobuf 1.4.0
org.apache.orc orc-core 1.5.12
org.apache.orc orc-mapreduce 1.5.12
org.apache.orc orc-shims 1.5.12
org.apache.parquet parquet-column 1.10.1-databricks6
org.apache.parquet parquet-common 1.10.1-databricks6
org.apache.parquet parquet-encoding 1.10.1-databricks6
org.apache.parquet parquet-format 2.4.0
org.apache.parquet parquet-hadoop 1.10.1-databricks6
org.apache.parquet parquet-jackson 1.10.1-databricks6
org.apache.thrift libfb303 0.9.3
org.apache.thrift libthrift 0.12.0
org.apache.velocity velocity 1.5
org.apache.xbean xbean-asm7-shaded 4.15
org.apache.yetus audience-annotations 0.5.0
org.apache.zookeeper zookeeper 3.4.14
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 3.0.16
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 9.4.34.v20201102
org.eclipse.jetty jetty-continuation 9.4.34.v20201102
org.eclipse.jetty jetty-http 9.4.34.v20201102
org.eclipse.jetty jetty-io 9.4.34.v20201102
org.eclipse.jetty jetty-jndi 9.4.34.v20201102
org.eclipse.jetty jetty-plus 9.4.34.v20201102
org.eclipse.jetty jetty-proxy 9.4.34.v20201102
org.eclipse.jetty jetty-security 9.4.34.v20201102
org.eclipse.jetty jetty-server 9.4.34.v20201102
org.eclipse.jetty jetty-servlet 9.4.34.v20201102
org.eclipse.jetty jetty-servlets 9.4.34.v20201102
org.eclipse.jetty jetty-util 9.4.34.v20201102
org.eclipse.jetty jetty-webapp 9.4.34.v20201102
org.eclipse.jetty jetty-xml 9.4.34.v20201102
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 2.30
org.glassfish.jersey.containers jersey-container-servlet-core 2.30
org.glassfish.jersey.core jersey-client 2.30
org.glassfish.jersey.core jersey-common 2.30
org.glassfish.jersey.core jersey-server 2.30
org.glassfish.jersey.inject jersey-hk2 2.30
org.glassfish.jersey.media jersey-media-jaxb 2.30
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.joda joda-convert 1.7
org.jodd jodd-core 3.5.2
org.json4s json4s-ast_2.12 3.7.0-M5
org.json4s json4s-core_2.12 3.7.0-M5
org.json4s json4s-jackson_2.12 3.7.0-M5
org.json4s json4s-scalap_2.12 3.7.0-M5
org.lz4 lz4-java 1.7.1
org.mariadb.jdbc mariadb-java-client 2.1.2
org.objenesis objenesis 2.5.1
org.postgresql postgresql 42.1.4
org.roaringbitmap RoaringBitmap 0.9.0
org.roaringbitmap shims 0.9.0
org.rocksdb rocksdbjni 6.2.2
org.rosuda.REngine REngine 2.1.0
org.scala-lang scala-compiler_2.12 2.12.10
org.scala-lang scala-library_2.12 2.12.10
org.scala-lang scala-reflect_2.12 2.12.10
org.scala-lang.modules scala-collection-compat_2.12 2.1.1
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 1.0
org.scalanlp breeze_2.12 1.0
org.scalatest scalatest_2.12 3.0.8
org.slf4j jcl-over-slf4j 1.7.30
org.slf4j jul-to-slf4j 1.7.30
org.slf4j slf4j-api 1.7.30
org.slf4j slf4j-log4j12 1.7.30
org.spark-project.spark unused 1.0.0
org.springframework spring-core 4.1.4.RELEASE
org.springframework spring-test 4.1.4.RELEASE
org.threeten threeten-extra 1.5.0
org.tukaani xz 1.5
org.typelevel algebra_2.12 2.0.0-M2
org.typelevel cats-kernel_2.12 2.0.0-M4
org.typelevel machinist_2.12 0.6.8
org.typelevel macro-compat_2.12 1.1.1
org.typelevel spire-macros_2.12 0.17.0-M1
org.typelevel spire-platform_2.12 0.17.0-M1
org.typelevel spire-util_2.12 0.17.0-M1
org.typelevel spire_2.12 0.17.0-M1
org.wildfly.openssl wildfly-openssl 1.0.7.Final
org.xerial sqlite-jdbc 3.8.11.2
org.xerial.snappy snappy-java 1.1.8.2
org.yaml snakeyaml 1.24
oro oro 2.0.8
pl.edu.icm JLargeArrays 1.5
software.amazon.ion ion-java 1.0.2
stax stax-api 1.0.1
xmlenc xmlenc 0.52