Databricks Runtime 7.4

Databricks released this image in November 2020.

The following release notes provide information about Databricks Runtime 7.4, powered by Apache Spark 3.0.

New features

Delta Lake features and improvements

This release provides the following Delta Lake features and improvements:

New API allows Delta Lake to verify that data added to a table satisfies constraints

Delta Lake now supports CHECK constraints. When supplied, Delta Lake automatically verifies that data added to a table satisfies the specified expression. To add CHECK constraints, use the ALTER TABLE ADD CONSTRAINTS command. For details, see Constraints.

New API allows you to roll back a Delta table to an older version of the table

You can now roll back your Delta tables to older versions by using the RESTORE command:

RESTORE <table> TO VERSION AS OF n;
RESTORE <table> TO TIMESTAMP AS OF 'yyyy-MM-dd HH:mm:ss';
from delta.tables import DeltaTable
DeltaTable.forPath(spark, path).restoreToVersion(n)
DeltaTable.forPath(spark, path).restoreToTimestamp('yyyy-MM-dd')
import io.delta.tables.DeltaTable
DeltaTable.forPath(spark, path).restoreToVersion(n)
DeltaTable.forPath(spark, path).restoreToTimestamp("yyyy-MM-dd")

RESTORE creates a new commit that rolls back all changes made to your table since the version you want to restore. All existing data and metadata is restored, which includes the schema, constraints, streaming transaction IDs, COPY INTO metadata, and the table protocol version. For details, see Restore a Delta table.

New starting version allows returning only latest changes in a Delta Lake streaming source

To return only the latest changes, specify startingVersion as latest. For details, see Specify initial position.

Improved stability of OPTIMIZE

OPTIMIZE (without any partition predicates) can scale to running on tables with tens of millions of small files. Previously the Apache Spark driver could run out of memory and OPTIMIZE wouldn’t complete.OPTIMIZE now handles very large tables with tens of millions of files.

Auto Loader now supports delegating file notification resources setup to admins

A new Scala API allows admins to set up file notification resources for Auto Loader. Data engineers can now operate their Auto Loader streams with fewer permissions by delegating the initial resource setup to their admins. See Cloud resource management.

New USAGE privilege give admins greater control over data access privileges

To perform an action on an object in a database you must now be granted the USAGE privilege on that database in addition to the privileges required to perform the action. The USAGE privilege is granted for a database or a catalog. With the introduction of the USAGE privilege, a table owner can no longer unilaterally decide to share it with another user; the user must also have the USAGE privilege on the database containing the table.

In workspaces that have table access control enabled, the users group automatically has the USAGE privilege for the root CATALOG.

For details, see USAGE privilege.

DBFS FUSE now enabled for passthrough-enabled clusters

You can now read and write from DBFS using the FUSE mount at /dbfs/ when you are using a High Concurrency cluster enabled for credential passthrough. Regular mounts are supported. Mounts that require passthrough credentials are not supported.

Improvements

Spark SQL supports IFF and CHARINDEX as synonyms for IF and POSITION

In Databricks Runtime IF() is a synonym for CASE WHEN <cond> THEN <expr1> ELSE <expr2> END

Databricks Runtime now supports IFF() as a synonym for IF()

SELECT IFF(c1 = 1, 'Hello', 'World'), c1 FROM (VALUES (1), (2)) AS T(c1)
=> (Hello, 1)
(World, 2)

CHARINDEX is an alternate name for the POSITION function. CHARINDEX finds the position of the first occurrence of a string within another string with an optional start index.

VALUES(CHARINDEX('he', 'hello from hell', 2))
=> 12

Multiple outputs per cell enabled for Python notebooks by default

Databricks Runtime 7.1 introduced support for multiple outputs per cell in Python notebooks (and %python cells within non-Python notebooks), but you were required to enable the feature for your notebook. This feature is enabled by default in Databricks Runtime 7.4. See View multiple outputs per cell.

Autocomplete improvements for Python notebooks

Autocomplete for Python shows additional type information generated from static analysis of the code using the Jedi library. You can press the Tab key to see a list of options.

autocomplete-demo

Improved display of Spark ML vectors in Spark DataFrame preview

The display format now shows labels for vector type (sparse or dense), length, indices (for sparse vectors), and values.

Other fixes

  • Fixed a pickling issue with collections.namedtuple in notebooks.
  • Fixed a pickling issue with interactively defined classes and methods.
  • Fixed a bug that caused calls to mlflow.start_run() to fail on passthrough or clusters enabled for table access control.

Library upgrades

  • Upgraded Python libraries:
    • jedi upgraded from 0.14.1 to 0.17.2.
    • koalas upgraded from 1.2.0 to 1.3.0.
    • parso upgraded from 0.5.2 to 0.7.0.
  • Upgraded several installed R libraries. See Installed R Libraries.

Apache Spark

Databricks Runtime 7.4 includes Apache Spark 3.0.1. This release includes all Spark fixes and improvements included in Databricks Runtime 7.3 LTS, as well as the following additional bug fixes and improvements made to Spark:

  • [SPARK-33170] [SQL] Add SQL config to control fast-fail behavior in FileFormatWriter
  • [SPARK-33136] [SQL] Fix mistakenly swapped parameter in V2WriteCommand.outputResolved
  • [SPARK-33134] [SQL] Return partial results only for root JSON objects
  • [SPARK-33038] [SQL] Combine AQE initial and current plan s…
  • [SPARK-33118] [SQL] CREATE TEMPORARY TABLE fails with location
  • [SPARK-33101] [ML] Make LibSVM format propagate Hadoop config from DS options to underlying HDFS file system
  • [SPARK-33035] [SQL] Updates the obsoleted entries of attribute mapping in QueryPlan#transformUpWithNewOutput
  • [SPARK-33091] [SQL] Avoid using map instead of foreach to avoid potential side effect at callers of OrcUtils.readCatalystSchema
  • [SPARK-33073] [PYTHON] Improve error handling on Pandas to Arrow conversion failures
  • [SPARK-33043] [ML] Handle spark.driver.maxResultSize=0 in RowMatrix heuristic computation
  • [SPARK-29358] [SQL] Make unionByName optionally fill missing columns with nulls
  • [SPARK-32996] [WEB-UI] Handle empty ExecutorMetrics in ExecutorMetricsJsonSerializer
  • [SPARK-32585] [SQL] Support scala enumeration in ScalaReflection
  • [SPARK-33019] [CORE] Use spark.hadoop.mapreduce.fileoutputcommitter.algorithm.version=1 by default
  • [SPARK-33018] [SQL] Fix estimate statistics issue if child has 0 bytes
  • [SPARK-32901] [CORE] Do not allocate memory while spilling UnsafeExternalSorter
  • [SPARK-33015] [SQL] Use millisToDays() in the ComputeCurrentTime rule
  • [SPARK-33015] [SQL] Compute the current date only once
  • [SPARK-32999] [SQL] Use Utils.getSimpleName to avoid hitting Malformed class name in TreeNode
  • [SPARK-32659] [SQL] Broadcast Array instead of Set in InSubqueryExec
  • [SPARK-32718] [SQL] Remove unnecessary keywords for interval units
  • [SPARK-32886] [WEBUI] fix ‘undefined’ link in event timeline view
  • [SPARK-32898] [CORE] Fix wrong executorRunTime when task killed before real start
  • [SPARK-32635] [SQL] Add a new test case in catalyst module
  • [SPARK-32930] [CORE] Replace deprecated isFile/isDirectory methods
  • [SPARK-32906] [SQL] Struct field names should not change after normalizing floats
  • [SPARK-24994] [SQL] Add UnwrapCastInBinaryComparison optimizer to simplify integral literal
  • [SPARK-32635] [SQL] Fix foldable propagation
  • [SPARK-32738] [CORE] Should reduce the number of active threads if fatal error happens in Inbox.process
  • [SPARK-32900] [CORE] Allow UnsafeExternalSorter to spill when there are nulls
  • [SPARK-32897] [PYTHON] Don’t show a deprecation warning at SparkSession.builder.getOrCreate
  • [SPARK-32715] [CORE] Fix memory leak when failed to store pieces of broadcast
  • [SPARK-32715] [CORE] Fix memory leak when failed to store pieces of broadcast
  • [SPARK-32872] [CORE] Prevent BytesToBytesMap at MAX_CAPACITY from exceeding growth threshold
  • [SPARK-32876] [SQL] Change default fallback versions to 3.0.1 and 2.4.7 in HiveExternalCatalogVersionsSuite
  • [SPARK-32840] [SQL] Invalid interval value can happen to be just adhesive with the unit
  • [SPARK-32819] [SQL] ignoreNullability parameter should be effective recursively
  • [SPARK-32832] [SS] Use CaseInsensitiveMap for DataStreamReader/Writer options
  • [SPARK-32794] [SS] Fixed rare corner case error in micro-batch engine with some stateful queries + no-data-batches + V1 sources
  • [SPARK-32813] [SQL] Get default config of ParquetSource vectorized reader if no active SparkSession
  • [SPARK-32823] [WEB UI] Fix the master ui resources reporting
  • [SPARK-32824] [CORE] Improve the error message when the user forgets the .amount in a resource config
  • [SPARK-32614] [SQL] Don’t apply comment processing if ‘comment’ unset for CSV
  • [SPARK-32638] [SQL] Corrects references when adding aliases in WidenSetOperationTypes
  • [SPARK-32810] [SQL] CSV/JSON data sources should avoid globbing paths when inferring schema
  • [SPARK-32815] [ML] Fix LibSVM data source loading error on file paths with glob metacharacters
  • [SPARK-32753] [SQL] Only copy tags to node with no tags
  • [SPARK-32785] [SQL] Interval with dangling parts should not result null
  • [SPARK-32764] [SQL] -0.0 should be equal to 0.0
  • [SPARK-32810] [SQL] CSV/JSON data sources should avoid globbing paths when inferring schema
  • [SPARK-32779] [SQL] Avoid using synchronized API of SessionCatalog in withClient flow, this leads to DeadLock
  • [SPARK-32791] [SQL] Non-partitioned table metric should not have dynamic partition pruning time
  • [SPARK-32767] [SQL] Bucket join should work if spark.sql.shuffle.partitions larger than bucket number
  • [SPARK-32788] [SQL] non-partitioned table scan should not have partition filter
  • [SPARK-32776] [SS] Limit in streaming should not be optimized away by PropagateEmptyRelation
  • [SPARK-32624] [SQL] Fix regression in CodegenContext.addReferenceObj on nested Scala types
  • [SPARK-32659] [SQL] Improve test for pruning DPP on non-atomic type
  • [SPARK-31511] [SQL] Make BytesToBytesMap iterators thread-safe
  • [SPARK-32693] [SQL] Compare two dataframes with same schema except nullable property
  • [SPARK-28612] [SQL] Correct method doc of DataFrameWriterV2.replace()

System environment

  • Operating System: Ubuntu 18.04.5 LTS
  • Java: Zulu 8.48.0.53-CA-linux64 (build 1.8.0_265-b11)
  • Scala: 2.12.10
  • Python: 3.7.5
  • R: R version 3.6.3 (2020-02-29)
  • Delta Lake 0.7.0

Installed Python libraries

Library Version Library Version Library Version
asn1crypto 1.3.0 backcall 0.1.0 boto3 1.12.0
botocore 1.15.0 certifi 2020.6.20 cffi 1.14.0
chardet 3.0.4 cryptography 2.8 cycler 0.10.0
Cython 0.29.15 decorator 4.4.1 docutils 0.15.2
entrypoints 0.3 idna 2.8 ipykernel 5.1.4
ipython 7.12.0 ipython-genutils 0.2.0 jedi 0.17.2
jmespath 0.10.0 joblib 0.14.1 jupyter-client 5.3.4
jupyter-core 4.6.1 kiwisolver 1.1.0 koalas 1.3.0
matplotlib 3.1.3 numpy 1.18.1 pandas 1.0.1
parso 0.7.0 patsy 0.5.1 pexpect 4.8.0
pickleshare 0.7.5 pip 20.0.2 prompt-toolkit 3.0.3
psycopg2 2.8.4 ptyprocess 0.6.0 pyarrow 1.0.1
pycparser 2.19 Pygments 2.5.2 PyGObject 3.26.1
pyOpenSSL 19.1.0 pyparsing 2.4.6 PySocks 1.7.1
python-apt 1.6.5+ubuntu0.3 python-dateutil 2.8.1 pytz 2019.3
pyzmq 18.1.1 requests 2.22.0 s3transfer 0.3.3
scikit-learn 0.22.1 scipy 1.4.1 seaborn 0.10.0
setuptools 45.2.0 six 1.14.0 ssh-import-id 5.7
statsmodels 0.11.0 tornado 6.0.3 traitlets 4.3.3
unattended-upgrades 0.1 urllib3 1.25.8 virtualenv 16.7.10
wcwidth 0.1.8 wheel 0.34.2    

Installed R libraries

R libraries are installed from (Microsoft CRAN snapshot on XXXX-XX-XX).

Library Version Library Version Library Version
askpass 1.1 assertthat 0.2.1 backports 1.1.8
base 3.6.3 base64enc 0.1-3 BH 1.72.0-3
bit 1.1-15.2 bit64 0.9-7 blob 1.2.1
boot 1.3-25 brew 1.0-6 broom 0.7.0
callr 3.4.3 caret 6.0-86 cellranger 1.1.0
chron 2.3-55 class 7.3-17 cli 2.0.2
clipr 0.7.0 cluster 2.1.0 codetools 0.2-16
colorspace 1.4-1 commonmark 1.7 compiler 3.6.3
config 0.3 covr 3.5.0 crayon 1.3.4
crosstalk 1.1.0.1 curl 4.3 data.table 1.12.8
datasets 3.6.3 DBI 1.1.0 dbplyr 1.4.4
desc 1.2.0 devtools 2.3.0 digest 0.6.25
dplyr 0.8.5 DT 0.14 ellipsis 0.3.1
evaluate 0.14 fansi 0.4.1 farver 2.0.3
fastmap 1.0.1 forcats 0.5.0 foreach 1.5.0
foreign 0.8-76 forge 0.2.0 fs 1.4.2
generics 0.0.2 ggplot2 3.3.2 gh 1.1.0
git2r 0.27.1 glmnet 3.0-2 globals 0.12.5
glue 1.4.1 gower 0.2.2 graphics 3.6.3
grDevices 3.6.3 grid 3.6.3 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 1.5.1 httpuv 1.5.4 httr 1.4.1
hwriter 1.3.2 hwriterPlus 1.0-3 ini 0.3.1
ipred 0.9-9 isoband 0.2.2 iterators 1.0.12
jsonlite 1.7.0 KernSmooth 2.23-17 knitr 1.29
labeling 0.3 later 1.1.0.1 lattice 0.20-41
lava 1.6.7 lazyeval 0.2.2 lifecycle 0.2.0
lubridate 1.7.9 magrittr 1.5 markdown 1.1
MASS 7.3-53 Matrix 1.2-18 memoise 1.1.0
methods 3.6.3 mgcv 1.8-33 mime 0.9
ModelMetrics 1.2.2.2 modelr 0.1.8 munsell 0.5.0
nlme 3.1-149 nnet 7.3-14 numDeriv 2016.8-1.1
openssl 1.4.2 parallel 3.6.3 pillar 1.4.6
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 3.4.3
prodlim 2019.11.13 progress 1.2.2 promises 1.1.1
proto 1.0.0 ps 1.3.3 purrr 0.3.4
r2d3 0.2.3 R6 2.4.1 randomForest 4.6-14
rappdirs 0.3.1 rcmdcheck 1.3.3 RColorBrewer 1.1-2
Rcpp 1.0.5 readr 1.3.1 readxl 1.3.1
recipes 0.1.13 rematch 1.0.1 rematch2 2.1.2
remotes 2.1.1 reprex 0.3.0 reshape2 1.4.4
rex 1.2.0 rjson 0.2.20 rlang 0.4.7
rmarkdown 2.3 RODBC 1.3-16 roxygen2 7.1.1
rpart 4.1-15 rprojroot 1.3-2 Rserve 1.8-7
RSQLite 2.2.0 rstudioapi 0.11 rversions 2.0.2
rvest 0.3.5 scales 1.1.1 selectr 0.4-2
sessioninfo 1.1.1 shape 1.4.4 shiny 1.5.0
sourcetools 0.1.7 sparklyr 1.3.1 SparkR 3.0.0
spatial 7.3-11 splines 3.6.3 sqldf 0.4-11
SQUAREM 2020.3 stats 3.6.3 stats4 3.6.3
stringi 1.4.6 stringr 1.4.0 survival 3.2-7
sys 3.3 tcltk 3.6.3 TeachingDemos 2.10
testthat 2.3.2 tibble 3.0.3 tidyr 1.1.0
tidyselect 1.1.0 tidyverse 1.3.0 timeDate 3043.102
tinytex 0.24 tools 3.6.3 usethis 1.6.1
utf8 1.1.4 utils 3.6.3 uuid 0.1-4
vctrs 0.3.1 viridisLite 0.3.0 whisker 0.4
withr 2.2.0 xfun 0.15 xml2 1.3.2
xopen 1.0.0 xtable 1.8-4 yaml 2.2.1

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 1.4.4-3
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.azure azure-data-lake-store-sdk 2.2.8
com.microsoft.sqlserver mssql-jdbc 8.2.1.jre8
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 4.1.47.Final
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 4.7.1
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 0.15.1
org.apache.arrow arrow-memory 0.15.1
org.apache.arrow arrow-vector 0.15.1
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 1.8.1
org.apache.commons commons-crypto 1.0.0
org.apache.commons commons-lang3 3.9
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 2.7.1
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.orc orc-core 1.5.10
org.apache.orc orc-mapreduce 1.5.10
org.apache.orc orc-shims 1.5.10
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 9.4.18.v20190429
org.eclipse.jetty jetty-continuation 9.4.18.v20190429
org.eclipse.jetty jetty-http 9.4.18.v20190429
org.eclipse.jetty jetty-io 9.4.18.v20190429
org.eclipse.jetty jetty-jndi 9.4.18.v20190429
org.eclipse.jetty jetty-plus 9.4.18.v20190429
org.eclipse.jetty jetty-proxy 9.4.18.v20190429
org.eclipse.jetty jetty-security 9.4.18.v20190429
org.eclipse.jetty jetty-server 9.4.18.v20190429
org.eclipse.jetty jetty-servlet 9.4.18.v20190429
org.eclipse.jetty jetty-servlets 9.4.18.v20190429
org.eclipse.jetty jetty-util 9.4.18.v20190429
org.eclipse.jetty jetty-webapp 9.4.18.v20190429
org.eclipse.jetty jetty-xml 9.4.18.v20190429
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 3.6.6
org.json4s json4s-core_2.12 3.6.6
org.json4s json4s-jackson_2.12 3.6.6
org.json4s json4s-scalap_2.12 3.6.6
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 0.7.45
org.roaringbitmap shims 0.7.45
org.rocksdb rocksdbjni 6.2.2
org.rosuda.REngine REngine 2.1.0
org.scala-lang scala-compiler_2.12 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.xerial sqlite-jdbc 3.8.11.2
org.xerial.snappy snappy-java 1.1.7.5
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