Databricks Runtime 5.5 LTS (EoS)

Note

Support for this Databricks Runtime version has ended. For the end-of-support date, see End-of-support history. For all supported Databricks Runtime versions, see Databricks Runtime release notes versions and compatibility.

Databricks released this version in July 2019. It was declared Long Term Support (LTS) in August 2019. Support ended on July 27, 2021. Databricks Runtime 5.5 Extended Support (EoS) was released on July 8, 2021 and extends 5.5 support through December 2021. It uses Ubuntu 18.04.5 LTS instead of the deprecated Ubuntu 16.04.6 LTS distribution used in the original Databricks Runtime 5.5 LTS. Ubuntu 16.04.6 LTS support ceased on April 1, 2021.

The following release notes provide information about Databricks Runtime 5.5, powered by Apache Spark.

New features

Delta Lake on Databricks Auto Optimize

Today, when you write data into cloud storage, you need to compact files for optimal I/O performance. You have to worry about the right file size, how often to compact the files, how big a cluster to use, and so on. To address this class of problems, we are excited to announce the general availability of Auto Optimize with Delta Lake on Databricks. During every write to Delta tables, we automatically figure out the right file sizes and compact files so that you don’t have to worry about optimizing the storage layout. During writes, if the auto-optimize option is true, Databricks automatically determines if an optimize is required and optimizes the small files. For details, see Configure Delta Lake to control data file size.

Delta Lake on Databricks improved min, max, and count aggregation query performance

The performance of min, max, and count aggregation queries for Delta Lake on Databricks has been significantly improved by reducing the amount of data that’s read. These queries are now run using statistics and partition values in the metadata, rather than scanning the data.

Presto and Athena support for Delta tables on AWS S3 (Public Preview)

You can now query Delta tables from external tools such as Presto and Athena. Presto and Athena support reading from external tables when the list of data files to process is read from a manifest file, which is a text file containing the list of data files to read for querying a table. When an external table is defined in the Hive metastore using manifest files, Presto and Athena use the list of files in the manifest rather than finding the files by directory listing.

Glue Catalog as Databricks metastore

Glue Catalog support is generally available. This feature lets you configure Databricks Runtime to use the AWS Glue Data Catalog as its metastore, which can serve as a drop-in replacement for an external Hive metastore. It also enables multiple Databricks workspaces to share the same metastore. For more information and limitations, see Use AWS Glue Data Catalog as a metastore (legacy).

Preview

Credential passthrough for Glue Catalog is in Private Preview. Contact support if you’d like to try this out.

Faster model inference pipelines with improved binary file data source and scalar iterator pandas UDF (Public Preview)

Machine learning tasks, especially in the image and video domain, often have to operate on a large number of files. In Databricks Runtime 5.4, we already made available the binary file data source to help ETL arbitrary files such as images, into Spark tables. In Databricks Runtime 5.5, we have added an option, recursiveFileLookup, to load files recursively from nested input directories. See Binary file.

The binary file data source enables you to run model inference tasks in parallel from Spark tables using a scalar pandas UDF. However, you might have to initialize the model for every record batch, which introduces overhead. In Databricks Runtime 5.5, we backported a new pandas UDF type called “scalar iterator” from Apache Spark master. With it you can initialize a model only once and apply the model to many input batches, which can result in a 2-3x speedup for models like ResNet50. See Series to scalar UDF.

Secrets API in R notebooks

The Secrets API lets you inject secrets into notebooks without hardcoding them. This API is now available in R notebooks in addition to existing support for Python and Scala notebooks. You can use the dbutils.secrets.get function to obtain secrets. Secrets are redacted before printing to a notebook cell.

Improvements

  • Support for running Delta Lake SQL operations in Python foreachBatch: We have fixed the known limitation of not being able to write to Delta tables from inside foreachBatch of a Structured Streaming query defined in Python. This is useful in a common Python streaming workloads; for example, Writing streaming aggregates in update mode using MERGE and foreachBatch.

  • Performance of Delta tables stored in Azure Data Lake Gen2: The check for the latest version of a Delta table on ADLS Gen2 now only checks the end of the transaction log, rather than listing all available versions. This optimization makes UPDATE a constant time operation, significantly improving the latency.

  • Scalability of Optimize ZORDER BY: Z-Ordering on very large Delta tables now uses smaller units of work that are governed by advanced admission control. This feature improves the stability of this operation without sacrificing cluster utilization.

  • Improved performance of DML commands on tables with large number of columns: We now perform better column pruning when scanning for matching data in UPDATE, DELETE, and MERGE commands.

  • Support for VNet + Service Endpoints setup in Spark - Synapse Analytics connector: We added ADL Gen2 paths to an allow list as temp data locations (.option("tempDir", "abfss://...")) and added a new option called useAzureMSI, to be used instead of forward_spark_azure_storage_credentials in case your Synapse Analytics is configured to authenticate via Managed Identities to your V2 storage account.

  • Automatic invalidation for disk caching: Disk caching now automatically detects files that have been modified or overwritten after being cached. Any stale entries are automatically invalidated and evicted from the cache. See Optimize performance with caching on Databricks.

  • Upgraded Python library wheel from 0.33.3 to 0.33.4.

  • Upgraded R library nlme from 3.1-139 to 3.1-140.

Bug fixes

  • Fixed a bug that the S3-SQS/ABS-AQS connector may hit a corrupt Delta table error when a file gets removed and re-added.

  • Fixed cancellation for R commands that do not run Spark jobs. Previously, R commands that do not run Spark jobs could be cancelled, but the notebooks’ state would be lost; commands can now be cancelled without losing notebook state.

  • Dropping or moving a managed table now invalidates the cached Delta Lake log.

  • Fixed a bug that writing Delta Lake checkpoint may fail due to FileAlreadyExistsException.

  • Scala REPL now sets the proper -target:jvm-1.8 flag to support calling Java methods that use Java 8 features.

Apache Spark

Databricks Runtime 5.5 includes Apache Spark 2.4.3. This release includes all Spark fixes and improvements included in Databricks Runtime 5.4 (EoS), as well as the following additional bug fixes and improvements made to Spark:

  • [SPARK-26856][PYSPARK] Fix UT failure due to wrong patterns for Kinesis assembly

  • [SPARK-24695] Allow UDFs to return CalendarInterval

  • [SPARK-28056] add docstring/doctest for SCALAR_ITER pandas UDF

  • [SPARK-28185] Closes the generator when Python UDFs stop early

  • [SPARK-24703] Support for interval multiplication

  • [SPARK-27018][CORE] Fix incorrect removal of checkpointed file in PeriodicCheckpointer

  • [SPARK-28127][SQL] Micro optimization on TreeNode’s mapChildren method

  • [SPARK-26038] Decimal toScalaBigInt/toJavaBigInteger for decimals not fitting in long

  • [SPARK-26555][SQL] make ScalaReflection subtype checking thread safe

  • [SPARK-28081][ML] Handle large vocab counts in word2vec

  • [SPARK-21882][CORE] OutputMetrics doesn’t count written bytes correctly in the saveAsHadoopDataset function

  • [SPARK-28030] convert filePath to URI in binary file data source

  • [SPARK-27803][SQL][PYTHON] Fix column pruning for Python UDF

  • [SPARK-27917][SQL] canonical form of CaseWhen object is incorrect

  • [SPARK-27798][SQL] from_avro shouldn’t produces same value when converted to local relation

  • [SPARK-27873][SQL] columnNameOfCorruptRecord should not be checked with column names in CSV header when disabling enforceSchema

  • [SPARK-27907][SQL] HiveUDAF should return NULL in case of 0 rows

  • [SPARK-27699][SQL] Partially push down disjunctive predicated in Parquet/ORC

  • [SPARK-27868][CORE] Better default value and documentation for socket server backlog.

  • [SPARK-27869][CORE] Redact sensitive information in System Properties from UI

  • [SPARK-27863][SQL][BACKPORT-2.4] Metadata files and temporary files should not be counted as data files

  • [SPARK-27657][ML] Fix the log format of ml.util.Instrumentation.logFai…

  • [SPARK-27858][SQL] Fix for Avro deserialization on union types with multiple non-null types

  • [SPARK-27711][CORE] Unset InputFileBlockHolder at the end of tasks

  • [SPARK-27351][SQL] Wrong outputRows estimation after AggregateEstimation with only null value column

  • [SPARK-27539][SQL] Fix inaccurate aggregate outputRows estimation with column containing null values”

  • [SPARK-27800][SQL] Fix wrong answer on BitwiseXor test cases

  • [SPARK-27639][SQL] InMemoryTableScan shows the table name on UI if possible

  • [SPARK-27726][CORE] Fix performance of ElementTrackingStore deletes when using InMemoryStore under high loads

  • [SPARK-27771][SQL] Add SQL description for grouping functions (cube, rollup, grouping and grouping_id)

  • [SPARK-27735][SS] Parsing interval string should be case-insensitive in SS

  • [SPARK-26856][PYSPARK] Python support for from_avro and to_avro APIs

  • [SPARK-26870][SQL] Move to_avro/from_avro into functions object due to Java compatibility

  • [SPARK-26812][SQL] Report correct nullability for complex datatypes in Union

  • [SPARK-27671][SQL] Fix error when casting from a nested null in a struct

  • [SPARK-27673][SQL] Add since info to random, regex, null expressions

  • [SPARK-27672][SQL] Add since info to string expressions

  • [SPARK-25139][SPARK-18406][CORE] Avoid NonFatals to kill the Executor in PythonRunner

  • [SPARK-27624][CORE] Fix CalenderInterval to show an empty interval correctly

  • [SPARK-27577][MLLIB] Correct thresholds downsampled in BinaryClassificationMetrics

  • [SPARK-27621][ML] Linear Regression - validate training related params such as loss only during fitting phase

  • [SPARK-26048][SPARK-24530] Cherrypick all the missing commits to 2.4 release script

  • [SPARK-24935][SQL] support INIT -> UPDATE -> MERGE -> FINISH in Hive UDAF adapter

System environment

  • Operating System: Ubuntu 16.04.6 LTS

  • Java: 1.8.0_252

  • Scala: 2.11.12

  • Python: 2.7.12 for Python 2 clusters and 3.5.2 for Python 3 clusters.

  • R: R version 3.6.0 (2019-04-26)

  • GPU clusters: The following NVIDIA GPU libraries are installed:

    • Tesla driver 375.66

    • CUDA 9.0

    • cuDNN 7.0

Note

Although Scala 2.12 is supported in Apache Spark 2.4, it is not supported in Databricks Runtime 5.5.

Installed Python libraries

Library

Version

Library

Version

Library

Version

ansi2html

1.1.1

argparse

1.2.1

backports-abc

0.5

boto

2.42.0

boto3

1.4.1

botocore

1.4.70

brewer2mpl

1.4.1

certifi

2016.2.28

cffi

1.7.0

chardet

2.3.0

colorama

0.3.7

configobj

5.0.6

cryptography

1.5

cycler

0.10.0

Cython

0.24.1

decorator

4.0.10

docutils

0.14

enum34

1.1.6

et-xmlfile

1.0.1

freetype-py

1.0.2

funcsigs

1.0.2

fusepy

2.0.4

futures

3.2.0

ggplot

0.6.8

html5lib

0.999

idna

2.1

ipaddress

1.0.16

ipython

2.2.0

ipython-genutils

0.1.0

jdcal

1.2

Jinja2

2.8

jmespath

0.9.0

llvmlite

0.13.0

lxml

3.6.4

MarkupSafe

0.23

matplotlib

1.5.3

mpld3

0.2

msgpack-python

0.4.7

ndg-httpsclient

0.3.3

numba

0.28.1

numpy

1.11.1

openpyxl

2.3.2

pandas

0.19.2

pathlib2

2.1.0

patsy

0.4.1

pexpect

4.0.1

pickleshare

0.7.4

Pillow

3.3.1

pip

19.1.1

ply

3.9

prompt-toolkit

1.0.7

psycopg2

2.6.2

ptyprocess

0.5.1

py4j

0.10.3

pyarrow

0.8.0

pyasn1

0.1.9

pycparser

2.14

Pygments

2.1.3

PyGObject

3.20.0

pyOpenSSL

16.0.0

pyparsing

2.2.0

pypng

0.0.18

Python

2.7.12

python-dateutil

2.5.3

python-geohash

0.8.5

pytz

2016.6.1

requests

2.11.1

s3transfer

0.1.9

scikit-learn

0.18.1

scipy

0.18.1

scour

0.32

seaborn

0.7.1

setuptools

41.0.1

simplejson

3.8.2

simples3

1.0

singledispatch

3.4.0.3

six

1.10.0

statsmodels

0.6.1

tornado

5.1.1

traitlets

4.3.0

urllib3

1.19.1

virtualenv

16.1.0

wcwidth

0.1.7

wheel

0.33.4

wsgiref

0.1.2

Installed R libraries

Library

Version

Library

Version

Library

Version

abind

1.4-5

askpass

1.1

assertthat

0.2.1

backports

1.1.3

base

3.6.0

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

boot

1.3-20

brew

1.0-6

callr

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

clisymbols

1.2.0

cluster

2.0.8

codetools

0.2-16

colorspace

1.4-1

commonmark

1.7

compiler

3.6.0

config

0.3

crayon

1.3.4

curl

3.3

data.table

1.12.0

datasets

3.6.0

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

foreign

0.8-71

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

glue

1.3.1

gower

0.2.0

graphics

3.6.0

grDevices

3.6.0

grid

3.6.0

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

maps

3.3.0

maptools

0.9-5

MASS

7.3-51.1

Matrix

1.2-17

MatrixModels

0.4-1

memoise

1.1.0

methods

3.6.0

mgcv

1.8-28

mime

0.6

minqa

1.2.4

ModelMetrics

1.2.2

munsell

0.5.0

mvtnorm

1.0-10

nlme

3.1-140

nloptr

1.2.1

nnet

7.3-12

numDeriv

2016.8-1

openssl

1.3

openxlsx

4.1.0

parallel

3.6.0

pbkrtest

0.4-7

pillar

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

praise

1.0.0

prettyunits

1.0.2

pROC

1.14.0

processx

3.3.0

prodlim

2018.04.18

progress

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

readr

1.3.1

readxl

1.3.1

recipes

0.1.5

rematch

1.0.1

remotes

2.0.2

reshape2

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

scales

1.0.0

sessioninfo

1.1.1

sp

1.3-1

sparklyr

1.0.0

SparkR

2.4.4

SparseM

1.77

spatial

7.3-11

splines

3.6.0

sqldf

0.4-11

SQUAREM

2017.10-1

statmod

1.4.30

stats

3.6.0

stats4

3.6.0

stringi

1.4.3

stringr

1.4.0

survival

2.43-3

sys

3.1

tcltk

3.6.0

TeachingDemos

2.10

testthat

2.0.1

tibble

2.1.1

tidyr

0.8.3

tidyselect

0.2.5

timeDate

3043.102

tools

3.6.0

usethis

1.4.0

utf8

1.1.4

utils

3.6.0

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

Installed Java and Scala libraries (Scala 2.11 cluster version)

Group ID

Artifact ID

Version

antlr

antlr

2.7.7

com.amazonaws

amazon-kinesis-client

1.8.10

com.amazonaws

aws-java-sdk-autoscaling

1.11.313

com.amazonaws

aws-java-sdk-cloudformation

1.11.313

com.amazonaws

aws-java-sdk-cloudfront

1.11.313

com.amazonaws

aws-java-sdk-cloudhsm

1.11.313

com.amazonaws

aws-java-sdk-cloudsearch

1.11.313

com.amazonaws

aws-java-sdk-cloudtrail

1.11.313

com.amazonaws

aws-java-sdk-cloudwatch

1.11.313

com.amazonaws

aws-java-sdk-cloudwatchmetrics

1.11.313

com.amazonaws

aws-java-sdk-codedeploy

1.11.313

com.amazonaws

aws-java-sdk-cognitoidentity

1.11.313

com.amazonaws

aws-java-sdk-cognitosync

1.11.313

com.amazonaws

aws-java-sdk-config

1.11.313

com.amazonaws

aws-java-sdk-core

1.11.313

com.amazonaws

aws-java-sdk-datapipeline

1.11.313

com.amazonaws

aws-java-sdk-directconnect

1.11.313

com.amazonaws

aws-java-sdk-directory

1.11.313

com.amazonaws

aws-java-sdk-dynamodb

1.11.313

com.amazonaws

aws-java-sdk-ec2

1.11.313

com.amazonaws

aws-java-sdk-ecs

1.11.313

com.amazonaws

aws-java-sdk-efs

1.11.313

com.amazonaws

aws-java-sdk-elasticache

1.11.313

com.amazonaws

aws-java-sdk-elasticbeanstalk

1.11.313

com.amazonaws

aws-java-sdk-elasticloadbalancing

1.11.313

com.amazonaws

aws-java-sdk-elastictranscoder

1.11.313

com.amazonaws

aws-java-sdk-emr

1.11.313

com.amazonaws

aws-java-sdk-glacier

1.11.313

com.amazonaws

aws-java-sdk-glue

1.11.313

com.amazonaws

aws-java-sdk-iam

1.11.313

com.amazonaws

aws-java-sdk-importexport

1.11.313

com.amazonaws

aws-java-sdk-kinesis

1.11.313

com.amazonaws

aws-java-sdk-kms

1.11.313

com.amazonaws

aws-java-sdk-lambda

1.11.313

com.amazonaws

aws-java-sdk-logs

1.11.313

com.amazonaws

aws-java-sdk-machinelearning

1.11.313

com.amazonaws

aws-java-sdk-opsworks

1.11.313

com.amazonaws

aws-java-sdk-rds

1.11.313

com.amazonaws

aws-java-sdk-redshift

1.11.313

com.amazonaws

aws-java-sdk-route53

1.11.313

com.amazonaws

aws-java-sdk-s3

1.11.313

com.amazonaws

aws-java-sdk-ses

1.11.313

com.amazonaws

aws-java-sdk-simpledb

1.11.313

com.amazonaws

aws-java-sdk-simpleworkflow

1.11.313

com.amazonaws

aws-java-sdk-sns

1.11.313

com.amazonaws

aws-java-sdk-sqs

1.11.313

com.amazonaws

aws-java-sdk-ssm

1.11.313

com.amazonaws

aws-java-sdk-storagegateway

1.11.313

com.amazonaws

aws-java-sdk-sts

1.11.313

com.amazonaws

aws-java-sdk-support

1.11.313

com.amazonaws

aws-java-sdk-swf-libraries

1.11.22

com.amazonaws

aws-java-sdk-workspaces

1.11.313

com.amazonaws

jmespath-java

1.11.313

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-shaded

4.0.2

com.esotericsoftware

minlog

1.3.0

com.fasterxml

classmate

1.0.0

com.fasterxml.jackson.core

jackson-annotations

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

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

1.3.2-2

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

5.2.0

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

config

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-configuration

commons-configuration

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

metrics-core

3.1.5

io.dropwizard.metrics

metrics-ganglia

3.1.5

io.dropwizard.metrics

metrics-graphite

3.1.5

io.dropwizard.metrics

metrics-healthchecks

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

4.1.17.Final

javax.activation

activation

1.1.1

javax.annotation

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

validation-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

log4j

apache-log4j-extras

1.2.17

log4j

log4j

1.2.17

maven-trees

hive-exec-with-glue

hive-12679-patch_deploy

maven-trees

hive-exec-with-glue

hive-exec_shaded

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

0.9.5

net.snowflake

snowflake-jdbc

3.6.15

net.snowflake

spark-snowflake_2.11

2.4.10-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

arrow-format

0.10.0

org.apache.arrow

arrow-memory

0.10.0

org.apache.arrow

arrow-vector

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-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

2.7.3

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

4.5.4

org.apache.httpcomponents

httpcore

4.4.8

org.apache.ivy

ivy

2.4.0

org.apache.orc

orc-core-nohive

1.5.2

org.apache.orc

orc-mapreduce-nohive

1.5.2

org.apache.orc

orc-shims

1.5.2

org.apache.parquet

parquet-column

1.10.1.1-databricks3

org.apache.parquet

parquet-common

1.10.1.1-databricks3

org.apache.parquet

parquet-encoding

1.10.1.1-databricks3

org.apache.parquet

parquet-format

2.4.0

org.apache.parquet

parquet-hadoop

1.10.1.1-databricks3

org.apache.parquet

parquet-jackson

1.10.1.1-databricks3

org.apache.thrift

libfb303

0.9.3

org.apache.thrift

libthrift

0.9.3

org.apache.xbean

xbean-asm6-shaded

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

9.3.20.v20170531

org.eclipse.jetty

jetty-continuation

9.3.20.v20170531

org.eclipse.jetty

jetty-http

9.3.20.v20170531

org.eclipse.jetty

jetty-io

9.3.20.v20170531

org.eclipse.jetty

jetty-jndi

9.3.20.v20170531

org.eclipse.jetty

jetty-plus

9.3.20.v20170531

org.eclipse.jetty

jetty-proxy

9.3.20.v20170531

org.eclipse.jetty

jetty-security

9.3.20.v20170531

org.eclipse.jetty

jetty-server

9.3.20.v20170531

org.eclipse.jetty

jetty-servlet

9.3.20.v20170531

org.eclipse.jetty

jetty-servlets

9.3.20.v20170531

org.eclipse.jetty

jetty-util

9.3.20.v20170531

org.eclipse.jetty

jetty-webapp

9.3.20.v20170531

org.eclipse.jetty

jetty-xml

9.3.20.v20170531

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-repackaged

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.hibernate

hibernate-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-all

1.9.5

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

5.2.1

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

unused

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