Databricks Runtime 4.3 (Unsupported)

Databricks released this image in August 2018.

Important

This release was deprecated on April 9, 2019. For more information about the Databricks Runtime deprecation policy and schedule, see Databricks runtime support lifecycle.

The following release notes provide information about Databricks Runtime 4.3, powered by Apache Spark.

New features

  • Delta Lake

    • TRUNCATE TABLE command: Delete all rows from a table. Unlike its counterpart for Spark tables, Delta tables do not support deleting specific partitions. Also see TRUNCATE TABLE.

    • ALTER TABLE REPLACE COLUMNS command: Replace columns in a Delta table. It supports changing the comment of a column and reordering multiple columns. Also see ALTER TABLE.

    • FSCK REPAIR TABLE command: Remove the file entries from the transaction log of a Delta table that can no longer be found in the underlying file system. This can happen when these files have been manually deleted. Also see FSCK REPAIR TABLE.

    • Support for queries on stale Delta tables to improve the interactive query experience: Queries on Delta tables can now run on a stale version of the table when up to date results are not necessary. This feature reduces the latency of queries especially when underlying Delta tables are updated continuously through streams. Also see Improve interactive query performance.

  • Structured Streaming

    • Scalable streaming write support for Azure Synapse Analytics Connector.

    • Support for foreachBatch() in Python (already available in Scala). See foreach and foreachBatch documentation for more details.

    • Support for choosing either the min or max watermark when there are multiple input streams in a query. Previously the minimum timestamp was always used. See the multiple watermark policy for more details.

    • Support for the LIMIT operator for streams in Append and Complete output modes. To minimize OOM errors on the driver, LIMIT is automatically applied when you use display() on unbounded streams.

Improvements

  • Delta Lake

    • Private preview of new scalable implementation of MERGE INTO command that does not have the 10000 row insert limit. Contact support if you’d like to try this out.

    • Better performance and scalability of the OPTIMIZE command, especially on larger clusters.

    • The OPTIMIZE command now commits to the table incrementally, meaning that if the command fails, a retry will not need to process the entire data set.

    • Reduced the number of file system RPCs required to discover new data when using Delta Lake as a streaming source.

    • Added support for df.writeStream.table(table-name) in Python to create a Delta table from a stream.

    • Improved table loading latency and streaming latency for Delta Lake when S3 versioning is enabled.

  • Improved performance for queries with multiple joins, aggregations, or windows.

  • Improved efficiency for partition-level pruning in queries with broadcast hash joins.

  • Improvements to whole stage code generation to detect duplicate expressions, reduce the amount of code generated, and improve performance for certain expression types.

  • High concurrency clusters now support running %fs in notebooks.

  • Upgraded Py4J used by PySpark to 0.10.7.

  • The TensorBoard UI now supports Community Edition and clusters without public IPs. Using TensorBoard UI no longer requires changes to security groups in AWS.

Deprecated features

  • Data Skipping outside of Databricks Delta is deprecated. An enhanced version of data skipping will continue to be available as part of Delta Lake. We recommend that you switch to using Delta Lake to continue to take advantage of this feature. See Databricks Delta Data Skipping for details.

Bug fixes

  • Fixed incorrect predicate pushdown MERGE INTO statement for Delta when the ON condition had predicates that referenced only the target table.

  • Fixed bug in mapGroupsWithState and flatMapGroupsWithState that prevented setting timeouts when state has been removed (SPARK-22187).

  • Fixed bug the prevented watermarking to work correctly with Trigger.Once (SPARK-24699).

  • Update command now validates the columns in the SET clause to make sure all columns actually exist and no column is set more than once.

  • Fixed a potential race condition that could cause deadlocks for directory commit.

  • Fixed a bug in S3 access where file size is incorrectly set to be the encrypted size when CSE is enabled causing Parquet file reader to fail.

  • Fixed a bug causing a deprecated version of the DBFS client to be used when refreshing mounts.

Known issues

  • Delta Lake configuration options for a table take effect only in the first notebook that loads the table.

Apache Spark

Databricks Runtime 4.3 includes Apache Spark 2.3.1. This release includes all fixes and improvements included in Databricks Runtime 4.2 (Unsupported), as well as the following additional bug fixes and improvements made to Spark:

  • [SPARK-24934][SQL] Explicitly allow supported types in upper/lower bounds for in-memory partition pruning

    • When complex data types are used in query filters against cached data, Spark always returns an empty result set. The in-memory stats-based pruning generates incorrect results, because null is set for upper/lower bounds for complex types. The fix is to not use in-memory stats-based pruning for complex types.

  • [SPARK-24957][SQL] Average with decimal followed by aggregation returns wrong result

    • The incorrect results of AVERAGE might be returned. The CAST added in the Average operator will be bypassed if the result of Divide is the same type which it is casted to.

  • [SPARK-24867][SQL] Add AnalysisBarrier to DataFrameWriter

    • SQL cache is not being used when using DataFrameWriter to write a DataFrame with UDF. This is a regression caused by the changes we made in AnalysisBarrier, since not all the Analyzer rules are idempotent.

  • [SPARK-24790][SQL] Allow complex aggregate expressions in Pivot

    • Relax the check to allow complex aggregate expressions, like ceil(sum(col1)) or sum(col1) + 1, which roughly means any aggregate expression that could appear in an Aggregate plan except pandas UDF.

  • [SPARK-24870][SQL] Cache can’t work normally if there are case letters in SQL

    • Fixes a plan canonicalization issue.

  • [SPARK-24852]Have spark.ml training use updated Instrumentation APIs.

  • [SPARK-24891][SQL] Fix HandleNullInputsForUDF rule

    • Make HandleNullInputsForUDF rule idempotent, to avoid plan mismatch in cache manager when a plan is analyzed more than once.

  • [SPARK-24878][SQL] Fix reverse function for array type of primitive type containing null.

  • [SPARK-24871][SQL] Refactor Concat and MapConcat to avoid creating concatenator object for each row.

  • [SPARK-24802][SQL] Add a new config for Optimization Rule Exclusion

    • Provides a config to users to exclude some optimizer rules.

  • [SPARK-24879][SQL] Fix NPE in Hive partition pruning filter pushdown

    • When the partition predicate is something like col IN (1, null), an NPE will be thrown. This patch fixes it.

  • [SPARK-23731][SQL] Make FileSourceScanExec canonicalizable after being (de)serialized

  • [SPARK-24755][CORE] Executor loss can cause task to not be resubmitted

    • Fixes a bug that Spark may not resubmit tasks failed by executor loss. This bug was introduced in Spark 2.3.

  • [SPARK-24677][CORE] Avoid NoSuchElementException from MedianHeap

    • Fixes a speculative tasks related bug when collecting task duration metrics.

  • [SPARK-24868][PYTHON] add sequence function in Python

  • [SPARK-21811][SPARK-24012][SPARK-24737][SPARK-24165][SPARK-24734][SPARK-24840][SQL] Fix type coercions and nullabilities.

  • [SPARK-24699][SS] Make watermarks work with Trigger.Once by saving updated watermark to commit log

  • [SPARK-24537][R] Add array_remove / array_zip / map_from_arrays / array_distinct

  • [SPARK-22187][SS] Update unsaferow format for saved state in flatMapGroupsWithState to allow timeouts with deleted state (4.x)

  • [SPARK-24681][SQL] Verify nested column names in Hive metastore

    • Make sure nested column names do not include ‘,’, ‘:’, and ‘;’ in Hive metastore

  • [SPARK-23486]cache the function name from the external catalog for lookupFunctions

    • To speed up function lookups.

  • [SPARK-24781][SQL] Using a reference from Dataset in Filter/Sort might not work

  • [SPARK-24208][SQL] Fix attribute deduplication for FlatMapGroupsInPandas

    • Fix self-join failure on a dataset which contains a FlatMapGroupsInPandas because of duplicate attributes

  • [SPARK-24530][PYTHON] Add a control to force Python version in Sphinx via environment variable, SPHINXPYTHON

  • [SPARK-24250]support accessing SQLConf inside tasks

    • Save all the SQL configs to job properties when an SQL execution is triggered. At executor side we rebuild the SQLConf from job properties.

  • [SPARK-23936][SQL] Implement map_concat

  • [SPARK-23914][SQL] Add array_union function

  • [SPARK-24732][SQL] Type coercion between MapTypes.

    • Adds support for type coercion between MapTypes where both the key types and the value types are compatible. For example, types MapType(IntegerType, FloatType) and MapType(LongType, DoubleType) can be coerced to type MapType(LongType, DoubleType)

  • [SPARK-24662][SQL][SS] Support limit in structured streaming

  • [SPARK-24730][SS] Add policy to choose max as global watermark when streaming query has multiple watermarks (branch-4.x)

  • [SPARK-24596][SQL] Non-cascading Cache Invalidation

    • When uncache or drop temp view, it’s unnecessary to cascadingly uncache all the plans that depend on the view, as the underlying data are not changed.

  • [SPARK-23927][SQL] Add “sequence” expression

  • [SPARK-24636][SQL] Type coercion of arrays for array_join function

  • [SPARK-22384][SQL] Refine partition pruning when attribute is wrapped in Cast

    • Improve partition pruning, able to push down partition predicates with safe type cast(int to long, not long to int).

  • [SPARK-24385][SQL] Resolve self-join condition ambiguity for EqualNullSafe

    • Implements EqualNullSafe for self-join condition ambiguity resolving.

  • [SPARK-24696][SQL] ColumnPruning rule fails to remove extra Project

    • Fixes a bug in the ColumnPruning rule that caused an infinite loop error in the Optimizer.

  • [SPARK-24603][SQL] Fix findTightestCommonType reference in comments

  • [SPARK-24613][SQL] Cache with UDF could not be matched with subsequent dependent caches

    • Wraps the logical plan with a AnalysisBarrier for execution plan compilation in CacheManager, in order to avoid the plan being analyzed again. This is also a regression of Spark 2.3.

  • [SPARK-24017][SQL] Refactor ExternalCatalog to be an interface

  • [SPARK-24324][PYTHON] pandas Grouped Map UDF should assign result columns by name

    • Assigns result columns by schema name if user labeled with strings, otherwise using position.

  • [SPARK-23778][CORE] Avoid unneeded shuffle when union gets an empty RDD

    • Ignores incoming empty RDDs in the union method to avoid an unneeded extra-shuffle when all the other RDDs have the same partitioning.

  • [SPARK-24552][CORE][SQL] Use unique id instead of attempt number for writes.

    • Passes the unique task attempt id instead of attempt number to v2 data sources because attempt number is reused when stages are retried. This affects the data source V1 and V2 APIs, but the file format APIs will not be affected because DBR using different commit protocol.

  • [SPARK-24588][SS] streaming join should require HashClusteredPartitioning from children.

  • [SPARK-24589][CORE] Correctly identify tasks in output commit coordinator.

    • Adds more information to the stage state tracked by the coordinator, so that only one task is allowed to commit the output. This fix also removes the useless code changes introduced by SPARK-18113.

  • [SPARK-23933][SQL] Add map_from_arrays function

  • [SPARK-24583][SQL] Wrong schema type in InsertIntoDataSourceCommand

    • When creating a Delta table with NOT NULL constraints, we could drop nullability and insert the NULL values without checking the violation.

  • [SPARK-24542][SQL] UDF series UDFXPathXXXX allow users to pass carefully crafted XML to access arbitrary files

    • This is a security patch reported from the community. UDF series UDFXPathXXXX allow users to pass carefully crafted XML to access arbitrary files. When users use the external access control library, users might bypass them and access the file contents.

  • [SPARK-23934][SQL] Adding map_from_entries function

  • [SPARK-23912][SQL] Add array_distinct

  • [SPARK-24574][SQL] array_contains, array_position, array_remove and element_at functions deal with Column type

System environment

  • Operating System: Ubuntu 16.04.4 LTS

  • Java: 1.8.0_162

  • Scala: 2.11.8

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

  • R: R version 3.4.4 (2018-03-15)

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

    • Tesla driver 375.66

    • CUDA 9.0

    • cuDNN 7.0

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

10.0.1

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

39.2.0

simplejson

3.8.2

simples3

1.0

singledispatch

3.4.0.3

six

1.10.0

statsmodels

0.6.1

tornado

5.0.2

traitlets

4.3.0

urllib3

1.19.1

virtualenv

15.0.1

wcwidth

0.1.7

wheel

0.31.1

wsgiref

0.1.2

Installed R Libraries

Library

Version

Library

Version

Library

Version

abind

1.4-5

assertthat

0.2.0

backports

1.1.2

base

3.4.4

BH

1.66.0-1

bindr

0.1.1

bindrcpp

0.2.2

bit

1.1-12

bit64

0.9-7

bitops

1.0-6

blob

1.1.1

boot

1.3-20

brew

1.0-6

broom

0.4.4

car

3.0-0

carData

3.0-1

caret

6.0-79

cellranger

1.1.0

chron

2.3-52

class

7.3-14

cli

1.0.0

cluster

2.0.7-1

codetools

0.2-15

colorspace

1.3-2

commonmark

1.4

compiler

3.4.4

crayon

1.3.4

curl

3.2

CVST

0.2-1

data.table

1.10.4-3

datasets

3.4.4

DBI

0.8

ddalpha

1.3.1.1

DEoptimR

1.0-8

desc

1.1.1

devtools

1.13.5

dichromat

2.0-0

digest

0.6.15

dimRed

0.1.0

doMC

1.3.5

dplyr

0.7.4

DRR

0.0.3

forcats

0.3.0

foreach

1.4.4

foreign

0.8-70

gbm

2.1.3

ggplot2

2.2.1

git2r

0.21.0

glmnet

2.0-16

glue

1.2.0

gower

0.1.2

graphics

3.4.4

grDevices

3.4.4

grid

3.4.4

gsubfn

0.7

gtable

0.2.0

h2o

3.16.0.2

haven

1.1.1

hms

0.4.2

httr

1.3.1

hwriter

1.3.2

hwriterPlus

1.0-3

ipred

0.9-6

iterators

1.0.9

jsonlite

1.5

kernlab

0.9-25

KernSmooth

2.23-15

labeling

0.3

lattice

0.20-35

lava

1.6.1

lazyeval

0.2.1

littler

0.3.3

lme4

1.1-17

lubridate

1.7.3

magrittr

1.5

mapproj

1.2.6

maps

3.3.0

maptools

0.9-2

MASS

7.3-50

Matrix

1.2-14

MatrixModels

0.4-1

memoise

1.1.0

methods

3.4.4

mgcv

1.8-24

mime

0.5

minqa

1.2.4

mnormt

1.5-5

ModelMetrics

1.1.0

munsell

0.4.3

mvtnorm

1.0-7

nlme

3.1-137

nloptr

1.0.4

nnet

7.3-12

numDeriv

2016.8-1

openssl

1.0.1

openxlsx

4.0.17

parallel

3.4.4

pbkrtest

0.4-7

pillar

1.2.1

pkgconfig

2.0.1

pkgKitten

0.1.4

plogr

0.2.0

plyr

1.8.4

praise

1.0.0

prettyunits

1.0.2

pROC

1.11.0

prodlim

1.6.1

proto

1.0.0

psych

1.8.3.3

purrr

0.2.4

quantreg

5.35

R.methodsS3

1.7.1

R.oo

1.21.0

R.utils

2.6.0

R6

2.2.2

randomForest

4.6-14

RColorBrewer

1.1-2

Rcpp

0.12.16

RcppEigen

0.3.3.4.0

RcppRoll

0.2.2

RCurl

1.95-4.10

readr

1.1.1

readxl

1.0.0

recipes

0.1.2

rematch

1.0.1

reshape2

1.4.3

rio

0.5.10

rlang

0.2.0

robustbase

0.92-8

RODBC

1.3-15

roxygen2

6.0.1

rpart

4.1-13

rprojroot

1.3-2

Rserve

1.7-3

RSQLite

2.1.0

rstudioapi

0.7

scales

0.5.0

sfsmisc

1.1-2

sp

1.2-7

SparkR

2.3.1

SparseM

1.77

spatial

7.3-11

splines

3.4.4

sqldf

0.4-11

SQUAREM

2017.10-1

statmod

1.4.30

stats

3.4.4

stats4

3.4.4

stringi

1.1.7

stringr

1.3.0

survival

2.42-3

tcltk

3.4.4

TeachingDemos

2.10

testthat

2.0.0

tibble

1.4.2

tidyr

0.8.0

tidyselect

0.2.4

timeDate

3043.102

tools

3.4.4

utf8

1.1.3

utils

3.4.4

viridisLite

0.3.0

whisker

0.3-2

withr

2.1.2

xml2

1.2.0

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

1.7.3

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-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

0.4.1-db1-spark2.3

com.databricks

dbml-local_2.11-tests

0.4.1-db1-spark2.3

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

3.0.3

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.jamesmurty.utils

java-xmlbuilder

1.1

com.jcraft

jsch

0.1.50

com.jolbox

bonecp

0.8.0.RELEASE

com.mchange

c3p0

0.9.5.1

com.mchange

mchange-commons-java

0.2.10

com.microsoft.azure

azure-data-lake-store-sdk

2.2.8

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

0.8.4

com.twitter

chill_2.11

0.8.4

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

2.5.9

com.vlkan

flatbuffers

1.2.0-3f79e055

com.zaxxer

HikariCP

3.1.0

commons-beanutils

commons-beanutils

1.7.0

commons-beanutils

commons-beanutils-core

1.8.0

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

2.2

commons-pool

commons-pool

1.5.4

info.ganglia.gmetric4j

gmetric4j

1.0.7

io.airlift

aircompressor

0.8

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

io.prometheus

simpleclient

0.0.16

io.prometheus

simpleclient_common

0.0.16

io.prometheus

simpleclient_dropwizard

0.0.16

io.prometheus

simpleclient_servlet

0.0.16

io.prometheus.jmx

collector

0.7

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

2.11

joda-time

joda-time

2.9.3

log4j

apache-log4j-extras

1.2.17

log4j

log4j

1.2.17

net.hydromatic

eigenbase-properties

1.1.5

net.iharder

base64

2.3.8

net.java.dev.jets3t

jets3t

0.9.4

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-jdbc

3.6.3

net.snowflake

spark-snowflake_2.11

2.4.1

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

0.8.0

org.apache.arrow

arrow-memory

0.8.0

org.apache.arrow

arrow-vector

0.8.0

org.apache.avro

avro

1.7.7

org.apache.avro

avro-ipc

1.7.7

org.apache.avro

avro-ipc-tests

1.7.7

org.apache.avro

avro-mapred-hadoop2

1.7.7

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

1.4.1

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

1.4.3

org.apache.orc

orc-mapreduce-nohive

1.4.3

org.apache.parquet

parquet-column

1.8.3-databricks2

org.apache.parquet

parquet-common

1.8.3-databricks2

org.apache.parquet

parquet-encoding

1.8.3-databricks2

org.apache.parquet

parquet-format

2.3.1

org.apache.parquet

parquet-hadoop

1.8.3-databricks2

org.apache.parquet

parquet-jackson

1.8.3-databricks2

org.apache.thrift

libfb303

0.9.3

org.apache.thrift

libthrift

0.9.3

org.apache.xbean

xbean-asm5-shaded

4.4

org.apache.zookeeper

zookeeper

3.4.6

org.bouncycastle

bcprov-jdk15on

1.58

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

3.0.8

org.codehaus.janino

janino

3.0.8

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

3.2.11

org.json4s

json4s-core_2.11

3.2.11

org.json4s

json4s-jackson_2.11

3.2.11

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

2.1

org.postgresql

postgresql

42.1.4

org.roaringbitmap

RoaringBitmap

0.5.11

org.rocksdb

rocksdbjni

5.2.1

org.rosuda.REngine

REngine

2.1.0

org.scala-lang

scala-compiler_2.11

2.11.8

org.scala-lang

scala-library_2.11

2.11.8

org.scala-lang

scala-reflect_2.11

2.11.8

org.scala-lang

scalap_2.11

2.11.8

org.scala-lang.modules

scala-parser-combinators_2.11

1.0.2

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.scalanlp

breeze-macros_2.11

0.13.2

org.scalanlp

breeze_2.11

0.13.2

org.scalatest

scalatest_2.11

2.2.6

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-exec

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

1.0

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

1.1.2.6

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