Databricks Runtime 10.1 (Unsupported)

The following release notes provide information about Databricks Runtime 10.1 and Databricks Runtime 10.1 Photon, powered by Apache Spark 3.2.0. Databricks released these images in November 2021. Photon is in Public Preview.

New features and improvements

New Delta table settings for compacting small files

The Delta table property delta.autoOptimize.autoCompact now accepts the new values of auto and legacy in addition to the existing values of true and false. When set to auto (recommended), Auto Compaction uses better defaults, such as setting 32 MB as the target file size (although default behaviors are subject to change in the future). When set to legacy or true, Auto Compaction uses 128 MB as the target file size.

Instead of setting this property for an individual table, you can set the spark.databricks.delta.autoCompact.enabled configuration to auto, legacy, or true to enable Auto Compaction for all Delta tables. This configuration takes precedence over the related table property during the current session.

The target file size for Auto Compaction can be controlled with the spark.databricks.delta.autoCompact.maxFileSize configuration.

For more information about Auto Compaction, see Enable auto optimize and When to opt in to auto compaction.

New row group metrics for Parquet query scans

Queries with Parquet scans now surface row group metrics in the Spark UI. These row group metrics are:

  • total number of parquet row groups

  • number of parquet row groups read

Trigger.AvailableNow for Delta source streaming queries

This change supports a new type of trigger for Delta source streaming queries in Scala: Trigger.AvailableNow. It is like Trigger.Once, which processes all available data then stops the query. However, Trigger.AvailableNow provides better scalability, because data can be processed in multiple batches instead of one. This change does not introduce a new interface; it implements an existing Spark API. This trigger also supports all of the rate limiting options that are already supported by Delta as a source.

Example:

spark.readStream
  .format("delta")
  .option("maxFilesPerTrigger", "1")
  .load(inputDir)
  .writeStream
  .trigger(Trigger.AvailableNow)
  .option("checkpointLocation", checkpointDir)
  .start()

See coverage of Trigger.AvailableNow in What is Auto Loader?.

Trigger.AvailableNow for Auto Loader

Trigger.AvailableNow is a new streaming trigger mode similar to Trigger.Once. Trigger.Once processes all available data and then stops the query. Trigger.AvailableNow has better scalability, because data can be processed in multiple batches instead of one. Auto Loader now supports Trigger.AvailableNow in both directory listing and file notification modes for Scala. See coverage of Trigger.AvailableNow in What is Auto Loader?.

Delta support for Hadoop file system configurations that are passed through DataFrame options

Similar to Parquet, Delta now supports reading Hadoop file system configurations from DataFrameReader and DataFrameWriter options when the table is read or written, by using DataFrameReader.load(path) or DataFrameWriter.save(path). See Configure storage credentials for Delta Lake.

Asynchronous state checkpointing is now supported in stateful streaming jobs (Public Preview)

Asynchronous state checkpointing is a new feature which potentially reduces end-to-end microbatch latency in stateful streaming jobs with large state updates. See Asynchronous state checkpointing for Structured Streaming.

Sparklyr with credential passthrough

You can now use the sparklyr APIs to read and write data to and from cloud storage by using credential passthrough. This functionality is limited to standard clusters with single user access. See Access S3 with IAM credential passthrough with SCIM.

Databricks Utilities data summarize precision control (Public Preview)

A new precise parameter for dbutils.data.summarize controls the precision of summary results. When precise is set to false (the default), the summary returns approximate results for distinct count, percentile, and frequent item counts. When precise is set to true, summaries are now computed with exact distinct count and frequent item counts, with more precise percentile estimates. See summarize command (dbutils.data.summarize).

Databricks Utilities credentials API for R

You can now use dbutils.credentials with credential passthrough in R notebooks. See Credentials utility (dbutils.credentials).

Databricks notebooks can now be used with the IPython kernel

You can now configure a Databricks cluster to use the IPython kernel to execute Python code. Using the IPython kernel on Databricks adds support for IPython’s display and output tooling. Also, the IPython kernel captures the stdout and stderr outputs of child processes created by a notebook, allowing that output to be included in the notebook’s command results.

For more information, see IPython kernel.

Bug fixes

  • Fixed a race condition that might cause a query failure with an IOException such as No FileSystem for scheme or that might cause modifications to sparkContext.hadoopConfiguration to not take effect in queries.

Library upgrades

  • Upgraded Python libraries:

    • filelock from 3.0.12 to 3.3.1

    • koalas from 1.8.1 to 1.8.2

    • plotly from 5.1.0 to 5.3.0

  • Upgraded R libraries:

    • bslib from 0.3.0 to 0.3.1

    • caret from 6.0-88 to 6.0-90

    • cpp11 from 0.3.1 to 0.4.0

    • data.table from 1.14.0 to 1.14.2

    • desc from 1.3.0 to 1.4.0

    • diffobj from 0.3.4 to 0.3.5

    • digest from 0.6.27 to 0.6.28

    • generics from 0.1.0 to 0.1.1

    • hms from 1.1.0 to 1.1.1

    • knitr from 1.34 to 1.36

    • lattice from 0.20-44 to 0.20-45

    • lifecycle from 1.0.0 to 1.0.1

    • lubridate from 1.7.10 to 1.8.0

    • mgcv from 1.8-37 to 1.8-38

    • mime from 0.11 to 0.12

    • pkgload from 1.2.2 to 1.2.3

    • progressr from 0.8.0 to 0.9.0

    • rcmdcheck from 1.3.3 to 1.4.0

    • readr from 2.0.1 to 2.0.2

    • recipes from 0.1.16 to 0.1.17

    • remotes from 2.4.0 to 2.4.1

    • rlang from 0.4.11 to 0.4.12

    • rvest from 1.0.1 to 1.0.2

    • shiny from 1.6.0 to 1.7.1

    • stringi from 1.7.4 to 1.7.5

    • testthat from 3.0.4 to 3.1.0

    • tidyr from 1.1.3 to 1.1.4

    • tinytex from 0.33 to 0.34

    • usethis from 2.0.1 to 2.1.2

    • xfun from 0.26 to 0.27

  • Upgraded Java libraries:

    • com.zaxxer.HikariCP from 3.1.0 to 4.0.3

Apache Spark

Databricks Runtime 10.1 includes Apache Spark 3.2.0. This release includes all Spark fixes and improvements included in Databricks Runtime 10.0 (Unsupported), as well as the following additional bug fixes and improvements made to Spark:

  • [SPARK-37037] [SQL] Improve byte array sort by unify compareTo function of UTF8String and ByteArray

  • [SPARK-37091] [R] SystemRequirements to include Java < 18

  • [SPARK-37041] [SQL] Backport HIVE-15025: Secure-Socket-Layer (SSL) support for HMS

  • [SPARK-37098] [SQL] Alter table properties should invalidate cache

  • [SPARK-36992] [SQL] Improve byte array sort perf by unify getPrefix function of UTF8String and ByteArray

  • [SPARK-37047] [SQL] Add lpad and rpad functions for binary strings

  • [SPARK-37076] [SQL] Implement StructType.toString explicitly for Scala 2.13

  • [SPARK-37075] [SQL] Move UDAF expression building from sql/catalyst to sql/core

  • [SPARK-37084] [SQL] Set spark.sql.files.openCostInBytes to bytesConf

  • [SPARK-37088] [PYSPARK][SQL] Writer thread must not access input after task completion listener returns

  • [SPARK-37069] [SQL] Properly fallback when Hive.getWithoutRegisterFns is not available

  • [SPARK-37050] [PYTHON] Update Conda installation instructions

  • [SPARK-37067] [SQL] Use ZoneId.of() to handle timezone string in DatetimeUtils

  • [SPARK-35925] [SQL] Support DayTimeIntervalType in width-bucket function

  • [SPARK-35926] [SQL] Add support YearMonthIntervalType for width_bucket

  • [SPARK-35973] [SQL] Add command SHOW CATALOGS

  • [SPARK-36922] [SQL] The SIGN/SIGNUM functions should support ANSI intervals

  • [SPARK-37078] [CORE] Support old 3-parameter Sink constructors

  • [SPARK-37061] [SQL] Fix CustomMetrics when using Inner Classes

  • [SPARK-35918] [AVRO] Unify schema mismatch handling for read/write and enhance error messages

  • [SPARK-36871] [SQL]Migrate CreateViewStatement to v2 command

  • [SPARK-36898] [SQL] Make the shuffle hash join factor configurable

  • [SPARK-36921] [SQL] Support ANSI intervals by DIV

  • [SPARK-36794] [SQL] Ignore duplicated join keys when building relation for SEMI/ANTI shuffled hash join

  • [SPARK-36867] [SQL] Fix error message with GROUP BY alias

  • [SPARK-36914] [SQL] Implement dropIndex and listIndexes in JDBC (MySQL dialect)

  • [SPARK-35531] [SQL] Directly pass hive Table to HiveClient when call getPartitions to avoid unnecessary convert from HiveTable -> CatalogTable - -> HiveTable

  • [SPARK-36718] [SQL] Only collapse projects if we don’t duplicate expensive expressions

  • [SPARK-37046] [SQL]: Alter view does not preserve column case

  • [SPARK-36978] [SQL] InferConstraints rule should create IsNotNull constraints on the accessed nested field instead of the root nested type

  • [SPARK-37052] [CORE] Spark should only pass –verbose argument to main class when is sql shell

  • [SPARK-37017] [SQL] Reduce the scope of synchronized to prevent potential deadlock

  • [SPARK-37032] [SQL] Fix broken SQL syntax link in SQL Reference page

  • [SPARK-36905] [SQL] Fix reading hive views without explicit column names

  • [SPARK-36678] Migrate SHOW TABLES to use V2 command by default

  • [SPARK-36943] [SQL] Improve readability of missing column error message

  • [SPARK-36980] [SQL] Insert support query with CTE

  • [SPARK-37001] [SQL] Disable two level of map for final hash aggregation by default

  • [SPARK-36970] [SQL] Manual disabled format B of date_format function to make Java 17 compatible with Java 8

  • [SPARK-36546] [SQL] Add array support to union by name

  • [SPARK-36979] [SQL] Add RewriteLateralSubquery rule into nonExcludableRules

  • [SPARK-36949] [SQL] Disallow Hive provider tables with ANSI intervals

  • [SPARK-36849] [SQL] Migrate UseStatement to v2 command framework

  • [SPARK-36868] [SQL] Migrate CreateFunctionStatement to v2 command framework

  • [SPARK-36841] [SQL] Add ansi syntax set catalog xxx to change the current catalog

  • [SPARK-36821] [SQL] Make class ColumnarBatch extendable - addendum

  • [SPARK-36963] [SQL] Add max_by/min_by to sql.functions

  • [SPARK-36913] [SQL] Implement createIndex and IndexExists in DS V2 JDBC (MySQL dialect)

  • [SPARK-36848] [SQL] Migrate ShowCurrentNamespaceStatement to v2 command framework

  • [SPARK-36526] [SQL] DSV2 Index Support: Add supportsIndex interface

  • [SPARK-36960] [SQL] Pushdown filters with ANSI interval values to ORC

  • [SPARK-36929] [SQL] Remove Unused Method EliminateSubqueryAliasesSuite#assertEquivalent

  • [SPARK-36931] [SQL] Support reading and writing ANSI intervals from/to ORC datasources

  • [SPARK-34980] [SQL] Support coalesce partition through union in AQE

  • [SPARK-36809] [SQL] Remove broadcast for InSubqueryExec used in DPP

  • [SPARK-36813] [SQL][PYTHON] Propose an infrastructure of as-of join and imlement ps.merge_asof

  • [SPARK-36918] [SQL] Ignore types when comparing structs for unionByName

  • [SPARK-36891] [SQL] Refactor SpecificParquetRecordReaderBase and add more coverage on vectorized Parquet decoding

  • [SPARK-36920] [SQL] Support ANSI intervals by ABS()

  • [SPARK-36888] [SQL] add tests cases for sha2 function

  • [SPARK-36889] [SQL] Respect spark.sql.parquet.filterPushdown by v2 parquet scan builder

  • [SPARK-36830] [SQL] Support reading and writing ANSI intervals from/to JSON datasources

  • [SPARK-36870] [SQL] Introduce INTERNAL_ERROR error class

  • [SPARK-36831] [SQL] Support reading and writing ANSI intervals from/to CSV datasources.

  • [SPARK-36550] [SQL] Propagation cause when UDF reflection fails

  • [SPARK-36866] [SQL] Pushdown filters with ANSI interval values to parquet

  • [SPARK-33832] [SQL] Force skew join code simplification and improvement

  • [SPARK-36642] [SQL] Add df.withMetadata pyspark API

  • [SPARK-35765] [SQL] Distinct aggs are not duplicate sensitive

  • [SPARK-36825] [SQL] Read/write dataframes with ANSI intervals from/to parquet files

  • [SPARK-36829] [SQL] Refactor NULL check for collectionOperators

  • [SPARK-32712] [SQL] Support writing Hive bucketed table (Hive file formats with Hive hash)

  • [SPARK-36797] [SQL] Union should resolve nested columns as top-level columns

  • [SPARK-36838] [SQL] Improve InSet generated code performance

  • [SPARK-36683] [SQL] Add new built-in SQL functions: SEC and CSC

  • [SPARK-36721] [SQL] Simplify boolean equalities if one side is literal

  • [SPARK-36760] [SQL] Add interface SupportsPushDownV2Filters

  • [SPARK-36652] [SQL] AQE dynamic join selection should not apply to non-equi join

  • [SPARK-36745] [SQL] ExtractEquiJoinKeys should return the original predicates on join keys

  • [SPARK-36107] [SQL] Refactor first set of 20 query execution errors to use error classes

  • [SPARK-32709] [SQL] Support writing Hive bucketed table (Parquet/ORC format with Hive hash)

  • [SPARK-36735] [SQL] Adjust overhead of cached relation for DPP

  • [SPARK-33832] [SQL] Support optimize skewed join even if introduce extra shuffle

  • [SPARK-36822] [SQL] BroadcastNestedLoopJoinExec should use all condition instead of non-equi condition

  • [SPARK-35221] [SQL] Add the check of supported join hints

  • [SPARK-36814] [SQL] Make class ColumnarBatch extendable

  • [SPARK-36663] [SQL] Support number-only column names in ORC data sources

  • [SPARK-36751] [SQL][PYTHON][R] Add bit/octet_length APIs to Scala, Python and R

  • [SPARK-36733] [SQL] Fix a perf issue in SchemaPruning when a struct has many fields

  • [SPARK-36724] [SQL] Support timestamp_ntz as a type of time column for SessionWindow

  • [SPARK-36556] [SQL] Add DSV2 filters

  • [SPARK-36687] [SQL][CORE] Rename error classes with _ERROR suffix

  • [SPARK-35803] [SQL] Support DataSource V2 CreateTempViewUsing

  • [SPARK-36642] [SQL] Add df.withMetadata: a syntax suger to update the metadata of a dataframe

System environment

  • Operating System: Ubuntu 20.04.3 LTS

  • Java: Zulu 8.56.0.21-CA-linux64

  • Scala: 2.12.14

  • Python: 3.8.10

  • R: 4.1.1

  • Delta Lake: 1.0.0

Installed Python libraries

Library

Version

Library

Version

Library

Version

Antergos Linux

2015.10 (ISO-Rolling)

appdirs

1.4.4

argon2-cffi

20.1.0

async-generator

1.10

attrs

20.3.0

backcall

0.2.0

bleach

3.3.0

boto3

1.16.7

botocore

1.19.7

certifi

2020.12.5

cffi

1.14.5

chardet

4.0.0

cycler

0.10.0

Cython

0.29.23

dbus-python

1.2.16

decorator

5.0.6

defusedxml

0.7.1

distlib

0.3.3

distro-info

0.23ubuntu1

entrypoints

0.3

facets-overview

1.0.0

filelock

3.3.1

idna

2.10

ipykernel

5.3.4

ipython

7.22.0

ipython-genutils

0.2.0

ipywidgets

7.6.3

jedi

0.17.2

Jinja2

2.11.3

jmespath

0.10.0

joblib

1.0.1

jsonschema

3.2.0

jupyter-client

6.1.12

jupyter-core

4.7.1

jupyterlab-pygments

0.1.2

jupyterlab-widgets

1.0.0

kiwisolver

1.3.1

koalas

1.8.2

MarkupSafe

2.0.1

matplotlib

3.4.2

mistune

0.8.4

nbclient

0.5.3

nbconvert

6.0.7

nbformat

5.1.3

nest-asyncio

1.5.1

notebook

6.3.0

numpy

1.19.2

packaging

20.9

pandas

1.2.4

pandocfilters

1.4.3

parso

0.7.0

patsy

0.5.1

pexpect

4.8.0

pickleshare

0.7.5

Pillow

8.2.0

pip

21.0.1

plotly

5.3.0

prometheus-client

0.10.1

prompt-toolkit

3.0.17

protobuf

3.17.2

psycopg2

2.8.5

ptyprocess

0.7.0

pyarrow

4.0.0

pycparser

2.20

Pygments

2.8.1

PyGObject

3.36.0

pyparsing

2.4.7

pyrsistent

0.17.3

python-apt

2.0.0+ubuntu0.20.4.6

python-dateutil

2.8.1

pytz

2020.5

pyzmq

20.0.0

requests

2.25.1

requests-unixsocket

0.2.0

s3transfer

0.3.7

scikit-learn

0.24.1

scipy

1.6.2

seaborn

0.11.1

Send2Trash

1.5.0

setuptools

52.0.0

six

1.15.0

ssh-import-id

5.10

statsmodels

0.12.2

tenacity

8.0.1

terminado

0.9.4

testpath

0.4.4

threadpoolctl

2.1.0

tornado

6.1

traitlets

5.0.5

unattended-upgrades

0.1

urllib3

1.25.11

virtualenv

20.4.1

wcwidth

0.2.5

webencodings

0.5.1

wheel

0.36.2

widgetsnbextension

3.5.1

Installed R libraries

R libraries are installed from the Microsoft CRAN snapshot on 2021-10-26.

Library

Version

Library

Version

Library

Version

askpass

1.1

assertthat

0.2.1

backports

1.2.1

base

4.1.1

base64enc

0.1-3

bit

4.0.4

bit64

4.0.5

blob

1.2.2

boot

1.3-28

brew

1.0-6

brio

1.1.2

broom

0.7.9

bslib

0.3.1

cachem

1.0.6

callr

3.7.0

caret

6.0-90

cellranger

1.1.0

chron

2.3-56

class

7.3-19

cli

3.0.1

clipr

0.7.1

cluster

2.1.2

codetools

0.2-18

colorspace

2.0-2

commonmark

1.7

compiler

4.1.1

config

0.3.1

cpp11

0.4.0

crayon

1.4.1

credentials

1.3.1

curl

4.3.2

data.table

1.14.2

datasets

4.1.1

DBI

1.1.1

dbplyr

2.1.1

desc

1.4.0

devtools

2.4.2

diffobj

0.3.5

digest

0.6.28

dplyr

1.0.7

dtplyr

1.1.0

e1071

1.7-9

ellipsis

0.3.2

evaluate

0.14

fansi

0.5.0

farver

2.1.0

fastmap

1.1.0

fontawesome

0.2.2

forcats

0.5.1

foreach

1.5.1

foreign

0.8-81

forge

0.2.0

fs

1.5.0

future

1.22.1

future.apply

1.8.1

gargle

1.2.0

generics

0.1.1

gert

1.4.1

ggplot2

3.3.5

gh

1.3.0

gitcreds

0.1.1

glmnet

4.1-2

globals

0.14.0

glue

1.4.2

googledrive

2.0.0

googlesheets4

1.0.0

gower

0.2.2

graphics

4.1.1

grDevices

4.1.1

grid

4.1.1

gridExtra

2.3

gsubfn

0.7

gtable

0.3.0

haven

2.4.3

highr

0.9

hms

1.1.1

htmltools

0.5.2

htmlwidgets

1.5.4

httpuv

1.6.3

httr

1.4.2

hwriter

1.3.2

hwriterPlus

1.0-3

ids

1.0.1

ini

0.3.1

ipred

0.9-12

isoband

0.2.5

iterators

1.0.13

jquerylib

0.1.4

jsonlite

1.7.2

KernSmooth

2.23-20

knitr

1.36

labeling

0.4.2

later

1.3.0

lattice

0.20-45

lava

1.6.10

lifecycle

1.0.1

listenv

0.8.0

lubridate

1.8.0

magrittr

2.0.1

markdown

1.1

MASS

7.3-54

Matrix

1.3-4

memoise

2.0.0

methods

4.1.1

mgcv

1.8-38

mime

0.12

ModelMetrics

1.2.2.2

modelr

0.1.8

munsell

0.5.0

nlme

3.1-152

nnet

7.3-16

numDeriv

2016.8-1.1

openssl

1.4.5

parallel

4.1.1

parallelly

1.28.1

pillar

1.6.4

pkgbuild

1.2.0

pkgconfig

2.0.3

pkgload

1.2.3

plogr

0.2.0

plyr

1.8.6

praise

1.0.0

prettyunits

1.1.1

pROC

1.18.0

processx

3.5.2

prodlim

2019.11.13

progress

1.2.2

progressr

0.9.0

promises

1.2.0.1

proto

1.0.0

proxy

0.4-26

ps

1.6.0

purrr

0.3.4

r2d3

0.2.5

R6

2.5.1

randomForest

4.6-14

rappdirs

0.3.3

rcmdcheck

1.4.0

RColorBrewer

1.1-2

Rcpp

1.0.7

readr

2.0.2

readxl

1.3.1

recipes

0.1.17

rematch

1.0.1

rematch2

2.1.2

remotes

2.4.1

reprex

2.0.1

reshape2

1.4.4

rlang

0.4.12

rmarkdown

2.11

RODBC

1.3-19

roxygen2

7.1.2

rpart

4.1-15

rprojroot

2.0.2

Rserve

1.8-8

RSQLite

2.2.8

rstudioapi

0.13

rversions

2.1.1

rvest

1.0.2

sass

0.4.0

scales

1.1.1

selectr

0.4-2

sessioninfo

1.1.1

shape

1.4.6

shiny

1.7.1

sourcetools

0.1.7

sparklyr

1.7.2

SparkR

3.2.0

spatial

7.3-11

splines

4.1.1

sqldf

0.4-11

SQUAREM

2021.1

stats

4.1.1

stats4

4.1.1

stringi

1.7.5

stringr

1.4.0

survival

3.2-13

sys

3.4

tcltk

4.1.1

TeachingDemos

2.10

testthat

3.1.0

tibble

3.1.5

tidyr

1.1.4

tidyselect

1.1.1

tidyverse

1.3.1

timeDate

3043.102

tinytex

0.34

tools

4.1.1

tzdb

0.1.2

usethis

2.1.2

utf8

1.2.2

utils

4.1.1

uuid

0.1-4

vctrs

0.3.8

viridisLite

0.4.0

vroom

1.5.5

waldo

0.3.1

whisker

0.4

withr

2.4.2

xfun

0.27

xml2

1.3.2

xopen

1.0.0

xtable

1.8-4

yaml

2.2.1

zip

2.2.0

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-glue

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

2.12.2

com.fasterxml.jackson.core

jackson-core

2.12.2

com.fasterxml.jackson.core

jackson-databind

2.12.2

com.fasterxml.jackson.dataformat

jackson-dataformat-cbor

2.12.2

com.fasterxml.jackson.datatype

jackson-datatype-joda

2.12.2

com.fasterxml.jackson.module

jackson-module-paranamer

2.12.2

com.fasterxml.jackson.module

jackson-module-scala_2.12

2.12.2

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.luben

zstd-jni

1.5.0-4

com.github.wendykierp

JTransforms

3.1

com.google.code.findbugs

jsr305

3.0.0

com.google.code.gson

gson

2.8.6

com.google.crypto.tink

tink

1.6.0

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

2.3.9

com.microsoft.sqlserver

mssql-jdbc

9.2.1.jre8

com.ning

compress-lzf

1.0.3

com.sun.istack

istack-commons-runtime

3.0.8

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

0.10.0

com.twitter

chill_2.12

0.10.0

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

2.9.1

com.zaxxer

HikariCP

4.0.3

commons-cli

commons-cli

1.2

commons-codec

commons-codec

1.15

commons-collections

commons-collections

3.2.2

commons-dbcp

commons-dbcp

1.4

commons-fileupload

commons-fileupload

1.3.3

commons-httpclient

commons-httpclient

3.1

commons-io

commons-io

2.8.0

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

dev.ludovic.netlib

arpack

1.3.2

dev.ludovic.netlib

blas

1.3.2

dev.ludovic.netlib

lapack

1.3.2

hive-2.3__hadoop-3.2

jets3t-0.7

liball_deps_2.12

info.ganglia.gmetric4j

gmetric4j

1.0.10

io.airlift

aircompressor

0.19

io.delta

delta-sharing-spark_2.12

0.2.0

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

4.1.63.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.servlet

jakarta.servlet-api

4.0.3

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.annotation

javax.annotation-api

1.3.2

javax.el

javax.el-api

2.2.4

javax.jdo

jdo-api

3.0.1

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

maven-trees

hive-2.3__hadoop-3.2

liball_deps_2.12

net.java.dev.jna

jna

5.8.0

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

3.13.3

net.snowflake

spark-snowflake_2.12

2.9.0-spark_3.1

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

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

1.10.2

org.apache.avro

avro-ipc

1.10.2

org.apache.avro

avro-mapred

1.10.2

org.apache.commons

commons-compress

1.20

org.apache.commons

commons-crypto

1.1.0

org.apache.commons

commons-lang3

3.12.0

org.apache.commons

commons-math3

3.4.1

org.apache.commons

commons-text

1.6

org.apache.curator

curator-client

2.13.0

org.apache.curator

curator-framework

2.13.0

org.apache.curator

curator-recipes

2.13.0

org.apache.derby

derby

10.14.2.0

org.apache.hadoop

hadoop-client-api

3.3.1-databricks

org.apache.hadoop

hadoop-client-runtime

3.3.1

org.apache.hive

hive-beeline

2.3.9

org.apache.hive

hive-cli

2.3.9

org.apache.hive

hive-jdbc

2.3.9

org.apache.hive

hive-llap-client

2.3.9

org.apache.hive

hive-llap-common

2.3.9

org.apache.hive

hive-serde

2.3.9

org.apache.hive

hive-shims

2.3.9

org.apache.hive

hive-storage-api

2.7.2

org.apache.hive.shims

hive-shims-0.23

2.3.9

org.apache.hive.shims

hive-shims-common

2.3.9

org.apache.hive.shims

hive-shims-scheduler

2.3.9

org.apache.htrace

htrace-core4

4.1.0-incubating

org.apache.httpcomponents

httpclient

4.5.13

org.apache.httpcomponents

httpcore

4.4.12

org.apache.ivy

ivy

2.5.0

org.apache.mesos

mesos-shaded-protobuf

1.4.0

org.apache.orc

orc-core

1.6.10

org.apache.orc

orc-mapreduce

1.6.10

org.apache.orc

orc-shims

1.6.10

org.apache.parquet

parquet-column

1.12.0-databricks-0003

org.apache.parquet

parquet-common

1.12.0-databricks-0003

org.apache.parquet

parquet-encoding

1.12.0-databricks-0003

org.apache.parquet

parquet-format-structures

1.12.0-databricks-0003

org.apache.parquet

parquet-hadoop

1.12.0-databricks-0003

org.apache.parquet

parquet-jackson

1.12.0-databricks-0003

org.apache.thrift

libfb303

0.9.3

org.apache.thrift

libthrift

0.12.0

org.apache.xbean

xbean-asm9-shaded

4.20

org.apache.yetus

audience-annotations

0.5.0

org.apache.zookeeper

zookeeper

3.6.2

org.apache.zookeeper

zookeeper-jute

3.6.2

org.checkerframework

checker-qual

3.5.0

org.codehaus.jackson

jackson-core-asl

1.9.13

org.codehaus.jackson

jackson-mapper-asl

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

9.4.40.v20210413

org.eclipse.jetty

jetty-continuation

9.4.40.v20210413

org.eclipse.jetty

jetty-http

9.4.40.v20210413

org.eclipse.jetty

jetty-io

9.4.40.v20210413

org.eclipse.jetty

jetty-jndi

9.4.40.v20210413

org.eclipse.jetty

jetty-plus

9.4.40.v20210413

org.eclipse.jetty

jetty-proxy

9.4.40.v20210413

org.eclipse.jetty

jetty-security

9.4.40.v20210413

org.eclipse.jetty

jetty-server

9.4.40.v20210413

org.eclipse.jetty

jetty-servlet

9.4.40.v20210413

org.eclipse.jetty

jetty-servlets

9.4.40.v20210413

org.eclipse.jetty

jetty-util

9.4.40.v20210413

org.eclipse.jetty

jetty-util-ajax

9.4.40.v20210413

org.eclipse.jetty

jetty-webapp

9.4.40.v20210413

org.eclipse.jetty

jetty-xml

9.4.40.v20210413

org.eclipse.jetty.websocket

websocket-api

9.4.40.v20210413

org.eclipse.jetty.websocket

websocket-client

9.4.40.v20210413

org.eclipse.jetty.websocket

websocket-common

9.4.40.v20210413

org.eclipse.jetty.websocket

websocket-server

9.4.40.v20210413

org.eclipse.jetty.websocket

websocket-servlet

9.4.40.v20210413

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.jaxb

jaxb-runtime

2.3.2

org.glassfish.jersey.containers

jersey-container-servlet

2.34

org.glassfish.jersey.containers

jersey-container-servlet-core

2.34

org.glassfish.jersey.core

jersey-client

2.34

org.glassfish.jersey.core

jersey-common

2.34

org.glassfish.jersey.core

jersey-server

2.34

org.glassfish.jersey.inject

jersey-hk2

2.34

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.jetbrains

annotations

17.0.0

org.joda

joda-convert

1.7

org.jodd

jodd-core

3.5.2

org.json4s

json4s-ast_2.12

3.7.0-M11

org.json4s

json4s-core_2.12

3.7.0-M11

org.json4s

json4s-jackson_2.12

3.7.0-M11

org.json4s

json4s-scalap_2.12

3.7.0-M11

org.lz4

lz4-java

1.7.1

org.mariadb.jdbc

mariadb-java-client

2.2.5

org.objenesis

objenesis

2.5.1

org.postgresql

postgresql

42.2.19

org.roaringbitmap

RoaringBitmap

0.9.14

org.roaringbitmap

shims

0.9.14

org.rocksdb

rocksdbjni

6.20.3

org.rosuda.REngine

REngine

2.1.0

org.scala-lang

scala-compiler_2.12

2.12.14

org.scala-lang

scala-library_2.12

2.12.14

org.scala-lang

scala-reflect_2.12

2.12.14

org.scala-lang.modules

scala-collection-compat_2.12

2.4.3

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

1.8

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

1.1.8.4

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