Google
Cloud Platform
Amazon Web Services
Microsoft AzureDatabricks Runtime 7.4 (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 November 2020.
The following release notes provide information about Databricks Runtime 7.4, powered by Apache Spark 3.0.
Note
These release notes may include references to features that are not available on Google Cloud as of this release.
New features
In this section:
Delta Lake features and improvements
This release provides the following Delta Lake features and improvements:
New API allows Delta Lake to verify that data added to a table satisfies constraints
Delta Lake now supports CHECK constraints. When supplied, Delta Lake automatically verifies that data added to a table satisfies the specified expression.
To add CHECK constraints, use the ALTER TABLE ADD CONSTRAINTS command. For details, see Constraints on Databricks.
New API allows you to roll back a Delta table to an older version of the table
You can now roll back your Delta tables to older versions by using the RESTORE command:
RESTORE <table> TO VERSION AS OF n;
RESTORE <table> TO TIMESTAMP AS OF 'yyyy-MM-dd HH:mm:ss';
from delta.tables import DeltaTable
DeltaTable.forName(spark, "table_name").restoreToVersion(n)
DeltaTable.forName(spark, "table_name").restoreToTimestamp('yyyy-MM-dd')
import io.delta.tables.DeltaTable
DeltaTable.forName(spark, "table_name").restoreToVersion(n)
DeltaTable.forName(spark, "table_name").restoreToTimestamp("yyyy-MM-dd")
RESTORE creates a new commit that rolls back all changes made to your table since the version you want to restore. All existing data and metadata is restored, which includes the schema, constraints, streaming transaction IDs, COPY INTO metadata, and the table protocol version. For details, see Restore a Delta table.
New starting version allows returning only latest changes in a Delta Lake streaming source
To return only the latest changes, specify startingVersion as latest. For details, see Specify initial position.
Improved stability of OPTIMIZE
OPTIMIZE (without any partition predicates) can scale to running on tables with tens of millions of small files. Previously the Apache Spark driver could run out of memory and OPTIMIZE wouldn’t complete.OPTIMIZE now handles very large tables with tens of millions of files.
New USAGE privilege give admins greater control over data access privileges
To perform an action on an object in a database you must now be granted the USAGE privilege on that database in addition to the privileges required to perform the action. The USAGE privilege is granted for a database or a catalog. With the introduction of the USAGE privilege, a table owner can no longer unilaterally decide to share it with another user; the user must also have the USAGE privilege on the database containing the table.
In workspaces that have table access control enabled, the users group automatically has the USAGE privilege for the root CATALOG.
For details, see USAGE privilege.
DBFS FUSE now enabled for passthrough-enabled clusters
You can now read and write from DBFS using the FUSE mount at /dbfs/ when you are using a High Concurrency cluster enabled for credential passthrough. Regular mounts are supported. Mounts that require passthrough credentials are not supported.
Improvements
Spark SQL supports IFF and CHARINDEX as synonyms for IF and POSITION
In Databricks Runtime IF() is a synonym for CASE WHEN <cond> THEN <expr1> ELSE <expr2> END
Databricks Runtime now supports IFF() as a synonym for IF()
SELECT IFF(c1 = 1, 'Hello', 'World'), c1 FROM (VALUES (1), (2)) AS T(c1)
=> (Hello, 1)
(World, 2)
CHARINDEX is an alternate name for the POSITION function. CHARINDEX finds the position of the first occurrence of a string within another string with an optional start index.
VALUES(CHARINDEX('he', 'hello from hell', 2))
=> 12
Multiple outputs per cell enabled for Python notebooks by default
Databricks Runtime 7.1 introduced support for multiple outputs per cell in Python notebooks (and %python cells within non-Python notebooks), but you were required to enable the feature for your notebook. This feature is enabled by default in Databricks Runtime 7.4. See View multiple outputs per cell.
Autocomplete improvements for Python notebooks
Autocomplete for Python shows additional type information generated from static analysis of the code using the Jedi library. You can press the Tab key to see a list of options.
Improved display of Spark ML vectors in Spark DataFrame preview
The display format now shows labels for vector type (sparse or dense), length, indices (for sparse vectors), and values.
Other fixes
Fixed a pickling issue with
collections.namedtuplein notebooks.Fixed a pickling issue with interactively defined classes and methods.
Fixed a bug that caused calls to
mlflow.start_run()to fail on passthrough or clusters enabled for table access control.
Library upgrades
Upgraded Python libraries:
jedi upgraded from 0.14.1 to 0.17.2.
koalas upgraded from 1.2.0 to 1.3.0.
parso upgraded from 0.5.2 to 0.7.0.
Upgraded several installed R libraries. See Installed R Libraries.
Apache Spark
Databricks Runtime 7.4 includes Apache Spark 3.0.1. This release includes all Spark fixes and improvements included in Databricks Runtime 7.3 LTS (EoS), as well as the following additional bug fixes and improvements made to Spark:
[SPARK-33170] [SQL] Add SQL config to control fast-fail behavior in FileFormatWriter
[SPARK-33136] [SQL] Fix mistakenly swapped parameter in V2WriteCommand.outputResolved
[SPARK-33134] [SQL] Return partial results only for root JSON objects
[SPARK-33038] [SQL] Combine AQE initial and current plan s…
[SPARK-33118] [SQL] CREATE TEMPORARY TABLE fails with location
[SPARK-33101] [ML] Make LibSVM format propagate Hadoop config from DS options to underlying HDFS file system
[SPARK-33035] [SQL] Updates the obsoleted entries of attribute mapping in QueryPlan#transformUpWithNewOutput
[SPARK-33091] [SQL] Avoid using map instead of foreach to avoid potential side effect at callers of OrcUtils.readCatalystSchema
[SPARK-33073] [PYTHON] Improve error handling on Pandas to Arrow conversion failures
[SPARK-33043] [ML] Handle spark.driver.maxResultSize=0 in RowMatrix heuristic computation
[SPARK-29358] [SQL] Make unionByName optionally fill missing columns with nulls
[SPARK-32996] [WEB-UI] Handle empty ExecutorMetrics in ExecutorMetricsJsonSerializer
[SPARK-32585] [SQL] Support scala enumeration in ScalaReflection
[SPARK-33019] [CORE] Use spark.hadoop.mapreduce.fileoutputcommitter.algorithm.version=1 by default
[SPARK-33018] [SQL] Fix estimate statistics issue if child has 0 bytes
[SPARK-32901] [CORE] Do not allocate memory while spilling UnsafeExternalSorter
[SPARK-33015] [SQL] Use millisToDays() in the ComputeCurrentTime rule
[SPARK-33015] [SQL] Compute the current date only once
[SPARK-32999] [SQL] Use Utils.getSimpleName to avoid hitting Malformed class name in TreeNode
[SPARK-32659] [SQL] Broadcast Array instead of Set in InSubqueryExec
[SPARK-32718] [SQL] Remove unnecessary keywords for interval units
[SPARK-32886] [WEBUI] fix ‘undefined’ link in event timeline view
[SPARK-32898] [CORE] Fix wrong executorRunTime when task killed before real start
[SPARK-32635] [SQL] Add a new test case in catalyst module
[SPARK-32930] [CORE] Replace deprecated isFile/isDirectory methods
[SPARK-32906] [SQL] Struct field names should not change after normalizing floats
[SPARK-24994] [SQL] Add UnwrapCastInBinaryComparison optimizer to simplify integral literal
[SPARK-32635] [SQL] Fix foldable propagation
[SPARK-32738] [CORE] Should reduce the number of active threads if fatal error happens in
Inbox.process[SPARK-32900] [CORE] Allow UnsafeExternalSorter to spill when there are nulls
[SPARK-32897] [PYTHON] Don’t show a deprecation warning at SparkSession.builder.getOrCreate
[SPARK-32715] [CORE] Fix memory leak when failed to store pieces of broadcast
[SPARK-32715] [CORE] Fix memory leak when failed to store pieces of broadcast
[SPARK-32872] [CORE] Prevent BytesToBytesMap at MAX_CAPACITY from exceeding growth threshold
[SPARK-32876] [SQL] Change default fallback versions to 3.0.1 and 2.4.7 in HiveExternalCatalogVersionsSuite
[SPARK-32840] [SQL] Invalid interval value can happen to be just adhesive with the unit
[SPARK-32819] [SQL] ignoreNullability parameter should be effective recursively
[SPARK-32832] [SS] Use CaseInsensitiveMap for DataStreamReader/Writer options
[SPARK-32794] [SS] Fixed rare corner case error in micro-batch engine with some stateful queries + no-data-batches + V1 sources
[SPARK-32813] [SQL] Get default config of ParquetSource vectorized reader if no active SparkSession
[SPARK-32823] [WEB UI] Fix the master ui resources reporting
[SPARK-32824] [CORE] Improve the error message when the user forgets the .amount in a resource config
[SPARK-32614] [SQL] Don’t apply comment processing if ‘comment’ unset for CSV
[SPARK-32638] [SQL] Corrects references when adding aliases in WidenSetOperationTypes
[SPARK-32810] [SQL] CSV/JSON data sources should avoid globbing paths when inferring schema
[SPARK-32815] [ML] Fix LibSVM data source loading error on file paths with glob metacharacters
[SPARK-32753] [SQL] Only copy tags to node with no tags
[SPARK-32785] [SQL] Interval with dangling parts should not result null
[SPARK-32764] [SQL] -0.0 should be equal to 0.0
[SPARK-32810] [SQL] CSV/JSON data sources should avoid globbing paths when inferring schema
[SPARK-32779] [SQL] Avoid using synchronized API of SessionCatalog in withClient flow, this leads to DeadLock
[SPARK-32791] [SQL] Non-partitioned table metric should not have dynamic partition pruning time
[SPARK-32767] [SQL] Bucket join should work if spark.sql.shuffle.partitions larger than bucket number
[SPARK-32788] [SQL] non-partitioned table scan should not have partition filter
[SPARK-32776] [SS] Limit in streaming should not be optimized away by PropagateEmptyRelation
[SPARK-32624] [SQL] Fix regression in CodegenContext.addReferenceObj on nested Scala types
[SPARK-32659] [SQL] Improve test for pruning DPP on non-atomic type
[SPARK-31511] [SQL] Make BytesToBytesMap iterators thread-safe
[SPARK-32693] [SQL] Compare two dataframes with same schema except nullable property
[SPARK-28612] [SQL] Correct method doc of DataFrameWriterV2.replace()
System environment
Operating System: Ubuntu 18.04.5 LTS
Java: Zulu 8.48.0.53-CA-linux64 (build 1.8.0_265-b11)
Scala: 2.12.10
Python: 3.7.5
R: R version 3.6.3 (2020-02-29)
Delta Lake 0.7.0
Installed Python libraries
Library |
Version |
Library |
Version |
Library |
Version |
|---|---|---|---|---|---|
asn1crypto |
1.3.0 |
backcall |
0.1.0 |
boto3 |
1.12.0 |
botocore |
1.15.0 |
certifi |
2020.6.20 |
cffi |
1.14.0 |
chardet |
3.0.4 |
cryptography |
2.8 |
cycler |
0.10.0 |
Cython |
0.29.15 |
decorator |
4.4.1 |
docutils |
0.15.2 |
entrypoints |
0.3 |
idna |
2.8 |
ipykernel |
5.1.4 |
ipython |
7.12.0 |
ipython-genutils |
0.2.0 |
jedi |
0.17.2 |
jmespath |
0.10.0 |
joblib |
0.14.1 |
jupyter-client |
5.3.4 |
jupyter-core |
4.6.1 |
kiwisolver |
1.1.0 |
koalas |
1.3.0 |
matplotlib |
3.1.3 |
numpy |
1.18.1 |
pandas |
1.0.1 |
parso |
0.7.0 |
patsy |
0.5.1 |
pexpect |
4.8.0 |
pickleshare |
0.7.5 |
pip |
20.0.2 |
prompt-toolkit |
3.0.3 |
psycopg2 |
2.8.4 |
ptyprocess |
0.6.0 |
pyarrow |
1.0.1 |
pycparser |
2.19 |
Pygments |
2.5.2 |
PyGObject |
3.26.1 |
pyOpenSSL |
19.1.0 |
pyparsing |
2.4.6 |
PySocks |
1.7.1 |
python-apt |
1.6.5+ubuntu0.3 |
python-dateutil |
2.8.1 |
pytz |
2019.3 |
pyzmq |
18.1.1 |
requests |
2.22.0 |
s3transfer |
0.3.3 |
scikit-learn |
0.22.1 |
scipy |
1.4.1 |
seaborn |
0.10.0 |
setuptools |
45.2.0 |
six |
1.14.0 |
ssh-import-id |
5.7 |
statsmodels |
0.11.0 |
tornado |
6.0.3 |
traitlets |
4.3.3 |
unattended-upgrades |
0.1 |
urllib3 |
1.25.8 |
virtualenv |
16.7.10 |
wcwidth |
0.1.8 |
wheel |
0.34.2 |
Installed R libraries
R libraries are installed from Microsoft CRAN snapshot on XXXX-XX-XX.
Library |
Version |
Library |
Version |
Library |
Version |
|---|---|---|---|---|---|
askpass |
1.1 |
assertthat |
0.2.1 |
backports |
1.1.8 |
base |
3.6.3 |
base64enc |
0.1-3 |
BH |
1.72.0-3 |
bit |
1.1-15.2 |
bit64 |
0.9-7 |
blob |
1.2.1 |
boot |
1.3-25 |
brew |
1.0-6 |
broom |
0.7.0 |
callr |
3.4.3 |
caret |
6.0-86 |
cellranger |
1.1.0 |
chron |
2.3-55 |
class |
7.3-17 |
cli |
2.0.2 |
clipr |
0.7.0 |
cluster |
2.1.0 |
codetools |
0.2-16 |
colorspace |
1.4-1 |
commonmark |
1.7 |
compiler |
3.6.3 |
config |
0.3 |
covr |
3.5.0 |
crayon |
1.3.4 |
crosstalk |
1.1.0.1 |
curl |
4.3 |
data.table |
1.12.8 |
datasets |
3.6.3 |
DBI |
1.1.0 |
dbplyr |
1.4.4 |
desc |
1.2.0 |
devtools |
2.3.0 |
digest |
0.6.25 |
dplyr |
0.8.5 |
DT |
0.14 |
ellipsis |
0.3.1 |
evaluate |
0.14 |
fansi |
0.4.1 |
farver |
2.0.3 |
fastmap |
1.0.1 |
forcats |
0.5.0 |
foreach |
1.5.0 |
foreign |
0.8-76 |
forge |
0.2.0 |
fs |
1.4.2 |
generics |
0.0.2 |
ggplot2 |
3.3.2 |
gh |
1.1.0 |
git2r |
0.27.1 |
glmnet |
3.0-2 |
globals |
0.12.5 |
glue |
1.4.1 |
gower |
0.2.2 |
graphics |
3.6.3 |
grDevices |
3.6.3 |
grid |
3.6.3 |
gridExtra |
2.3 |
gsubfn |
0.7 |
gtable |
0.3.0 |
haven |
2.3.1 |
highr |
0.8 |
hms |
0.5.3 |
htmltools |
0.5.0 |
htmlwidgets |
1.5.1 |
httpuv |
1.5.4 |
httr |
1.4.1 |
hwriter |
1.3.2 |
hwriterPlus |
1.0-3 |
ini |
0.3.1 |
ipred |
0.9-9 |
isoband |
0.2.2 |
iterators |
1.0.12 |
jsonlite |
1.7.0 |
KernSmooth |
2.23-17 |
knitr |
1.29 |
labeling |
0.3 |
later |
1.1.0.1 |
lattice |
0.20-41 |
lava |
1.6.7 |
lazyeval |
0.2.2 |
lifecycle |
0.2.0 |
lubridate |
1.7.9 |
magrittr |
1.5 |
markdown |
1.1 |
MASS |
7.3-53 |
Matrix |
1.2-18 |
memoise |
1.1.0 |
methods |
3.6.3 |
mgcv |
1.8-33 |
mime |
0.9 |
ModelMetrics |
1.2.2.2 |
modelr |
0.1.8 |
munsell |
0.5.0 |
nlme |
3.1-149 |
nnet |
7.3-14 |
numDeriv |
2016.8-1.1 |
openssl |
1.4.2 |
parallel |
3.6.3 |
pillar |
1.4.6 |
pkgbuild |
1.1.0 |
pkgconfig |
2.0.3 |
pkgload |
1.1.0 |
plogr |
0.2.0 |
plyr |
1.8.6 |
praise |
1.0.0 |
prettyunits |
1.1.1 |
pROC |
1.16.2 |
processx |
3.4.3 |
prodlim |
2019.11.13 |
progress |
1.2.2 |
promises |
1.1.1 |
proto |
1.0.0 |
ps |
1.3.3 |
purrr |
0.3.4 |
r2d3 |
0.2.3 |
R6 |
2.4.1 |
randomForest |
4.6-14 |
rappdirs |
0.3.1 |
rcmdcheck |
1.3.3 |
RColorBrewer |
1.1-2 |
Rcpp |
1.0.5 |
readr |
1.3.1 |
readxl |
1.3.1 |
recipes |
0.1.13 |
rematch |
1.0.1 |
rematch2 |
2.1.2 |
remotes |
2.1.1 |
reprex |
0.3.0 |
reshape2 |
1.4.4 |
rex |
1.2.0 |
rjson |
0.2.20 |
rlang |
0.4.7 |
rmarkdown |
2.3 |
RODBC |
1.3-16 |
roxygen2 |
7.1.1 |
rpart |
4.1-15 |
rprojroot |
1.3-2 |
Rserve |
1.8-7 |
RSQLite |
2.2.0 |
rstudioapi |
0.11 |
rversions |
2.0.2 |
rvest |
0.3.5 |
scales |
1.1.1 |
selectr |
0.4-2 |
sessioninfo |
1.1.1 |
shape |
1.4.4 |
shiny |
1.5.0 |
sourcetools |
0.1.7 |
sparklyr |
1.3.1 |
SparkR |
3.0.0 |
spatial |
7.3-11 |
splines |
3.6.3 |
sqldf |
0.4-11 |
SQUAREM |
2020.3 |
stats |
3.6.3 |
stats4 |
3.6.3 |
stringi |
1.4.6 |
stringr |
1.4.0 |
survival |
3.2-7 |
sys |
3.3 |
tcltk |
3.6.3 |
TeachingDemos |
2.10 |
testthat |
2.3.2 |
tibble |
3.0.3 |
tidyr |
1.1.0 |
tidyselect |
1.1.0 |
tidyverse |
1.3.0 |
timeDate |
3043.102 |
tinytex |
0.24 |
tools |
3.6.3 |
usethis |
1.6.1 |
utf8 |
1.1.4 |
utils |
3.6.3 |
uuid |
0.1-4 |
vctrs |
0.3.1 |
viridisLite |
0.3.0 |
whisker |
0.4 |
withr |
2.2.0 |
xfun |
0.15 |
xml2 |
1.3.2 |
xopen |
1.0.0 |
xtable |
1.8-4 |
yaml |
2.2.1 |
Installed Java and Scala libraries (Scala 2.12 cluster version)
Group ID |
Artifact ID |
Version |
|---|---|---|
antlr |
antlr |
2.7.7 |
com.amazonaws |
amazon-kinesis-client |
1.12.0 |
com.amazonaws |
aws-java-sdk-autoscaling |
1.11.655 |
com.amazonaws |
aws-java-sdk-cloudformation |
1.11.655 |
com.amazonaws |
aws-java-sdk-cloudfront |
1.11.655 |
com.amazonaws |
aws-java-sdk-cloudhsm |
1.11.655 |
com.amazonaws |
aws-java-sdk-cloudsearch |
1.11.655 |
com.amazonaws |
aws-java-sdk-cloudtrail |
1.11.655 |
com.amazonaws |
aws-java-sdk-cloudwatch |
1.11.655 |
com.amazonaws |
aws-java-sdk-cloudwatchmetrics |
1.11.655 |
com.amazonaws |
aws-java-sdk-codedeploy |
1.11.655 |
com.amazonaws |
aws-java-sdk-cognitoidentity |
1.11.655 |
com.amazonaws |
aws-java-sdk-cognitosync |
1.11.655 |
com.amazonaws |
aws-java-sdk-config |
1.11.655 |
com.amazonaws |
aws-java-sdk-core |
1.11.655 |
com.amazonaws |
aws-java-sdk-datapipeline |
1.11.655 |
com.amazonaws |
aws-java-sdk-directconnect |
1.11.655 |
com.amazonaws |
aws-java-sdk-directory |
1.11.655 |
com.amazonaws |
aws-java-sdk-dynamodb |
1.11.655 |
com.amazonaws |
aws-java-sdk-ec2 |
1.11.655 |
com.amazonaws |
aws-java-sdk-ecs |
1.11.655 |
com.amazonaws |
aws-java-sdk-efs |
1.11.655 |
com.amazonaws |
aws-java-sdk-elasticache |
1.11.655 |
com.amazonaws |
aws-java-sdk-elasticbeanstalk |
1.11.655 |
com.amazonaws |
aws-java-sdk-elasticloadbalancing |
1.11.655 |
com.amazonaws |
aws-java-sdk-elastictranscoder |
1.11.655 |
com.amazonaws |
aws-java-sdk-emr |
1.11.655 |
com.amazonaws |
aws-java-sdk-glacier |
1.11.655 |
com.amazonaws |
aws-java-sdk-iam |
1.11.655 |
com.amazonaws |
aws-java-sdk-importexport |
1.11.655 |
com.amazonaws |
aws-java-sdk-kinesis |
1.11.655 |
com.amazonaws |
aws-java-sdk-kms |
1.11.655 |
com.amazonaws |
aws-java-sdk-lambda |
1.11.655 |
com.amazonaws |
aws-java-sdk-logs |
1.11.655 |
com.amazonaws |
aws-java-sdk-machinelearning |
1.11.655 |
com.amazonaws |
aws-java-sdk-opsworks |
1.11.655 |
com.amazonaws |
aws-java-sdk-rds |
1.11.655 |
com.amazonaws |
aws-java-sdk-redshift |
1.11.655 |
com.amazonaws |
aws-java-sdk-route53 |
1.11.655 |
com.amazonaws |
aws-java-sdk-s3 |
1.11.655 |
com.amazonaws |
aws-java-sdk-ses |
1.11.655 |
com.amazonaws |
aws-java-sdk-simpledb |
1.11.655 |
com.amazonaws |
aws-java-sdk-simpleworkflow |
1.11.655 |
com.amazonaws |
aws-java-sdk-sns |
1.11.655 |
com.amazonaws |
aws-java-sdk-sqs |
1.11.655 |
com.amazonaws |
aws-java-sdk-ssm |
1.11.655 |
com.amazonaws |
aws-java-sdk-storagegateway |
1.11.655 |
com.amazonaws |
aws-java-sdk-sts |
1.11.655 |
com.amazonaws |
aws-java-sdk-support |
1.11.655 |
com.amazonaws |
aws-java-sdk-swf-libraries |
1.11.22 |
com.amazonaws |
aws-java-sdk-workspaces |
1.11.655 |
com.amazonaws |
jmespath-java |
1.11.655 |
com.chuusai |
shapeless_2.12 |
2.3.3 |
com.clearspring.analytics |
stream |
2.9.6 |
com.databricks |
Rserve |
1.8-3 |
com.databricks |
jets3t |
0.7.1-0 |
com.databricks.scalapb |
compilerplugin_2.12 |
0.4.15-10 |
com.databricks.scalapb |
scalapb-runtime_2.12 |
0.4.15-10 |
com.esotericsoftware |
kryo-shaded |
4.0.2 |
com.esotericsoftware |
minlog |
1.3.0 |
com.fasterxml |
classmate |
1.3.4 |
com.fasterxml.jackson.core |
jackson-annotations |
2.10.0 |
com.fasterxml.jackson.core |
jackson-core |
2.10.0 |
com.fasterxml.jackson.core |
jackson-databind |
2.10.0 |
com.fasterxml.jackson.dataformat |
jackson-dataformat-cbor |
2.10.0 |
com.fasterxml.jackson.datatype |
jackson-datatype-joda |
2.10.0 |
com.fasterxml.jackson.module |
jackson-module-paranamer |
2.10.0 |
com.fasterxml.jackson.module |
jackson-module-scala_2.12 |
2.10.0 |
com.github.ben-manes.caffeine |
caffeine |
2.3.4 |
com.github.fommil |
jniloader |
1.1 |
com.github.fommil.netlib |
core |
1.1.2 |
com.github.fommil.netlib |
native_ref-java |
1.1 |
com.github.fommil.netlib |
native_ref-java-natives |
1.1 |
com.github.fommil.netlib |
native_system-java |
1.1 |
com.github.fommil.netlib |
native_system-java-natives |
1.1 |
com.github.fommil.netlib |
netlib-native_ref-linux-x86_64-natives |
1.1 |
com.github.fommil.netlib |
netlib-native_system-linux-x86_64-natives |
1.1 |
com.github.joshelser |
dropwizard-metrics-hadoop-metrics2-reporter |
0.1.2 |
com.github.luben |
zstd-jni |
1.4.4-3 |
com.github.wendykierp |
JTransforms |
3.1 |
com.google.code.findbugs |
jsr305 |
3.0.0 |
com.google.code.gson |
gson |
2.2.4 |
com.google.flatbuffers |
flatbuffers-java |
1.9.0 |
com.google.guava |
guava |
15.0 |
com.google.protobuf |
protobuf-java |
2.6.1 |
com.h2database |
h2 |
1.4.195 |
com.helger |
profiler |
1.1.1 |
com.jcraft |
jsch |
0.1.50 |
com.jolbox |
bonecp |
0.8.0.RELEASE |
com.lihaoyi |
sourcecode_2.12 |
0.1.9 |
com.microsoft.azure |
azure-data-lake-store-sdk |
2.2.8 |
com.microsoft.sqlserver |
mssql-jdbc |
8.2.1.jre8 |
com.ning |
compress-lzf |
1.0.3 |
com.sun.mail |
javax.mail |
1.5.2 |
com.tdunning |
json |
1.8 |
com.thoughtworks.paranamer |
paranamer |
2.8 |
com.trueaccord.lenses |
lenses_2.12 |
0.4.12 |
com.twitter |
chill-java |
0.9.5 |
com.twitter |
chill_2.12 |
0.9.5 |
com.twitter |
util-app_2.12 |
7.1.0 |
com.twitter |
util-core_2.12 |
7.1.0 |
com.twitter |
util-function_2.12 |
7.1.0 |
com.twitter |
util-jvm_2.12 |
7.1.0 |
com.twitter |
util-lint_2.12 |
7.1.0 |
com.twitter |
util-registry_2.12 |
7.1.0 |
com.twitter |
util-stats_2.12 |
7.1.0 |
com.typesafe |
config |
1.2.1 |
com.typesafe.scala-logging |
scala-logging_2.12 |
3.7.2 |
com.univocity |
univocity-parsers |
2.9.0 |
com.zaxxer |
HikariCP |
3.1.0 |
commons-beanutils |
commons-beanutils |
1.9.4 |
commons-cli |
commons-cli |
1.2 |
commons-codec |
commons-codec |
1.10 |
commons-collections |
commons-collections |
3.2.2 |
commons-configuration |
commons-configuration |
1.6 |
commons-dbcp |
commons-dbcp |
1.4 |
commons-digester |
commons-digester |
1.8 |
commons-fileupload |
commons-fileupload |
1.3.3 |
commons-httpclient |
commons-httpclient |
3.1 |
commons-io |
commons-io |
2.4 |
commons-lang |
commons-lang |
2.6 |
commons-logging |
commons-logging |
1.1.3 |
commons-net |
commons-net |
3.1 |
commons-pool |
commons-pool |
1.5.4 |
info.ganglia.gmetric4j |
gmetric4j |
1.0.10 |
io.airlift |
aircompressor |
0.10 |
io.dropwizard.metrics |
metrics-core |
4.1.1 |
io.dropwizard.metrics |
metrics-graphite |
4.1.1 |
io.dropwizard.metrics |
metrics-healthchecks |
4.1.1 |
io.dropwizard.metrics |
metrics-jetty9 |
4.1.1 |
io.dropwizard.metrics |
metrics-jmx |
4.1.1 |
io.dropwizard.metrics |
metrics-json |
4.1.1 |
io.dropwizard.metrics |
metrics-jvm |
4.1.1 |
io.dropwizard.metrics |
metrics-servlets |
4.1.1 |
io.netty |
netty-all |
4.1.47.Final |
jakarta.annotation |
jakarta.annotation-api |
1.3.5 |
jakarta.validation |
jakarta.validation-api |
2.0.2 |
jakarta.ws.rs |
jakarta.ws.rs-api |
2.1.6 |
javax.activation |
activation |
1.1.1 |
javax.el |
javax.el-api |
2.2.4 |
javax.jdo |
jdo-api |
3.0.1 |
javax.servlet |
javax.servlet-api |
3.1.0 |
javax.servlet.jsp |
jsp-api |
2.1 |
javax.transaction |
jta |
1.1 |
javax.transaction |
transaction-api |
1.1 |
javax.xml.bind |
jaxb-api |
2.2.2 |
javax.xml.stream |
stax-api |
1.0-2 |
javolution |
javolution |
5.5.1 |
jline |
jline |
2.14.6 |
joda-time |
joda-time |
2.10.5 |
log4j |
apache-log4j-extras |
1.2.17 |
log4j |
log4j |
1.2.17 |
net.razorvine |
pyrolite |
4.30 |
net.sf.jpam |
jpam |
1.1 |
net.sf.opencsv |
opencsv |
2.3 |
net.sf.supercsv |
super-csv |
2.2.0 |
net.snowflake |
snowflake-ingest-sdk |
0.9.6 |
net.snowflake |
snowflake-jdbc |
3.12.8 |
net.snowflake |
spark-snowflake_2.12 |
2.8.1-spark_3.0 |
net.sourceforge.f2j |
arpack_combined_all |
0.1 |
org.acplt.remotetea |
remotetea-oncrpc |
1.1.2 |
org.antlr |
ST4 |
4.0.4 |
org.antlr |
antlr-runtime |
3.5.2 |
org.antlr |
antlr4-runtime |
4.7.1 |
org.antlr |
stringtemplate |
3.2.1 |
org.apache.ant |
ant |
1.9.2 |
org.apache.ant |
ant-jsch |
1.9.2 |
org.apache.ant |
ant-launcher |
1.9.2 |
org.apache.arrow |
arrow-format |
0.15.1 |
org.apache.arrow |
arrow-memory |
0.15.1 |
org.apache.arrow |
arrow-vector |
0.15.1 |
org.apache.avro |
avro |
1.8.2 |
org.apache.avro |
avro-ipc |
1.8.2 |
org.apache.avro |
avro-mapred-hadoop2 |
1.8.2 |
org.apache.commons |
commons-compress |
1.8.1 |
org.apache.commons |
commons-crypto |
1.0.0 |
org.apache.commons |
commons-lang3 |
3.9 |
org.apache.commons |
commons-math3 |
3.4.1 |
org.apache.commons |
commons-text |
1.6 |
org.apache.curator |
curator-client |
2.7.1 |
org.apache.curator |
curator-framework |
2.7.1 |
org.apache.curator |
curator-recipes |
2.7.1 |
org.apache.derby |
derby |
10.12.1.1 |
org.apache.directory.api |
api-asn1-api |
1.0.0-M20 |
org.apache.directory.api |
api-util |
1.0.0-M20 |
org.apache.directory.server |
apacheds-i18n |
2.0.0-M15 |
org.apache.directory.server |
apacheds-kerberos-codec |
2.0.0-M15 |
org.apache.hadoop |
hadoop-annotations |
2.7.4 |
org.apache.hadoop |
hadoop-auth |
2.7.4 |
org.apache.hadoop |
hadoop-client |
2.7.4 |
org.apache.hadoop |
hadoop-common |
2.7.4 |
org.apache.hadoop |
hadoop-hdfs |
2.7.4 |
org.apache.hadoop |
hadoop-mapreduce-client-app |
2.7.4 |
org.apache.hadoop |
hadoop-mapreduce-client-common |
2.7.4 |
org.apache.hadoop |
hadoop-mapreduce-client-core |
2.7.4 |
org.apache.hadoop |
hadoop-mapreduce-client-jobclient |
2.7.4 |
org.apache.hadoop |
hadoop-mapreduce-client-shuffle |
2.7.4 |
org.apache.hadoop |
hadoop-yarn-api |
2.7.4 |
org.apache.hadoop |
hadoop-yarn-client |
2.7.4 |
org.apache.hadoop |
hadoop-yarn-common |
2.7.4 |
org.apache.hadoop |
hadoop-yarn-server-common |
2.7.4 |
org.apache.hive |
hive-beeline |
2.3.7 |
org.apache.hive |
hive-cli |
2.3.7 |
org.apache.hive |
hive-common |
2.3.7 |
org.apache.hive |
hive-exec-core |
2.3.7 |
org.apache.hive |
hive-jdbc |
2.3.7 |
org.apache.hive |
hive-llap-client |
2.3.7 |
org.apache.hive |
hive-llap-common |
2.3.7 |
org.apache.hive |
hive-metastore |
2.3.7 |
org.apache.hive |
hive-serde |
2.3.7 |
org.apache.hive |
hive-shims |
2.3.7 |
org.apache.hive |
hive-storage-api |
2.7.1 |
org.apache.hive |
hive-vector-code-gen |
2.3.7 |
org.apache.hive.shims |
hive-shims-0.23 |
2.3.7 |
org.apache.hive.shims |
hive-shims-common |
2.3.7 |
org.apache.hive.shims |
hive-shims-scheduler |
2.3.7 |
org.apache.htrace |
htrace-core |
3.1.0-incubating |
org.apache.httpcomponents |
httpclient |
4.5.6 |
org.apache.httpcomponents |
httpcore |
4.4.12 |
org.apache.ivy |
ivy |
2.4.0 |
org.apache.orc |
orc-core |
1.5.10 |
org.apache.orc |
orc-mapreduce |
1.5.10 |
org.apache.orc |
orc-shims |
1.5.10 |
org.apache.parquet |
parquet-column |
1.10.1-databricks6 |
org.apache.parquet |
parquet-common |
1.10.1-databricks6 |
org.apache.parquet |
parquet-encoding |
1.10.1-databricks6 |
org.apache.parquet |
parquet-format |
2.4.0 |
org.apache.parquet |
parquet-hadoop |
1.10.1-databricks6 |
org.apache.parquet |
parquet-jackson |
1.10.1-databricks6 |
org.apache.thrift |
libfb303 |
0.9.3 |
org.apache.thrift |
libthrift |
0.12.0 |
org.apache.velocity |
velocity |
1.5 |
org.apache.xbean |
xbean-asm7-shaded |
4.15 |
org.apache.yetus |
audience-annotations |
0.5.0 |
org.apache.zookeeper |
zookeeper |
3.4.14 |
org.codehaus.jackson |
jackson-core-asl |
1.9.13 |
org.codehaus.jackson |
jackson-jaxrs |
1.9.13 |
org.codehaus.jackson |
jackson-mapper-asl |
1.9.13 |
org.codehaus.jackson |
jackson-xc |
1.9.13 |
org.codehaus.janino |
commons-compiler |
3.0.16 |
org.codehaus.janino |
janino |
3.0.16 |
org.datanucleus |
datanucleus-api-jdo |
4.2.4 |
org.datanucleus |
datanucleus-core |
4.1.17 |
org.datanucleus |
datanucleus-rdbms |
4.1.19 |
org.datanucleus |
javax.jdo |
3.2.0-m3 |
org.eclipse.jetty |
jetty-client |
9.4.18.v20190429 |
org.eclipse.jetty |
jetty-continuation |
9.4.18.v20190429 |
org.eclipse.jetty |
jetty-http |
9.4.18.v20190429 |
org.eclipse.jetty |
jetty-io |
9.4.18.v20190429 |
org.eclipse.jetty |
jetty-jndi |
9.4.18.v20190429 |
org.eclipse.jetty |
jetty-plus |
9.4.18.v20190429 |
org.eclipse.jetty |
jetty-proxy |
9.4.18.v20190429 |
org.eclipse.jetty |
jetty-security |
9.4.18.v20190429 |
org.eclipse.jetty |
jetty-server |
9.4.18.v20190429 |
org.eclipse.jetty |
jetty-servlet |
9.4.18.v20190429 |
org.eclipse.jetty |
jetty-servlets |
9.4.18.v20190429 |
org.eclipse.jetty |
jetty-util |
9.4.18.v20190429 |
org.eclipse.jetty |
jetty-webapp |
9.4.18.v20190429 |
org.eclipse.jetty |
jetty-xml |
9.4.18.v20190429 |
org.fusesource.leveldbjni |
leveldbjni-all |
1.8 |
org.glassfish.hk2 |
hk2-api |
2.6.1 |
org.glassfish.hk2 |
hk2-locator |
2.6.1 |
org.glassfish.hk2 |
hk2-utils |
2.6.1 |
org.glassfish.hk2 |
osgi-resource-locator |
1.0.3 |
org.glassfish.hk2.external |
aopalliance-repackaged |
2.6.1 |
org.glassfish.hk2.external |
jakarta.inject |
2.6.1 |
org.glassfish.jersey.containers |
jersey-container-servlet |
2.30 |
org.glassfish.jersey.containers |
jersey-container-servlet-core |
2.30 |
org.glassfish.jersey.core |
jersey-client |
2.30 |
org.glassfish.jersey.core |
jersey-common |
2.30 |
org.glassfish.jersey.core |
jersey-server |
2.30 |
org.glassfish.jersey.inject |
jersey-hk2 |
2.30 |
org.glassfish.jersey.media |
jersey-media-jaxb |
2.30 |
org.hibernate.validator |
hibernate-validator |
6.1.0.Final |
org.javassist |
javassist |
3.25.0-GA |
org.jboss.logging |
jboss-logging |
3.3.2.Final |
org.jdbi |
jdbi |
2.63.1 |
org.joda |
joda-convert |
1.7 |
org.jodd |
jodd-core |
3.5.2 |
org.json4s |
json4s-ast_2.12 |
3.6.6 |
org.json4s |
json4s-core_2.12 |
3.6.6 |
org.json4s |
json4s-jackson_2.12 |
3.6.6 |
org.json4s |
json4s-scalap_2.12 |
3.6.6 |
org.lz4 |
lz4-java |
1.7.1 |
org.mariadb.jdbc |
mariadb-java-client |
2.1.2 |
org.objenesis |
objenesis |
2.5.1 |
org.postgresql |
postgresql |
42.1.4 |
org.roaringbitmap |
RoaringBitmap |
0.7.45 |
org.roaringbitmap |
shims |
0.7.45 |
org.rocksdb |
rocksdbjni |
6.2.2 |
org.rosuda.REngine |
REngine |
2.1.0 |
org.scala-lang |
scala-compiler_2.12 |
2.12.10 |
org.scala-lang |
scala-library_2.12 |
2.12.10 |
org.scala-lang |
scala-reflect_2.12 |
2.12.10 |
org.scala-lang.modules |
scala-collection-compat_2.12 |
2.1.1 |
org.scala-lang.modules |
scala-parser-combinators_2.12 |
1.1.2 |
org.scala-lang.modules |
scala-xml_2.12 |
1.2.0 |
org.scala-sbt |
test-interface |
1.0 |
org.scalacheck |
scalacheck_2.12 |
1.14.2 |
org.scalactic |
scalactic_2.12 |
3.0.8 |
org.scalanlp |
breeze-macros_2.12 |
1.0 |
org.scalanlp |
breeze_2.12 |
1.0 |
org.scalatest |
scalatest_2.12 |
3.0.8 |
org.slf4j |
jcl-over-slf4j |
1.7.30 |
org.slf4j |
jul-to-slf4j |
1.7.30 |
org.slf4j |
slf4j-api |
1.7.30 |
org.slf4j |
slf4j-log4j12 |
1.7.30 |
org.spark-project.spark |
unused |
1.0.0 |
org.springframework |
spring-core |
4.1.4.RELEASE |
org.springframework |
spring-test |
4.1.4.RELEASE |
org.threeten |
threeten-extra |
1.5.0 |
org.tukaani |
xz |
1.5 |
org.typelevel |
algebra_2.12 |
2.0.0-M2 |
org.typelevel |
cats-kernel_2.12 |
2.0.0-M4 |
org.typelevel |
machinist_2.12 |
0.6.8 |
org.typelevel |
macro-compat_2.12 |
1.1.1 |
org.typelevel |
spire-macros_2.12 |
0.17.0-M1 |
org.typelevel |
spire-platform_2.12 |
0.17.0-M1 |
org.typelevel |
spire-util_2.12 |
0.17.0-M1 |
org.typelevel |
spire_2.12 |
0.17.0-M1 |
org.xerial |
sqlite-jdbc |
3.8.11.2 |
org.xerial.snappy |
snappy-java |
1.1.7.5 |
org.yaml |
snakeyaml |
1.24 |
oro |
oro |
2.0.8 |
pl.edu.icm |
JLargeArrays |
1.5 |
software.amazon.ion |
ion-java |
1.0.2 |
stax |
stax-api |
1.0.1 |
xmlenc |
xmlenc |
0.52 |