Databricks Runtime 5.0 (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 2018.
The following release notes provide information about Databricks Runtime 5.0, powered by Apache Spark.
New Features
Delta Lake
Subqueries are now supported in the
WHERE
clause for the support forDELETE
andUPDATE
commands.New scalable implementation for
MERGE
commands.No limit on the number of inserts and updates.
Can be used for SCD Type 1 and Type 2 queries.
Can be to perform upserts from streaming queries in “update” mode (for example, write streaming aggregation output to a Delta table). See example Writing streaming aggregates into Databricks Delta Using MERGE and foreachBatch notebook.
Structured Streaming
Azure Blob storage file notification based streaming source. This can significantly reduce listing costs when running a Structured Streaming query on files in Azure Blob storage. Instead of using listing to find new files for processing, this streaming source can directly read file event notifications to find new files. See Azure Blob storage file source with Azure Queue Storage (legacy).
Improvements
Delta Lake
OPTIMIZE
performance and stability.The
OPTIMIZE
command commits batches as soon as possible, instead of at the end.Reduced the default number of threads
OPTIMIZE
runs in parallel. This is a strict performance increase for large tables.Sped up
OPTIMIZE
writes by avoiding an unnecessarily sorting data when writing to a partitioned table.Sped up
OPTIMIZE ZORDER BY
by making it incremental. This means the command now avoids rewriting data files that were already Z-ordered by the same column(s). See Data skipping for Delta Lake.
Snapshot isolation when querying Delta tables. Any query with multiple references to a Delta table (for example, self-join) reads from the same table snapshot even if there are concurrent updates to the table.
Improved query latency when reading from small (< 2000 files) Delta tables by caching metadata on the driver.
Improved MLlib logistic regression performance.
Improved MLlib tree algorithm performance.
Upgraded several Java and Scala libraries. See Installed Java and Scala libraries (Scala 2.11 cluster version).
Upgraded some installed Python libraries:
pip: 10.0.1 to 18.0
setuptools: 39.2.0 to 40.4.1
tornado: 5.0.2 to 5.1.1
Upgraded several installed R libraries. See Installed R Libraries.
Bug Fixes
Delta Lake
Configurations set in SQL conf now correctly apply to Delta Lake operations that were first loaded in a different notebook.
Fixed a bug in
DELETE
command that would incorrectly delete the rows where the condition evaluates to null.Streams that take more than two days to process the initial batch (that is, data that was in the table when the stream started) no longer fail with
FileNotFoundException
when attempting to recover from a checkpoint.Avoids a race condition that lead to
NoClassDefError
when loading a new table.Fix for
VACUUM
where the operation may fail with an AssertionError stating: “Shouldn’t have any absolute paths for deletion here.”Fixed
SHOW CREATE TABLE
command to not include Hive-generated storage properties.
Executors that throw many
NoClassDefFoundError
errors for internal Spark classes are now automatically restarted to fix the issue.
Known Issues
Column names specified in the
replaceWhere
option foroverwrite
mode in Delta Lake are case sensitive even if case insensitivity is enabled (which is the default).The Snowflake connector for Databricks Runtime 5.0 is in Preview.
If you cancel a running streaming cell in a notebook attached to a Databricks Runtime 5.0 cluster, you cannot run any subsequent commands in the notebook unless you clear notebook state or restart the cluster. For a workaround, see the Knowledge Base.
Apache Spark
Databricks Runtime 5.0 includes Apache Spark 2.4.0.
Core and Spark SQL
Note
This article contains references to the term slave, a term that Databricks does not use. When the term is removed from the software, we’ll remove it from this article.
Major features
Barrier Execution Mode: [SPARK-24374] Support Barrier Execution Mode in the scheduler, to better integrate with deep learning frameworks.
Scala 2.12 Support: [SPARK-14220] Add experimental Scala 2.12 support. Now you can build Spark with Scala 2.12 and write Spark applications in Scala 2.12.
Higher-order functions: [SPARK-23899] Add many new built-in functions, including high-order functions, to make working with complex data types easier. See Apache Spark built-in functions.
Built-in Avro data source: [SPARK-24768] Inline Spark-Avro package with logical type support, better performance and usability.
API
[SPARK-24035] SQL syntax for Pivot
[SPARK-24940] Coalesce and Repartition Hint for SQL Queries
[SPARK-19602] Support column resolution of fully qualified column name
[SPARK-21274] Implement EXCEPT ALL and INTERSECT ALL
Performance and stability
[SPARK-16406] Reference resolution for large number of columns should be faster
[SPARK-23486] Cache the function name from the external catalog for lookupFunctions
[SPARK-23803] Support Bucket Pruning
[SPARK-24802] Optimization Rule Exclusion
[SPARK-4502] Nested schema pruning for Parquet tables
[SPARK-24296] Support replicating blocks larger than 2 GB
[SPARK-24307] Support sending messages over 2GB from memory
[SPARK-23243] Shuffle+Repartition on an RDD could lead to incorrect answers
[SPARK-25181] Limited the size of BlockManager master and slave thread pools, lowering memory overhead when networking is slow
Connectors
[SPARK-23972] Update Parquet from 1.8.2 to 1.10.0
[SPARK-25419] Parquet predicate pushdown improvement
[SPARK-23456] Native ORC reader is on by default
[SPARK-22279] Use native ORC reader to read Hive serde tables by default
[SPARK-21783] Turn on ORC filter push-down by default
[SPARK-24959] Speed up count() for JSON and CSV
[SPARK-24244] Parsing only required columns to the CSV parser
[SPARK-23786] CSV schema validation - column names are not checked
[SPARK-24423] Option query for specifying the query to read from JDBC
[SPARK-22814] Support Date/Timestamp in JDBC partition column
[SPARK-24771] Update Avro from 1.7.7 to 1.8
PySpark
[SPARK-24215] Implement eager evaluation for DataFrame APIs
[SPARK-22274] - [SPARK-22239] User-defined aggregation functions with pandas udf
[SPARK-24396] Add Structured Streaming ForeachWriter for Python
[SPARK-23874] Upgrade Apache Arrow to 0.10.0
[SPARK-25004] Add spark.executor.pyspark.memory limit
[SPARK-23030] Use Arrow stream format for creating from and collecting pandas DataFrames
[SPARK-24624] Support mixture of Python UDF and Scalar pandas UDF
Other notable changes
[SPARK-24596] Non-cascading Cache Invalidation
[SPARK-23880] Do not trigger any job for caching data
[SPARK-23510][SPARK-24312] Support Hive 2.2 and Hive 2.3 metastore
[SPARK-23711] Add fallback generator for UnsafeProjection
[SPARK-24626] Parallelize location size calculation in Analyze Table command
Structured Streaming
Major features
[SPARK-24565] Exposed the output rows of each microbatch as a DataFrame using foreachBatch (Python, Scala, and Java)
[SPARK-24396] Added Python API for foreach and ForeachWriter
[SPARK-25005] Support “kafka.isolation.level” to read only committed records from Kafka topics that are written using a transactional producer.
Other notable changes
[SPARK-24662] Support the LIMIT operator for streams in Append or Complete mode
[SPARK-24763] Remove redundant key data from value in streaming aggregation
[SPARK-24156] Faster generation of output results and/or state cleanup with stateful operations (mapGroupsWithState, stream-stream join, streaming aggregation, streaming dropDuplicates) when there is no data in the input stream.
[SPARK-24730] Support for choosing either the min or max watermark when there are multiple input streams in a query
[SPARK-25399] Fixed a bug where reusing execution threads from continuous processing for microbatch streaming can result in a correctness issue
[SPARK-18057] Upgraded Kafka client version from 0.10.0.1 to 2.0.0
MLlib
Major features
[SPARK-22666] Spark datasource for image format
Other notable changes
[SPARK-22119][SPARK-23412][SPARK-23217] Add cosine distance measure to KMeans/BisectingKMeans/Clustering evaluator
[SPARK-10697] Lift Calculation in Association Rule mining
[SPARK-14682][SPARK-24231] Provide evaluateEachIteration method or equivalent for spark.ml GBTs
[SPARK-7132][SPARK-24333] Add fit with validation set to spark.ml GBT
[SPARK-15784][SPARK-19826] Add Power Iteration Clustering to spark.ml
[SPARK-15064] Locale support in StopWordsRemover
[SPARK-21741] Python API for DataFrame-based multivariate summarizer
[SPARK-21898][SPARK-23751] Feature parity for KolmogorovSmirnovTest in MLlib
[SPARK-10884] Support prediction on single instance for regression and classification related models
[SPARK-23783] Add new generic export trait for ML pipelines
[SPARK-11239] PMML export for ML linear regression
SparkR
[SPARK-25393] Adding new function from_csv()
[SPARK-21291] add R partitionBy API in DataFrame
[SPARK-25007] Add array_intersect/array_except/array_union/shuffle to SparkR
[SPARK-25234] avoid integer overflow in parallelize
[SPARK-25117] Add EXCEPT ALL and INTERSECT ALL support in R
[SPARK-24537] Add array_remove / array_zip / map_from_arrays / array_distinct
[SPARK-24187] Add array_join function to SparkR
[SPARK-24331] Adding arrays_overlap, array_repeat, map_entries to SparkR
[SPARK-24198] Adding slice function to SparkR
[SPARK-24197] Adding array_sort function to SparkR
[SPARK-24185] add flatten function to SparkR
[SPARK-24069] Add array_min / array_max functions
[SPARK-24054] Add array_position function / element_at functions
[SPARK-23770] Add repartitionByRange API in SparkR
GraphX
[SPARK-25268] run Parallel Personalized PageRank throws serialization Exception
Deprecations
[SPARK-23451] Deprecate KMeans computeCost
[SPARK-25345] Deprecate readImages APIs from ImageSchema
Changes of behavior
[SPARK-23549] Cast to timestamp when comparing timestamp with date
[SPARK-24324] pandas Grouped Map UDF should assign result columns by name
[SPARK-25088] Rest Server default & doc updates
[SPARK-23425] load data for hdfs file path with wildcard usage is not working properly
[SPARK-23173] from_json can produce nulls for fields which are marked as non-nullable
[SPARK-24966] Implement precedence rules for set operations
[SPARK-25708] HAVING without GROUP BY should be global aggregate
[SPARK-24341] Correctly handle multi-value IN subquery
[SPARK-19724] Create a managed table with an existed default location should throw an exception
Known Issues
[SPARK-25793] Loading model bug in BisectingKMeans
[SPARK-25271] CTAS with Hive parquet tables should leverage native parquet source
[SPARK-24935] Problem with Executing Hive UDAF’s from Spark 2.2 Onwards
System Environment
Operating System: Ubuntu 16.04.5 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
Note
Although Scala 2.12 is supported in Apache Spark 2.4, it is not supported in Databricks Runtime 5.0.
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 |
18.0 |
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 |
40.4.1 |
simplejson |
3.8.2 |
simples3 |
1.0 |
singledispatch |
3.4.0.3 |
six |
1.10.0 |
statsmodels |
0.6.1 |
tornado |
5.1.1 |
traitlets |
4.3.0 |
urllib3 |
1.19.1 |
virtualenv |
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 |
base64enc |
0.1-3 |
BH |
1.66.0-1 |
bindr |
0.1.1 |
bindrcpp |
0.2.2 |
bit |
1.1-14 |
bit64 |
0.9-7 |
bitops |
1.0-6 |
blob |
1.1.1 |
boot |
1.3-20 |
brew |
1.0-6 |
broom |
0.5.0 |
callr |
3.0.0 |
car |
3.0-2 |
carData |
3.0-1 |
caret |
6.0-80 |
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 |
1.5 |
compiler |
3.4.4 |
crayon |
1.3.4 |
curl |
3.2 |
CVST |
0.2-2 |
data.table |
1.11.4 |
datasets |
3.4.4 |
DBI |
1.0.0 |
ddalpha |
1.3.4 |
DEoptimR |
1.0-8 |
desc |
1.2.0 |
devtools |
1.13.6 |
digest |
0.6.16 |
dimRed |
0.1.0 |
doMC |
1.3.5 |
dplyr |
0.7.6 |
DRR |
0.0.3 |
fansi |
0.3.0 |
forcats |
0.3.0 |
foreach |
1.4.4 |
foreign |
0.8-70 |
gbm |
2.1.3 |
geometry |
0.3-6 |
ggplot2 |
3.0.0 |
git2r |
0.23.0 |
glmnet |
2.0-16 |
glue |
1.3.0 |
gower |
0.1.2 |
graphics |
3.4.4 |
grDevices |
3.4.4 |
grid |
3.4.4 |
gsubfn |
0.7 |
gtable |
0.2.0 |
h2o |
3.20.0.2 |
haven |
1.1.2 |
hms |
0.4.2 |
httr |
1.3.1 |
hwriter |
1.3.2 |
hwriterPlus |
1.0-3 |
ipred |
0.9-7 |
iterators |
1.0.10 |
jsonlite |
1.5 |
kernlab |
0.9-27 |
KernSmooth |
2.23-15 |
labeling |
0.3 |
lattice |
0.20-35 |
lava |
1.6.3 |
lazyeval |
0.2.1 |
littler |
0.3.4 |
lme4 |
1.1-18-1 |
lubridate |
1.7.4 |
magic |
1.5-8 |
magrittr |
1.5 |
mapproj |
1.2.6 |
maps |
3.3.0 |
maptools |
0.9-3 |
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 |
ModelMetrics |
1.2.0 |
munsell |
0.5.0 |
mvtnorm |
1.0-8 |
nlme |
3.1-137 |
nloptr |
1.0.4 |
nnet |
7.3-12 |
numDeriv |
2016.8-1 |
openssl |
1.0.2 |
openxlsx |
4.1.0 |
parallel |
3.4.4 |
pbkrtest |
0.4-7 |
pillar |
1.3.0 |
pkgbuild |
1.0.0 |
pkgconfig |
2.0.2 |
pkgKitten |
0.1.4 |
pkgload |
1.0.0 |
plogr |
0.2.0 |
pls |
2.7-0 |
plyr |
1.8.4 |
praise |
1.0.0 |
prettyunits |
1.0.2 |
pROC |
1.12.1 |
processx |
3.2.0 |
prodlim |
2018.04.18 |
proto |
1.0.0 |
ps |
1.1.0 |
purrr |
0.2.5 |
quantreg |
5.36 |
R.methodsS3 |
1.7.1 |
R.oo |
1.22.0 |
R.utils |
2.7.0 |
R6 |
2.2.2 |
randomForest |
4.6-14 |
RColorBrewer |
1.1-2 |
Rcpp |
0.12.18 |
RcppEigen |
0.3.3.4.0 |
RcppRoll |
0.3.0 |
RCurl |
1.95-4.11 |
readr |
1.1.1 |
readxl |
1.1.0 |
recipes |
0.1.3 |
rematch |
1.0.1 |
reshape2 |
1.4.3 |
rio |
0.5.10 |
rlang |
0.2.2 |
robustbase |
0.93-2 |
RODBC |
1.3-15 |
roxygen2 |
6.1.0 |
rpart |
4.1-13 |
rprojroot |
1.3-2 |
Rserve |
1.7-3 |
RSQLite |
2.1.1 |
rstudioapi |
0.7 |
scales |
1.0.0 |
sfsmisc |
1.1-2 |
sp |
1.3-1 |
SparkR |
2.4.0 |
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 |
1.2.4 |
stringr |
1.3.1 |
survival |
2.42-6 |
tcltk |
3.4.4 |
TeachingDemos |
2.10 |
testthat |
2.0.0 |
tibble |
1.4.2 |
tidyr |
0.8.1 |
tidyselect |
0.2.4 |
timeDate |
3043.102 |
tools |
3.4.4 |
utf8 |
1.1.4 |
utils |
3.4.4 |
viridisLite |
0.3.0 |
whisker |
0.3-2 |
withr |
2.1.2 |
xml2 |
1.2.0 |
zip |
1.0.0 |
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 |
1.8.10 |
com.amazonaws |
aws-java-sdk-autoscaling |
1.11.313 |
com.amazonaws |
aws-java-sdk-cloudformation |
1.11.313 |
com.amazonaws |
aws-java-sdk-cloudfront |
1.11.313 |
com.amazonaws |
aws-java-sdk-cloudhsm |
1.11.313 |
com.amazonaws |
aws-java-sdk-cloudsearch |
1.11.313 |
com.amazonaws |
aws-java-sdk-cloudtrail |
1.11.313 |
com.amazonaws |
aws-java-sdk-cloudwatch |
1.11.313 |
com.amazonaws |
aws-java-sdk-cloudwatchmetrics |
1.11.313 |
com.amazonaws |
aws-java-sdk-codedeploy |
1.11.313 |
com.amazonaws |
aws-java-sdk-cognitoidentity |
1.11.313 |
com.amazonaws |
aws-java-sdk-cognitosync |
1.11.313 |
com.amazonaws |
aws-java-sdk-config |
1.11.313 |
com.amazonaws |
aws-java-sdk-core |
1.11.313 |
com.amazonaws |
aws-java-sdk-datapipeline |
1.11.313 |
com.amazonaws |
aws-java-sdk-directconnect |
1.11.313 |
com.amazonaws |
aws-java-sdk-directory |
1.11.313 |
com.amazonaws |
aws-java-sdk-dynamodb |
1.11.313 |
com.amazonaws |
aws-java-sdk-ec2 |
1.11.313 |
com.amazonaws |
aws-java-sdk-ecs |
1.11.313 |
com.amazonaws |
aws-java-sdk-efs |
1.11.313 |
com.amazonaws |
aws-java-sdk-elasticache |
1.11.313 |
com.amazonaws |
aws-java-sdk-elasticbeanstalk |
1.11.313 |
com.amazonaws |
aws-java-sdk-elasticloadbalancing |
1.11.313 |
com.amazonaws |
aws-java-sdk-elastictranscoder |
1.11.313 |
com.amazonaws |
aws-java-sdk-emr |
1.11.313 |
com.amazonaws |
aws-java-sdk-glacier |
1.11.313 |
com.amazonaws |
aws-java-sdk-iam |
1.11.313 |
com.amazonaws |
aws-java-sdk-importexport |
1.11.313 |
com.amazonaws |
aws-java-sdk-kinesis |
1.11.313 |
com.amazonaws |
aws-java-sdk-kms |
1.11.313 |
com.amazonaws |
aws-java-sdk-lambda |
1.11.313 |
com.amazonaws |
aws-java-sdk-logs |
1.11.313 |
com.amazonaws |
aws-java-sdk-machinelearning |
1.11.313 |
com.amazonaws |
aws-java-sdk-opsworks |
1.11.313 |
com.amazonaws |
aws-java-sdk-rds |
1.11.313 |
com.amazonaws |
aws-java-sdk-redshift |
1.11.313 |
com.amazonaws |
aws-java-sdk-route53 |
1.11.313 |
com.amazonaws |
aws-java-sdk-s3 |
1.11.313 |
com.amazonaws |
aws-java-sdk-ses |
1.11.313 |
com.amazonaws |
aws-java-sdk-simpledb |
1.11.313 |
com.amazonaws |
aws-java-sdk-simpleworkflow |
1.11.313 |
com.amazonaws |
aws-java-sdk-sns |
1.11.313 |
com.amazonaws |
aws-java-sdk-sqs |
1.11.313 |
com.amazonaws |
aws-java-sdk-ssm |
1.11.313 |
com.amazonaws |
aws-java-sdk-storagegateway |
1.11.313 |
com.amazonaws |
aws-java-sdk-sts |
1.11.313 |
com.amazonaws |
aws-java-sdk-support |
1.11.313 |
com.amazonaws |
aws-java-sdk-swf-libraries |
1.11.22 |
com.amazonaws |
aws-java-sdk-workspaces |
1.11.313 |
com.amazonaws |
jmespath-java |
1.11.313 |
com.carrotsearch |
hppc |
0.7.2 |
com.chuusai |
shapeless_2.11 |
2.3.2 |
com.clearspring.analytics |
stream |
2.7.0 |
com.databricks |
Rserve |
1.8-3 |
com.databricks |
dbml-local_2.11 |
0.5.0-db7-spark2.4 |
com.databricks |
dbml-local_2.11-tests |
0.5.0-db7-spark2.4 |
com.databricks |
jets3t |
0.7.1-0 |
com.databricks.scalapb |
compilerplugin_2.11 |
0.4.15-9 |
com.databricks.scalapb |
scalapb-runtime_2.11 |
0.4.15-9 |
com.esotericsoftware |
kryo-shaded |
4.0.2 |
com.esotericsoftware |
minlog |
1.3.0 |
com.fasterxml |
classmate |
1.0.0 |
com.fasterxml.jackson.core |
jackson-annotations |
2.6.7 |
com.fasterxml.jackson.core |
jackson-core |
2.6.7 |
com.fasterxml.jackson.core |
jackson-databind |
2.6.7.1 |
com.fasterxml.jackson.dataformat |
jackson-dataformat-cbor |
2.6.7 |
com.fasterxml.jackson.datatype |
jackson-datatype-joda |
2.6.7 |
com.fasterxml.jackson.module |
jackson-module-paranamer |
2.6.7 |
com.fasterxml.jackson.module |
jackson-module-scala_2.11 |
2.6.7.1 |
com.github.fommil |
jniloader |
1.1 |
com.github.fommil.netlib |
core |
1.1.2 |
com.github.fommil.netlib |
native_ref-java |
1.1 |
com.github.fommil.netlib |
native_ref-java-natives |
1.1 |
com.github.fommil.netlib |
native_system-java |
1.1 |
com.github.fommil.netlib |
native_system-java-natives |
1.1 |
com.github.fommil.netlib |
netlib-native_ref-linux-x86_64-natives |
1.1 |
com.github.fommil.netlib |
netlib-native_system-linux-x86_64-natives |
1.1 |
com.github.luben |
zstd-jni |
1.3.2-2 |
com.github.rwl |
jtransforms |
2.4.0 |
com.google.code.findbugs |
jsr305 |
2.0.1 |
com.google.code.gson |
gson |
2.2.4 |
com.google.guava |
guava |
15.0 |
com.google.protobuf |
protobuf-java |
2.6.1 |
com.googlecode.javaewah |
JavaEWAH |
0.3.2 |
com.h2database |
h2 |
1.3.174 |
com.jcraft |
jsch |
0.1.50 |
com.jolbox |
bonecp |
0.8.0.RELEASE |
com.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 |
0.9.3 |
com.twitter |
chill_2.11 |
0.9.3 |
com.twitter |
parquet-hadoop-bundle |
1.6.0 |
com.twitter |
util-app_2.11 |
6.23.0 |
com.twitter |
util-core_2.11 |
6.23.0 |
com.twitter |
util-jvm_2.11 |
6.23.0 |
com.typesafe |
config |
1.2.1 |
com.typesafe.scala-logging |
scala-logging-api_2.11 |
2.1.2 |
com.typesafe.scala-logging |
scala-logging-slf4j_2.11 |
2.1.2 |
com.univocity |
univocity-parsers |
2.7.3 |
com.vlkan |
flatbuffers |
1.2.0-3f79e055 |
com.zaxxer |
HikariCP |
3.1.0 |
commons-beanutils |
commons-beanutils |
1.7.0 |
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 |
3.1 |
commons-pool |
commons-pool |
1.5.4 |
info.ganglia.gmetric4j |
gmetric4j |
1.0.7 |
io.airlift |
aircompressor |
0.10 |
io.dropwizard.metrics |
metrics-core |
3.1.5 |
io.dropwizard.metrics |
metrics-ganglia |
3.1.5 |
io.dropwizard.metrics |
metrics-graphite |
3.1.5 |
io.dropwizard.metrics |
metrics-healthchecks |
3.1.5 |
io.dropwizard.metrics |
metrics-jetty9 |
3.1.5 |
io.dropwizard.metrics |
metrics-json |
3.1.5 |
io.dropwizard.metrics |
metrics-jvm |
3.1.5 |
io.dropwizard.metrics |
metrics-log4j |
3.1.5 |
io.dropwizard.metrics |
metrics-servlets |
3.1.5 |
io.netty |
netty |
3.9.9.Final |
io.netty |
netty-all |
4.1.17.Final |
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.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 |
0.10.0 |
org.apache.arrow |
arrow-memory |
0.10.0 |
org.apache.arrow |
arrow-vector |
0.10.0 |
org.apache.avro |
avro |
1.8.2 |
org.apache.avro |
avro-ipc |
1.8.2 |
org.apache.avro |
avro-mapred-hadoop2 |
1.8.2 |
org.apache.calcite |
calcite-avatica |
1.2.0-incubating |
org.apache.calcite |
calcite-core |
1.2.0-incubating |
org.apache.calcite |
calcite-linq4j |
1.2.0-incubating |
org.apache.commons |
commons-compress |
1.8.1 |
org.apache.commons |
commons-crypto |
1.0.0 |
org.apache.commons |
commons-lang3 |
3.5 |
org.apache.commons |
commons-math3 |
3.4.1 |
org.apache.curator |
curator-client |
2.7.1 |
org.apache.curator |
curator-framework |
2.7.1 |
org.apache.curator |
curator-recipes |
2.7.1 |
org.apache.derby |
derby |
10.12.1.1 |
org.apache.directory.api |
api-asn1-api |
1.0.0-M20 |
org.apache.directory.api |
api-util |
1.0.0-M20 |
org.apache.directory.server |
apacheds-i18n |
2.0.0-M15 |
org.apache.directory.server |
apacheds-kerberos-codec |
2.0.0-M15 |
org.apache.hadoop |
hadoop-annotations |
2.7.3 |
org.apache.hadoop |
hadoop-auth |
2.7.3 |
org.apache.hadoop |
hadoop-client |
2.7.3 |
org.apache.hadoop |
hadoop-common |
2.7.3 |
org.apache.hadoop |
hadoop-hdfs |
2.7.3 |
org.apache.hadoop |
hadoop-mapreduce-client-app |
2.7.3 |
org.apache.hadoop |
hadoop-mapreduce-client-common |
2.7.3 |
org.apache.hadoop |
hadoop-mapreduce-client-core |
2.7.3 |
org.apache.hadoop |
hadoop-mapreduce-client-jobclient |
2.7.3 |
org.apache.hadoop |
hadoop-mapreduce-client-shuffle |
2.7.3 |
org.apache.hadoop |
hadoop-yarn-api |
2.7.3 |
org.apache.hadoop |
hadoop-yarn-client |
2.7.3 |
org.apache.hadoop |
hadoop-yarn-common |
2.7.3 |
org.apache.hadoop |
hadoop-yarn-server-common |
2.7.3 |
org.apache.htrace |
htrace-core |
3.1.0-incubating |
org.apache.httpcomponents |
httpclient |
4.5.4 |
org.apache.httpcomponents |
httpcore |
4.4.8 |
org.apache.ivy |
ivy |
2.4.0 |
org.apache.orc |
orc-core-nohive |
1.5.2 |
org.apache.orc |
orc-mapreduce-nohive |
1.5.2 |
org.apache.orc |
orc-shims |
1.5.2 |
org.apache.parquet |
parquet-column |
1.10.1-databricks2 |
org.apache.parquet |
parquet-common |
1.10.1-databricks2 |
org.apache.parquet |
parquet-encoding |
1.10.1-databricks2 |
org.apache.parquet |
parquet-format |
2.4.0 |
org.apache.parquet |
parquet-hadoop |
1.10.1-databricks2 |
org.apache.parquet |
parquet-jackson |
1.10.1-databricks2 |
org.apache.thrift |
libfb303 |
0.9.3 |
org.apache.thrift |
libthrift |
0.9.3 |
org.apache.xbean |
xbean-asm6-shaded |
4.8 |
org.apache.zookeeper |
zookeeper |
3.4.6 |
org.codehaus.jackson |
jackson-core-asl |
1.9.13 |
org.codehaus.jackson |
jackson-jaxrs |
1.9.13 |
org.codehaus.jackson |
jackson-mapper-asl |
1.9.13 |
org.codehaus.jackson |
jackson-xc |
1.9.13 |
org.codehaus.janino |
commons-compiler |
3.0.9 |
org.codehaus.janino |
janino |
3.0.9 |
org.datanucleus |
datanucleus-api-jdo |
3.2.6 |
org.datanucleus |
datanucleus-core |
3.2.10 |
org.datanucleus |
datanucleus-rdbms |
3.2.9 |
org.eclipse.jetty |
jetty-client |
9.3.20.v20170531 |
org.eclipse.jetty |
jetty-continuation |
9.3.20.v20170531 |
org.eclipse.jetty |
jetty-http |
9.3.20.v20170531 |
org.eclipse.jetty |
jetty-io |
9.3.20.v20170531 |
org.eclipse.jetty |
jetty-jndi |
9.3.20.v20170531 |
org.eclipse.jetty |
jetty-plus |
9.3.20.v20170531 |
org.eclipse.jetty |
jetty-proxy |
9.3.20.v20170531 |
org.eclipse.jetty |
jetty-security |
9.3.20.v20170531 |
org.eclipse.jetty |
jetty-server |
9.3.20.v20170531 |
org.eclipse.jetty |
jetty-servlet |
9.3.20.v20170531 |
org.eclipse.jetty |
jetty-servlets |
9.3.20.v20170531 |
org.eclipse.jetty |
jetty-util |
9.3.20.v20170531 |
org.eclipse.jetty |
jetty-webapp |
9.3.20.v20170531 |
org.eclipse.jetty |
jetty-xml |
9.3.20.v20170531 |
org.fusesource.leveldbjni |
leveldbjni-all |
1.8 |
org.glassfish.hk2 |
hk2-api |
2.4.0-b34 |
org.glassfish.hk2 |
hk2-locator |
2.4.0-b34 |
org.glassfish.hk2 |
hk2-utils |
2.4.0-b34 |
org.glassfish.hk2 |
osgi-resource-locator |
1.0.1 |
org.glassfish.hk2.external |
aopalliance-repackaged |
2.4.0-b34 |
org.glassfish.hk2.external |
javax.inject |
2.4.0-b34 |
org.glassfish.jersey.bundles.repackaged |
jersey-guava |
2.22.2 |
org.glassfish.jersey.containers |
jersey-container-servlet |
2.22.2 |
org.glassfish.jersey.containers |
jersey-container-servlet-core |
2.22.2 |
org.glassfish.jersey.core |
jersey-client |
2.22.2 |
org.glassfish.jersey.core |
jersey-common |
2.22.2 |
org.glassfish.jersey.core |
jersey-server |
2.22.2 |
org.glassfish.jersey.media |
jersey-media-jaxb |
2.22.2 |
org.hibernate |
hibernate-validator |
5.1.1.Final |
org.iq80.snappy |
snappy |
0.2 |
org.javassist |
javassist |
3.18.1-GA |
org.jboss.logging |
jboss-logging |
3.1.3.GA |
org.jdbi |
jdbi |
2.63.1 |
org.joda |
joda-convert |
1.7 |
org.jodd |
jodd-core |
3.5.2 |
org.json4s |
json4s-ast_2.11 |
3.5.3 |
org.json4s |
json4s-core_2.11 |
3.5.3 |
org.json4s |
json4s-jackson_2.11 |
3.5.3 |
org.json4s |
json4s-scalap_2.11 |
3.5.3 |
org.lz4 |
lz4-java |
1.4.0 |
org.mariadb.jdbc |
mariadb-java-client |
2.1.2 |
org.mockito |
mockito-all |
1.9.5 |
org.objenesis |
objenesis |
2.5.1 |
org.postgresql |
postgresql |
42.1.4 |
org.roaringbitmap |
RoaringBitmap |
0.5.11 |
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.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.scalactic |
scalactic_2.11 |
3.0.3 |
org.scalanlp |
breeze-macros_2.11 |
0.13.2 |
org.scalanlp |
breeze_2.11 |
0.13.2 |
org.scalatest |
scalatest_2.11 |
3.0.3 |
org.slf4j |
jcl-over-slf4j |
1.7.16 |
org.slf4j |
jul-to-slf4j |
1.7.16 |
org.slf4j |
slf4j-api |
1.7.16 |
org.slf4j |
slf4j-log4j12 |
1.7.16 |
org.spark-project.hive |
hive-beeline |
1.2.1.spark2 |
org.spark-project.hive |
hive-cli |
1.2.1.spark2 |
org.spark-project.hive |
hive-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 |
1.5 |
org.typelevel |
machinist_2.11 |
0.6.1 |
org.typelevel |
macro-compat_2.11 |
1.1.1 |
org.xerial |
sqlite-jdbc |
3.8.11.2 |
org.xerial.snappy |
snappy-java |
1.1.7.1 |
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 |