Dataproc Serverless Spark runtime 2.2.x
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Spark runtime version 2.2 components

Component	2.2.51 2025/06/06	2.2.50 2025/05/30	2.2.49 2025/05/28	2.2.48 2025/05/22	2.2.47 2025/05/15
Apache Spark^{Note 1}	3.5.1	3.5.1	3.5.1	3.5.1	3.5.1
Cloud Storage Connector	3.0.3	3.0.3	3.0.3	3.0.3	3.0.3
BigQuery Connector	0.36.4	0.36.4	0.36.4	0.36.4	0.36.4
Java	17	17	17	17	17
Conda	24.1	24.1	24.1	24.1	24.1
Python	3.12	3.12	3.12	3.12	3.12
R	4.3	4.3	4.3	4.3	4.3
Scala	2.13	2.13	2.13	2.13	2.13

Notes:

1. The 2.2 runtime uses the UTF-8 default character encoding.

Spark runtime 2.2 libraries

learning libraries, such TensorFlow, PyTorch, and XGBoost, and offer a ready-to-use environment for machine learning and data science applications.

The following sections list the library versions that are available in Dataproc Serverless for Spark runtime version 2.2.

GPU-specific libraries

For Dataproc Serverless batch workloads that use GPU VMs, the following NVIDIA driver and libraries are available in the Dataproc Serverless container. You can use them to accomplish the following tasks:

Accelerate Spark batch workloads with the NVIDIA Spark Rapids library
Train machine learning workloads
Run distributed batch inference using Spark

Package Name	Version
Spark Rapids	24.04.0
NVIDIA Driver	550.127.05
CUDA	12.6.2
cublas	12.8.4.1
cusolver	11.7.3.90
cupti	12.8.90
cusparse	12.5.8.93
cuDNN	9.2
NCCL	2.22

XGBoost libraries

The following Maven package versions are available in Dataproc Serverless for Spark runtime version 2.2 to use XGBoost with Spark in Java or Scala.

Group ID	Package Name	Version
ml.dmlc	xgboost4j-gpu_2.13	2.1.1
ml.dmlc	xgboost4j-spark-gpu_2.13	2.1.1

Python libraries

The following Python library versions are included in Dataproc Serverless for Spark runtime version 2.2.

serverless-spark-2.2-debian-12 python libraries

Package Name	Version
accelerate	0.33
bigframes	1.7
cookiecutter	2.6
cython	3.0
dask	2024.5
deepspeed	0.14
evaluate	0.4
fastavro	1.9
fastparquet	2024.2
gcsfs	2024.5
git	2.45
google-auth-oauthlib	1.2
google-cloud-aiplatform	1.60
google-cloud-bigquery	3.23
google-cloud-bigquery-storage	2.25
google-cloud-bigtable	2.23
google-cloud-container	2.45
google-cloud-datacatalog	3.19
google-cloud-dataproc	5.9
google-cloud-datastore	2.19
google-cloud-dlp	3.22
google-cloud-language	2.13
google-cloud-logging	3.10
google-cloud-monitoring	2.21
google-cloud-pubsub	2.21
google-cloud-redis	2.15
google-cloud-secret-manager	2.20
google-cloud-spanner	3.46
google-cloud-speech	2.26
google-cloud-storage	2.16
google-cloud-texttospeech	2.16
google-cloud-translate	3.15
google-cloud-vision	3.7
httplib2	0.22
huggingface_hub	0.27
ipyparallel	8.8
ipython-sql	0.3
ipywidgets	8.1
jupyter_http_over_ws	0.0
jupyterlab	4.1
jupyterlab-git	0.50
keyrings.google-artifactregistry-auth	1.1
langchain	0.2
lightgbm	4.5
markdown	3.6
matplotlib	3.8
nbclassic	1.0
nbconvert	7.16
nbdime	4.0
nltk	3.8
nodejs	20.12
numba	0.59
numpy	1.26
oauth2client	4.1
onnx	1.16
openblas	0.3
opencv	4.9
orc	2.0
pandas	2.2
papermill	2.6
pyarrow	15.0
pydot	2.0
pyhive	0.7
pymongo	4.7
pynvml	11.5
pytables	3.9
pytorch-cpu	2.3
regex	2024.5
requests	2.31
rtree	1.2
scikit-image	0.22
scikit-learn	1.5
scipy	1.11
seaborn	0.12
sentence-transformers	3.0
shap	0.45
sqlalchemy	2.0
sympy	1.12
tokenizers	0.19
torcheval	0.0.7
torchvision	0.18
tornado	6.4
transformers	4.43
uritemplate	4.1
virtualenv	20.26
wordcloud	1.9
xgboost	2.0
ydata-profiling	4.8

R libraries

The following R library versions are included in Dataproc Serverless for Spark runtime version 2.2.

serverless-spark-2.2-debian-12 r libraries

Package Name	Version
askpass	1.2
assertthat	0.2
backports	1.5
bit	4.0
bit64	4.0
blob	1.2
boot	1.3_30
brew	1.0_10
broom	1.0
callr	3.7
caret	6.0_94
cellranger	1.1
chron	2.3_61
class	7.3_22
cli	3.6
clipr	0.8
cluster	2.1
codetools	0.2_20
colorspace	2.1_0
commonmark	1.9
cpp11	0.4
crayon	1.5
curl	5.1
data.table	1.15
dbi	1.2
dbplyr	2.5
desc	1.4
devtools	2.4
digest	0.6
dplyr	1.1
ellipsis	0.3
evaluate	0.23
fansi	1.0
fastmap	1.2
forcats	1.0
foreach	1.5
foreign	0.8_86
fs	1.6
future	1.33
generics	0.1
ggplot2	3.5
gh	1.4
glmnet	4.1_8
globals	0.16
glue	1.7
gower	1.0
gtable	0.3
haven	2.5
highr	0.10
hms	1.1
htmltools	0.5.8
htmlwidgets	1.6
httpuv	1.6
httr	1.4
hwriter	1.3.2
ini	0.3
ipred	0.9_14
isoband	0.2
iterators	1.0
jsonlite	1.8
kernsmooth	2.23_24
knitr	1.46
labeling	0.4
later	1.3
lattice	0.22_6
lava	1.7
lifecycle	1.0
listenv	0.9
lubridate	1.9
magrittr	2.0
markdown	1.12
mass	7.3_60
matrix	1.6_5
memoise	2.0
mgcv	1.9_1
mime	0.12
modelmetrics	1.2.2
modelr	0.1
munsell	0.5
nlme	3.1_164
nnet	7.3_19
numderiv	2016.8_1
openssl	2.2
pillar	1.9
pkgbuild	1.4
pkgconfig	2.0
pkgload	1.3
plogr	0.2
plyr	1.8
praise	1.0
prettyunits	1.2
processx	3.8
prodlim	2023.08
progress	1.2
promises	1.3
proto	1.0
ps	1.7
purrr	1.0
r6	2.5
randomforest	4.7_1
rappdirs	0.3
rcmdcheck	1.4
rcolorbrewer	1.1_3
rcpp	1.0
rcurl	1.98_1
readr	2.1
readxl	1.4
recipes	1.0
rematch	2.0
remotes	2.5
reprex	2.1
reshape2	1.4
rlang	1.1
rmarkdown	2.27
rodbc	1.3_23
roxygen2	7.3
rpart	4.1
rprojroot	2.0
rserve	1.8_7
rsqlite	2.3
rstudioapi	0.16
rvest	1.0
scales	1.3
selectr	0.4_2
sessioninfo	1.2
shape	1.4.6
shiny	1.8.1
sourcetools	0.1
spatial	7.3_17
squarem	2021.1
stringi	1.8
stringr	1.5
survival	3.6_4
sys	3.4
teachingdemos	2.12
testthat	3.2.1
tibble	3.2
tidyr	1.3
tidyselect	1.2
tidyverse	2.0
timedate	4032.109
tinytex	0.51
usethis	2.2
utf8	1.2
uuid	1.2_0
vctrs	0.6
whisker	0.4
withr	3.0
xfun	0.44
xml2	1.3
xopen	1.0
xtable	1.8_4
yaml	2.3
zip	2.3