Komponen runtime Spark versi 2.3
Catatan:
- Runtime
2.3
menggunakan encoding karakter defaultUTF-8
.
Library runtime Spark 2.3
learning, seperti TensorFlow, PyTorch, dan XGBoost, serta menawarkan lingkungan siap pakai untuk aplikasi machine learning dan data science.
Bagian berikut mencantumkan versi library yang tersedia di runtime Dataproc Serverless for Spark versi 2.3
.
Library khusus GPU
Untuk workload batch Dataproc Serverless yang menggunakan VM GPU, driver dan library NVIDIA berikut tersedia di penampung Dataproc Serverless. Anda dapat menggunakannya untuk menyelesaikan tugas berikut:
- Percepat workload batch Spark dengan library NVIDIA Spark Rapids
- Melatih workload machine learning
- Menjalankan inferensi batch terdistribusi menggunakan Spark
Nama Paket | Versi |
---|---|
Spark Rapids | 25.02.1 |
Driver NVIDIA | 570.133.20 |
CUDA | 12,9 |
cublas | 12.9.0 |
cusolver | 11.7.4 |
cupti | 12,9 |
cusparse | 12.5.9 |
cuDNN | 9.10 |
NCCL | 2,26 |
Library XGBoost
Versi paket Maven berikut
tersedia di Dataproc Serverless untuk runtime Spark versi 2.2
guna menggunakan
XGBoost dengan Spark di Java atau Scala.
ID Grup | Nama Paket | Versi |
---|---|---|
ml.dmlc | xgboost4j-gpu_2.13 | 2.1.4 |
ml.dmlc | xgboost4j-spark-gpu_2.13 | 2.1.4 |
Library Python
Versi library Python berikut disertakan dalam
runtime Dataproc Serverless untuk Spark versi 2.3
.
Nama Paket | Versi |
---|---|
mempercepat | 1,7 |
bigframes | 2,4 |
cookiecutter | 2.6 |
cython | 3.1 |
dask | 2025,5 |
datasets | 3,6 |
deepspeed | 0,16 |
delta-spark | 3.2 |
evaluate | 0,4 |
fastavro | 1.9 |
fastparquet | 2024.11 |
gcsfs | 2025.3 |
git | 2,49 |
google-auth-oauthlib | 1,2 |
google-cloud-aiplatform | 1,94 |
google-cloud-bigquery | 3,33 |
google-cloud-bigquery-storage | 2,31 |
google-cloud-bigtable | 2,31 |
google-cloud-container | 2,56 |
google-cloud-datacatalog | 3,27 |
google-cloud-dataproc | 5,18 |
google-cloud-datastore | 2,21 |
google-cloud-dlp | 3,29 |
google-cloud-language | 2,17 |
google-cloud-logging | 3,12 |
google-cloud-monitoring | 2,27 |
google-cloud-pubsub | 2,29 |
google-cloud-redis | 2,18 |
google-cloud-secret-manager | 2,23 |
google-cloud-spanner | 3,54 |
google-cloud-speech | 2,32 |
google-cloud-storage | 2,19 |
google-cloud-texttospeech | 2,27 |
google-cloud-translate | 3.20 |
google-cloud-vision | 3,10 |
httplib2 | 0,22 |
huggingface_hub | 0,31 |
ipyparallel | 9.0 |
ipython-sql | 0,3 |
ipywidgets | 8.1 |
jupyter_http_over_ws | 0,0 |
jupyterlab | 4,4 |
jupyterlab-git | 0,51 |
keyrings.google-artifactregistry-auth | 1.1 |
langchain | 0,3 |
lightgbm | 4.6 |
markdown | 3.8 |
matplotlib | 3.9 |
nbclassic | 1,3 |
nbconvert | 7,16 |
nbdime | 4.0 |
nltk | 3.9 |
nodejs | 22.13 |
numba | 0,61 |
numpy | 1,26 |
oauth2client | 4.1 |
onnx | 1,17 |
openblas | 0,3 |
opencv | 4,10 |
orc | 2.0 |
pandas | 2.2 |
pabrik kertas | 2.6 |
pyarrow | 15,0 |
pydot | 4.0 |
pyhive | 0,7 |
pyiceberg | 0,9 |
pymongo | 4,11 |
pynvml | 12.0 |
pytables | 3,10 |
pytorch-gpu | 2,4 |
ekspresi reguler | 2024.11 |
permintaan | 2,32 |
rtree | 1.4 |
scikit-image | 0,25 |
scikit-learn | 1.6 |
scipy | 1.13 |
seaborn | 0,13 |
sentence-transformers | 4.1 |
shap | 0,47 |
spark-tensorflow-distributor | 1,0 |
sparksql-magic | 0.0.3 |
sqlalchemy | 2.0 |
sympy | 1,14 |
tokenizer | 0,21 |
torcheval | 0.0.7 |
torchvision | 0,19 |
toree | 0,5 |
tornado | 6.5 |
transformer | 4,52 |
uritemplate | 4.1 |
virtualenv | 20,31 |
wordcloud | 1.9 |
xgboost | 2.1 |
ydata-profiling | 4,16 |
Library R
Versi library R berikut disertakan dalam
runtime Dataproc Serverless untuk Spark versi 2.3
.
Nama Paket | Versi |
---|---|
askpass | 1,2 |
assertthat | 0,2 |
backport | 1,5 |
bit | 4.6 |
bit64 | 4.6 |
blob | 1,2 |
booting | 1.3_31 |
menyeduh | 1.0_10 |
sapu | 1,0 |
callr | 3.7 |
tanda sisipan | 6.0_94 |
cellranger | 1.1 |
chron | 2.3_62 |
class | 7.3_23 |
cli | 3,6 |
clipr | 0,8 |
cluster | 2.1 |
codetools | 0,2_20 |
colorspace | 2.1_1 |
commonmark | 1.9 |
cpp11 | 0,5 |
krayon | 1,5 |
curl | 6.2 |
data.table | 1,17 |
dbi | 1,2 |
dbplyr | 2,5 |
menurun | 1.4 |
devtools | 2,4 |
ringkasan | 0,6 |
dplyr | 1.1 |
elipsis | 0,3 |
evaluate | 1,0 |
fansi | 1,0 |
fastmap | 1,2 |
forcats | 1,0 |
foreach | 1,5 |
asing | 0,8_90 |
fs | 1.6 |
mendatang | 1,49 |
generik | 0,1 |
ggplot2 | 3,5 |
gh | 1.4 |
glmnet | 4.1_8 |
global | 0,18 |
lem | 1,8 |
gower | 1,0 |
gtable | 0,3 |
surga | 2,5 |
tinggi | 0,11 |
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_15 |
isoband | 0,2 |
iterator | 1,0 |
jsonlite | 2.0 |
kernsmooth | 2.23_26 |
knitr | 1,50 |
pelabelan | 0,4 |
nanti | 1.4 |
kisi | 0,22_7 |
lava | 1,8 |
lifecycle | 1,0 |
listenv | 0,9 |
lubridate | 1.9 |
magrittr | 2.0 |
markdown | 2.0 |
massa | 7.3_60 |
matriks | 1.6_5 |
memoise | 2.0 |
mgcv | 1.9_3 |
mime | 0,13 |
modelmetrics | 1.2.2 |
modelr | 0,1 |
munsell | 0,5 |
nlme | 3.1_168 |
nnet | 7.3_20 |
numderiv | 2016.8_1 |
openssl | 2.3 |
pilar | 1.10 |
pkgbuild | 1.4 |
pkgconfig | 2.0 |
pkgload | 1.4 |
plogr | 0,2 |
plyr | 1,8 |
pujian | 1,0 |
prettyunits | 1,2 |
processx | 3.8 |
prodlim | 2025.04 |
progres | 1,2 |
promise | 1,3 |
proto | 1,0 |
ps | 1.9 |
purrr | 1,0 |
r6 | 2.6 |
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 |
resep | 1,3 |
direkomendasikan | 4,3 |
pertandingan ulang | 2.0 |
remote | 2,5 |
reprex | 2.1 |
reshape2 | 1.4 |
rlang | 1.1 |
rmarkdown | 2,29 |
rodbc | 1.3_25 |
roxygen2 | 7.3 |
rpart | 4.1 |
rprojroot | 2.0 |
rserve | 1.8_14 |
rsqlite | 2.3 |
rstudioapi | 0,17 |
rvest | 1,0 |
timbangan | 1.4 |
selectr | 0,4_2 |
sessioninfo | 1,2 |
bentuk | 1.4.6 |
mengkilap | 1.10 |
sourcetools | 0,1 |
spasial | 7.3_18 |
m2 | 2021.1 |
stringi | 1,8 |
stringr | 1,5 |
survival | 3.8_3 |
sys | 3.4 |
teachingdemos | 2.13 |
testthat | 3.2 |
tibble | 3.2 |
tidyr | 1,3 |
tidyselect | 1,2 |
tidyverse | 2.0 |
timedate | 4041.110 |
tinytex | 0,57 |
usethis | 3.1 |
utf8 | 1,2 |
uuid | 1.2_1 |
vctrs | 0,6 |
kumis | 0,4 |
withr | 3.0 |
xfun | 0,52 |
xml2 | 1,3 |
xopen | 1,0 |
xtable | 1.8_4 |
yaml | 2.3 |
zip | 2.3 |