Serverless environment version 2

This article outlines the system environment information for serverless environment version 2.

To ensure compatibility for the application, serverless workloads use a versioned API, known as the environment version, which remains compatible with newer server versions.

You can select the environment version using the Environment panel in your serverless notebooks. See Install notebook dependencies.

For more on environment versions, see Serverless compute release notes.

Release notes

December 16, 2024

  • Task progress bar added to serverless compute A new task progress bar has been added to notebook cells running on serverless compute environment version 2. This progress bar indicates the execution progress of the cell’s Spark code.

    Serverless progress bar

System environment

  • Operating System: Ubuntu 22.04.4 LTS
  • Python: 3.11.10
  • Databricks Connect: 15.4.2

Installed Python libraries

Library Version Library Version Library Version
asttokens 2.0.5 astunparse 1.6.3 autocommand 2.2.2
azure-core 1.31.0 azure-storage-blob 12.19.1 azure-storage-file-datalake 12.14.0
backports.tarfile 1.2.0 black 23.3.0 blinker 1.4
boto3 1.34.39 botocore 1.34.39 cachetools 5.5.0
certifi 2023.7.22 cffi 1.15.1 chardet 4.0.0
charset-normalizer 2.0.4 click 8.0.4 cloudpickle 3.0.0
comm 0.1.2 contourpy 1.0.5 cryptography 41.0.3
cycler 0.11.0 Cython 0.29.32 databricks-connect 15.4.2
databricks-sdk 0.36.0 dbus-python 1.2.18 debugpy 1.6.7
decorator 5.1.1 dill 0.3.6 distlib 0.3.9
entrypoints 0.4 executing 0.8.3 facets-overview 1.1.1
filelock 3.13.4 fonttools 4.25.0 gitdb 4.0.11
GitPython 3.1.43 google-api-core 2.18.0 google-auth 2.35.0
google-cloud-core 2.4.1 google-cloud-storage 2.18.2 google-crc32c 1.6.0
google-resumable-media 2.7.2 googleapis-common-protos 1.65.0 grpcio 1.67.0
grpcio-status 1.67.0 httplib2 0.20.2 idna 3.4
importlib-metadata 6.0.0 importlib_resources 6.4.0 inflect 7.3.1
ipyflow-core 0.0.201 ipykernel 6.28.0 ipython 8.25.0
ipython-genutils 0.2.0 ipywidgets 7.7.2 isodate 0.7.2
jaraco.collections 5.1.0 jaraco.context 5.3.0 jaraco.functools 4.0.1
jaraco.text 3.12.1 jedi 0.18.1 jeepney 0.7.1
jmespath 0.10.0 joblib 1.2.0 jupyter_client 7.4.9
jupyter_core 5.3.0 keyring 23.5.0 kiwisolver 1.4.4
launchpadlib 1.10.16 lazr.restfulclient 0.14.4 lazr.uri 1.0.6
matplotlib 3.7.2 matplotlib-inline 0.1.6 mlflow-skinny 2.11.4
more-itertools 8.10.0 mypy-extensions 0.4.3 nest-asyncio 1.5.6
numpy 1.23.5 oauthlib 3.2.0 packaging 23.2
pandas 1.5.3 parso 0.8.3 pathspec 0.10.3
patsy 0.5.3 pexpect 4.8.0 pillow 10.3.0
pip 24.2 platformdirs 3.10.0 plotly 5.9.0
prompt_toolkit 3.0.48 proto-plus 1.25.0 protobuf 5.28.3
psutil 5.9.0 psycopg2 2.9.3 ptyprocess 0.7.0
pure-eval 0.2.2 py4j 0.10.9.7 pyarrow 14.0.1
pyasn1 0.4.8 pyasn1-modules 0.2.8 pyccolo 0.0.65
pycparser 2.21 pydantic 1.10.6 Pygments 2.15.1
PyGObject 3.42.1 PyJWT 2.3.0 pyodbc 4.0.39
pyparsing 3.0.9 python-dateutil 2.8.2 python-lsp-jsonrpc 1.1.2
pytz 2022.7 PyYAML 6.0 pyzmq 25.1.2
requests 2.31.0 rsa 4.9 s3transfer 0.10.3
scikit-learn 1.3.0 scipy 1.11.1 seaborn 0.12.2
SecretStorage 3.3.1 setuptools 75.1.0 six 1.16.0
smmap 5.0.1 sqlparse 0.5.1 ssh-import-id 5.11
stack-data 0.2.0 statsmodels 0.14.0 tenacity 8.2.2
threadpoolctl 2.2.0 tokenize-rt 4.2.1 tomli 2.0.1
tornado 6.3.2 traitlets 5.13.0 typeguard 4.3.0
typing_extensions 4.10.0 tzdata 2022.1 ujson 5.4.0
unattended-upgrades 0.1 urllib3 1.26.16 virtualenv 20.26.6
wadllib 1.3.6 wcwidth 0.2.5 wheel 0.38.4
zipp 3.11.0 zstandard 0.23.0