Databricks Runtime 7.3 LTS for Machine Learning

Databricks released this image in September 2020. It was declared Long Term Support (LTS) in October 2020.

Databricks Runtime 7.3 LTS for Machine Learning provides a ready-to-go environment for machine learning and data science based on Databricks Runtime 7.3 LTS. Databricks Runtime ML contains many popular machine learning libraries, including TensorFlow, PyTorch, and XGBoost. It also supports distributed deep learning training using Horovod.

For more information, including instructions for creating a Databricks Runtime ML cluster, see Databricks Runtime for Machine Learning.

For help with migration from Databricks Runtime 6.x, see Databricks Runtime 7.x migration guide.

New features and major changes

Databricks Runtime 7.3 LTS for Machine Learning is built on top of Databricks Runtime 7.3 LTS. For information on what’s new in Databricks Runtime 7.3 LTS, including Apache Spark MLlib and SparkR, see the Databricks Runtime 7.3 LTS release notes.

Major changes to Databricks Runtime ML Python environment

Conda activation on workers

Previously, when you updated the notebook environment using %conda, the new environment was not activated on worker Python processes. This caused issues if a PySpark UDF function called a third-party function that used resources installed inside the Conda environment. This limitation does not exist any more.

You should also review the major changes to the Databricks Runtime Python environment in Databricks Runtime 7.3 LTS. For a full list of installed Python packages and their versions, see Python libraries.

Python packages upgraded

  • mlflow 1.9.1 -> 1.11.0
  • tensorflow 2.2.0 -> 2.3.0
  • tensorboard 2.2.2 -> 2.3.0
  • pytorch 1.5.1 -> 1.6.0
  • torchvision 0.6.1 -> 0.7.0
  • petastorm 0.9.2 -> 0.9.5

System environment

The system environment in Databricks Runtime 7.3 LTS for Machine Learning differs from Databricks Runtime 7.3 LTS as follows:

Libraries

The following sections list the libraries included in Databricks Runtime 7.3 LTS for Machine Learning that differ from those included in Databricks Runtime 7.3 LTS.

Top-tier libraries

Databricks Runtime 7.3 LTS for Machine Learning includes the following top-tier libraries:

Python libraries

Databricks Runtime 7.3 LTS for Machine Learning uses Conda for Python package management and includes many popular ML packages.

In addition to the packages specified in the Conda environments in the following sections, Databricks Runtime 7.3 LTS for Machine Learning also installs the following packages:

  • hyperopt 0.2.4.db2
  • sparkdl 2.1.0-db1

Python libraries on CPU clusters

name: databricks-ml
channels:
  - pytorch
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - absl-py=0.9.0=py37_0
  - asn1crypto=1.3.0=py37_1
  - astor=0.8.0=py37_0
  - backcall=0.1.0=py37_0
  - backports=1.0=py_2
  - bcrypt=3.2.0=py37h7b6447c_0
  - blas=1.0=mkl
  - blinker=1.4=py37_0
  - boto3=1.12.0=py_0
  - botocore=1.15.0=py_0
  - c-ares=1.15.0=h7b6447c_1001
  - ca-certificates=2020.7.22=0
  - cachetools=4.1.1=py_0
  - certifi=2020.6.20=pyhd3eb1b0_3 # (updated from py37_0 in June 15, 2021 maintenance update)
  - cffi=1.14.0=py37he30daa8_1 # (updated from py37h2e261b9_0 in June 15, 2021 maintenance update)
  - chardet=3.0.4=py37_1003
  - click=7.0=py37_0
  - cloudpickle=1.3.0=py_0
  - configparser=3.7.4=py37_0
  - cpuonly=1.0=0
  - cryptography=2.8=py37h1ba5d50_0
  - cycler=0.10.0=py37_0
  - cython=0.29.15=py37he6710b0_0
  - decorator=4.4.1=py_0
  - dill=0.3.1.1=py37_1
  - docutils=0.15.2=py37_0
  - entrypoints=0.3=py37_0
  - flask=1.1.1=py_1
  - freetype=2.9.1=h8a8886c_1
  - future=0.18.2=py37_1
  - gast=0.3.3=py_0
  - gitdb=4.0.5=py_0
  - gitpython=3.1.0=py_0
  - google-auth=1.11.2=py_0
  - google-auth-oauthlib=0.4.1=py_2
  - google-pasta=0.2.0=py_0
  - grpcio=1.27.2=py37hf8bcb03_0
  - gunicorn=20.0.4=py37_0
  - h5py=2.10.0=py37h7918eee_0
  - hdf5=1.10.4=hb1b8bf9_0
  - icu=58.2=he6710b0_3
  - idna=2.8=py37_0
  - intel-openmp=2020.0=166
  - ipykernel=5.1.4=py37h39e3cac_0
  - ipython=7.12.0=py37h5ca1d4c_0
  - ipython_genutils=0.2.0=py37_0
  - isodate=0.6.0=py_1
  - itsdangerous=1.1.0=py37_0
  - jedi=0.14.1=py37_0
  - jinja2=2.11.1=py_0
  - jmespath=0.10.0=py_0
  - joblib=0.14.1=py_0
  - jpeg=9b=h024ee3a_2
  - jupyter_client=5.3.4=py37_0
  - jupyter_core=4.6.1=py37_0
  - kiwisolver=1.1.0=py37he6710b0_0
  - krb5=1.17.1=h173b8e3_0 # (updated from 1.16.4 in June 15, 2021 maintenance update)
  - ld_impl_linux-64=2.33.1=h53a641e_7
  - libedit=3.1.20181209=hc058e9b_0
  - libffi=3.3=he6710b0_2 # (updated from 3.2.1 in June 15, 2021 maintenance update)
  - libgcc-ng=9.1.0=hdf63c60_0
  - libgfortran-ng=7.3.0=hdf63c60_0
  - libpng=1.6.37=hbc83047_0
  - libpq=12.2=h20c2e04_0 # (updated from 11.2 in June 15, 2021 maintenance update)
  - libprotobuf=3.11.4=hd408876_0
  - libsodium=1.0.16=h1bed415_0
  - libstdcxx-ng=9.1.0=hdf63c60_0
  - libtiff=4.1.0=h2733197_0
  - lightgbm=2.3.0=py37he6710b0_0
  - lz4-c=1.8.1.2=h14c3975_0
  - mako=1.1.2=py_0
  - markdown=3.1.1=py37_0
  - markupsafe=1.1.1=py37h14c3975_1
  - matplotlib-base=3.1.3=py37hef1b27d_0
  - mkl=2020.0=166
  - mkl-service=2.3.0=py37he904b0f_0
  - mkl_fft=1.0.15=py37ha843d7b_0
  - mkl_random=1.1.0=py37hd6b4f25_0
  - ncurses=6.2=he6710b0_1
  - networkx=2.4=py_1
  - ninja=1.10.0=py37hfd86e86_0
  - nltk=3.4.5=py37_0
  - numpy=1.18.1=py37h4f9e942_0
  - numpy-base=1.18.1=py37hde5b4d6_1
  - oauthlib=3.1.0=py_0
  - olefile=0.46=py37_0
  - openssl=1.1.1k=h27cfd23_0 # (updated from 1.1.1g in June 15, 2021 maintenance update)
  - packaging=20.1=py_0
  - pandas=1.0.1=py37h0573a6f_0
  - paramiko=2.7.1=py_0
  - parso=0.5.2=py_0
  - patsy=0.5.1=py37_0
  - pexpect=4.8.0=py37_1
  - pickleshare=0.7.5=py37_1001
  - pillow=7.0.0=py37hb39fc2d_0
  - pip=20.0.2=py37_3
  - plotly=4.9.0=py_0
  - prompt_toolkit=3.0.3=py_0
  - protobuf=3.11.4=py37he6710b0_0
  - psutil=5.6.7=py37h7b6447c_0
  - psycopg2=2.8.6=py37h3c74f83_1 # (updated from 2.8.4 in June 15, 2021 maintenance update)
  - ptyprocess=0.6.0=py37_0
  - pyasn1=0.4.8=py_0
  - pyasn1-modules=0.2.7=py_0
  - pycparser=2.19=py37_0
  - pygments=2.5.2=py_0
  - pyjwt=1.7.1=py37_0
  - pynacl=1.3.0=py37h7b6447c_0
  - pyodbc=4.0.30=py37he6710b0_0
  - pyopenssl=19.1.0=py_1
  - pyparsing=2.4.6=py_0
  - pysocks=1.7.1=py37_1
  - python=3.7.10=hdb3f193_0 # (updated from 3.7.6 in June 15, 2021 maintenance update)
  - python-dateutil=2.8.1=py_0
  - python-editor=1.0.4=py_0
  - pytorch=1.6.0=py3.7_cpu_0
  - pytz=2019.3=py_0
  - pyzmq=18.1.1=py37he6710b0_0
  - readline=8.1=h27cfd23_0 # (updated from 7.0 in June 15, 2021 maintenance update)
  - requests=2.22.0=py37_1
  - requests-oauthlib=1.3.0=py_0
  - retrying=1.3.3=py37_2
  - rsa=4.0=py_0
  - s3transfer=0.3.3=py37_1
  - scikit-learn=0.22.1=py37hd81dba3_0
  - scipy=1.4.1=py37h0b6359f_0
  - setuptools=45.2.0=py37_0
  - simplejson=3.17.0=py37h7b6447c_0
  - six=1.14.0=py37_0
  - smmap=3.0.4=py_0
  - sqlite=3.35.4=hdfb4753_0 # (updated from 3.31.1 in June 15, 2021 maintenance update)
  - sqlparse=0.3.0=py_0
  - statsmodels=0.11.0=py37h7b6447c_0
  - tabulate=0.8.3=py37_0
  - tk=8.6.10=hbc83047_0 # (updated from 8.6.8 in June 15, 2021 maintenance update)
  - torchvision=0.7.0=py37_cpu
  - tornado=6.0.3=py37h7b6447c_3
  - tqdm=4.42.1=py_0
  - traitlets=4.3.3=py37_0
  - unixodbc=2.3.7=h14c3975_0
  - urllib3=1.25.8=py37_0
  - wcwidth=0.1.8=py_0
  - websocket-client=0.56.0=py37_0
  - werkzeug=1.0.0=py_0
  - wheel=0.34.2=py37_0
  - wrapt=1.11.2=py37h7b6447c_0
  - xz=5.2.5=h7b6447c_0 # (updated from 5.2.4 in June 15, 2021 maintenance update)
  - zeromq=4.3.1=he6710b0_3
  - zlib=1.2.11=h7b6447c_3
  - zstd=1.3.7=h0b5b093_0
  - pip:
    - astunparse==1.6.3
    - azure-core==1.8.0
    - azure-storage-blob==12.4.0
    - databricks-cli==0.11.0
    - diskcache==5.0.2
    - docker==4.3.1
    - gorilla==0.3.0
    - horovod==0.19.5
    - joblibspark==0.2.0
    - keras-preprocessing==1.1.2
    - koalas==1.2.0
    - mleap==0.16.1
    - mlflow==1.11.0
    - msrest==0.6.18
    - opt-einsum==3.3.0
    - petastorm==0.9.5
    - pyarrow==1.0.1
    - pyyaml==5.3.1
    - querystring-parser==1.2.4
    - seaborn==0.10.0
    - spark-tensorflow-distributor==0.1.0
    - tensorboard==2.3.0
    - tensorboard-plugin-wit==1.7.0
    - tensorflow-cpu==2.3.0
    - tensorflow-estimator==2.3.0
    - termcolor==1.1.0
    - xgboost==1.1.1
prefix: /databricks/conda/envs/databricks-ml

Python libraries on GPU clusters

name: databricks-ml-gpu
channels:
  - pytorch
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - absl-py=0.9.0=py37_0
  - asn1crypto=1.3.0=py37_1
  - astor=0.8.0=py37_0
  - backcall=0.1.0=py37_0
  - backports=1.0=py_2
  - bcrypt=3.2.0=py37h7b6447c_0
  - blas=1.0=mkl
  - blinker=1.4=py37_0
  - boto3=1.12.0=py_0
  - botocore=1.15.0=py_0
  - c-ares=1.15.0=h7b6447c_1001
  - ca-certificates=2020.7.22=0
  - cachetools=4.1.1=py_0
  - certifi=2020.6.20=pyhd3eb1b0_3 # (updated from py37_0 in June 15, 2021 maintenance update)
  - cffi=1.14.0=py37he30daa8_1 # (updated from py37h2e261b9_0 in June 15, 2021 maintenance update)
  - chardet=3.0.4=py37_1003
  - click=7.0=py37_0
  - cloudpickle=1.3.0=py_0
  - configparser=3.7.4=py37_0
  - cryptography=2.8=py37h1ba5d50_0
  - cudatoolkit=10.1.243=h6bb024c_0
  - cycler=0.10.0=py37_0
  - cython=0.29.15=py37he6710b0_0
  - decorator=4.4.1=py_0
  - dill=0.3.1.1=py37_1
  - docutils=0.15.2=py37_0
  - entrypoints=0.3=py37_0
  - flask=1.1.1=py_1
  - freetype=2.9.1=h8a8886c_1
  - future=0.18.2=py37_1
  - gast=0.3.3=py_0
  - gitdb=4.0.5=py_0
  - gitpython=3.1.0=py_0
  - google-auth=1.11.2=py_0
  - google-auth-oauthlib=0.4.1=py_2
  - google-pasta=0.2.0=py_0
  - grpcio=1.27.2=py37hf8bcb03_0
  - gunicorn=20.0.4=py37_0
  - h5py=2.10.0=py37h7918eee_0
  - hdf5=1.10.4=hb1b8bf9_0
  - icu=58.2=he6710b0_3
  - idna=2.8=py37_0
  - intel-openmp=2020.0=166
  - ipykernel=5.1.4=py37h39e3cac_0
  - ipython=7.12.0=py37h5ca1d4c_0
  - ipython_genutils=0.2.0=py37_0
  - isodate=0.6.0=py_1
  - itsdangerous=1.1.0=py37_0
  - jedi=0.14.1=py37_0
  - jinja2=2.11.1=py_0
  - jmespath=0.10.0=py_0
  - joblib=0.14.1=py_0
  - jpeg=9b=h024ee3a_2
  - jupyter_client=5.3.4=py37_0
  - jupyter_core=4.6.1=py37_0
  - kiwisolver=1.1.0=py37he6710b0_0
  - krb5=1.16.4=h173b8e3_0 # (updated from 1.16.4 in June 15, 2021 maintenance update)
  - ld_impl_linux-64=2.33.1=h53a641e_7
  - libedit=3.1.20181209=hc058e9b_0
  - libffi=3.3=he6710b0_2 # (updated from 3.2.1 in June 15, 2021 maintenance update)
  - libgcc-ng=9.1.0=hdf63c60_0
  - libgfortran-ng=7.3.0=hdf63c60_0
  - libpng=1.6.37=hbc83047_0
  - libpq=12.2=h20c2e04_0 # (updated from 11.2 in June 15, 2021 maintenance update)
  - libprotobuf=3.11.4=hd408876_0
  - libsodium=1.0.16=h1bed415_0
  - libstdcxx-ng=9.1.0=hdf63c60_0
  - libtiff=4.1.0=h2733197_0
  - lightgbm=2.3.0=py37he6710b0_0
  - lz4-c=1.8.1.2=h14c3975_0
  - mako=1.1.2=py_0
  - markdown=3.1.1=py37_0
  - markupsafe=1.1.1=py37h14c3975_1
  - matplotlib-base=3.1.3=py37hef1b27d_0
  - mkl=2020.0=166
  - mkl-service=2.3.0=py37he904b0f_0
  - mkl_fft=1.0.15=py37ha843d7b_0
  - mkl_random=1.1.0=py37hd6b4f25_0
  - ncurses=6.2=he6710b0_1
  - networkx=2.4=py_1
  - ninja=1.10.0=py37hfd86e86_0
  - nltk=3.4.5=py37_0
  - numpy=1.18.1=py37h4f9e942_0
  - numpy-base=1.18.1=py37hde5b4d6_1
  - oauthlib=3.1.0=py_0
  - olefile=0.46=py37_0
  - openssl=1.1.1k=h27cfd23_0 # (updated from 1.1.1g in June 15, 2021 maintenance update)
  - packaging=20.1=py_0
  - pandas=1.0.1=py37h0573a6f_0
  - paramiko=2.7.1=py_0
  - parso=0.5.2=py_0
  - patsy=0.5.1=py37_0
  - pexpect=4.8.0=py37_1
  - pickleshare=0.7.5=py37_1001
  - pillow=7.0.0=py37hb39fc2d_0
  - pip=20.0.2=py37_3
  - plotly=4.9.0=py_0
  - prompt_toolkit=3.0.3=py_0
  - protobuf=3.11.4=py37he6710b0_0
  - psutil=5.6.7=py37h7b6447c_0
  - psycopg2=2.8.6=py37h3c74f83_1 # (updated from 2.8.4 in June 15, 2021 maintenance update)
  - ptyprocess=0.6.0=py37_0
  - pyasn1=0.4.8=py_0
  - pyasn1-modules=0.2.7=py_0
  - pycparser=2.19=py37_0
  - pygments=2.5.2=py_0
  - pyjwt=1.7.1=py37_0
  - pynacl=1.3.0=py37h7b6447c_0
  - pyodbc=4.0.30=py37he6710b0_0
  - pyopenssl=19.1.0=py_1
  - pyparsing=2.4.6=py_0
  - pysocks=1.7.1=py37_1
  - python=3.7.10=hdb3f193_0 # (updated from 3.7.6 in June 15, 2021 maintenance update)
  - python-dateutil=2.8.1=py_0
  - python-editor=1.0.4=py_0
  - pytorch=1.6.0=py3.7_cuda10.1.243_cudnn7.6.3_0
  - pytz=2019.3=py_0
  - pyzmq=18.1.1=py37he6710b0_0
  - readline=8.1=h27cfd23_0 # (updated from 7.0 in June 15, 2021 maintenance update)
  - requests=2.22.0=py37_1
  - requests-oauthlib=1.3.0=py_0
  - retrying=1.3.3=py37_2
  - rsa=4.0=py_0
  - s3transfer=0.3.3=py37_1
  - scikit-learn=0.22.1=py37hd81dba3_0
  - scipy=1.4.1=py37h0b6359f_0
  - setuptools=45.2.0=py37_0
  - simplejson=3.17.0=py37h7b6447c_0
  - six=1.14.0=py37_0
  - smmap=3.0.4=py_0
  - sqlite=3.35.4=hdfb4753_0 # (updated from 3.31.1 in June 15, 2021 maintenance update)
  - sqlparse=0.3.0=py_0
  - statsmodels=0.11.0=py37h7b6447c_0
  - tabulate=0.8.3=py37_0
  - tk=8.6.10=hbc83047_0 # (updated from 8.6.8 in June 15, 2021 maintenance update)
  - torchvision=0.7.0=py37_cu101
  - tornado=6.0.3=py37h7b6447c_3
  - tqdm=4.42.1=py_0
  - traitlets=4.3.3=py37_0
  - unixodbc=2.3.7=h14c3975_0
  - urllib3=1.25.8=py37_0
  - wcwidth=0.1.8=py_0
  - websocket-client=0.56.0=py37_0
  - werkzeug=1.0.0=py_0
  - wheel=0.34.2=py37_0
  - wrapt=1.11.2=py37h7b6447c_0
  - xz=5.2.5=h7b6447c_0 # (updated from 5.2.4 in June 15, 2021 maintenance update)
  - zeromq=4.3.1=he6710b0_3
  - zlib=1.2.11=h7b6447c_3
  - zstd=1.3.7=h0b5b093_0
  - pip:
    - astunparse==1.6.3
    - azure-core==1.8.0
    - azure-storage-blob==12.4.0
    - databricks-cli==0.11.0
    - diskcache==5.0.2
    - docker==4.3.1
    - gorilla==0.3.0
    - horovod==0.19.5
    - joblibspark==0.2.0
    - keras-preprocessing==1.1.2
    - koalas==1.2.0
    - mleap==0.16.1
    - mlflow==1.11.0
    - msrest==0.6.18
    - opt-einsum==3.3.0
    - petastorm==0.9.5
    - pyarrow==1.0.1
    - pyyaml==5.3.1
    - querystring-parser==1.2.4
    - seaborn==0.10.0
    - spark-tensorflow-distributor==0.1.0
    - tensorboard==2.3.0
    - tensorboard-plugin-wit==1.7.0
    - tensorflow==2.3.0
    - tensorflow-estimator==2.3.0
    - termcolor==1.1.0
    - xgboost==1.1.1
prefix: /databricks/conda/envs/databricks-ml-gpu

Spark packages containing Python modules

Spark Package Python Module Version
graphframes graphframes 0.8.0-db2-spark3.0

R libraries

The R libraries are identical to the R Libraries in Databricks Runtime 7.3 LTS.

Java and Scala libraries (Scala 2.12 cluster)

In addition to Java and Scala libraries in Databricks Runtime 7.3 LTS, Databricks Runtime 7.3 LTS for Machine Learning contains the following JARs:

Group ID Artifact ID Version
com.typesafe.akka akka-actor_2.12 2.5.23
ml.combust.mleap mleap-databricks-runtime_2.12 0.17.3-4882dc3
ml.dmlc xgboost4j-spark_2.12 1.0.0
ml.dmlc xgboost4j_2.12 1.0.0
org.mlflow mlflow-client 1.11.0
org.scala-lang.modules scala-java8-compat_2.12 0.8.0
org.tensorflow spark-tensorflow-connector_2.12 1.15.0