SQL Server Big Data Clusters CU12 release notes

Applies to: yesSQL Server 2019 (15.x)

The following release notes apply to SQL Server 2019 Big Data Clusters cumulative update 12 (CU12).

Tested configurations for CU12

SQL Server Big Data Clusters CU12 was tested on the following environment combinations:

Container OS Kubernetes API Runtime Data Storage Log Storage
Ubuntu 20.04 LTS 1.20 containerd 1.4.3
docker 20.10.2
CRI-O 1.20.0
Block only Block only

Reference Architecture White Papers for SQL Server Big Data Clusters can be found on the following pages:

System environment

  • Operating System: Ubuntu 20.04.2 LTS
  • SQL Server: 15.0.4153.1
    • Java: Azul Zulu JRE 11.0.9.1
    • Python: 3.7.2 (miniconda 4.5.12)
    • R: Microsoft R 3.5.2
  • Spark: 2.4
    • Java: Azul Zulu JRE 1.8.0_275
    • Scala: 2.11
    • Python: 3.7.2 (miniconda 4.5.12)
    • R: Microsoft R 3.5.2
    • Spark SQL Connector: 1.0.2

Embedded OSS component versions

Component Version
collectd 5.12
InfluxDB 1.8.3
Elasticsearch 7.9.1
opendistro-elasticsearch-security 1.10.1.0
Fluent Bit 1.6.3
Grafana 7.3.6
Hadoop
HDFS DataNode
HDFS NameNode
3.1
Hive (Metastore) 2.3
Kibana 7.9.1
Knox 1.4.0
Livy 0.6
Openresty (Nginx) 1.17.8-2
Spark 2.4
Telegraf 1.16.1
ZooKeeper 3.5.8

Installed Python libraries

Library Version Library Version Library Version
revoscalepy 9.4.7 pycurl 7.43.0.2 jupyter-client 5.2.4
microsoftml 9.4.7 pycrypto 2.6.1 jsonschema 2.6.0
zipp 0.5.2 pycparser 2.19 Jinja2 2.10.1
zict 1.0.0 pycosat 0.6.3 jedi 0.15.1
xlwt 1.3.0 py 1.8.0 jdcal 1.4
XlsxWriter 1.1.2 ptyprocess 0.6.0 itsdangerous 1.1.0
xlrd 1.2.0 psutil 5.4.8 ipywidgets 7.4.2
wrapt 1.11.2 prompt-toolkit 2.0.7 ipython 7.2.0
widgetsnbextension 3.4.2 prometheus-client 0.7.1 ipython-genutils 0.2.0
wheel 0.33.4 pluggy 0.12.0 ipykernel 4.9.0
Werkzeug 0.15.5 plotly 4.0.0 importlib-metadata 0.19
webencodings 0.5.1 pkginfo 1.5.0.1 imagesize 1.1.0
wcwidth 0.1.7 pip 18.1 imageio 2.5.0
urllib3 1.24.2 Pillow 6.1.0 idna 2.8
unicodecsv 0.14.1 pickleshare 0.7.5 heapdict 1.0.0
traitlets 4.3.2 pexpect 4.7.0 hdijupyterutils 0.12.9
tornado 6.0.3 patsy 0.5.1 h5py 2.9.0
toolz 0.9.0 pathlib2 2.3.3 gmpy2 2.0.8
testpath 0.4.2 path.py 11.5.0 Flask 1.1.1
terminado 0.8.2 partd 0.3.9 Flask-Cors 3.0.8
tblib 1.4.0 parso 0.5.1 fastcache 1.1.0
tables 3.5.2 pandocfilters 1.4.2 et-xmlfile 1.0.1
sympy 1.3 pandasql 0.7.3 entrypoints 0.3
statsmodels 0.9.0 pandas 0.23.4 docutils 0.15.2
sqlparse 0.2.4 pandas-datareader 0.7.0 distributed 1.28.1
SQLAlchemy 1.2.15 packaging 19.1 dill 0.2.8.2
sphinxcontrib-websupport 1.1.2 openpyxl 2.5.12 defusedxml 0.6.0
Sphinx 1.8.2 olefile 0.46 decorator 4.4.0
sparkmagic 0.12.6 odo 0.5.1 datashape 0.5.4
sortedcontainers 2.1.0 numpydoc 0.8.0 dask 1.2.2
snowballstemmer 1.9.0 numpy 1.15.4 cytoolz 0.9.0.1
six 1.12.0 numexpr 2.6.9 Cython 0.29.2
setuptools 41.0.1 numba 0.42.0 cycler 0.10.0
Send2Trash 1.5.0 notebook 5.7.8 cryptography 2.5
seaborn 0.9.0 nltk 3.4 configobj 5.0.6
scipy 1.1.0 networkx 2.2 conda 4.5.12
scikit-learn 0.20.2 nbformat 4.4.0 cloudpickle 0.6.1
scikit-image 0.14.1 nbconvert 5.5.0 Click 7.0
ruamel-yaml 0.15.46 multipledispatch 0.6.0 chest 0.2.3
retrying 1.3.3 msgpack 0.6.1 chardet 3.0.4
requests 2.21.0 mpmath 1.1.0 cffi 1.12.3
requests-kerberos 0.12.0 more-itertools 7.2.0 certifi 2019.6.16
qtconsole 4.5.3 mock 3.0.5 Bottleneck 1.2.1
pyzmq 18.1.0 mkl-random 1.0.2 bokeh 1.0.3
PyYAML 5.1.2 mkl-fft 1.0.10 bleach 3.1.0
PyWavelets 1.0.3 mistune 0.8.4 blaze 0.11.3
pytz 2019.2 matplotlib 3.0.2 backports.os 0.1.1
python-dateutil 2.8.0 MarkupSafe 1.1.0 backcall 0.1.0
pytest 4.0.2 lxml 4.3.0 Babel 2.7.0
PySocks 1.7.0 locket 0.2.0 azureml-model-management-sdk 1.0.1b10
pyparsing 2.4.2 llvmlite 0.27.0 autovizwidget 0.12.9
pyOpenSSL 19.0.0 liac-arff 2.4.0 attrs 19.1.0
pyodbc 4.0.25 kiwisolver 1.1.0 atomicwrites 1.3.0
pykerberos 1.2.1 jupyter 1.0.0 asn1crypto 0.24.0
PyJWT 1.7.1 jupyter-core 4.5.0 alabaster 0.7.12
Pygments 2.4.2 jupyter-console 6.0.0 adal 1.2.2

Installed R libraries

Library Version Library Version Library Version
CompatibilityAPI 1.1.0 crayon 1.3.4 plogr 0.2.0
MicrosoftML 9.4.7 curl 3.3 plyr 1.8.4
RevoPemaR 10.0.0 datasets 3.5.2 png 0.1-7
RevoScaleR 9.4.7 dbplyr 1.2.2 promises 1.0.1
RevoTreeView 10.0.0 deployrRserve 9.0.0 psych 1.8.10
doRSR 10.0.0 digest 0.6.18 purrr 0.2.5
mrsdeploy 1.1.3 doParallel 1.0.14 r2d3 0.2.3
sqlrutils 1.0.0 dplyr 0.7.8 rappdirs 0.3.1
BH 1.69.0-1 fansi 0.4.0 readr 1.3.1
DBI 1.0.0 foreach 1.5.1 reshape2 1.4.3
KernSmooth 2.23-15 foreign 0.8-71 rlang 0.3.1
MASS 7.3-51.1 forge 0.1.0 rpart 4.1-13
Matrix 1.2-15 generics 0.0.2 rprojroot 1.3-2
MicrosoftR 3.5.2 glue 1.3.0 rstudioapi 0.9.0
R6 2.3.0 grDevices 3.5.2 shiny 1.2.0
RUnit 0.4.26 graphics 3.5.2 sourcetools 0.1.7
Rcpp 1.0.0 grid 3.5.2 sparklyr 0.9.4
RevoIOQ 10.0.1 hms 0.4.2 spatial 7.3-11
RevoMods 11.0.1 htmltools 0.3.6 splines 3.5.2
RevoUtils 11.0.2 htmlwidgets 1.3 stats 3.5.2
RevoUtilsMath 11.0.0 httpuv 1.4.5.1 stats4 3.5.2
askpass 1.1 httr 1.4.0 stringi 1.2.4
assertthat 0.2.0 iterators 1.0.11 stringr 1.3.1
backports 1.1.3 jsonlite 1.5 survival 2.43-3
base 3.5.2 later 0.7.5 sys 2.1
base64enc 0.1-3 lattice 0.20-38 tcltk 3.5.2
bindr 0.1.1 lazyeval 0.2.1 tibble 2.0.1
bindrcpp 0.2.2 magrittr 1.5 tidyr 0.8.2
boot 1.3-20 methods 3.5.2 tidyselect 0.2.5
broom 0.5.1 mgcv 1.8-26 tools 3.5.2
checkpoint 0.4.4 mime 0.6 utf8 1.1.4
class 7.3-14 mnormt 1.5-5 utils 3.5.2
cli 1.0.1 nlme 3.1-137 withr 2.1.2
clipr 0.5.0 nnet 7.3-12 xml2 1.2.0
cluster 2.0.7-1 openssl 1.2.1 xtable 1.8-3
codetools 0.2-15 parallel 3.5.2 yaml 2.2.0
compiler 3.5.2 pillar 1.3.1
config 0.3 pkgconfig 2.0.2

Next steps

For more information about SQL Server Big Data Clusters, see Introducing SQL Server 2019 Big Data Clusters