Catatan rilis SQL Server Kluster Big Data CU12

  • Artikel

Berlaku untuk: SQL Server 2019 (15.x)

Catatan rilis berikut berlaku untuk SQL Server 2019 Kluster Big Data pembaruan kumulatif 12 (CU12).

Konfigurasi yang diuji untuk CU12

SQL Server Kluster Big Data CU12 diuji pada kombinasi lingkungan berikut:

OS Kontainer API Kubernetes Runtime Penyimpanan Data Penyimpanan Log
Ubuntu 20.04 LTS 1.20 containerd 1.4.3
docker 20.10.2
CRI-O 1.20.0		 Blokir saja Blokir saja

Laporan Resmi Arsitektur Referensi untuk SQL Server Kluster Big Data dapat ditemukan di halaman berikut:

Lingkungan sistem

  • Sistem Operasi: Ubuntu 20.04.2 LTS
  • SQL Server: 15.0.4153.13
    • 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 Koneksi or: 1.0.2

Versi komponen OSS yang disematkan

Komponen Versi
dikumpulkan 5.12
InfluxDB 1.8.3
Elasticsearch 7.9.1
opendistro-elasticsearch-security 1.10.1.0
Bit Fasih 1.6.3
Grafana 7.3.6
Hadoop
HDFS DataNode
HDFS NameNode		 3.1
Apache 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

Pustaka Python yang diinstal

Pustaka Versi Pustaka Versi Pustaka Versi
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 0.5.1 pkginfo 1.5.0.1 gambar 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=5.0.5 4.3.2 pexpect=4.8.0 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
tabel 3.5.2 pandocfilters 1.4.2 et-xmlfile 1.0.1
sympy 1.3 pandasql 0.7.3 titik masuk 0,3
statsmodels 0.9.0 pandas 0.23.4 docutils 0.15.2
sqlparse 0.2.4 pandas-datareader 0.7.0 Didistribusikan 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 buku catatan 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 Klik 7,0
ruamel-yaml 0.15.46 multipledispatch 0.6.0 Dada 0.2.3
retrying 1.3.3 msgpack 0.6.1 chardet 3.0.4
permintaan 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 Penyempitan 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 pemutih 3.1.0
PyWavelets 1.0.3 mistune 0.8.4 Api 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 liontin 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

Pustaka R yang dipasang

Pustaka Versi Pustaka Versi Pustaka Versi
KompatibilitasAPI 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
dasar 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 alat 3.5.2
checkpoint 0.4.4 mime 0,6 utf8 1.1.4
kelas 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
klaster 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

Langkah berikutnya

Untuk informasi selengkapnya tentang Kluster Big Data SQL Server, lihat Memperkenalkan Kluster Big Data SQL Server 2019