【spark】pycharm 内使用pyspark连接有kerberos集群执行sql

一、环境准备

版本信息cdh 6.2.0

hadoop:3.0.0

spark:2.4.0

hive:2.1.1

python 3.7.0

shell 复制代码

pip install pypandoc==1.5 --trusted-host mirrors.aliyun.com -i http://mirrors.aliyun.com/pypi/simple
pip install pandas==0.24.2 --trusted-host mirrors.aliyun.com -i http://mirrors.aliyun.com/pypi/simple
pip install pyspark==2.4.0 --trusted-host mirrors.aliyun.com -i http://mirrors.aliyun.com/pypi/simple
pip install hdfs

另外，certifi、urllib3、requests可能太新，需要降低版本，pip uninstall 再 pip install

复制代码

(venv) D:\xxx\>python --version
Python 3.7.0

(venv) D:\xxx\>pip list
Package            Version
------------------ -----------
certifi            2018.8.13
chardet            3.0.4
charset-normalizer 3.4.0
decorator          5.1.1
docopt             0.6.2
gssapi             1.8.3
hdfs               2.7.3
idna               2.7
krbcontext         0.10
numpy              1.21.6
pandas             0.24.2
pip                24.0
py4j               0.10.7
pypandoc           1.5
pyspark            2.4.0
python-dateutil    2.9.0.post0
pytz               2024.2
requests           2.19.1
setuptools         68.0.0
six                1.16.0
urllib3            1.23
wheel              0.42.0

二、代码

python 复制代码

# -*- coding: utf-8 -*-

from pyspark.sql import SparkSession
from pyspark import SparkContext, SparkConf

keytab_file = 'D:/user.keytab'  # keytab位置
principal = '[email protected]'

if __name__ == '__main__':
    # os.environ['HADOOP_HOME'] = 'D:\hadoop'
    # os.environ['HADOOP_CONF_DIR'] = 'D:\hadoop\etc\hadoop-curr'

    conf = SparkConf().setAppName("pyspark-sql") \
        .setSparkHome("local[*]") \
        .set("spark.sql.catalogImplementation", "hive") \  # 相当于 .enableHiveSupport()
        .set("hive.metastore.uris",
             "thrift://ts01.xxx.com:9083,thrift://ts02.xxx.com:9083") \  # 较新版本spark需要在此配置前添加spark前缀,如：spark.hive.metastore.uris，以下以hive开头的配置都需要添加
        .set("hive.metastore.sasl.enabled", "true") \
        .set("hive.metastore.kerberos.principal", "hive/[email protected]") \
        .set("spark.driver.extraJavaOptions",
             "-Djava.security.krb5.conf=D:\krb5.con -Djava.security.krb5.realm=XXXXX.COM -Djava.security.krb5.kdc=management.xxx.com") \
        .set("spark.executor.extraJavaOptions",
             "-Djava.security.krb5.conf=D:\krb5.con -Djava.security.krb5.realm=XXXXX.COM -Djava.security.krb5.kdc=management.xxx.com") \
        .set("spark.yarn.keytab", keytab_file) \ # 较新版本spark使用 spark.kerberos.keytab
        .set("spark.yarn.principal", principal) # 较新版本spark使用 spark.kerberos.principal

    sc = SparkContext(conf=conf)
    sc.setLogLevel("INFO")
    spark=SparkSession(sc)

    # spark = SparkSession.builder \
    #     .master("local[*]") \
    #     .config("hive.metastore.uris",
    #             "thrift://ts01.xxx.com:9083,thrift://ts02.xxx.com:9083") \ # 较新版本spark需要在此配置前添加spark前缀,如：spark.hive.metastore.uris，以下以hive开头的配置都需要添加
    #     .config("hive.metastore.sasl.enabled", "true") \
    #     .config("hive.metastore.kerberos.principal", "hive/[email protected]") \
    #     .config("spark.driver.extraJavaOptions",
    #             "-Djava.security.krb5.conf=D:\krb5.con -Djava.security.krb5.realm=XXXXX.COM -Djava.security.krb5.kdc=management.xxx.com") \
    #     .config("spark.executor.extraJavaOptions",
    #             "-Djava.security.krb5.conf=D:\krb5.conf -Djava.security.krb5.realm=XXXXX.COM -Djava.security.krb5.kdc=management.xxx.com") \
    #     .config("spark.yarn.keytab", keytab_file) \ # 较新版本spark使用 spark.kerberos.keytab
    #     .config("spark.yarn.principal", principal) \ # 较新版本spark使用 spark.kerberos.principal
    #     .enableHiveSupport() \
    #     .getOrCreate()

    # spark.sparkContext.setLogLevel("INFO")

    print("ready to run!!!")
    # text = sc.textFile("hdfs://yourcluster/tmp/plain-text.txt") # 先测试spark读取hdfs文件，再测试读取hive
    # print(text.collect())

    lines = spark.sql("select * from test.tmp_tbl").collect()
    print(lines)

    spark.stop()

三、启动

pycharm中启动：

pycharm的Run/Debug Configurations下的Environment variables 添加 HADOOP_HOME=D:\hadoop;HADOOP_CONF_DIR=D:\hadoop\etc\hadoop-curr

或者取消注释：

复制代码

    # os.environ['HADOOP_HOME'] = 'D:\hadoop'
    # os.environ['HADOOP_CONF_DIR'] = 'D:\hadoop\etc\hadoop-curr'

环境变量说明

（1）hadoop

通过Run/Debug Configurations下的Environment variables或者代码里添加os.environ都可以配置HADOOP_HOME和HADOOP_CONF_DIR

（2）hive

实测，通过各种方式配置HIVE_CONF_DIR都是不起作用的。必须将hive的配置直接传递给spark。kerberos认证下hive.metastore.uris，hive.metastore.sasl.enabled，hive.metastore.kerberos.principal都是必须得。

（3）keberos

实测，通过各种方式配置KRB5_CONFIG都是没有用的。java的启动参数也必须通过spark.driver.extraJavaOptions和spark.executor.extraJavaOptions传入。尝试添加在如下位置C:\Windows/krb5.ini，C:\winnt\krb5.ini，JAVA_HOME/lib/security/krb5.ini，krb5.ini或者krb5.conf都是不起作用的。只添加-Djava.security.krb5.conf会报错：java.lang.IllegalArgumentException: Can't get Kerberos realm，还必须添加-Djava.security.krb5.realm和-Djava.security.krb5.kdc。

四、日志文件内容说明

会有Warning内容，但是不能删除Hive相关的配置，否则会报错。

复制代码

Warning: Ignoring non-spark config property: hive.metastore.sasl.enabled=true
Warning: Ignoring non-spark config property: hive.metastore.uris=thrift://ts01.xxx.com:9083,thrift://ts02.xxx.com:9083
Warning: Ignoring non-spark config property: hive.metastore.kerberos.principal=hive/[email protected]

2024-11-21 16:20:00 INFO  metastore:376 - Trying to connect to metastore with URI thrift://ts01.xxx.com:9083
2024-11-21 16:20:01 INFO  metastore:472 - Connected to metastore.