无网络接入的CDH集群如何安装parckage(如mmlspark)？
无网络接入的CDH集群如何安装parckage(如mmlspark)？
提问于 2020-07-29 13:36:53
因为在中国很难连接maven.org，所以我不能不通过以下方式安装mmlspark
pyspark --packages com.microsoft.ml.spark:mmlspark_2.11:1.0.0-rc1 --repositories=https://mmlspark.azureedge.net/maven会得到
:::: ERRORS
Server access error at url https://repo1.maven.org/maven2/com/microsoft/ml/lightgbm/lightgbmlib/2.3.100/lightgbmlib-2.3.100.pom (java.net.ConnectException: Connection timed out (Connection timed out))
Server access error at url https://repo1.maven.org/maven2/com/microsoft/ml/lightgbm/lightgbmlib/2.3.100/lightgbmlib-2.3.100.jar (java.net.ConnectException: Connection timed out (Connection timed out))
:: USE VERBOSE OR DEBUG MESSAGE LEVEL FOR MORE DETAILS
Exception in thread "main" java.lang.RuntimeException: [unresolved dependency: com.microsoft.ml.lightgbm#lightgbmlib;2.3.100: not found, download failed: com.microsoft.ml.spark#mmlspark_2.11;1.0.0-rc1!mmlspark_2.11.jar, download failed: org.scalatest#scalatest_2.11;3.0.5!scalatest_2.11.jar(bundle), download failed: com.microsoft.cntk#cntk;2.4!cntk.jar, download failed: org.openpnp#opencv;3.2.0-1!opencv.jar(bundle)]
at org.apache.spark.deploy.SparkSubmitUtils$.resolveMavenCoordinates(SparkSubmit.scala:1308)
at org.apache.spark.deploy.DependencyUtils$.resolveMavenDependencies(DependencyUtils.scala:54)
at org.apache.spark.deploy.SparkSubmit.prepareSubmitEnvironment(SparkSubmit.scala:315)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:143)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)
at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:926)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:935)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
[TerminalIPythonApp] WARNING | Unknown error in handling PYTHONSTARTUP file /opt/cloudera/parcels/CDH-6.2.0-1.cdh6.2.0.p0.967373/lib/spark/python/pyspark/shell.py:尝试手动安装
我有一个亚马逊ec2实例，它可以访问maven.org，我下载了所有包并复制到本地CDH集群，路径/opt/cloudera/parcels/CDH/lib/spark/jars/mmlspark_jars/，
并设置config：
第一个spark-defaults.conf：
spark.driver.extraClassPath=/opt/cloudera/parcels/CDH/lib/spark/jars/mmlspark_jars/*
spark.executor.extraClassPath=/opt/cloudera/parcels/CDH/lib/spark/jars/mmlspark_jars/*第二: spark-env.sh：
export SPARK_CLASSPATH=/opt/cloudera/parcels/CDH/lib/spark/jars/mmlspark_jars/*:$SPARK_CLASSPATH可以看到jar已加载
但import mmlspark仍然是ModuleNotFoundError: No module named 'mmlspark'
通过一些努力
我发现:解压mmlspark.jar，压缩文件夹里面的mmlspark并放到hdfs( hdfs://test/mmlspark.zip )，加载这个.zip到pyfiles (--py-files hdfs://test/mmlspark.zip )，就可以成功导入mmlspark了。
我使用jar依赖项和mmlspark.zip启动了一个pyspark shell：
pyspark --jars "/user/spark/mmlspark_jars/com.github.vowpalwabbit_vw-jni-8.7.0.3.jar,/user/spark/mmlspark_jars/com.jcraft_jsch-0.1.54.jar,/user/spark/mmlspark_jars/com.microsoft.cntk_cntk-2.4.jar,/user/spark/mmlspark_jars/com.microsoft.ml.lightgbm_lightgbmlib-2.3.100.jar,/user/spark/mmlspark_jars/com.microsoft.ml.spark_mmlspark_2.11-1.0.0-rc1.jar,/user/spark/mmlspark_jars/commons-codec_commons-codec-1.10.jar,/user/spark/mmlspark_jars/commons-logging_commons-logging-1.2.jar,/user/spark/mmlspark_jars/io.spray_spray-json_2.11-1.3.2.jar,/user/spark/mmlspark_jars/org.apache.httpcomponents_httpclient-4.5.6.jar,/user/spark/mmlspark_jars/org.apache.httpcomponents_httpcore-4.4.10.jar,/user/spark/mmlspark_jars/org.openpnp_opencv-3.2.0-1.jar,/user/spark/mmlspark_jars/org.scala-lang.modules_scala-xml_2.11-1.0.6.jar,/user/spark/mmlspark_jars/org.scala-lang_scala-reflect-2.11.12.jar,/user/spark/mmlspark_jars/org.scalactic_scalactic_2.11-3.0.5.jar,/user/spark/mmlspark_jars/org.scalatest_scalatest_2.11-3.0.5.jar" --py-files hdfs://test/mmlspark.zip测试代码
from sklearn import datasets
iris = datasets.load_iris()
X = iris.data
Y = iris.target
df = np.column_stack([X,Y])
df = pd.DataFrame(df)
df.columns = ['f1', 'f2', 'f3', 'f4', 'label']
feature_cols = ['f1', 'f2', 'f3', 'f4']
df = spark.createDataFrame(df)
from pyspark.ml.feature import VectorAssembler
vec_assembler = VectorAssembler(inputCols=feature_cols, outputCol='features')
df1 = vec_assembler.transform(df)
from mmlspark.lightgbm import LightGBMRegressor
model = LightGBMRegressor(objective='quantile',
alpha=0.2,
learningRate=0.3,
numLeaves=31,
featuresCol='features',
labelCol='label').fit(df1)错误
Py---------------------------------------------------------------------------
Py4JJavaError Traceback (most recent call last)
<ipython-input-55-fe341b86ea18> in <module>
18 numLeaves=31,
19 featuresCol='features',
---> 20 labelCol='label').fit(df1)
/opt/cloudera/parcels/CDH/lib/spark/python/pyspark/ml/base.py in fit(self, dataset, params)
130 return self.co(params)._fit(dataset)
131 else:
--> 132 return self._fit(dataset)
133 else:
134 raise ValueError("Params must be either a param map or a list/tuple of param maps, "
/opt/cloudera/parcels/CDH/lib/spark/python/pyspark/ml/wrapper.py in _fit(self, dataset)
293
294 def _fit(self, dataset):
--> 295 java_model = self._fit_java(dataset)
296 model = self._create_model(java_model)
297 return self._copyValues(model)
/opt/cloudera/parcels/CDH/lib/spark/python/pyspark/ml/wrapper.py in _fit_java(self, dataset)
289 :return: fitted Java model
290 """
--> 291 self._transfer_params_to_java()
292 return self._java_obj.fit(dataset._jdf)
293
/opt/cloudera/parcels/CDH/lib/spark/python/pyspark/ml/wrapper.py in _transfer_params_to_java(self)
125 self._java_obj.set(pair)
126 if self.hasDefault(param):
--> 127 pair = self._make_java_param_pair(param, self._defaultParamMap[param])
128 pair_defaults.append(pair)
129 if len(pair_defaults) > 0:
/opt/cloudera/parcels/CDH/lib/spark/python/pyspark/ml/wrapper.py in _make_java_param_pair(self, param, value)
111 sc = SparkContext._active_spark_context
112 param = self._resolveParam(param)
--> 113 java_param = self._java_obj.getParam(param.name)
114 java_value = _py2java(sc, value)
115 return java_param.w(java_value)
/opt/cloudera/parcels/CDH/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py in __call__(self, *args)
1255 answer = self.gateway_client.send_command(command)
1256 return_value = get_return_value(
-> 1257 answer, self.gateway_client, self.target_id, self.name)
1258
1259 for temp_arg in temp_args:
/opt/cloudera/parcels/CDH/lib/spark/python/pyspark/sql/utils.py in deco(*a, **kw)
61 def deco(*a, **kw):
62 try:
---> 63 return f(*a, **kw)
64 except py4j.protocol.4JJavaError as e:
65 s = e.java_exception.toString()
/opt/cloudera/parcels/CDH/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
326 raise Py4JJavaError(
327 "An error occurred while calling {0}{1}{2}.\n".
--> 328 format(target_id, ".", name), value)
329 else:
330 raise Py4JError(
Py4JJavaError: An error occurred while calling o1298.getParam.
: java.util.NoSuchElementException: Param metric does not exist.
at org.apache.spark.ml.param.Params$$anonfun$getParam$2.apply(params.scala:729)
at org.apache.spark.ml.param.Params$$anonfun$getParam$2.apply(params.scala:729)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.ml.param.Params$class.getParam(params.scala:728)
at org.apache.spark.ml.PipelineStage.getParam(Pipeline.scala:42)
at sun.reflect.GeneratedMethodAccessor15.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
py在这里，我认为这个错误是因为mmlspark python端口无法加载jar，这导致了Py4JJavaError。但我不知道，我已经做了我知道的一切。
回答 2
Stack Overflow用户
回答已采纳
发布于 2020-08-03 17:34:38
最后，我得到了它。关键是将.jar传递给pyFiles，这让我非常惊讶，python可以读取.jar。
bash：
pyspark \
--master yarn \
--conf spark.submit.pyFiles=hdfs://pupuxdc/user/spark/mmlspark_jars/…… .jar \
--conf spark.yarn.dist.jars=hdfs://pupuxdc/user/spark/mmlspark_jars/…… .jarpyspark代码：
spark_builder = (
SparkSession
.builder
.config("spark.port.maxRetries", 100)
.appName(app_name))
spark = spark_builder.getOrCreate()
jar_files = [...]
for i in jar_files:
spark.sparkContext.addPyFile(i)注意，.config('spark.submit.pyFiles=hdfs://pupuxdc/user/spark/mmlspark_jars/…… .jar')不会生效。
Stack Overflow用户
发布于 2020-11-17 01:24:11
我尝试了评论，但我没有足够的声誉，所以对于那些使用HDP的人来说，同样的答案也适用于Mithril。
此外，您不需要将jar文件上传到hdfs。从本地目录读取jar文件也可以达到同样的效果。
bash：
pyspark \
--master yarn \
--py-files /<path>/.jar,/<path>/.jar,/<path>/.jar... \
--jars /<path>/.jar,/<path>/.jar,/<path>/.jar...它也适用于Jupyter Notebook。只要在SparkSession前面加上下面这行就行了。
os.environ['PYSPARK_SUBMIT_ARGS'] = '--py-files /<path>/.jar,/<path>/.jar,/<path>/.jar... --jars /<path>/.jar,/<path>/.jar,/<path>/.jar...'页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/63146931
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