Question

我尝试在Debian 9上使用Zeppelin 0.7.2和Spark 2.1.1进行基本回归运行。两个zeppelin都安装了＃34;在/ usr / local /中表示/ usr / local / zeppelin /和/ usr / local / spark。 Zeppelin也知道正确的SPARK_HOME。首先我加载数据：

%spark.pyspark
from sqlalchemy import create_engine #sql query
import pandas as pd #sql query
from pyspark import SparkContext #Spark DataFrame
from pyspark.sql import SQLContext #Spark DataFrame

# database connection and sql query
pdf = pd.read_sql("select col1, col2, col3 from table", create_engine('mysql+mysqldb://user:pass@host:3306/db').connect())

print(pdf.size) # size of pandas dataFrame

# convert pandas dataFrame into spark dataFrame
sdf = SQLContext(SparkContext.getOrCreate()).createDataFrame(pdf)

sdf.printSchema()# what does the spark dataFrame look like?

很好，它有效，我得到了46977行和三个cols的输出：

46977
root
 |-- col1: double (nullable = true)
 |-- col2: double (nullable = true)
 |-- col3: date (nullable = true)

好的，现在我想做回归：

%spark.pyspark
# do a linear regression with sparks ml libs
# https://community.intersystems.com/post/machine-learning-spark-and-cach%C3%A9
from pyspark.ml.regression import LinearRegression
from pyspark.ml.feature import VectorAssembler

# choose several inputCols and transform the "Features" column(s) into the correct vector format
vectorAssembler = VectorAssembler(inputCols=["col1"], outputCol="features")
data=vectorAssembler.transform(sdf)
print(data)

# Split the data into 70% training and 30% test sets.
trainingData,testData = data.randomSplit([0.7, 0.3], 0.0)
print(trainingData)

# Configure the model.
lr = LinearRegression().setFeaturesCol("features").setLabelCol("col2").setMaxIter(10)

## Train the model using the training data.
lrm = lr.fit(trainingData)

## Run the test data through the model and display its predictions for PetalLength.
#predictions = lrm.transform(testData)
#predictions.show()

但在执行lr.fit(trainingData)时，我在控制台（以及zeppelin的日志文件）中收到错误。错误似乎是在启动spark时：无法运行程序＆＃34; / usr / bin /＆＃34;：error = 13，Keine Berechtigung 。我想知道应该在/ usr / bin /中启动什么，因为我只使用路径/ usr / local /。

Traceback (most recent call last):
  File "/tmp/zeppelin_pyspark-4001144784380663394.py", line 367, in <module>
    raise Exception(traceback.format_exc())
Exception: Traceback (most recent call last):
  File "/tmp/zeppelin_pyspark-4001144784380663394.py", line 360, in <module>
    exec(code, _zcUserQueryNameSpace)
  File "<stdin>", line 9, in <module>
  File "/usr/local/spark/python/pyspark/ml/base.py", line 64, in fit
    return self._fit(dataset)
  File "/usr/local/spark/python/pyspark/ml/wrapper.py", line 236, in _fit
    java_model = self._fit_java(dataset)
  File "/usr/local/spark/python/pyspark/ml/wrapper.py", line 233, in _fit_java
    return self._java_obj.fit(dataset._jdf)
  File "/usr/local/spark/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in __call__
    answer, self.gateway_client, self.target_id, self.name)
  File "/usr/local/spark/python/pyspark/sql/utils.py", line 63, in deco
    return f(*a, **kw)
  File "/usr/local/spark/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value
    format(target_id, ".", name), value)
Py4JJavaError: An error occurred while calling o70.fit.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost, executor driver): **java.io.IOException: Cannot run program "/usr/bin/": error=13, Keine Berechtigung**
    at java.lang.ProcessBuilder.start(ProcessBuilder.java:1048)
    at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:163)
    at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:89)
    at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:65)
    at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:116)
    at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:128)
    at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)

Answer 1

这是Zeppelins conf/zeppelin-env.sh中的配置错误。在那里，我有以下行未注释导致错误，我现在评论该行，它的工作原理：

#export PYSPARK_PYTHON=/usr/bin/   # path to the python command. must be the same path on the driver(Zeppelin) and all workers.

所以问题是没有正确设置PYSPARK_PYTHON的路径，现在它使用默认的python二进制文件。我通过在Zeppelin基目录中执行/usr/bin/并查看文件来查找字符串grep -R "/usr/bin/"，从而找到了解决方案。

Zeppelin / Spark：org.apache.spark.SparkException：无法运行程序＆＃34; / usr / bin /＆＃34;：error = 13，没有权限

1 个答案: