У меня есть этот код в Jupyter
from pandas.io.json import json_normalize
import json
import matplotlib.pyplot as plt
from pyspark.sql import SparkSession
from pyspark import SparkContext
from pyspark import SQLContext
from elasticsearch import Elasticsearch
import py4j
spark = SparkSession.builder \
.appName("Reader") \
.master("local[2]") \
.enableHiveSupport() \
.getOrCreate()
spark
Он работает хорошо, вывод:
SparkSession - hive
SparkContext
Spark UI
Version
v2.4.5
Master
local[2]
AppName
Reader
Я хотел бы создать Reader из pyspark в Elasticsearch (основан на localhost : 9200), поэтому я попытался:
es_reader = (spark.read
.format("org.elasticsearch.spark.sql")
.option("inferSchema", "true")
.option("es.read.field.as.array.include", "tags")
.option("es.nodes","127.0.0.1:9200")
.option("es.net.http.auth.user","elastic")
)
Но когда я пытаюсь это
sysmon_df = (es_reader.load("winlogbeat"))
У меня появляется эта ошибка ... Почему?
>>---------------------------------------------------------------------------
Py4JJavaError Traceback (most recent call last)
<ipython-input-4-ed6c79458d81> in <module>
----> 1 sysmon_df = (es_reader.load("winlogbeat"))
~/Scaricati/spark-2.4.5-bin-hadoop2.7/python/pyspark/sql/readwriter.py in load(self, path, format, schema, **options)
164 self.options(**options)
165 if isinstance(path, basestring):
--> 166 return self._df(self._jreader.load(path))
167 elif path is not None:
168 if type(path) != list:
~/.local/lib/python3.6/site-packages/py4j/java_gateway.py in __call__(self, *args)
1303 answer = self.gateway_client.send_command(command)
1304 return_value = get_return_value(
-> 1305 answer, self.gateway_client, self.target_id, self.name)
1306
1307 for temp_arg in temp_args:
~/Scaricati/spark-2.4.5-bin-hadoop2.7/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.Py4JJavaError as e:
65 s = e.java_exception.toString()
~/.local/lib/python3.6/site-packages/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 o53.load.
: java.lang.ClassNotFoundException: Failed to find data source: org.elasticsearch.spark.sql. Please find packages at http://spark.apache.org/third-party-projects.html
at org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:657)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:194)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:566)
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.base/java.lang.Thread.run(Thread.java:834)
Caused by: java.lang.ClassNotFoundException: org.elasticsearch.spark.sql.DefaultSource
at java.base/java.net.URLClassLoader.findClass(URLClassLoader.java:471)
at java.base/java.lang.ClassLoader.loadClass(ClassLoader.java:588)
at java.base/java.lang.ClassLoader.loadClass(ClassLoader.java:521)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$20$$anonfun$apply$12.apply(DataSource.scala:634)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$20$$anonfun$apply$12.apply(DataSource.scala:634)
at scala.util.Try$.apply(Try.scala:192)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$20.apply(DataSource.scala:634)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$20.apply(DataSource.scala:634)
at scala.util.Try.orElse(Try.scala:84)
at org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:634)
... 13 more