【问题标题】:Error during connection between pyspark and Elasticsearchpyspark 和 Elasticsearch 连接时出错
【发布时间】:2020-03-25 02:19:25
【问题描述】:

我在 Jupyter 中有这段代码

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

效果很好,输出是:

SparkSession - hive

SparkContext

Spark UI

Version
    v2.4.5
Master
    local[2]
AppName
    Reader

我想创建一个从 pyspark 到 Elasticsearch 的阅读器(基于 localhost:9200),所以我尝试了:

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")
)

但是当我尝试这个时

sysmon_df = (es_reader.load("winlogbeat"))

我有这个错误...为什么?

>>---------------------------------------------------------------------------
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

【问题讨论】:

    标签: apache-spark elasticsearch pyspark


    【解决方案1】:

    错误是说它不知道该怎么做

    format("org.elasticsearch.spark.sql")
    

    Spark 不会自动下载和设置您的外部依赖项!

    查找有关将PYSPARK_SUBMIT_ARGS 包含在--packages 值中的各种示例和教程

    【讨论】:

    • 感谢您回答我...那么您有什么建议吗?我已经下载并安装了 spark-hadoop 并将其导入到 jupyter notebook 中...我应该使用 spark-submit shell 吗?
    • 1) 您不需要 Hadoop。 2)您是否找到列出我提到的变量的任何教程?顺便说一句,Spark 仍然需要 Java 8
    • 有点...我发现了一些关于加载 jar 依赖项的信息(所以所需的 jar 是 spark.sql?)。我已经 Java 了
    • Spark 包含 spark.sql 本身。它没有要通过 os.environ["PYSPARK_SUBMIT_ARGS"] 导入的 org.elasticsearch.*
    • 是的,我也试过os.environ['PYSPARK_SUBMIT_ARGS'] = '--jars elasticsearch-hadoop-6.1.1/dist/elasticsearch-spark-20_2.11-6.1.1.jar pyspark-shell' ,但没有
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