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python - 数据框内部连接中的 Pyspark awaitResult 错误

问题描述

在 docker 容器内运行独立 spark-2.3.0-bin-hadoop2.7

内部联接

df3 = df1.join(df2, df1.id == df2.id, 'inner')

df3 schema: Dataframe[id:bigint, name:string, age: int]

执行df3.show(5)时出现以下错误

Traceback (most recent call last):   File "<stdin>", line 1, in <module>   File "/usr/apache/spark-2.3.0-bin-hadoop2.7/python/pyspark/sql/dataframe.py", line 466, in collect
    port = self._jdf.collectToPython()   File "/usr/local/lib/python3.6/dist-packages/py4j/java_gateway.py", line 1257, in __call__
    answer, self.gateway_client, self.target_id, self.name)   File "/usr/apache/spark-2.3.0-bin-hadoop2.7/python/pyspark/sql/utils.py", line 63, in deco
    return f(*a, **kw)   File "/usr/local/lib/python3.6/dist-packages/py4j/protocol.py", line 328, in get_return_value
    format(target_id, ".", name), value) py4j.protocol.Py4JJavaError: An error occurred while calling o43.collectToPython. : org.apache.spark.SparkException: Exception thrown in awaitResult:
        at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:205)
        at org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.doExecuteBroadcast(BroadcastExchangeExec.scala:136)

根据这个建议尝试将广播超时设置为-1 ，但得到了同样的错误

conf = SparkConf().set("spark.sql.broadcastTimeout","-1")

标签： pythonapache-sparkpysparkapache-spark-sql

解决方案

我在 Spark 2.3 中使用了不兼容的 JRE 版本。

在 Docker Image 中使用 openjdk-8-jre 更新 JRE 后错误得到解决

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