1. Es-Hadoop異常：

org.elasticsearch.hadoop.EsHadoopException: Could not write all entries [615/300864] (maybe ES was overloaded?). Bailing out...
    at org.elasticsearch.hadoop.rest.RestRepository.flush(RestRepository.java:235)
    at org.elasticsearch.hadoop.rest.RestRepository.doWriteToIndex(RestRepository.java:
 
186)
    at org.elasticsearch.hadoop.rest.RestRepository.writeToIndex(RestRepository.java:149)
    at org.elasticsearch.spark.rdd.EsRDDWriter.write(EsRDDWriter.scala:49)
    at org.elasticsearch.spark.rdd.EsSpark$$anonfun$saveToEs$1.apply(EsSpark.scala:67)
    at org.elasticsearch.spark.rdd.EsSpark$$anonfun$saveToEs$
 
1.apply(EsSpark.scala:67)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
    at org.apache.spark.scheduler.Task.run(Task.scala:88)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:
 
1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)

異常顯示elasticsearch的負載過高，處理方案具體如下(參考)：

a. 增加Es重試次數及等待時間： es.batch.write.retry.count 和 es.batch.write.retry.wait

b. 減少hadoop或spark的任務數或作業數

c. 減少文檔/大小的數量（這是每個任務的方式 - 因此具有100個任務的作業將導致每個連接100x（docs））。

工作采坑劄記：3. Spark中es-hadoop插件異常解決