在Spark 2.x的JDBC中设置fetchSize? [英] set fetchSize in JDBC in Spark 2.x?

问题描述

fetchSize错误:

fetchSize error:

TypeError:jdbc()得到了意外的关键字参数'fetchSize'

TypeError: jdbc() got an unexpected keyword argument 'fetchSize'

我尝试以

mydf = spark.read.jdbc(url, table, numPartitions=20, column=partitionColumn, lowerBound=0, upperBound=1000, fetchSize = 10000, properties=properties)

推荐答案

我不确定性能，但请尝试以下代码.这不会引发错误

I am not sure of performance but try this below code. this will not throw error

df = (spark.read.format("jdbc").option("url", url)
  .option("dbtable", "mytable") 
  .option("user", user) .option("password", password) 
  .option("numPartitions", "100").option("fetchsize","10000")
  .option("partitionColumn", "id")
  .option("lowerBound", "1").option("upperBound","1000000").load())

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