如何在scala中设置spark.sql.pivotMaxValues? [英] how to set spark.sql.pivotMaxValues in scala?

问题描述

这可能是一个愚蠢的问题，但是当尝试在数据块中进行pivit时如何设置spark.sql.pivotMaxValues?我收到此巨大错误' org.apache.spark.sql.AnalysisException:枢轴列census_block_group具有超过10000个不同的值，这可能表示错误.如果打算这样做，请将spark.sql.pivotMaxValues至少设置为枢轴列的不同值的数量.; 这样任何人都知道如何解决此问题?

this may be a dumb question but how do i set spark.sql.pivotMaxValues when trying to pivit in databricks ? im getting this huge error 'org.apache.spark.sql.AnalysisException: The pivot column census_block_group has more than 10000 distinct values, this could indicate an error. If this was intended, set spark.sql.pivotMaxValues to at least the number of distinct values of the pivot column.; so anybody know how do i fix this issue ?

import org.apache.spark.sql.SQLContext

 val df = censusBlocks.toDF
df.groupBy("B08007e1").pivot("census_block_group").sum("B08008e4")
df.show()

推荐答案

您可以使用

spark.conf.set("spark.sql.pivotMaxValues", 10000)

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