Hyukjin Kwon created SPARK-13137:
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Summary: NullPoingException in schema inference for CSV when the
first line is empty
Key: SPARK-13137
URL: https://issues.apache.org/jira/browse/SPARK-13137
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.0.0
Reporter: Hyukjin Kwon
When the first line is empty and it tries to infer schema, this emits the
exception below:
{code}
java.lang.NullPointerException was thrown.
java.lang.NullPointerException
at
scala.collection.mutable.ArrayOps$ofRef$.length$extension(ArrayOps.scala:114)
at scala.collection.mutable.ArrayOps$ofRef.length(ArrayOps.scala:114)
at
scala.collection.IndexedSeqOptimized$class.zipWithIndex(IndexedSeqOptimized.scala:93)
at
scala.collection.mutable.ArrayOps$ofRef.zipWithIndex(ArrayOps.scala:108)
at
org.apache.spark.sql.execution.datasources.csv.CSVRelation.inferSchema(CSVRelation.scala:137)
at
org.apache.spark.sql.execution.datasources.csv.CSVRelation.dataSchema$lzycompute(CSVRelation.scala:50)
at
org.apache.spark.sql.execution.datasources.csv.CSVRelation.dataSchema(CSVRelation.scala:48)
at
org.apache.spark.sql.sources.HadoopFsRelation.schema$lzycompute(interfaces.scala:666)
at
org.apache.spark.sql.sources.HadoopFsRelation.schema(interfaces.scala:665)
at
org.apache.spark.sql.execution.datasources.LogicalRelation.<init>(LogicalRelation.scala:39)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:115)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:125)
{code}
This looks because it fails to skip the empty lines in {{findFirstLine()}} at
{{CSVRelation}}.
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