I have a DF like below reading a csv file
val df =
HiveContext.read.format("com.databricks.spark.csv").option("inferSchema",
"true").option("header", "true").load("/data/stg/table2")
val a = df.map(x => (x.getString(0), x.getString(1),
x.getString(2).substring(1).replace(",",
"").toDouble,x.getString(3).substring(1).replace(",", "").toDouble,
x.getString(4).substring(1).replace(",", "").toDouble))
For most rows I am reading from csv file the above mapping works fine.
However, at the bottom of csv there are couple of empty columns as below
[421,02/10/2015,?1,187.50,?237.50,?1,425.00]
[,,,,]
[Net income,,?182,531.25,?14,606.25,?197,137.50]
[,,,,]
[year 2014,,?113,500.00,?0.00,?113,500.00]
[Year 2015,,?69,031.25,?14,606.25,?83,637.50]
However, I get
a.collect.foreach(println)
16/02/20 08:31:53 ERROR Executor: Exception in task 0.0 in stage 123.0 (TID
161)
java.lang.StringIndexOutOfBoundsException: String index out of range: -1
I suspect the cause is substring operation say x.getString(2).substring(1)
on empty values that according to web will throw this type of error
The easiest solution seems to be to check whether x above is not null and do
the substring operation. Can this be done without using a UDF?
Thanks
Dr Mich Talebzadeh
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