I've created a dataframe which contains 3 columns : zip, lat, lng
I want to select the lat and lng values where zip = 00650
So, I tried using :
sqlContext.sql("select lat,lng from census where zip=00650").show()
But it is returning ArrayOutOfBound Exception because it does not have any values in it. If I remove the where clause it is running fine.
Can someone please explain what I am doing wrong ?
dataframe schema:
root
|-- zip: string (nullable = true)
|-- lat: string (nullable = true)
|-- lng: string (nullable = true)
First 10 rows are :
+-----+---------+-----------+
| zip| lat| lng|
+-----+---------+-----------+
|00601|18.180555| -66.749961|
|00602|18.361945| -67.175597|
|00603|18.455183| -67.119887|
|00606|18.158345| -66.932911|
|00610|18.295366| -67.125135|
|00612|18.402253| -66.711397|
|00616|18.420412| -66.671979|
|00617|18.445147| -66.559696|
|00622|17.991245| -67.153993|
|00623|18.083361| -67.153897|
|00624|18.064919| -66.716683|
|00627|18.412600| -66.863926|
|00631|18.190607| -66.832041|
|00637|18.076713| -66.947389|
|00638|18.295913| -66.515588|
|00641|18.263085| -66.712985|
|00646|18.433150| -66.285875|
|00647|17.963613| -66.947127|
|00650|18.349416| -66.578079|
As you can see in your schema zip
is of type String
, so your query should be something like this
sqlContext.sql("select lat, lng from census where zip = '00650'").show()
If you are using Spark 2
then you can do this:
import sparkSession.sqlContext.implicits._
val dataFrame = Seq(("10.023", "75.0125", "00650"),("12.0246", "76.4586", "00650"), ("10.023", "75.0125", "00651")).toDF("lat","lng", "zip")
dataFrame.printSchema()
dataFrame.select("*").where(dataFrame("zip") === "00650").show()
dataFrame.registerTempTable("census")
sparkSession.sqlContext.sql("SELECT lat, lng FROM census WHERE zip = '00650'").show()
output:
root
|-- lat: string (nullable = true)
|-- lng: string (nullable = true)
|-- zip: string (nullable = true)
+-------+-------+-----+
| lat| lng| zip|
+-------+-------+-----+
| 10.023|75.0125|00650|
|12.0246|76.4586|00650|
+-------+-------+-----+
+-------+-------+
| lat| lng|
+-------+-------+
| 10.023|75.0125|
|12.0246|76.4586|
+-------+-------+
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