Reputation: 2692
I think I am seeing a bug in spark where mode 'overwrite' is not respected, rather an exception is thrown on an attempt to do saveAsTable into a table that already exists (using mode 'overwrite').
Below is a little scriptlet that reproduces the issue. The last statement results in a stack trace reading:
org.apache.spark.sql.AnalysisException: Table `example` already exists.;
Any advice much appreciated.
spark.sql("drop table if exists example ").show()
case class Person(first: String, last: String, age: Integer)
val df = List(
Person("joe", "x", 9),
Person("fred", "z", 9)).toDF()
df.write.option("mode","overwrite").saveAsTable("example")
val recover1 = spark.read.table("example")
recover1.show()
val df3 = List(
Person("mouse", "x", 9),
Person("golf", "z", 9)).toDF()
df3.write.
option("mode","overwrite").saveAsTable("example")
val recover4 = spark.read.table("example")
recover4.show()
Upvotes: 16
Views: 55405
Reputation: 1704
saveAsTable
doesn't check extra options, use mode
directly
df3.write.mode(SaveMode.Overwrite).saveAsTable("example")
or
df3.write.mode("overwrite").saveAsTable("example")
Upvotes: 29