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我需要在foreach循環內用各種SELECT語句迭代DF的內容,將輸出寫入文本文件。 foreach循環內的任何SELECT語句都會返回NullPointerException。我無法明白這是爲什麼。 「for」循環中的SELECT語句不會返回此錯誤。Spark scala:在foreach循環中返回SELECT返回java.lang.NullPointerException
這是測試案例。
// step 1 of 6: create the table and load two rows
vc.sql(s"""CREATE TEMPORARY TABLE TEST1 (
c1 varchar(4)
,username varchar(5)
,numeric integer) USING com.databricks.spark.csv OPTIONS (path "/tmp/test.txt")""")
// step 2 of 6: confirm that the data is queryable
vc.sql("SELECT * FROM TEST1").show()
+----+--------+-------+
| c1|username|numeric|
+----+--------+-------+
|col1| USER1| 0|
|col1| USER2| 1|
+----+--------+-------+
// Step 3 of 6: create a dataframe for the table
var df=vc.sql("""SELECT * FROM TEST1""")
// step 4 of 6: create a second dataframe that we will use as a loop iterator
var df_usernames=vc.sql(s"""SELECT DISTINCT username FROM TEST1 """)
// step 5 of 6: first foreach loop works ok:
df_usernames.foreach(t =>
{
println("(The First foreach works ok: loop iterator t is " + t(0).toString())
}
)
(The First foreach works ok: loop iterator t is USER1
(The First foreach works ok: loop iterator t is USER2
// step 6 of 6: second foreach with any embedded SQL returns an error
df_usernames.foreach(t =>
{
println("(The second foreach dies: loop iterator t is " + t(0).toString())
vc.sql("""SELECT c1 FROM TEST1""").show()
}
)
The second foreach dies: loop iterator t is USER1
org.apache.spark.SparkException: Job aborted due to stage failure: Task 158 in stage 94.0 failed 1 times, most recent failure: Lost task 158.0 in stage 94.0 (TID 3525, localhost): java.lang.NullPointerException
at org.apache.spark.sql.SQLContext.parseSql(SQLContext.scala:195)
這是不一樣的foreach思想爲OP是使用一個,它是不是一個好的做法,以收集不知道基數和數據的大小無法啓動SQL查詢裏面的foreach。如果你可以說每個例子有2M個用戶,它將不會擴展。 – eliasah
有沒有辦法實現這一點,而不使用收集?對於RDD中的每個「行」,我需要與現有數據(我可以從SparkSession.sql加載)進行比較。 – KangarooWest