Hi folks,
I am suddenly seeing :
Error:scalac: bad symbolic reference. A signature in Logging.class refers
to type Logger
in package org.slf4j which is not available.
It may be completely missing from the current classpath, or the version on
the classpath might be incompatible with the version
Hi Folks,
I am also getting similar issue:
(df.groupBy("email").agg(last("user_id") as
"user_id").select("user_id").count,df.groupBy("email").agg(last("user_id")
as "user_id").select("user_id").distinct.count)
When run on one computer it gives: (15123144,15123144)
When run on cluster it gives:
The relevant error lines are:
Caused by: parquet.io.ParquetDecodingException: Can't read value in
column [roll_key] BINARY at value 19600 out of 4814, 19600 out of
19600 in currentPage. repetition level: 0, definition level: 1
Caused by: org.apache.spark.SparkException: Job aborted due to stage
Hello folks,
I would like to contribute code to enrich DataFrame writer api for JDBC to
cover "Update table" feature based on some field name/key passed as LIST of
Strings.
Use Case:
1. df.write.mode(*"Update"*).jdbc(connectionString, "table_name"
,connectionProperties, *keys*)
Or
2.
