I have a cluster which running CDH5.1.0 with Spark component.
Because the default version of Spark from CDH5.1.0 is 1.0.0 while I want to
use some features of Spark 1.2.0, I compiled another Spark with Maven.
But when I run into Spark-shell and created a new SparkContext, I met the
below error:
15
OK, I have known that I could use jdbc connector to create DataFrame with
this command:
val jdbcDF = sqlContext.load("jdbc", Map("url" ->
"jdbc:mysql://localhost:3306/video_rcmd?user=root&password=123456",
"dbtable" -> "video"))
But I got this error:
java.sql.SQLException: No suitable driver fo
OK，I found what the problem is: It couldn't work with mysql-connector-5.0.8.
I updated the connector version to 5.1.34 and it worked.
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Sent from the Apache Spar
finished a distributed project in hadoop streaming and it worked fine with
using memcached storage during mapping. Actually, it's a python project.
Now I want to move it to Spark. But when I called the memcached library, two
errors was found during computing. (Both)
1. File "memcache.py", line 414
tried to connect memcached in map with xmemcached lib, faild:
net.rubyeye.xmemcached.exception.MemcachedException: There is no available
connection at this moment
is there anybody succeed to use memcached?
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