).name)
}
}
val seq = Seq(vs: _*)
val record = Row.fromSeq(seq)
record
})(Encoders.javaSerialization(Row.getClass))
.toDF(arr: _*)
I get a error
type mismatch;
found : Class[?0] where type ?0 <: org.apache.spark.sql.Row.type
required: Class[org.apache.spar
resolve 'named_struct()' due to data type mismatch: input to
function named_struct requires at least one argument;;
'SerializeFromObject [staticinvoke(class
org.apache.spark.unsafe.types.UTF8String, StringType, fromString,
assertnotnull(input[0,
oracle.insight.spark.event_processor
"df"+fileName
>>df =
>> sqlContext.read.format("com.databricks.spark.csv").option("header",
>> "true").option("inferSchema", "true").load(filePathName)
>> }
>
>
> getting below error
>
>> :35
eStatus.getPath().getName().toLowerCase()
>var df = "df"+fileName
>df =
> sqlContext.read.format("com.databricks.spark.csv").option("header",
> "true").option("inferSchema", "true").load(filePathName)
> }
getting
pe schema = new StructType(new StructField[] { id, label,
words });
DataFrame ret = sqlContext.createDataFrame(rdd, schema);
return ret;
}
From: Andrew Davidson
Date: Wednesday, January 13, 2016 at 2:52 PM
To: "user @spark"
Subject: trouble calculati
("\ntransformed df printSchema()");
ret.printSchema();
ret.show(false);
return ret;
}
org.apache.spark.sql.AnalysisException: cannot resolve '(tf * idf)' due to
data type mismatch: '(tf * idf)' requires numeric type, not v
n if I’m sure that the class type is right?
>
>
>
> Below is the sample code I run in spark 1.0.2 console, at the end of line,
> there is an error type mis
Hi All,
Could someone shed a light to why when adding element into MutableList can
result in type mistmatch, even if I'm sure that the class type is right?
Below is the sample code I run in spark 1.0.2 console, at the end of line,
there is an error type mismatch:
Welco
Thank you Aaron for pointing out problem. This only happens when I run this
code in spark-shell but not when i submit the job.
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/error-type-mismatch-while-Union-tp13547p13677.html
Sent from the Apache Spark User
n context:
> http://apache-spark-user-list.1001560.n3.nabble.com/error-type-mismatch-while-Union-tp13547p13618.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
> -
> To unsubscribe, e-mail
I am using Spark version 1.0.2
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/error-type-mismatch-while-Union-tp13547p13618.html
Sent from the Apache Spark User List mailing list archive at Nabble.com
Which version are you using -- I can reproduce your issue w/ 0.9.2 but not
with 1.0.1...so my guess is that it's a bug and the fix hasn't been
backported... No idea on a workaround though..
On Fri, Sep 5, 2014 at 7:58 AM, Dhimant wrote:
> Hi,
> I am getting type mismatch e
Hi,
I am getting type mismatch error while union operation.
Can someone suggest solution ?
/ case class MyNumber(no: Int, secondVal: String) extends Serializable
with Ordered[MyNumber] {
override def toString(): String = this.no.toString + " " +
this.secondVal
override d
adcast_0 stored as
> values to memory (estimated size 175.4 KB, free 294.7 MB)
> sourceFile: org.apache.spark.rdd.RDD[String] = MappedRDD[1] at textFile at
> :12
>
>
> /scala> logRecordRdd = sourceFile.map(line => new LogRecrod(line))/
> /:18: error: type mismatch;
>
/09/04 12:08:28 INFO storage.MemoryStore: Block broadcast_0 stored as
values to memory (estimated size 175.4 KB, free 294.7 MB)
sourceFile: org.apache.spark.rdd.RDD[String] = MappedRDD[1] at textFile at
:12
/scala> logRecordRdd = sourceFile.map(line => new LogRecrod(line))/
/:18: error: type mism
actualCounters1 += new VectorNew1(Array(1,1))
//}
})
I am receiving the following error
Error: type mismatch;
Found : VectorNew1
Required : vectorNew1
actualCounters1 += new VectorNew1(Array(1,1))
Could someone help me with this?
Thank You
Vinay
16 matches
Mail list logo
