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Hello,
I am trying to invert a 5000 x 5000 matrix at Google DataProc, (code below) the code already works for a 1000 x 1000 matrix in my local pc.
However, it seems something is happening when calling the inverse method, the job fails and I get this in the log : Any ideas ?
LOG:
fourth fifth 17/09/14 14:32:15 INFO org.apache.hadoop.mapred.FileInputFormat: Total input paths to process : 1 sixth septh
[Stage 1:> (0 + 2) / 2] [Stage 1:=============================> (1 + 1) / 2]
17/09/14 14:32:28 INFO com.github.fommil.jni.JniLoader: successfully loaded /tmp/jniloader3386225062470282445netlib-native_system-linux-x86_64.so 17/09/14 14:32:29 INFO com.github.fommil.jni.JniLoader: already loaded netlib-native_system-linux-x86_64.so
CODE def main(args: Array[String]) { System.out.println("first") val conf = new SparkConf() System.out.println("second") conf.set("spark.default.parallelism","8") System.out.println("third") val sc = new SparkContext(conf) System.out.println("fourth") val SIZE = 5000 System.out.println("fifth") val ma = sc.textFile("gs://sparkfilesjsaray/matr_5000.csv") .map(line => line.split(",").map(_.toDouble)).zipWithIndex().map(line=> (line._2, BDV(line._1)) ) System.out.println("sixth") val matrix = new DenseVecMatrix(ma,SIZE,SIZE) System.out.println("septh") val inverse = matrix.inverse() System.out.println("eight") inverse.saveToFileSystem("gs://sparkfilesjsaray/output5000.csv") System.out.println("nine") System.out.println("Done") System.out.println("first") }
The text was updated successfully, but these errors were encountered:
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Hello,
I am trying to invert a 5000 x 5000 matrix at Google DataProc, (code below) the code already works for a 1000 x 1000 matrix in my local pc.
However, it seems something is happening when calling the inverse method, the job fails and I get this in the log :
Any ideas ?
LOG:
fourth
fifth
17/09/14 14:32:15 INFO org.apache.hadoop.mapred.FileInputFormat: Total input paths to process : 1
sixth
septh
[Stage 1:> (0 + 2) / 2]
[Stage 1:=============================> (1 + 1) / 2]
17/09/14 14:32:28 INFO com.github.fommil.jni.JniLoader: successfully loaded /tmp/jniloader3386225062470282445netlib-native_system-linux-x86_64.so
17/09/14 14:32:29 INFO com.github.fommil.jni.JniLoader: already loaded netlib-native_system-linux-x86_64.so
CODE
def main(args: Array[String]) {
System.out.println("first")
val conf = new SparkConf()
System.out.println("second")
conf.set("spark.default.parallelism","8")
System.out.println("third")
val sc = new SparkContext(conf)
System.out.println("fourth")
val SIZE = 5000
System.out.println("fifth")
val ma = sc.textFile("gs://sparkfilesjsaray/matr_5000.csv")
.map(line => line.split(",").map(_.toDouble)).zipWithIndex().map(line=> (line._2, BDV(line._1)) )
System.out.println("sixth")
val matrix = new DenseVecMatrix(ma,SIZE,SIZE)
System.out.println("septh")
val inverse = matrix.inverse()
System.out.println("eight")
inverse.saveToFileSystem("gs://sparkfilesjsaray/output5000.csv")
System.out.println("nine")
System.out.println("Done")
System.out.println("first")
}
The text was updated successfully, but these errors were encountered: