spark-shell错误，退回到在SPARK_HOME下上传库

Question

我正在尝试连接spark-shell amazon hadoop，但我一直在给出以下错误，不知道如何修复它或配置缺失的内容。

spark.yarn.jars, spark.yarn.archive

spark-shell --jars /usr/share/aws/emr/ddb/lib/emr-ddb-hadoop.jar
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel).
16/08/12 07:47:26 WARN Utils: Service 'SparkUI' could not bind on port 4040. Attempting port 4041.
16/08/12 07:47:28 WARN Client: Neither spark.yarn.jars nor spark.yarn.archive is set, falling back to uploading libraries under SPARK_HOME.

谢谢! !

Error1

我试图运行一个SQL查询，一些完全简单的:

val sqlDF = spark.sql("SELECT col1 FROM tabl1 limit 10")
sqlDF.show()

警告YarnScheduler:初始作业未接受任何资源;检查您的集群UI，以确保worker已注册并且有足够的资源

Error2

然后我试着运行一个脚本scala，一些简单的收集:https://blogs.aws.amazon.com/bigdata/post/Tx2D93GZRHU3TES/Using-Spark-SQL-for-ETL

import org.apache.hadoop.io.Text;
import org.apache.hadoop.dynamodb.DynamoDBItemWritable
import com.amazonaws.services.dynamodbv2.model.AttributeValue
import org.apache.hadoop.dynamodb.read.DynamoDBInputFormat
import org.apache.hadoop.dynamodb.write.DynamoDBOutputFormat
import org.apache.hadoop.mapred.JobConf
import org.apache.hadoop.io.LongWritable
import java.util.HashMap

var ddbConf = new JobConf(sc.hadoopConfiguration)
ddbConf.set("dynamodb.output.tableName", "tableDynamoDB")
ddbConf.set("dynamodb.throughput.write.percent", "0.5")
ddbConf.set("mapred.input.format.class", "org.apache.hadoop.dynamodb.read.DynamoDBInputFormat")
ddbConf.set("mapred.output.format.class", "org.apache.hadoop.dynamodb.write.DynamoDBOutputFormat")

var genreRatingsCount = sqlContext.sql("SELECT col1 FROM table1 LIMIT 1")
var ddbInsertFormattedRDD = genreRatingsCount.map(a => {
var ddbMap = new HashMap[String, AttributeValue]()
var col1 = new AttributeValue()
col1.setS(a.get(0).toString)
ddbMap.put("col1", col1)
var item = new DynamoDBItemWritable()
item.setItem(ddbMap)
(new Text(""), item)
}
)
ddbInsertFormattedRDD.saveAsHadoopDataset(ddbConf)

scala.reflect.internal.Symbols$CyclicReference:涉及对象InterfaceAudience的非法循环引用在scala.reflect.internal.Symbols象征anonfun info 3.美元美元美元申请(Symbols.scala: 1502)在scala.reflect.internal.Symbols象征anonfun info 3.美元美元美元申请(Symbols.scala: 1500)在scala.Function0 class.apply mcV sp美元美元(Function0.scala: 34)

Answer 1

看起来sparkUI未启动，尝试启动spark shell并检查sparkUI localhost:4040正常运行