Trying sftp://sftp.access.redhat.com Attempting upload to Red Hat Secure FTP Unable to retrieve Red Hat auth token using provided credentials. Will try anonymous. User 'xAnrDdnP'used for anonymous upload. Please inform your support engineer so they may retrieve the data. Uploaded archive ...
Unable to print to printer in remote office Unable to publish applications Unable to Publish RemoteApp Program Unable to RDP a Hyper-V server after applying TLS 1.2 Cipher suites Unable to RDP a server WIN2012 R2.. but I can ping the server with name & ip address Unable to RDP the server...
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In this post, we discussed how to read data from Apache Kafka in a Spark Streaming application. We covered the problem statement, solution approach, logic, code implementation, explanation, and key considerations for reading data from Kafka in Spark Streaming. Apache Kafka and Spark Streaming toget...
While working with RDDs, avoid using groupByKeys. GroupBy keys tend to keep all values for a given key in memory. Keys having a very large value list that cannot be kept in memory will result in OOMs as they aren’t spilled to disk. One solution is to replace groupByKeys with reduceB...
println("Printing newRdd: ") newRdd.foreach(x=>print(x+" ")) Output: In the above code, we have created an RDD(myRdd) using a sequence and have passed numSlices as 10. Then, we have called the distinct method which gives the distinct elements of in the RDD. As expected the outp...
You can grab a copy withcurl. For example: $ curl --location --silent --fail --show-error --output ~/Downloads/ust.csv 'https://data.ct.gov/api/views/utni-rddb/rows.csv?accessType=DOWNLOAD' $ wc -l ~/Downloads/ust.csv
I already have a DF that I want to save in orc format. in your solution it is expecting a RDD. when I tried, val df = sqlContext.createDataFrame(results.rdd) it gave me an error saying, [A <: Product](rdd: org.apache.spark.rdd.RDD[A])(implicit evidence$1: reflect.runtime....
*Expression<EqualTo>(value#0 = 1) will run on GPU !<RDDScanExec>cannotrunonGPUbecauseGPUdoesnotcurrentlysupporttheoperatorclassorg.apache.spark.sql.execution.RDDScanExec <spanstyle=“font-weight: 400;”> @Expression<AttributeReference>value#0 could run on GPU</span> ...
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