See Reference section in this post for links for more information. At the time of this writing, there are three different S3 options.
Note how this example is using s3n instead of s3 in setting security credentials and protocol specification in textFile call. MyRDD: .RDD = MapPartitionsRDD at textFile at :21 Scala> val myRDD = sc.textFile("s3n://supergloospark/baby_names.csv") Scala> sc.t("fs.s3n.awsSecretAccessKey", "LmuKE77fVLXJfasdfasdfxK2vj1nfA0Bp") File on S3 was created from Third Party – See Reference Section below for specifics on how the file was created scala> sc.t("fs.s3n.awsAccessKeyId", "AKIAJJRUVasdfasdf").Apache Spark with Amazon S3 Scala Examples Example Load file from S3 Written By Third Party Amazon S3 tool If you run into any issues, just leave a comment at the bottom of this page and I’ll try to help you out.
#Spark url extractor python driver#
How were the files were created on S3? Were they written from Spark or Hadoop to S3 or some other 3rd party tool?Īll these examples are based on Scala console or pyspark, but they may be translated to different driver programs relatively easily.The version of Spark, because of the version of accompanying Hadoop libraries matters.
The options depend on a few factors such as: To begin, you should know there are multiple ways to access S3 based files. Examples of text file interaction on Amazon S3 will be shown from both Scala and Python using the spark-shell from Scala or ipython notebook for Python. This post will show ways and options for accessing files stored on Amazon S3 from Apache Spark.
0 kommentar(er)
