Hi Fokko, Maxim, Long:
Thanks!
This reading has been occurred in a custom datasource as below:
override def createRelation(…) {
…
blocks.map(block => (block.bytes)).saveAsTextFile(parameters("path”))
...
}
I am a new Sparker, will try the those methods you guys provides.
Best!
Bing.
On Jan 17, 2020, at 4:28 AM, Maxim Gekk
<[email protected]<mailto:[email protected]>> wrote:
Hi Bing,
You can try Text datasource. It shouldn't modify strings:
scala>
Seq(""""201900002_1",1,24,0,2,”S66.000x001”""").toDS.write.text("tmp/text.txt")
$ cat tmp/text.txt/part-00000-256d960f-9f85-47fe-8edd-8428276eb3c6-c000.txt
"201900002_1",1,24,0,2,”S66.000x001”
Maxim Gekk
Software Engineer
Databricks B. V.
[http://go.databricks.com/hubfs/emails/Databricks-logo-bug.png]
<http://databricks.com/>
On Thu, Jan 16, 2020 at 10:02 PM Long, Andrew
<[email protected]<mailto:[email protected]>> wrote:
Hey Bing,
There’s a couple different approaches you could take. The quickest and easiest
would be to use the existing APIs
val bytes = spark.range(1000
bytes.foreachPartition(bytes =>{
//W ARNING anything used in here will need to be serializable.
// There's some magic to serializing the hadoop conf. see the hadoop wrapper
class in the source
val writer = FileSystem.get(null).create(new Path("s3://..."))
bytes.foreach(b => writer.write(b))
writer.close()
})
The more complicated but pretty approach would be to either implement a custom
datasource.
From: "Duan,Bing" <[email protected]<mailto:[email protected]>>
Date: Thursday, January 16, 2020 at 12:35 AM
To: "[email protected]<mailto:[email protected]>"
<[email protected]<mailto:[email protected]>>
Subject: How to implement a "saveAsBinaryFile" function?
Hi all:
I read binary data(protobuf format) from filesystem by binaryFiles function to
a RDD[Array[Byte]] it works fine. But when I save the it to filesystem by
saveAsTextFile, the quotation mark was be escaped like this:
"\"201900002_1\"",1,24,0,2,"\"S66.000x001\””, which should be
"201900002_1",1,24,0,2,”S66.000x001”.
Anyone could give me some tip to implement a function like saveAsBinaryFile to
persist the RDD[Array[Byte]]?
Bests!
Bing
