Spark Structured Streaming from Files on S3/Disk - add batch filename to records/lines?





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I am implementing a spark structured streaming application that processes webserver log files from a folder on disk or perhaps S3.
Spark Structured Streaming fits the use case almost perfectly, with one wrinkle.
The filenames in the folder also contain the machine name eg. like:



/node1_20181101.json.gz



/node1_20181102.json.gz



/node2_20181101.json.gz



/node3_20181102.json.gz



/node4_20181102.json.gz



...and so on.



A (simplified) version of the source looks something like this ( I would turn the below to a continuous stream with windowing etc):



val inputDF = spark.read
.option("codec", classOf[GzipCodec].getName)
.option("maxFilesPerTrigger", 1.toString)
.json(config.directory)
.transform { ds =>
logger.info(ds.inputFiles)
ds
}.foreach(println(_))


I would like to transform the batch and add the node ID from the filename to each record line, - I can't seem to see any kind of an onBatch trigger that I could use to enrich the record schema with the node ID from the file name.



I have looked at the following and nothing seems to fit:
[FileStreamSource][https://jaceklaskowski.gitbooks.io/spark-structured-streaming/spark-sql-streaming-FileStreamSource.html#metadataLog]



Unfortunately getting a handle on the machine name from the file name is key to the analytics I do later, and I have no control over how the logs are populated



Any clues?










share|improve this question

























  • Do you want to get access to the file name in transform method?

    – Jacek Laskowski
    Dec 3 '18 at 20:25


















1















I am implementing a spark structured streaming application that processes webserver log files from a folder on disk or perhaps S3.
Spark Structured Streaming fits the use case almost perfectly, with one wrinkle.
The filenames in the folder also contain the machine name eg. like:



/node1_20181101.json.gz



/node1_20181102.json.gz



/node2_20181101.json.gz



/node3_20181102.json.gz



/node4_20181102.json.gz



...and so on.



A (simplified) version of the source looks something like this ( I would turn the below to a continuous stream with windowing etc):



val inputDF = spark.read
.option("codec", classOf[GzipCodec].getName)
.option("maxFilesPerTrigger", 1.toString)
.json(config.directory)
.transform { ds =>
logger.info(ds.inputFiles)
ds
}.foreach(println(_))


I would like to transform the batch and add the node ID from the filename to each record line, - I can't seem to see any kind of an onBatch trigger that I could use to enrich the record schema with the node ID from the file name.



I have looked at the following and nothing seems to fit:
[FileStreamSource][https://jaceklaskowski.gitbooks.io/spark-structured-streaming/spark-sql-streaming-FileStreamSource.html#metadataLog]



Unfortunately getting a handle on the machine name from the file name is key to the analytics I do later, and I have no control over how the logs are populated



Any clues?










share|improve this question

























  • Do you want to get access to the file name in transform method?

    – Jacek Laskowski
    Dec 3 '18 at 20:25














1












1








1








I am implementing a spark structured streaming application that processes webserver log files from a folder on disk or perhaps S3.
Spark Structured Streaming fits the use case almost perfectly, with one wrinkle.
The filenames in the folder also contain the machine name eg. like:



/node1_20181101.json.gz



/node1_20181102.json.gz



/node2_20181101.json.gz



/node3_20181102.json.gz



/node4_20181102.json.gz



...and so on.



A (simplified) version of the source looks something like this ( I would turn the below to a continuous stream with windowing etc):



val inputDF = spark.read
.option("codec", classOf[GzipCodec].getName)
.option("maxFilesPerTrigger", 1.toString)
.json(config.directory)
.transform { ds =>
logger.info(ds.inputFiles)
ds
}.foreach(println(_))


I would like to transform the batch and add the node ID from the filename to each record line, - I can't seem to see any kind of an onBatch trigger that I could use to enrich the record schema with the node ID from the file name.



I have looked at the following and nothing seems to fit:
[FileStreamSource][https://jaceklaskowski.gitbooks.io/spark-structured-streaming/spark-sql-streaming-FileStreamSource.html#metadataLog]



Unfortunately getting a handle on the machine name from the file name is key to the analytics I do later, and I have no control over how the logs are populated



Any clues?










share|improve this question
















I am implementing a spark structured streaming application that processes webserver log files from a folder on disk or perhaps S3.
Spark Structured Streaming fits the use case almost perfectly, with one wrinkle.
The filenames in the folder also contain the machine name eg. like:



/node1_20181101.json.gz



/node1_20181102.json.gz



/node2_20181101.json.gz



/node3_20181102.json.gz



/node4_20181102.json.gz



...and so on.



A (simplified) version of the source looks something like this ( I would turn the below to a continuous stream with windowing etc):



val inputDF = spark.read
.option("codec", classOf[GzipCodec].getName)
.option("maxFilesPerTrigger", 1.toString)
.json(config.directory)
.transform { ds =>
logger.info(ds.inputFiles)
ds
}.foreach(println(_))


I would like to transform the batch and add the node ID from the filename to each record line, - I can't seem to see any kind of an onBatch trigger that I could use to enrich the record schema with the node ID from the file name.



I have looked at the following and nothing seems to fit:
[FileStreamSource][https://jaceklaskowski.gitbooks.io/spark-structured-streaming/spark-sql-streaming-FileStreamSource.html#metadataLog]



Unfortunately getting a handle on the machine name from the file name is key to the analytics I do later, and I have no control over how the logs are populated



Any clues?







scala apache-spark spark-structured-streaming






share|improve this question















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edited Dec 3 '18 at 20:23









Jacek Laskowski

46.3k18138278




46.3k18138278










asked Nov 26 '18 at 15:38









ARocheARoche

61




61













  • Do you want to get access to the file name in transform method?

    – Jacek Laskowski
    Dec 3 '18 at 20:25



















  • Do you want to get access to the file name in transform method?

    – Jacek Laskowski
    Dec 3 '18 at 20:25

















Do you want to get access to the file name in transform method?

– Jacek Laskowski
Dec 3 '18 at 20:25





Do you want to get access to the file name in transform method?

– Jacek Laskowski
Dec 3 '18 at 20:25












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