I'm using Spotify Scio to read logs that are exported from Stackdriver to Google Cloud Storage. They are JSON files where every line is a single entry. Looking at the worker logs it seems like the file is split into chunks, which are then read in any order. I've already limited my job to exactly 1 worker in this case. Is there a way to force these chunks to be read and processed in order?
As an example (textFile is basically a TextIO.Read):
val sc = ScioContext(myOptions)
sc.textFile(myFile).map(line => logger.info(line))
Would produce output similar to this based on the worker logs:
line 5
line 6
line 7
line 8
<Some other work>
line 1
line 2
line 3
line 4
<Some other work>
line 9
line 10
line 11
line 12
What I want to know is if there's a way to force it to read lines 1-12 in order. I've found that gzipping the file and reading it with the CompressionType specified is a workaround but I'm wondering if there are any ways to do this that don't involve zipping or changing the original file.
Google Cloud Dataflow / Apache Beam currently do not support sorting or preservation of order in processing pipelines. The drawback of allowing for sorted output is that it outputting such a result for large datasets eventually bottlenecks on a single machine, which is not scalable for large datasets.