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Motivation

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• url=https://analytics.broadinstitute.org/Metrics?type=vvp
  where the file should be sent to

• filepathRegex=(.*)/(.*AspAllOutputQC.csv)
  which file-names should be picked

• outer_columns=field1=$1,field2=$2,field3=XYZ
  parse fields out of the filepathRegex and injects them in the JSON (useful when bits of data is encoded in the filename)

• dryrun=true
  run all the delta capturing and regex-parsing and show the data without actually pushing the file

• delta=<delta specification>
  specifies ”how” files to be picked

  • pick 1 (or multiple) specific files
    delta=FILES_CSV /seq/tableau_files/VVPVolumeQC/20221205_RACK_QC_083303_AspAllOutputQC.csv

  • pick files timestamped between this and that timestamp
    delta=FILES IN FOLDER /seq/tableau_files/VVPVolumeQC TIMESTAMPED BETWEEN 2019-10-19 13:11:46 AND 2019-10-19 13:11:46

  • pick files timestamped in last 10 hours
    delta=FILES IN FOLDER /seq/tableau_files/VVPVolumeQC TIMESTAMPED BETWEEN -10h AND NOW

  • pick files timestamped between persisted-in-file-timestamp and now (production setup)
    delta=FILES IN FOLDER /seq/tableau_files/VVPVolumeQC TIMESTAMPED BETWEEN /seq/tableau_files/VVPVolumeQC/VVP_etl_timestamp.txt AND NOW
    The file merely contains a timestamp(2019-10-19 13:11:46) and should be created manually

  • adjustment adjust delta so that you can mitigate clock-discrepancy problems
    delta=FILES IN FOLDER /seq/tableau_files/VVPVolumeQC TIMESTAMPED BETWEEN /seq/tableau_files/VVPVolumeQC/VVP_etl_timestamp.txt MINUS 5 MINUTES AND NOW

Final production-grade command would look like this

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For testing purposes, an individual file can also be manually pushed by using curl
(ATTN: LAST_MODIFIED will not be populated in this case)
on Linux

curl -F file="@/seq/tableau_files/VVPVolumeQC/20221205_RACK_QC_083303_AspAllOutputQC.csv" "https://analytics.broadinstitute.org/Metrics?type=vvp"

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• JSON-queries appear to be sensitive to the Oracle 19.8.0 Bug 31532339 - ORA-600 [koksccda1]
  DBAs are working to address this by upgrading SEQPROD to v19.15.0

• “analytics” VM is in our private network so it can’t be directly accessed from Google Cloud.
  However an “onprem”-script can easily read from GC and push to “analytics” VM

• True: Cost of JSON-parsing from Tableau’s side would be more compared to old-fashioned Oracle tables. However for small scale applications this cost would be negligible.