Albert Chu created PHOENIX-2311:
-----------------------------------

             Summary: performance.py java.io.FileNotFoundException: ddl.sql
                 Key: PHOENIX-2311
                 URL: https://issues.apache.org/jira/browse/PHOENIX-2311
             Project: Phoenix
          Issue Type: Bug
    Affects Versions: 4.5.2
            Reporter: Albert Chu
            Priority: Minor


Recently hit an issue where I got

{noformat}
java.io.FileNotFoundException: ddl.sql (No such file or directory)
        at java.io.FileInputStream.open(Native Method)
        at java.io.FileInputStream.<init>(FileInputStream.java:146)
        at java.io.FileInputStream.<init>(FileInputStream.java:101)
        at java.io.FileReader.<init>(FileReader.java:58)
        at org.apache.phoenix.util.PhoenixRuntime.main(PhoenixRuntime.java:222)
{noformat}

The issue appears to be that I have phoenix installed in a NFS home
directory.  When I run multiple performance tests simultaneously,
there is a race on the create/delete of the temporary files in that
NFS dir (such as ddl.sql).

as a quick hack, I just added "/tmp/" to each of the files in
performance.py to see if that would fix things, but then hit:

{noformat}
java.io.FileNotFoundException: /tmp/data.csv (No such file or directory)
        at java.io.FileInputStream.open(Native Method)
        at java.io.FileInputStream.<init>(FileInputStream.java:146)
        at org.apache.commons.csv.CSVParser.parse(CSVParser.java:158)
        at 
org.apache.phoenix.util.CSVCommonsLoader.upsert(CSVCommonsLoader.java:191)
        at org.apache.phoenix.util.PhoenixRuntime.main(PhoenixRuntime.java:237)
{noformat}

digging further, it appears in the GeneratePerformanceData class, the 
"data.csv" file is hard coded.

{noformat}
    private static final String FILENAME = "data.csv";
{noformat}

I stopped digging at this point.

There are many ways this could be fixed.  Some additional optional arguments 
would probably be easiest/make sense.

Unsure of what upstream would prefer.  I'm more than happy to produce a patch 
based on upstream preferences.




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