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Sequentially run Redshift scripts for jobs. Query tuning based on run time.

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jasonsatran/duckrun

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duckrun

  • Utility to run a series of scripts and report the running times.
  • Initial support is for Redshift and Python.
  • work in progress

Redshift setup

  • copy the config file and input your secrets. An example config file can be found in the project root.

cp redshift_config.yaml redshift_config.yaml

  • configure the yaml file with your settings
  • execute the following using your config

python redshift_run.py redshift_config.yaml

Python Demo

make intagrationTest

Resdhift Sample Output

$ python tests/integration_test/python_process_integration.py

SUMMARY


start_time          end_time            processes      local_start_time    local_end_time
_______________________________________________________________________________________________
1528339130.748658   1528339131.1300669  2              06/06/18 22:38      06/06/18 22:38





DETAIL


step      process desc                            running_time (seconds)                  percent of total time
__________________________________________________________________________________________________________________________________
1         file1.sql                               0.1877                                  49.3
2         file2.sql                               0.1934                                  50.7


STD OUT


file1.sql
--------------------
1


file2.sql
--------------------
0.79304793653686

Use Cases

  • Testing the impact of databases changes on running time
  • Automating a series of SQL Scripts

Set Up

  • add duckrun to your python path
  • install depdendencies
    • pip3 install -r ./requirements.txt
  • configure YAML
    • cp redshift_config_example.yaml redshift_config.yaml

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Sequentially run Redshift scripts for jobs. Query tuning based on run time.

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