Parse thrift-formatted profiles and analyze characteristics of workloads

bash driver.sh tag inputFile|inputDir outputDir >>analysis.log 2>&1
Make sure the inputDir only contains profile files
Run all the code and generate graphs
Instead of running the driver script, users can run each component individually (see driver.sh)

.
|— README.md
|— data: example profiles
|— code
    |— driver.sh
    |— java
        |— src/com/cloudera/impala/analysis/QueryAnalyzer.java: parse sql
        |— src/com/cloudera/impala/analysis/QueryStats.java: sql statistics
        |— src/com/cloudera/impala/analysis/Parameterizer.java: parameterize sql
    |— python
        |— RuntimeProfile.thrift: definition of thrift-formatted profiles
        |— analyze_profiles.py: analyze one profile file
        |— profile_analyzer.py: analyze one query profile
        |— stats.py: generate graphs for a workload
        |— joins.py: check the quality of joins
        |— aggs.py: check the quality of pre aggs
        |— plots.py: helper file to draw graphs
        |— delete_queries_with_tag.py: delete queries with a particular tag
        |— clustering.py: group queries into clusters

1. Make sure mongodb is running
2. Activate virtualenv (source venv/bin/activate)
3. Clear database (use impala; db.dropDatabase()) or delete queries with a particular tag (python delete_queries_with_tag.py tag)
4. Run driver.sh