{
  "name": "Batch-Preprocessing-Example",
  "process.type": "batch",
  "data.sources": [
    {
      "name": "crime_report_source",
      "baseline": true,
      "connector": {
        "type": "file",
        "config": {
          "format": "text",
          "paths": [
            "measure/src/main/resources/crime_report.csv"
          ]
        },
        "pre.proc": [
          "select split(value, ',') as part from this",
          "select part[0] as date_time, part[1] as incident, part[2] as address, part[3] as city, part[4] as zipcode from this",
          "select cast(date_time as timestamp) as date_time, incident, address, city, cast(zipcode as int) as zipcode from this"
        ]
      }
    },
    {
      "name": "crime_report_truth",
      "baseline": true,
      "connector": {
        "type": "file",
        "config": {
          "format": "csv",
          "options": {
            "header": "true"
          },
          "paths": [
            "measure/src/main/resources/crime_report_truth.csv"
          ]
        }
      }
    }
  ],
  "measures": [
    {
      "name": "completeness_measure",
      "type": "completeness",
      "data.source": "crime_report_source",
      "config": {
        "expr": "zipcode is null OR city is null"
      },
      "out": [
        {
          "type": "metric",
          "name": "comp_metric",
          "flatten": "map"
        },
        {
          "type": "record",
          "name": "comp_records"
        }
      ]
    },
    {
      "name": "profiling_measure",
      "type": "profiling",
      "data.source": "crime_report_source",
      "config": {
        "approx.distinct.count": true,
        "round.scale": 2
      },
      "out": [
        {
          "type": "metric",
          "name": "prof_metric",
          "flatten": "map"
        }
      ]
    },
    {
      "name": "spark_sql_measure",
      "type": "sparkSQL",
      "data.source": "crime_report_source",
      "config": {
        "expr": "SELECT t.*, sq.zip IS NULL AS __measure_spark_sql_measure FROM crime_report_source AS t LEFT OUTER JOIN (SELECT zipcode as zip, COUNT(DISTINCT city) AS city_count FROM crime_report_source GROUP BY zipcode having city_count = 1) as sq ON sq.zip=t.zipcode",
        "bad.record.definition": "__measure_spark_sql_measure"
      },
      "out": [
        {
          "type": "metric",
          "name": "spark_sql_metric",
          "flatten": "map"
        },
        {
          "type": "record",
          "name": "spark_sql_records"
        }
      ]
    },
    {
      "name": "duplication_measure",
      "type": "duplication",
      "data.source": "crime_report_source",
      "config": {
        "bad.record.definition": "duplicate"
      },
      "out": [
        {
          "type": "metric",
          "name": "duplication_metric",
          "flatten": "map"
        },
        {
          "type": "record",
          "name": "duplication_records"
        }
      ]
    },
    {
      "name": "accuracy_measure",
      "type": "accuracy",
      "data.source": "crime_report_source",
      "config": {
        "ref.source": "crime_report_truth",
        "expr": [
          {
            "source.col": "city",
            "ref.col": "city_name"
          }
        ]
      },
      "out": [
        {
          "type": "metric",
          "name": "accuracy_metric",
          "flatten": "map"
        },
        {
          "type": "record",
          "name": "accuracy_records"
        }
      ]
    }
  ],
  "sinks": [
    "consoleSink"
  ]
}