package edu.brown.markov.features;
import java.util.List;
import org.voltdb.catalog.ProcParameter;
import org.voltdb.catalog.Procedure;
import edu.brown.catalog.CatalogUtil;
import edu.brown.markov.FeatureSet;
import edu.brown.utils.PartitionEstimator;
import edu.brown.workload.TransactionTrace;
/**
* Generate features for the length of the array parameters
* @author pavlo
*/
public class ParamArrayLengthFeature extends AbstractFeature {
private final List<ProcParameter> array_params;
public ParamArrayLengthFeature(PartitionEstimator p_estimator, Procedure catalog_proc) {
super(p_estimator, catalog_proc, ParamArrayLengthFeature.class);
// Get the list of ProcParameters that should be arrays
this.array_params = CatalogUtil.getArrayProcParameters(this.catalog_proc);
}
@Override
public void extract(FeatureSet fset, TransactionTrace txn_trace) throws Exception {
for (ProcParameter catalog_param : this.array_params) {
Object params[] = (Object[])txn_trace.getParam(catalog_param.getIndex());
fset.addFeature(txn_trace, this.getFeatureKey(catalog_param), params.length);
} // FOR
}
@Override
public Object calculate(String key, Object params[]) throws Exception {
ProcParameter catalog_param = this.getProcParameter(key);
assert(catalog_param.getIsarray()) : "Invalid: " + catalog_param;
Object inner_params[] = (Object[])params[catalog_param.getIndex()];
return (inner_params.length);
}
}