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); } }