Java Code Examples for org.pentaho.di.core.row.ValueMetaInterface#compare()
The following examples show how to use
org.pentaho.di.core.row.ValueMetaInterface#compare() .
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Example 1
Source File: JsonInputTest.java From pentaho-kettle with Apache License 2.0 | 5 votes |
@Override public void rowWrittenEvent( RowMetaInterface rowMeta, Object[] row ) throws KettleStepException { if ( rowNbr >= data.length ) { throw new ComparisonFailure( "too many output rows", "" + data.length, "" + ( rowNbr + 1 ) ); } else { for ( int i = 0; i < data[ rowNbr ].length; i++ ) { try { boolean eq = true; if ( comparators.containsKey( i ) ) { Comparison<Object> comp = comparators.get( i ); if ( comp != null ) { eq = comp.equals( data[ rowNbr ][ i ], row[ i ] ); } } else { ValueMetaInterface valueMeta = rowMeta.getValueMeta( i ); eq = valueMeta.compare( data[ rowNbr ][ i ], row[ i ] ) == 0; } if ( !eq ) { throw new ComparisonFailure( String.format( "Mismatch row %d, column %d", rowNbr, i ), rowMeta.getString( data[ rowNbr ] ), rowMeta.getString( row ) ); } } catch ( Exception e ) { throw new AssertionError( String.format( "Value type at row %d, column %d", rowNbr, i ), e ); } } rowNbr++; } }
Example 2
Source File: DimensionCache.java From pentaho-kettle with Apache License 2.0 | 4 votes |
/** * Compare 2 rows of data using the natural keys and indexes specified. * * @param o1 * @param o2 * @return */ public int compare( Object[] o1, Object[] o2 ) { try { // First compare on the natural keys... // int cmp = rowMeta.compare( o1, o2, keyIndexes ); if ( cmp != 0 ) { return cmp; } // Then see if the start of the date range of o2 falls between the start and end of o2 // ValueMetaInterface fromDateMeta = rowMeta.getValueMeta( fromDateIndex ); ValueMetaInterface toDateMeta = rowMeta.getValueMeta( toDateIndex ); Date fromDate = fromDateMeta.getDate( o1[fromDateIndex] ); Date toDate = toDateMeta.getDate( o1[toDateIndex] ); Date lookupDate = fromDateMeta.getDate( o2[fromDateIndex] ); int fromCmpLookup = 0; if ( fromDate == null ) { if ( lookupDate == null ) { fromCmpLookup = 0; } else { fromCmpLookup = -1; } } else { if ( lookupDate == null ) { fromCmpLookup = 1; } else { fromCmpLookup = fromDateMeta.compare( fromDate, lookupDate ); } } if ( fromCmpLookup < 0 ) { if ( toDate != null ) { int toCmpLookup = toDateMeta.compare( toDate, lookupDate ); if ( toCmpLookup > 0 ) { return 0; } } } return fromCmpLookup; } catch ( Exception e ) { throw new RuntimeException( e ); } }
Example 3
Source File: ValueMetaBase.java From pentaho-kettle with Apache License 2.0 | 4 votes |
/** * Compare 2 values of the same data type * * @param data1 * the first value * @param meta2 * the second value's metadata * @param data2 * the second value * @return 0 if the values are equal, -1 if data1 is smaller than data2 and +1 if it's larger. * @throws KettleValueException * In case we get conversion errors */ @Override public int compare( Object data1, ValueMetaInterface meta2, Object data2 ) throws KettleValueException { if ( meta2 == null ) { throw new KettleValueException( toStringMeta() + " : Second meta data (meta2) is null, please check one of the previous steps." ); } try { // Before we can compare data1 to data2 we need to make sure they have the // same data type etc. // if ( getType() == meta2.getType() ) { if ( getStorageType() == meta2.getStorageType() ) { return compare( data1, data2 ); } // Convert the storage type to compare the data. // switch ( getStorageType() ) { case STORAGE_TYPE_NORMAL: return compare( data1, meta2.convertToNormalStorageType( data2 ) ); case STORAGE_TYPE_BINARY_STRING: if ( storageMetadata != null && storageMetadata.getConversionMask() != null && !meta2.isNumber() ) { // BACKLOG-18754 - if there is a storage conversion mask, we should use // it as the mask for meta2 (meta2 can have specific storage type and type, so // it can't be used directly to convert data2 to binary string) ValueMetaInterface meta2StorageMask = meta2.clone(); meta2StorageMask.setConversionMask( storageMetadata.getConversionMask() ); return compare( data1, meta2StorageMask.convertToBinaryStringStorageType( data2 ) ); } else { return compare( data1, meta2.convertToBinaryStringStorageType( data2 ) ); } case STORAGE_TYPE_INDEXED: switch ( meta2.getStorageType() ) { case STORAGE_TYPE_INDEXED: return compare( data1, data2 ); // not accessible, just to make sure. case STORAGE_TYPE_NORMAL: return -meta2.compare( data2, convertToNormalStorageType( data1 ) ); case STORAGE_TYPE_BINARY_STRING: return -meta2.compare( data2, convertToBinaryStringStorageType( data1 ) ); default: throw new KettleValueException( meta2.toStringMeta() + " : Unknown storage type : " + meta2.getStorageType() ); } default: throw new KettleValueException( toStringMeta() + " : Unknown storage type : " + getStorageType() ); } } else if ( ValueMetaInterface.TYPE_INTEGER == getType() && ValueMetaInterface.TYPE_NUMBER == meta2.getType() ) { // BACKLOG-18738 // compare Double to Integer return -meta2.compare( data2, meta2.convertData( this, data1 ) ); } // If the data types are not the same, the first one is the driver... // The second data type is converted to the first one. // return compare( data1, convertData( meta2, data2 ) ); } catch ( Exception e ) { throw new KettleValueException( toStringMeta() + " : Unable to compare with value [" + meta2.toStringMeta() + "]", e ); } }
Example 4
Source File: AggregateRows.java From pentaho-kettle with Apache License 2.0 | 4 votes |
private synchronized void AddAggregate( RowMetaInterface rowMeta, Object[] r ) throws KettleValueException { for ( int i = 0; i < data.fieldnrs.length; i++ ) { ValueMetaInterface valueMeta = rowMeta.getValueMeta( data.fieldnrs[i] ); Object valueData = r[data.fieldnrs[i]]; if ( !valueMeta.isNull( valueData ) ) { data.counts[i]++; // only count non-zero values! switch ( meta.getAggregateType()[i] ) { case AggregateRowsMeta.TYPE_AGGREGATE_SUM: case AggregateRowsMeta.TYPE_AGGREGATE_AVERAGE: Double number = valueMeta.getNumber( valueData ); if ( data.values[i] == null ) { data.values[i] = number; } else { data.values[i] = new Double( ( (Double) data.values[i] ).doubleValue() + number.doubleValue() ); } break; case AggregateRowsMeta.TYPE_AGGREGATE_MIN: if ( data.values[i] == null ) { data.values[i] = valueData; } else { if ( valueMeta.compare( data.values[i], valueData ) < 0 ) { data.values[i] = valueData; } } break; case AggregateRowsMeta.TYPE_AGGREGATE_MAX: if ( data.values[i] == null ) { data.values[i] = valueData; } else { if ( valueMeta.compare( data.values[i], valueData ) > 0 ) { data.values[i] = valueData; } } break; case AggregateRowsMeta.TYPE_AGGREGATE_NONE: case AggregateRowsMeta.TYPE_AGGREGATE_FIRST: if ( data.values[i] == null ) { data.values[i] = valueData; } break; case AggregateRowsMeta.TYPE_AGGREGATE_LAST: data.values[i] = valueData; break; default: break; } } switch ( meta.getAggregateType()[i] ) { case AggregateRowsMeta.TYPE_AGGREGATE_FIRST_NULL: // First value, EVEN if it's NULL: if ( data.values[i] == null ) { data.values[i] = valueData; } break; case AggregateRowsMeta.TYPE_AGGREGATE_LAST_NULL: // Last value, EVEN if it's NULL: data.values[i] = valueData; break; default: break; } } }