public void init(int index, CubeDesc cubeDesc) { bitIndex = index; colRef = cubeDesc.getModel().findColumn(column); column = colRef.getIdentity(); Preconditions.checkArgument(colRef != null, "Cannot find rowkey column %s in cube %s", column, cubeDesc); Preconditions.checkState(StringUtils.isNotEmpty(this.encoding)); Object[] encodingConf = DimensionEncoding.parseEncodingConf(this.encoding); encodingName = (String) encodingConf[0]; encodingArgs = (String[]) encodingConf[1]; if (!DimensionEncodingFactory.isValidEncoding(this.encodingName)) throw new IllegalArgumentException("Not supported row key col encoding: '" + this.encoding + "'"); // convert date/time dictionary on date/time column to DimensionEncoding implicitly // however date/time dictionary on varchar column is still required DataType type = colRef.getType(); if (DictionaryDimEnc.ENCODING_NAME.equals(encodingName)) { if (type.isDate()) { encoding = encodingName = DateDimEnc.ENCODING_NAME; } if (type.isTimeFamily()) { encoding = encodingName = TimeDimEnc.ENCODING_NAME; } } encodingArgs = DateDimEnc.replaceEncodingArgs(encoding, encodingArgs, encodingName, type); if (encodingName.startsWith(FixedLenDimEnc.ENCODING_NAME) && (type.isIntegerFamily() || type.isNumberFamily())) { logger.warn(colRef + " type is " + type + " and cannot apply fixed_length encoding"); } }
public void init(int index, CubeDesc cubeDesc) { bitIndex = index; colRef = cubeDesc.getModel().findColumn(column); column = colRef.getIdentity(); Preconditions.checkArgument(colRef != null, "Cannot find rowkey column %s in cube %s", column, cubeDesc); Preconditions.checkState(StringUtils.isNotEmpty(this.encoding)); Object[] encodingConf = DimensionEncoding.parseEncodingConf(this.encoding); encodingName = (String) encodingConf[0]; encodingArgs = (String[]) encodingConf[1]; if (!DimensionEncodingFactory.isValidEncoding(this.encodingName)) throw new IllegalArgumentException("Not supported row key col encoding: '" + this.encoding + "'"); // convert date/time dictionary on date/time column to DimensionEncoding implicitly // however date/time dictionary on varchar column is still required DataType type = colRef.getType(); if (DictionaryDimEnc.ENCODING_NAME.equals(encodingName)) { if (type.isDate()) { encoding = encodingName = DateDimEnc.ENCODING_NAME; } if (type.isTimeFamily()) { encoding = encodingName = TimeDimEnc.ENCODING_NAME; } } encodingArgs = DateDimEnc.replaceEncodingArgs(encoding, encodingArgs, encodingName, type); if (encodingName.startsWith(FixedLenDimEnc.ENCODING_NAME) && (type.isIntegerFamily() || type.isNumberFamily())) { logger.warn(colRef + " type is " + type + " and cannot apply fixed_length encoding"); } }