Java StructField.getFieldName方法代碼示例

import org.apache.hadoop.hive.serde2.objectinspector.StructField; //導入方法依賴的package包/類
/**
 * Deparses struct data into a serializable JSON object.
 *
 * @param obj - Hive struct data
 * @param structOI - ObjectInspector for the struct
 * @param isRow - Whether or not this struct represents a top-level row
 * @return - A deparsed struct
 */
private Object deparseStruct(Object obj,
                             StructObjectInspector structOI,
                             boolean isRow) {
    Map<Object,Object> struct = new HashMap<Object,Object>();
    List<? extends StructField> fields = structOI.getAllStructFieldRefs();
    for (int i = 0; i < fields.size(); i++) {
        StructField field = fields.get(i);
        // The top-level row object is treated slightly differently from other
        // structs, because the field names for the row do not correctly reflect
        // the Hive column names. For lower-level structs, we can get the field
        // name from the associated StructField object.
        String fieldName = isRow ? colNames.get(i) : field.getFieldName();
        ObjectInspector fieldOI = field.getFieldObjectInspector();
        Object fieldObj = structOI.getStructFieldData(obj, field);
        struct.put(fieldName, deparseObject(fieldObj, fieldOI));
    }
    return struct;
}
 

import org.apache.hadoop.hive.serde2.objectinspector.StructField; //導入方法依賴的package包/類
/**
 * Deparses struct data into a serializable JSON object.
 *
 * @param obj      - Hive struct data
 * @param structOI - ObjectInspector for the struct
 * @param isRow    - Whether or not this struct represents a top-level row
 * @return - A deparsed struct
 */
private Object deparseStruct(Object obj,
							 StructObjectInspector structOI,
							 boolean isRow) {
	Map<Object, Object> struct = new HashMap<Object, Object>();
	List<? extends StructField> fields = structOI.getAllStructFieldRefs();
	for (int i = 0; i < fields.size(); i++) {
		StructField field = fields.get(i);
		// The top-level row object is treated slightly differently from other
		// structs, because the field names for the row do not correctly reflect
		// the Hive column names. For lower-level structs, we can get the field
		// name from the associated StructField object.
		String fieldName = isRow ? colNames.get(i) : field.getFieldName();
		ObjectInspector fieldOI = field.getFieldObjectInspector();
		Object fieldObj = structOI.getStructFieldData(obj, field);
		struct.put(fieldName, deparseObject(fieldObj, fieldOI));
	}
	return struct;
}
 

import org.apache.hadoop.hive.serde2.objectinspector.StructField; //導入方法依賴的package包/類
/**
 * Deparses struct data into a serializable JSON object.
 *
 * @param obj
 *            - Hive struct data
 * @param structOI
 *            - ObjectInspector for the struct
 * @param isRow
 *            - Whether or not this struct represents a top-level row
 * @return - A deparsed struct
 */
private Object deparseStruct(final Object obj,
		final StructObjectInspector structOI, final boolean isRow) {
	final Map<Object, Object> struct = new HashMap<Object, Object>();
	final List<? extends StructField> fields = structOI
			.getAllStructFieldRefs();
	for (int i = 0; i < fields.size(); i++) {
		final StructField field = fields.get(i);
		// The top-level row object is treated slightly differently from
		// other
		// structs, because the field names for the row do not correctly
		// reflect
		// the Hive column names. For lower-level structs, we can get the
		// field
		// name from the associated StructField object.
		final String fieldName = isRow ? colNames.get(i) : field
				.getFieldName();
		final ObjectInspector fieldOI = field.getFieldObjectInspector();
		final Object fieldObj = structOI.getStructFieldData(obj, field);
		struct.put(fieldName, deparseObject(fieldObj, fieldOI));
	}
	return struct;
}
 

import org.apache.hadoop.hive.serde2.objectinspector.StructField; //導入方法依賴的package包/類
@Override
public String[] getAllKey() throws IOException{
  String[] keys = new String[fieldList.size()];
  int i = 0;
  for( StructField field : fieldList ){
    keys[i] = field.getFieldName();
    i++;
  }

  return keys;
}
 

import org.apache.hadoop.hive.serde2.objectinspector.StructField; //導入方法依賴的package包/類
/**
 * Converts to TableDto.
 *
 * @param table connector table
 * @return Metacat table Info
 */
@Override
public TableInfo toTableInfo(final QualifiedName name, final Table table) {
    final List<FieldSchema> nonPartitionColumns =
        (table.getSd() != null) ? table.getSd().getCols() : Collections.emptyList();
    // add the data fields to the nonPartitionColumns
    //ignore all exceptions
    try {
        if (nonPartitionColumns.isEmpty()) {
            for (StructField field : HiveTableUtil.getTableStructFields(table)) {
                final FieldSchema fieldSchema = new FieldSchema(field.getFieldName(),
                    field.getFieldObjectInspector().getTypeName(),
                    field.getFieldComment());
                nonPartitionColumns.add(fieldSchema);
            }
        }
    } catch (final Exception e) {
        log.error(e.getMessage(), e);
    }

    final List<FieldSchema> partitionColumns = table.getPartitionKeys();
    final Date creationDate = table.isSetCreateTime() ? epochSecondsToDate(table.getCreateTime()) : null;
    final List<FieldInfo> allFields =
        Lists.newArrayListWithCapacity(nonPartitionColumns.size() + partitionColumns.size());
    nonPartitionColumns.stream()
        .map(field -> hiveToMetacatField(field, false))
        .forEachOrdered(allFields::add);
    partitionColumns.stream()
        .map(field -> hiveToMetacatField(field, true))
        .forEachOrdered(allFields::add);
    final AuditInfo auditInfo = AuditInfo.builder().createdDate(creationDate).build();
    return TableInfo.builder()
        .serde(toStorageInfo(table.getSd(), table.getOwner())).fields(allFields)
        .metadata(table.getParameters()).name(name).auditInfo(auditInfo)
        .build();
}