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package io.github.jinghui70.rainbow.dbaccess.mapper;

import io.github.jinghui70.rainbow.dbaccess.fieldmapper.FieldMapper;
import org.h2.value.CaseInsensitiveMap;
import org.springframework.jdbc.core.ColumnMapRowMapper;
import org.springframework.jdbc.support.JdbcUtils;

import java.sql.ResultSet;
import java.sql.ResultSetMetaData;
import java.sql.SQLException;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;
import java.util.function.Consumer;

/**
 * {@link org.springframework.jdbc.core.RowMapper} implementation that creates a {@link Map}
 * for each row, representing all columns as key-value pairs: one entry for each column,
 * with the column name as key.
 *
 * 

This RowMapper is useful when you want to access all columns of a row without * having to define a class for it. * *

This class is thread-safe. * * @author jinghui70 */ public class MapRowMapper extends ColumnMapRowMapper { public static MapRowMapper INSTANCE = new MapRowMapper(); private Map> mapperMap; private boolean ignoreNull; private Set ignoreKeySet; private Consumer> postConsumer; /** * Ignore the specified keys when mapping. *

* If the column name of the query result is in the ignoreKeySet, the key will be ignored. *

* Note: The ignoreKeySet is case-insensitive. * * @param ignoreKeys the keys to be ignored * @return this */ public MapRowMapper ignore(String... ignoreKeys) { if (ignoreKeySet == null) { ignoreKeySet = new HashSet<>(); } for (String str : ignoreKeys) ignoreKeySet.add(str.toUpperCase()); return this; } /** * If the value of the column is null, the key will not be put into the Map. *

* Default is false, that means the key will be put into the Map even if the value is null. *

* Note: If the value is null and ignoreNull is true, the key will not be put into the Map. * So you can use this method to avoid the key of null value. * * @return this */ public MapRowMapper ignoreNull() { ignoreNull = true; return this; } /** * Set the FieldMapper of specified key. * * @param key the key of the FieldMapper * @param fieldMapper the FieldMapper * @return this */ public MapRowMapper setFieldMapper(String key, FieldMapper fieldMapper) { if (mapperMap == null) mapperMap = new CaseInsensitiveMap<>(); mapperMap.put(key, fieldMapper); return this; } /** * Set the FieldMapper of specified column index. * * @param columnIndex the column index of the FieldMapper * @param fieldMapper the FieldMapper * @return this */ public MapRowMapper setFieldMapper(int columnIndex, FieldMapper fieldMapper) { return this.setFieldMapper(Integer.toString(columnIndex), fieldMapper); } /** * Set a consumer for the Map returned by {@link #mapRow(ResultSet, int)}. * The consumer will be called after the Map is generated. * The consumer can be used to do some extra processing for the Map. * * @param consumer the consumer * @return this */ public MapRowMapper post(Consumer> consumer) { postConsumer = consumer; return this; } /** * Implement the RowMapper interface, mapping the column values to a Map. * The key of the Map is the column name, and the value is the column value. * If the column value is null and ignoreNull is true, the key will not be put into the Map. * If ignoreKeySet is not null, the column names in the set will be ignored. * * @param rs the ResultSet to map * @param rowNum the row number (not used) * @return the mapped Map * @throws SQLException if there is a problem with the underlying database */ @Override public Map mapRow(ResultSet rs, int rowNum) throws SQLException { ResultSetMetaData metaData = rs.getMetaData(); int columnCount = metaData.getColumnCount(); Map mapOfColumnValues = createColumnMap(columnCount); for (int i = 1; i <= columnCount; i++) { String column = JdbcUtils.lookupColumnName(metaData, i); if (ignoreKeySet != null && ignoreKeySet.contains(column.toUpperCase())) continue; String key = getColumnKey(column); FieldMapper mapper = getFieldMapper(i, column); Object value = mapper != null ? mapper.formDB(rs, i) : getColumnValue(rs, i); if (value != null || !ignoreNull) mapOfColumnValues.putIfAbsent(key, value); } if (postConsumer != null) { postConsumer.accept(mapOfColumnValues); } return mapOfColumnValues; } /** * Get the FieldMapper of specified column index or column name. * *

First try to get the FieldMapper from the mapperMap by the column index. * If not found, try to get the FieldMapper from the mapperMap by the column name. * * @param columnIndex the column index * @param column the column name * @return the FieldMapper or null if not found */ private FieldMapper getFieldMapper(int columnIndex, String column) { if (mapperMap == null) return null; FieldMapper mapper = mapperMap.get(Integer.toString(columnIndex)); return mapper == null ? mapperMap.get(column) : mapper; } /** * Create a new instance of MapRowMapper. * * @return a new MapRowMapper */ public static MapRowMapper create() { return new MapRowMapper(); } }





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