我的解决方案(JavaScript)

    var s1 = " SELECT "

 + "FROM   table t "

 + "  where t.field in ";

  var s3 = '(';

  for(var i =0;i<searchTerms.length;i++)
  {
    if(i+1 == searchTerms.length)
    {
     s3  = s3+'?)';
    }
    else
    {
        s3  = s3+'?, ' ;
    }
   }
    var query = s1+s3;

    var pstmt = connection.prepareStatement(query);

     for(var i =0;i<searchTerms.length;i++)
    {
        pstmt.setString(i+1, searchTerms[i]);
    }

SearchTerms是包含你的输入/键/字段等的数组

SetArray是最好的解决方案，但它不适用于许多老司机。下面的解决方法可以在java8中使用

String baseQuery ="SELECT my_column FROM my_table where search_column IN (%s)"

String markersString = inputArray.stream().map(e -> "?").collect(joining(","));
String sqlQuery = String.format(baseSQL, markersString);

//Now create Prepared Statement and use loop to Set entries
int index=1;

for (String input : inputArray) {
     preparedStatement.setString(index++, input);
}

这个解决方案比其他难看的while循环解决方案好，其中查询字符串是通过手动迭代构建的

这适用于我(伪docode):

public class SqlHelper
{
    public static final ArrayList<String>platformList = new ArrayList<>(Arrays.asList("iOS","Android","Windows","Mac"));

    public static final String testQuery = "select * from devices where platform_nm in (:PLATFORM_NAME)";
}

指定绑定:

public class Test extends NamedParameterJdbcDaoSupport
public List<SampleModelClass> runQuery()
{
    //define rowMapper to insert in object of SampleClass
    final Map<String,Object> map = new HashMap<>();
    map.put("PLATFORM_LIST",DeviceDataSyncQueryConstants.platformList);
    return getNamedParameterJdbcTemplate().query(SqlHelper.testQuery, map, rowMapper)
}

没有简单的办法。 如果目标是保持较高的语句缓存比(即不是每个参数都创建一条语句)，您可以执行以下操作:

创建带有几个参数(例如10个)的语句: ．.． 一个在 (?,?,?,?,?,?,?,?,?,?) ... 绑定所有实际参数 setString(1、“foo”); setString(2,“酒吧”); 其余的绑定为NULL Types.VARCHAR setNull (3) .．. Types.VARCHAR setNull (10)

NULL从不匹配任何东西，因此它会被SQL计划构建器优化。

当你将List传递给DAO函数时，逻辑很容易自动化:

while( i < param.size() ) {
  ps.setString(i+1,param.get(i));
  i++;
}

while( i < MAX_PARAMS ) {
  ps.setNull(i+1,Types.VARCHAR);
  i++;
}

PostgreSQL的解决方案:

final PreparedStatement statement = connection.prepareStatement(
        "SELECT my_column FROM my_table where search_column = ANY (?)"
);
final String[] values = getValues();
statement.setArray(1, connection.createArrayOf("text", values));

try (ResultSet rs = statement.executeQuery()) {
    while(rs.next()) {
        // do some...
    }
}

or

final PreparedStatement statement = connection.prepareStatement(
        "SELECT my_column FROM my_table " + 
        "where search_column IN (SELECT * FROM unnest(?))"
);
final String[] values = getValues();
statement.setArray(1, connection.createArrayOf("text", values));

try (ResultSet rs = statement.executeQuery()) {
    while(rs.next()) {
        // do some...
    }
}

下面是一个完整的Java解决方案来为你创建准备好的语句:

/*usage:

Util u = new Util(500); //500 items per bracket. 
String sqlBefore  = "select * from myTable where (";
List<Integer> values = new ArrayList<Integer>(Arrays.asList(1,2,4,5)); 
string sqlAfter = ") and foo = 'bar'"; 

PreparedStatement ps = u.prepareStatements(sqlBefore, values, sqlAfter, connection, "someId");
*/



import java.sql.Connection;
import java.sql.PreparedStatement;
import java.sql.SQLException;
import java.util.ArrayList;
import java.util.List;

public class Util {

    private int numValuesInClause;

    public Util(int numValuesInClause) {
        super();
        this.numValuesInClause = numValuesInClause;
    }

    public int getNumValuesInClause() {
        return numValuesInClause;
    }

    public void setNumValuesInClause(int numValuesInClause) {
        this.numValuesInClause = numValuesInClause;
    }

    /** Split a given list into a list of lists for the given size of numValuesInClause*/
    public List<List<Integer>> splitList(
            List<Integer> values) {


        List<List<Integer>> newList = new ArrayList<List<Integer>>(); 
        while (values.size() > numValuesInClause) {
            List<Integer> sublist = values.subList(0,numValuesInClause);
            List<Integer> values2 = values.subList(numValuesInClause, values.size());   
            values = values2; 

            newList.add( sublist);
        }
        newList.add(values);

        return newList;
    }

    /**
     * Generates a series of split out in clause statements. 
     * @param sqlBefore ""select * from dual where ("
     * @param values [1,2,3,4,5,6,7,8,9,10]
     * @param "sqlAfter ) and id = 5"
     * @return "select * from dual where (id in (1,2,3) or id in (4,5,6) or id in (7,8,9) or id in (10)"
     */
    public String genInClauseSql(String sqlBefore, List<Integer> values,
            String sqlAfter, String identifier) 
    {
        List<List<Integer>> newLists = splitList(values);
        String stmt = sqlBefore;

        /* now generate the in clause for each list */
        int j = 0; /* keep track of list:newLists index */
        for (List<Integer> list : newLists) {
            stmt = stmt + identifier +" in (";
            StringBuilder innerBuilder = new StringBuilder();

            for (int i = 0; i < list.size(); i++) {
                innerBuilder.append("?,");
            }



            String inClause = innerBuilder.deleteCharAt(
                    innerBuilder.length() - 1).toString();

            stmt = stmt + inClause;
            stmt = stmt + ")";


            if (++j < newLists.size()) {
                stmt = stmt + " OR ";
            }

        }

        stmt = stmt + sqlAfter;
        return stmt;
    }

    /**
     * Method to convert your SQL and a list of ID into a safe prepared
     * statements
     * 
     * @throws SQLException
     */
    public PreparedStatement prepareStatements(String sqlBefore,
            ArrayList<Integer> values, String sqlAfter, Connection c, String identifier)
            throws SQLException {

        /* First split our potentially big list into lots of lists */
        String stmt = genInClauseSql(sqlBefore, values, sqlAfter, identifier);
        PreparedStatement ps = c.prepareStatement(stmt);

        int i = 1;
        for (int val : values)
        {

            ps.setInt(i++, val);

        }
        return ps;

    }

}