你可以使用PreparedStatement的setArray()方法

PreparedStatement statement = connection.prepareStatement("Select * from emp where field in (?)");
statement.setArray(1, Arrays.asList(1,2,3,4,5));
ResultSet rs = statement.executeQuery();

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;

    }

}

使用嵌套查询是一种令人不快的变通方法，但肯定是可行的。创建一个包含列的临时表MYVALUES。将值列表插入到MYVALUES表中。然后执行

select my_column from my_table where search_column in ( SELECT value FROM MYVALUES )

很丑，但如果你的价值列表非常大，这是一个可行的选择。

如果您的数据库没有缓存准备好的语句，这种技术还有一个额外的好处，那就是可能会从优化器获得更好的查询计划(检查一个页面是否有多个值，表只能检查一次，而不是每个值检查一次，等等)，这样可以节省开销。您的“insert”将需要批处理，并且可能需要调整MYVALUES表以使锁定或其他高开销保护最小化。

我遇到了一些与准备好的语句相关的限制:

The prepared statements are cached only inside the same session (Postgres), so it will really work only with connection pooling A lot of different prepared statements as proposed by @BalusC may cause the cache to overfill and previously cached statements will be dropped The query has to be optimized and use indices. Sounds obvious, however e.g. the ANY(ARRAY...) statement proposed by @Boris in one of the top answers cannot use indices and query will be slow despite caching The prepared statement caches the query plan as well and the actual values of any parameters specified in the statement are unavailable.

在建议的解决方案中，我会选择一个不会降低查询性能并且查询次数较少的解决方案。这将是#4(批处理少数查询)从@Don链接或指定NULL值为不需要的'?@Vladimir Dyuzhev提出的标记

好吧，所以我不记得我之前是如何(或在哪里)这样做的，所以我来堆栈溢出来快速找到答案。我很惊讶我不能。

所以，很久以前我是用这样的语句来解决IN问题的:

where myColumn in (select regexp_substr(:myList，'[^，]+'， 1, level) from dual connect by regexp_substr(:myList，'[^，]+'， 1, level) not null)

将myList参数设置为逗号分隔的字符串:a,B,C,D…

注意:该参数必须设置两次!

只是为了完整起见，因为我没有看到其他人提出这个建议:

在实现上述任何复杂的建议之前，请考虑SQL注入是否确实是您的场景中的一个问题。

在许多情况下，提供给In(…)的值是一个id列表，这些id以某种方式生成，您可以确保不可能进行注入…(例如，之前select some_id from some_table where some_condition.)

如果是这种情况，您可能只是连接这个值，而不为它使用服务或准备好的语句，或将它们用于此查询的其他参数。

query="select f1,f2 from t1 where f3=? and f2 in (" + sListOfIds + ");";