对于PreparedStatement中的IN子句，我们可以使用不同的替代方法。

Using Single Queries - slowest performance and resource intensive Using StoredProcedure - Fastest but database specific Creating dynamic query for PreparedStatement - Good Performance but doesn't get benefit of caching and PreparedStatement is recompiled every time. Use NULL in PreparedStatement queries - Optimal performance, works great when you know the limit of IN clause arguments. If there is no limit, then you can execute queries in batch. Sample code snippet is; int i = 1; for(; i <=ids.length; i++){ ps.setInt(i, ids[i-1]); } //set null for remaining ones for(; i<=PARAM_SIZE;i++){ ps.setNull(i, java.sql.Types.INTEGER); }

你可以在这里查看更多关于这些替代方法的细节。

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;

    }

}

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++;
}

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)
}

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

似乎还没有人建议使用现成的查询构建器，比如jOOQ或QueryDSL，甚至Criteria query，它们可以开箱即用地管理动态IN列表，可能包括对可能出现的所有边缘情况的管理，例如:

运行到Oracle的每个IN列表最多1000个元素(与绑定值的数量无关) 遇到任何驱动程序的绑定值的最大数目，这是我在这个答案中记录的 遇到游标缓存争用问题，因为太多不同的SQL字符串被“硬解析”，执行计划不能再缓存了(jOOQ和最近Hibernate也通过提供IN列表填充来解决这个问题)

(免责声明:我为jOOQ背后的公司工作)