我只是为此制定了一个特定于postgresql的选项。它有点像黑客，有自己的优缺点和局限性，但它似乎是有效的，而且不局限于特定的开发语言、平台或PG驱动程序。

当然，诀窍是找到一种方法，将任意长度的值集合作为单个参数传递，并让db将其识别为多个值。我的解决方案是从集合中的值构造一个带分隔符的字符串，将该字符串作为单个参数传递，并使用string_to_array()与PostgreSQL正确使用它所需的强制转换。

因此，如果你想搜索“foo”，“blah”和“abc”，你可以将它们连接成一个字符串，如:'foo,blah,abc'。下面是直接的SQL语句:

select column from table
where search_column = any (string_to_array('foo,blah,abc', ',')::text[]);

显然，您可以将显式强制转换更改为您想要的结果值数组——int、text、uuid等。因为函数接受一个字符串值(或者两个，如果你也想自定义分隔符)，你可以在准备好的语句中作为参数传递它:

select column from table
where search_column = any (string_to_array($1, ',')::text[]);

这甚至足够灵活，可以支持like比较:

select column from table
where search_column like any (string_to_array('foo%,blah%,abc%', ',')::text[]);

Again, no question it's a hack, but it works and allows you to still use pre-compiled prepared statements that take *ahem* discrete parameters, with the accompanying security and (maybe) performance benefits. Is it advisable and actually performant? Naturally, it depends, as you've got string parsing and possibly casting going on before your query even runs. If you're expecting to send three, five, a few dozen values, sure, it's probably fine. A few thousand? Yeah, maybe not so much. YMMV, limitations and exclusions apply, no warranty express or implied.

但它确实有效。

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。

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...
    }
}

对于某些情况，regexp可能会有所帮助。 下面是我在Oracle上查看的一个例子，它是有效的。

select * from my_table where REGEXP_LIKE (search_column, 'value1|value2')

但它也有一些缺点:

它应用的任何列都应该转换为varchar/char，至少是隐式转换。 使用特殊字符时要小心。 它会降低性能——在我的例子中，in版本使用索引和范围扫描，而REGEXP版本执行全扫描。

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。

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;

    }

}