在javaranche Journal上Jeanne Boyarsky的JDBC批处理选择语句条目中，有对各种可用选项及其优缺点的分析。

建议的方案是:

Prepare SELECT my_column FROM my_table WHERE search_column = ?, execute it for each value and UNION the results client-side. Requires only one prepared statement. Slow and painful. Prepare SELECT my_column FROM my_table WHERE search_column IN (?,?,?) and execute it. Requires one prepared statement per size-of-IN-list. Fast and obvious. Prepare SELECT my_column FROM my_table WHERE search_column = ? ; SELECT my_column FROM my_table WHERE search_column = ? ; ... and execute it. [Or use UNION ALL in place of those semicolons. --ed] Requires one prepared statement per size-of-IN-list. Stupidly slow, strictly worse than WHERE search_column IN (?,?,?), so I don't know why the blogger even suggested it. Use a stored procedure to construct the result set. Prepare N different size-of-IN-list queries; say, with 2, 10, and 50 values. To search for an IN-list with 6 different values, populate the size-10 query so that it looks like SELECT my_column FROM my_table WHERE search_column IN (1,2,3,4,5,6,6,6,6,6). Any decent server will optimize out the duplicate values before running the query.

这些选择都不理想。

如果您正在使用JDBC4并且服务器支持x = ANY(y)，那么最好的选择是使用PreparedStatement。setArray的描述在鲍里斯的回答。

不过，似乎没有任何方法可以使setArray与IN-lists一起工作。

有时SQL语句是在运行时加载的(例如，从属性文件中加载)，但需要可变数量的参数。在这种情况下，首先定义查询:

query=SELECT * FROM table t WHERE t.column IN (?)

接下来，加载查询。然后在运行它之前确定参数的数量。一旦参数计数已知，运行:

sql = any( sql, count );

例如:

/**
 * Converts a SQL statement containing exactly one IN clause to an IN clause
 * using multiple comma-delimited parameters.
 *
 * @param sql The SQL statement string with one IN clause.
 * @param params The number of parameters the SQL statement requires.
 * @return The SQL statement with (?) replaced with multiple parameter
 * placeholders.
 */
public static String any(String sql, final int params) {
    // Create a comma-delimited list based on the number of parameters.
    final StringBuilder sb = new StringBuilder(
        String.join(", ", Collections.nCopies(possibleValue.size(), "?")));

    // For more than 1 parameter, replace the single parameter with
    // multiple parameter placeholders.
    if (sb.length() > 1) {
        sql = sql.replace("(?)", "(" + sb + ")");
    }

    // Return the modified comma-delimited list of parameters.
    return sql;
}

对于某些不支持通过JDBC 4规范传递数组的数据库，此方法可以方便地转换缓慢的= ?转换为更快的IN(?)子句条件，然后可以通过调用any方法进行扩展。

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

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。

这不是理想的做法，但它很简单，大多数时候对我来说都很有效。

where ? like concat( "%|", TABLE_ID , "|%" ) 

然后你穿过?|1|，|2|，|3|，…|

在javaranche Journal上Jeanne Boyarsky的JDBC批处理选择语句条目中，有对各种可用选项及其优缺点的分析。

建议的方案是:

Prepare SELECT my_column FROM my_table WHERE search_column = ?, execute it for each value and UNION the results client-side. Requires only one prepared statement. Slow and painful. Prepare SELECT my_column FROM my_table WHERE search_column IN (?,?,?) and execute it. Requires one prepared statement per size-of-IN-list. Fast and obvious. Prepare SELECT my_column FROM my_table WHERE search_column = ? ; SELECT my_column FROM my_table WHERE search_column = ? ; ... and execute it. [Or use UNION ALL in place of those semicolons. --ed] Requires one prepared statement per size-of-IN-list. Stupidly slow, strictly worse than WHERE search_column IN (?,?,?), so I don't know why the blogger even suggested it. Use a stored procedure to construct the result set. Prepare N different size-of-IN-list queries; say, with 2, 10, and 50 values. To search for an IN-list with 6 different values, populate the size-10 query so that it looks like SELECT my_column FROM my_table WHERE search_column IN (1,2,3,4,5,6,6,6,6,6). Any decent server will optimize out the duplicate values before running the query.

这些选择都不理想。

如果您正在使用JDBC4并且服务器支持x = ANY(y)，那么最好的选择是使用PreparedStatement。setArray的描述在鲍里斯的回答。

不过，似乎没有任何方法可以使setArray与IN-lists一起工作。

有时SQL语句是在运行时加载的(例如，从属性文件中加载)，但需要可变数量的参数。在这种情况下，首先定义查询:

query=SELECT * FROM table t WHERE t.column IN (?)

接下来，加载查询。然后在运行它之前确定参数的数量。一旦参数计数已知，运行:

sql = any( sql, count );

例如:

/**
 * Converts a SQL statement containing exactly one IN clause to an IN clause
 * using multiple comma-delimited parameters.
 *
 * @param sql The SQL statement string with one IN clause.
 * @param params The number of parameters the SQL statement requires.
 * @return The SQL statement with (?) replaced with multiple parameter
 * placeholders.
 */
public static String any(String sql, final int params) {
    // Create a comma-delimited list based on the number of parameters.
    final StringBuilder sb = new StringBuilder(
        String.join(", ", Collections.nCopies(possibleValue.size(), "?")));

    // For more than 1 parameter, replace the single parameter with
    // multiple parameter placeholders.
    if (sb.length() > 1) {
        sql = sql.replace("(?)", "(" + sb + ")");
    }

    // Return the modified comma-delimited list of parameters.
    return sql;
}

对于某些不支持通过JDBC 4规范传递数组的数据库，此方法可以方便地转换缓慢的= ?转换为更快的IN(?)子句条件，然后可以通过调用any方法进行扩展。

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)
}