本文整理汇总了Java中java.sql.JDBCType.DOUBLE属性的典型用法代码示例。如果您正苦于以下问题：Java JDBCType.DOUBLE属性的具体用法？Java JDBCType.DOUBLE怎么用？Java JDBCType.DOUBLE使用的例子？那么, 这里精选的属性代码示例或许可以为您提供帮助。您也可以进一步了解该属性所在类java.sql.JDBCType的用法示例。
在下文中一共展示了JDBCType.DOUBLE属性的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: rowsetUsingDataTypes
@DataProvider(name = "rowsetUsingDataTypes")
protected Object[][] rowsetUsingDataTypes() throws Exception {
CachedRowSet rs = createDataTypesRowSet();
return new Object[][]{
{rs, JDBCType.INTEGER},
{rs, JDBCType.CHAR},
{rs, JDBCType.VARCHAR},
{rs, JDBCType.BIGINT},
{rs, JDBCType.BOOLEAN},
{rs, JDBCType.SMALLINT},
{rs, JDBCType.DOUBLE},
{rs, JDBCType.DECIMAL},
{rs, JDBCType.REAL},
{rs, JDBCType.TINYINT},
{rs, JDBCType.DATE},
{rs, JDBCType.TIME},
{rs, JDBCType.TIMESTAMP},
{rs, JDBCType.VARBINARY},
{rs, JDBCType.ARRAY},
{rs, JDBCType.REF},
{rs, JDBCType.FLOAT}
};
}
示例2: jdbcType
public static JDBCType jdbcType(Type type)
{
if (type.equals(BooleanType.BOOLEAN)) {
return JDBCType.BOOLEAN;
}
if (type.equals(BigintType.BIGINT) || type.equals(TimestampType.TIMESTAMP)) {
return JDBCType.BIGINT;
}
if (type.equals(DoubleType.DOUBLE)) {
return JDBCType.DOUBLE;
}
if (type.equals(DateType.DATE)) {
return JDBCType.INTEGER;
}
if (type.equals(VarcharType.VARCHAR)) {
return JDBCType.VARBINARY;
}
return null;
}
示例3: jdbcType
public static JDBCType jdbcType(FieldType type) {
if (type.equals(FieldType.BOOLEAN)) {
return JDBCType.BOOLEAN;
}
if (type.equals(LONG) || type.equals(TIMESTAMP)) {
return JDBCType.BIGINT;
}
if (type.equals(FieldType.INTEGER)) {
return JDBCType.INTEGER;
}
if (type.equals(FieldType.DOUBLE)) {
return JDBCType.DOUBLE;
}
if (type.equals(FieldType.DATE)) {
return JDBCType.INTEGER;
}
if (type.equals(FieldType.STRING)) {
return VARBINARY;
}
return null;
}
示例4: initialized
/**
* 初始化阶段
* 具体执行顺序 http://www.mybatis.org/generator/reference/pluggingIn.html
* @param introspectedTable
* @return
*/
@Override
public void initialized(IntrospectedTable introspectedTable) {
// 1. 首先获取全局配置
Properties properties = getProperties();
String logicalDeleteColumn = properties.getProperty(PRO_LOGICAL_DELETE_COLUMN);
this.logicalDeleteValue = properties.getProperty(PRO_LOGICAL_DELETE_VALUE);
this.logicalUnDeleteValue = properties.getProperty(PRO_LOGICAL_UN_DELETE_VALUE);
// 2. 获取表单独配置，如果有则覆盖全局配置
if (introspectedTable.getTableConfigurationProperty(PRO_LOGICAL_DELETE_COLUMN) != null) {
logicalDeleteColumn = introspectedTable.getTableConfigurationProperty(PRO_LOGICAL_DELETE_COLUMN);
}
if (introspectedTable.getTableConfigurationProperty(PRO_LOGICAL_DELETE_VALUE) != null) {
this.logicalDeleteValue = introspectedTable.getTableConfigurationProperty(PRO_LOGICAL_DELETE_VALUE);
}
if (introspectedTable.getTableConfigurationProperty(PRO_LOGICAL_UN_DELETE_VALUE) != null) {
this.logicalUnDeleteValue = introspectedTable.getTableConfigurationProperty(PRO_LOGICAL_UN_DELETE_VALUE);
}
// 3. 判断该表是否存在逻辑删除列
this.logicalDeleteColumn = null;
List<IntrospectedColumn> columns = introspectedTable.getAllColumns();
for (IntrospectedColumn column : columns) {
if (column.getActualColumnName().equalsIgnoreCase(logicalDeleteColumn)) {
// 判断字段类型
JDBCType type = JDBCType.valueOf(column.getJdbcType());
if (JDBCType.BIGINT == type
|| JDBCType.BIT == type
|| JDBCType.BOOLEAN == type
|| JDBCType.CHAR == type
|| JDBCType.DECIMAL == type
|| JDBCType.DOUBLE == type
|| JDBCType.FLOAT == type
|| JDBCType.INTEGER == type
|| JDBCType.LONGNVARCHAR == type
|| JDBCType.LONGVARCHAR == type
|| JDBCType.NCHAR == type
|| JDBCType.NUMERIC == type
|| JDBCType.NVARCHAR == type
|| JDBCType.SMALLINT == type
|| JDBCType.TINYINT == type
|| JDBCType.VARCHAR == type) {
this.logicalDeleteColumn = column;
} else {
warnings.add("itfsw(逻辑删除插件):" + introspectedTable.getFullyQualifiedTable() + "逻辑删除列(" + introspectedTable.getTableConfigurationProperty(PRO_LOGICAL_DELETE_COLUMN) + ")的类型不在支持范围（请使用数字列，字符串列，布尔列）！");
}
}
}
if (introspectedTable.getTableConfigurationProperty(PRO_LOGICAL_DELETE_COLUMN) != null && this.logicalDeleteColumn == null) {
warnings.add("itfsw(逻辑删除插件):" + introspectedTable.getFullyQualifiedTable() + "没有找到您配置的逻辑删除列(" + introspectedTable.getTableConfigurationProperty(PRO_LOGICAL_DELETE_COLUMN) + ")！");
}
// 4. 判断逻辑删除值是否配置了
if (this.logicalDeleteColumn != null && (this.logicalDeleteValue == null || this.logicalUnDeleteValue == null)) {
warnings.add("itfsw(逻辑删除插件):" + introspectedTable.getFullyQualifiedTable() + "没有找到您配置的逻辑删除值，请全局或者局部配置logicalDeleteValue和logicalUnDeleteValue值！");
}
// 5. 获取逻辑删除常量值
this.logicalDeleteConstName = properties.getProperty(PRO_LOGICAL_DELETE_CONST_NAME) != null ? properties.getProperty(PRO_LOGICAL_DELETE_CONST_NAME).toUpperCase() : DEFAULT_LOGICAL_DELETE_CONST_NAME;
this.logicalUnDeleteConstName = properties.getProperty(PRO_LOGICAL_UN_DELETE_CONST_NAME) != null ? properties.getProperty(PRO_LOGICAL_UN_DELETE_CONST_NAME).toUpperCase() : DEFAULT_LOGICAL_UN_DELETE_CONST_NAME;
// 6. 防止增强的selectByPrimaryKey中逻辑删除键冲突
if (this.logicalDeleteColumn != null) {
Field logicalDeleteField = JavaBeansUtil.getJavaBeansField(this.logicalDeleteColumn, context, introspectedTable);
if (logicalDeleteField.getName().equals(PARAMETER_LOGICAL_DELETED)) {
this.logicalDeleteColumn = null;
warnings.add("itfsw(逻辑删除插件):" + introspectedTable.getFullyQualifiedTable() + "配置的逻辑删除列和插件保留关键字(" + PARAMETER_LOGICAL_DELETED + ")冲突！");
}
}
}
示例5: getSqlType
@Override
public SQLType getSqlType () {
return JDBCType.DOUBLE;
}