操作： 使用SQL语句查询重复的数据有哪些： SELECT * from brand WHERE brandName IN( select brandName from brand GROUP BY brandName...WHERE brandName IN (select brandName from brand GROUP BY brandName HAVING COUNT(brandName)>1) AND Id...NOT IN (select MIN(Id) from brand GROUP BY brandName HAVING COUNT(brandName)>1) 提示： You can't specify...IN (SELECT brandName FROM (SELECT brandName FROM brand GROUP BY brandName HAVING COUNT(brandName)>1)...e) AND Id NOT IN (SELECT Id FROM (SELECT MIN(Id) AS Id FROM brand GROUP BY brandName HAVING COUNT(brandName
; } public void setBrandName(String brandName) { this.brandName = brandName; }...= null and brandName!...= null and brandName!...= null and brandName!...=null and brandName !
= "华为"; //处理参数 companyName="%"+companyName+"%"; brandName="%"+brandName+"%"...= "华为"; //处理参数 companyName="%"+companyName+"%"; brandName="%"+brandName+"%"...=null and brandName!...null and brandName !...=null and brandName !
; } public void setBrandName(String brandName) { this.brandName = brandName; }...= null and brandName !...= null and brandName !...= null and brandName !...= null and brandName !
; } public void setBrandName(String brandName) { this.brandName = brandName; }...", brandName); // 1....= null and brandName !...= null and brandName != ''"><!...= null and brandName !
, status: '1', }, { brandName..., status: '1', }, { brandName..., status: '1', }, { brandName..., status: '1', }, { brandName...// 表格数据 tableData: [{ brandName
; } public void setBrandName(String brandName) { this.brandName = brandName; } public...= "华为"; // 处理参数 companyName = "%" + companyName + "%"; brandName = "%" + brandName...= null and brandName !...= '' "> and brand_name like #{brandName} ...= null and brandName != ''"> <!
:{ "type": "date" }, "categoryName":{ "type": "keyword" }, "brandName...goodsImg":"111", "price":"543300", "createDate":"2022-01-01", "categoryName":"手机", "brandName...goodsImg":"111", "price":"543300", "createDate":"2022-01-01", "categoryName":"手机", "brandName...goodsImg":"111", "price":"543300", "createDate":"2022-01-01", "categoryName":"手机", "brandName...goodsImg":"111", "price":"543300", "createDate":"2022-01-01", "categoryName":"手机", "brandName
添加品牌 品牌名称： 企业名称：...function () { // 将表单数据转为 json var formData = { brandName..."", status: "" }; // 获取表单数据 let brandName...= document.getElementById("brandName").value; // 设置数据 formData.brandName
; } public void setBrandName(String brandName) { this.brandName = brandName; }...='" + brandName + '\'' + ", companyName='" + companyName + '\'' + ",...结果：boolean */ @Test public void testAdd() throws Exception { // 接收页面提交的参数 String brandName...设置参数 pstmt.setString(1,brandName); pstmt.setString(2,companyName); pstmt.setInt(3,ordered...设置参数 pstmt.setString(1,brandName); pstmt.setString(2,companyName); pstmt.setInt(3,ordered
; } public void setBrandName(String brandName) { this.brandName = brandName; }..." , brandName); //1....= null and brandName !...= null and brandName !...= null and brandName !
, Type.Smart, 700), new Mobile(BrandName.Apple, Type.Smart), new Mobile(BrandName.Htc..., Type.Basic), new Mobile(BrandName.Samsung, Type.Basic) }; ISpecification samsungExpSpec = new ExpressionSpecification(o => o.BrandName == BrandName.Samsung...== BrandName.Htc); ISpecification SamsungHtcExpSpec = samsungExpSpec.Or(htcExpSpec)...= BrandName.Samsung); var samsungMobiles = mobiles.FindAll(o => samsungExpSpec.IsStatisfiedBy
mainTitle") String mainTitle; @Field(name="subTitle") String subTitle; @Field(name="brandName...") String brandName; @Field(name="categoryName") String categoryName; } es-product.json映射文件内容如下所示..."type": "text", "analyzer": "ik_max_word", "search_analyzer": "ik_max_word" }, "brandName
"); Node classNode = n1.item(0).getFirstChild(); String brandName = classNode.getNodeValue...().trim(); return brandName; } catch (Exception e) { e.printStackTrace...> Hisense Client类 package simplefactory; public class...{ public static void main(String[] args) { try { TV tv; String brandName...= XMLUtilTV.getBrandName(); tv = TVFactory.produceTV(brandName); tv.play();
接收数据,request.getParameter 不能接收json的数据 /* String brandName = request.getParameter("brandName");...// 将表单数据转为json var formData = { brandName:"", companyName:"", ordered:"", description...比如获取用户名的输入框数据，并把该数据赋值给 formData 对象的 brandName 属性 // 获取表单数据 let brandName = document.getElementById("brandName...").value; // 设置数据 formData.brandName = brandName; 说明：其他的输入框都用同样的方式获取并赋值。...= document.getElementById("brandName").value; // 设置数据 formData.brandName = brandName
"orderItemId":"12235", "orderId":"1", "productName":"果冻", "brandName...", "orderId":"1", "productName":"火腿肠", "brandName...", "orderId":"1", "productName":"火腿肠", "brandName...比如上面的例子在 ES 存储的结构是这样的： { "orderId": [ 1 ], "orderItems.productName":["火腿肠","果冻"], "orderItems.brandName...", "orderId":"1", "productName":"火腿肠", "brandName
POST sku/doc { "name":"小米手机", "price":200000, "spuId":101, "createTime":"2019-05-01", "brandName...","categoryName"] } } } "fields":["name","brandName","categoryName"]从这些字段查询小米 4.4 词条匹配-term..."query":{ "bool":{ "filter":{ "match":{ "brandName...field": "price" //分组字段 } }, "sku_brand": { "terms": { "field": "brandName...":"小米"}} ----> TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("brandName", "小米"); ] } }
product:1 $ '{"id":1,"productSn":"7437788","name":"小米8","subTitle":"全面屏游戏智能手机 6GB+64GB 黑色 全网通4G 双卡双待","brandName...product:2 $ '{"id":2,"productSn":"7437789","name":"红米5A","subTitle":"全网通版 3GB+32GB 香槟金 移动联通电信4G手机 双卡双待","brandName...3 $ '{"id":3,"productSn":"7437799","name":"Apple iPhone 8 Plus","subTitle":"64GB 红色特别版 移动联通电信4G手机","brandName...id AS id NUMERIC $.name AS name TEXT $.subTitle AS subTitle TEXT $.price AS price NUMERIC SORTABLE $.brandName...AS brandName TAG 建立完索引后，我们就可以使用FT.SEARCH对数据进行查看了，比如使用*可以查询全部； FT.SEARCH productIdx * 由于我们设置了price
POST sku/doc { "name":"小米手机", "price":200000, "spuId":101, "createTime":"2019-05-01", "brandName...sku/doc/1 { "name":"华为手机", "price":400000, "spuId":"102", "createTime":"2019-05-01", "brandName...sku/doc/1 { "name":"华为手机", "price":400000, "spuId":"102", "createTime":"2019-05-01", "brandName...","categoryName"] } } } 会在name、brandName 、categoryName字段中查询 小米 这个词 2.3.4 词条匹配(term) term查询被用于精确值...Get sku/_search { "query":{ "bool":{ "filter": [ { "match":{ "brandName
"/> <result column="productCategoryId" jdbcType="BIGINT.../** * 根据关键字,产品名称，品牌名称,产品编号搜索 * @param keywords * @param productName * @param <em>brandName</em>...findByKeywordsOrProductNameOrBrandNameOrProductSnOrSubTitle(String keywords,String productName,String <em>brandName</em>...private Long brandId; @Field(analyzer = "ik_max_word",type = FieldType.Text) private String brandName
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