SELECT id,type,content,order_code AS icpOrder,remark,create_time,operator FROM icp_local_black LIMIT ?

这段SQL语句是在查询数据库表`icp_local_black`中的数据。具体来说：

- `SELECT`关键字用于选择要检索的列，这里包括`:id`, `type`, `content`, `order_code`重命名为了`icpOrder`, `remark`, `create_time`, 和 `operator`。
- `FROM`后面跟着表名，这里是`icp_local_black`。
- `LIMIT ?`表示只返回前一定数量的结果，这里的`?`是一个占位符，通常会用参数替换，用于指定查询结果的数量。

这条语句的功能可能是从`icp_local_black`表中获取特定id范围（如果`LIMIT`后跟的是一个数字）或特定条数的记录，其中包含了id、类型(type)、内容(content)、ICP订单编号（即修改后的`order_code`）、备注(remark)、创建时间(create_time)以及操作员(operator)信息。

如果你想要执行这个查询，你需要提供一个具体的值给`LIMIT`后面的问号。例如，如果你想获取前10条记录，你可以这么写：

SELECT id, type, content, order_code AS icpOrder, remark, create_time, operator 
FROM icp_local_black 
LIMIT 10;

相关问题

<sql id="selectIndustryFormFileldSetVo"> select id, create_by,buy_type, create_time, update_by, update_time, remark, user_id, form_code, field_code, field_type, field_name, no_system, visible, fixed, is_search, is_update, width, order_number,field_json,is_open from industry_form_fileld_set </sql>

您的第一个问题是关于一个 SQL 查询语句。这个查询语句是用来从 "industry_form_fileld_set" 表中检索一些字段的数据。这些字段包括 id、create_by、buy_type、create_time、update_by、update_time、remark、user_id、form_code、field_code、field_type、field_name、no_system、visible、fixed、is_search、is_update、width、order_number、field_json 和 is_open。

优化以下SQL select pao.id, pao.order_no, pao.apply_time, pao.purchase_user_id, pao.purchase_user_name, pao.apply_user_id, pao.apply_user_name, pao.apply_department_id, pao.apply_department_name, pao.apply_end_time, pao.create_user_id, pao.create_user_name, pao.approve_type, pao.approve_user_id, pao.approve_user_name, pao.approve_time, pao.description, pao.order_type, pao.purchase_type, pao.storage_type, pao.compose_order_no, pao.company_id, pao.delete, pao.create_time, pao.update_time, pao.supplier_id, pao.image_path, pao.contract_id, pao.status, pao.invoice_signer_name, pao.total_amount, pao.total_amount_tax, pao.purchase_status, pao.cancel_reason, pao.print_status, pao.demand_id, pao.arrival_status, pao.supervise_num, pao.supervise_date, pao.merge_apply_id, pao.deadline, pao.remind , s.name as supplierName, paod.amount, cm.return_status as returnStatus, cm.inventory_status as inventoryStatus, cm.stock_remark, cm.merge_flag, cm.signature_file, cm.department_pass, cm.receipt_file, cm.amount_paid, cm.amount_unpaid, cm.contract_name, cm.status as contractStatus, cm.contract_no, cm.contract_amount, paod.product_name, cm.advance_payment, cm.advance_ratio, cm.currency_unit from purchase_apply_order pao left join supplier s on pao.supplier_id = s.id left join ( SELECT GROUP_CONCAT(distinct p.product_name) product_name, sum(IFNULL(amount_tax, 0)) amount, apply_order_no from purchase_apply_order_details pa left join product p on p.pn_code = pa.product_code where p.company_id = 29 GROUP BY apply_order_no ) paod on paod.apply_order_no = pao.order_no left join contract_management cm on pao.contract_id = cm.id where pao.delete = 0 and pao.company_id = 29 and deadline <= '2023-05-25 15:34:00.01' and remind = 0 and arrival_status in( 0 , 1 ) order by pao.create_time desc;

首先，我们可以对该 SQL 查询语句进行简化，只选择需要的字段而不是全部选择。其次，我们可以尝试添加索引以加快查询速度。

以下是优化后的 SQL 查询语句：

SELECT pao.id, pao.order_no, pao.apply_time, pao.purchase_user_id, pao.purchase_user_name, pao.apply_user_id, 
       pao.apply_user_name, pao.apply_department_id, pao.apply_department_name, pao.apply_end_time, pao.create_user_id, 
       pao.create_user_name, pao.approve_type, pao.approve_user_id, pao.approve_user_name, pao.approve_time, 
       pao.description, pao.order_type, pao.purchase_type, pao.storage_type, pao.compose_order_no, pao.company_id, 
       pao.delete, pao.create_time, pao.update_time, pao.supplier_id, pao.image_path, pao.contract_id, pao.status, 
       pao.invoice_signer_name, pao.total_amount, pao.total_amount_tax, pao.purchase_status, pao.cancel_reason, 
       pao.print_status, pao.demand_id, pao.arrival_status, pao.supervise_num, pao.supervise_date, pao.merge_apply_id, 
       pao.deadline, pao.remind, s.name AS supplierName, paod.amount, cm.return_status AS returnStatus, 
       cm.inventory_status AS inventoryStatus, cm.stock_remark, cm.merge_flag, cm.signature_file, cm.department_pass, 
       cm.receipt_file, cm.amount_paid, cm.amount_unpaid, cm.contract_name, cm.status AS contractStatus, 
       cm.contract_no, cm.contract_amount, paod.product_name, cm.advance_payment, cm.advance_ratio, cm.currency_unit
FROM purchase_apply_order pao 
LEFT JOIN supplier s ON pao.supplier_id = s.id 
LEFT JOIN (
    SELECT GROUP_CONCAT(DISTINCT p.product_name) product_name, SUM(IFNULL(amount_tax, 0)) amount, apply_order_no 
    FROM purchase_apply_order_details pa 
    LEFT JOIN product p ON p.pn_code = pa.product_code 
    WHERE p.company_id = 29 
    GROUP BY apply_order_no 
) paod ON paod.apply_order_no = pao.order_no 
LEFT JOIN contract_management cm ON pao.contract_id = cm.id 
WHERE pao.delete = 0 
  AND pao.company_id = 29 
  AND deadline <= '2023-05-25 15:34:00.01' 
  AND remind = 0 
  AND arrival_status IN (0, 1) 
ORDER BY pao.create_time DESC;

我们可以为 `purchase_apply_order` 表的 `company_id` 字段和 `deadline` 字段以及 `remind` 字段创建索引。同时，也可以为 `arrival_status` 字段和 `delete` 字段创建索引。这可以大大加快查询速度。

CREATE INDEX idx_purchase_apply_order_company_id_deadline_remind ON purchase_apply_order (company_id, deadline, remind);

CREATE INDEX idx_purchase_apply_order_arrival_status_delete ON purchase_apply_order (arrival_status, delete);