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;

SELECT K.LOG_TIME ,COUNT(K.USER_ID) AS 当天的新增用户数 ,COUNT(B.USER_ID) AS 1 日留存率 ,COUNT(C.USER_ID) AS 7 日留存率 ,COUNT(D.USER_ID) AS 30 日留存率 FROM ( SELECT A.USER_ID ,A.LOG_TIME FROM TAB1 A GROUP BY A.USER_ID,A.LOG_TIME ) K LEFT JOIN (SELECT A.USER_ID ,A.LOG_TIME FROM TAB1 A GROUP BY A.USER_ID,A.LOG_TIME ) B ON B.USER_ID = K.USER_ID AND B.LOG_TIME = K.LOG_TIME + 1 LEFT JOIN (SELECT A.USER_ID ,A.LOG_TIME FROM TAB1 A GROUP BY A.USER_ID,A.LOG_TIME) C ON C.USER_ID = K.USER_ID AND C.LOG_TIME = K.LOG_TIME + 6 LEFT JOIN (SELECT A.USER_ID ,A.LOG_TIME FROM TAB1 A GROUP BY A.USER_ID,A.LOG_TIME ) D ON D.USER_ID = K.USER_ID AND D.LOG_TIME = K.LOG_TIME + 29 WHERE K.LOG_TIME = DATE'2019-05-01' GROUP BY K.LOG_TIME ORDER BY K.LOG_TIME ; 这句sql是什么意思

A.USER_ID, A.LOG_TIME) K LEFT JOIN (SELECT A.USER_ID, A.LOG_TIME FROM TAB1 A GROUP BY A.USER_ID, A.LOG_TIME) B ON B.USER_ID = K.USER_ID AND B.LOG_TIME = K.LOG_TIME + 1 LEFT JOIN ...

Unknown column 'APPLY_MASTER.id' in 'field list'"

SELECT APPLY_MASTER.id, APPLY_DETAIL.name FROM APPLY_MASTER JOIN APPLY_DETAIL ON APPLY_MASTER.id = APPLY_DETAIL.master_id; 在这个查询语句中，我们使用了JOIN语句将两个表关联起来，并且使用了正确的...

group by t.main_order_no order by t.data_date

这是一个 SQL 语句片段...其中，group by t.main_order_no 表示按照 t.main_order_no 字段进行分组，order by t.data_date 表示按照 t.data_date 字段进行排序。具体的含义需要根据完整的 SQL 语句和数据表结构来确定。

select * from user left join log on user.user_id = log.user_id where log.user_id>10如何优化

这个 SQL 查询语句的性能优化主要有两个方面可以考虑。第一个方面是对查询语句进行优化。可以在 user 表和 log 表上创建索引，以提高查询的性能。对于这个查询语句，在 user 表上可以创建 user_id 的索引，在 log ...

优化这个sql SELECT count( 1 ) FROM ( SELECT B.ID, B.PURCHASE_REQUEST_ID, B.MATERIAL_ID, B.MATERIAL_CODE, B.MATERIAL_NAME, B.STANDARD, B.MODEL_ID, B.BILL_ROW_ID, B.BILL_NO, BILL_NAME, B.MODEL_CODE, B.MODEL_NAME, B.PARENT_MODEL_ID, B.PARENT_MODEL_CODE, B.PARENT_MODEL_NAME, B.UNIT_CODE, B.UNIT_NAME, B.PURCHASE_TYPE_CODE, CAST( NVL( B.APPLY_NUM, 0 ) AS NUMBER ( 24, 10 ) ) AS APPLY_NUM, CAST( NVL( B.DEAL_NUM, 0 ) AS NUMBER ( 24, 10 ) ) AS DEAL_NUM, CAST( NVL( B.RETURN_NUM, 0 ) AS NUMBER ( 24, 10 ) ) AS RETURN_NUM, B.DEAL_USER_ID, B.DEAL_USER_NAME, CAST( NVL( B.PRICE, 0 ) AS NUMBER ( 24, 10 ) ) AS PRICE, CAST( NVL( B.AMOUNT, 0 ) AS NUMBER ( 24, 10 ) ) AMOUNT, B.IMPLEMENT_CODE, B.IMPLEMENT_NAME, B.IMPLEMENT_INVEST_AMOUNT, B.PURCHASE_MANAGER_ID, B.PURCHASE_MANAGER_NAME, B.PROVIDER_ID, B.PROVIDER_NAME, B.REMARK, B.DELIVER_AREA, B.DELIVER_ADDRESS, B.RECEIVE_PEOPLE, B.RECEIVE_PEOPLE_PHONE, B.ITEM_STATUS, B.COST_CENTER, B.COST_BUDGET_CODE, B.COST_IMPLEMENT_NAME, B.FRAME_CONT_ID, B.FRAME_CONT_CODE, B.FRAME_CONT_NAME, B.DETAIL_CONFIG, B.PURCHASE_CATEGORY_CODE, B.INVOICE_TITLE_CODE, B.INVOICE_SEND_ADDRRSS, B.MATERIAL_REQUEST_ITEM_ID, B.YEAR, B.DELETE_FLAG, B.PROVINCE_CODE, B.REASON, B.PARENT_ITEM_ID, B.FRAME_CONT_ITEM_ID, B.SUB_MATERIAL_REQUEST_ID, B.SUB_MATERIAL_REQUEST_CODE, B.MATERIAL_URL, B.RECOMMEND_PROVIDER_NAMES, C.PURCHASE_REQUEST_CODE, C.PURCHASE_REQUEST_NAME, C.APPLY_TYPE_CODE, C.CREATOR_NAME, C.APPLY_TELEPHONE, C.COMPANY_NAME, C.DEPT_NAME, B.CREATE_TIME, TO_CHAR( B.CREATE_TIME, 'YYYY-MM-DD' ) CREATE_TIME_STR, C.ARRIVE_TIME, C.IS_TO_END, C.MONEY_WAY_CODE, C.OWN, C.APPLY_CATEGORY_CODE, C.manu_Type, C.BILL_ID, MMD.MATERIAL_TYPE_CODE, B.BRANCH_COMPANY_DEAL_USER_ID, B.BRANCH_COMPANY_DEAL_USER_NAME, ( SELECT ORG_NAME FROM ORGANIZATIONS WHERE DELETE_FLAG = '0' AND ORG_CODE = ( SELECT PARENT_COMPANY_NO FROM ORGANIZATIONS WHERE ID = B.MATERIAL_DEPT_ID )) AS MATERIAL_COMPANY_NAME, B.ORIGINAL, B.PROVIDER_PRODUCT_MODEL, B.PROVIDER_PRODUCT_NAME, B.PRODUCT_DESC, B.Back_Flag, CASE WHEN MMD.material_type_code = 'WZ' THEN '1' WHEN MMD.material_type_code = 'FW' THEN '2' ELSE '3' END apply_category_code_item, NVL( C.IS_CARDSYSTEM_REQUEST, '0' ) IS_CARDSYSTEM_REQUEST, B.APPLY_GROUP_AUTHORITES, B.SCIENTIFIC_RESEARCH_ID, B.SCIENTIFIC_RESEARCH_CODE, B.SCIENTIFIC_RESEARCH_NAME, B.PREQUALFY_CODE, nvl( C.IS_QUICK, '0' ) AS IS_QUICK, C.PURCHASE_WAY_CODE, C.PURCHASE_TYPE_CODE PURCHASE_TYPE_CODE_P, C.ORIGINAL_TYPE, C.PURCHASE_REQUEST_BILLS_TYPE, B.IS_FRAME_CONT_MONAD FROM PURCHASE_REQUEST_ITEM B LEFT JOIN PURCHASE_REQUEST C ON B.PURCHASE_REQUEST_ID = C.ID LEFT JOIN MATERIAL_DATA MMD ON MMD.ID = B.MATERIAL_ID AND MMD.DELETE_FLAG = '0' WHERE B.delete_flag = '0' AND B.Item_Status IN ( 1 ) AND NOT EXISTS ( SELECT * FROM purchase_request_item_log pril WHERE B.id = pril.purchase_request_item_id AND pril.lock_status = '1' AND pril.delete_flag = '0' ) AND ( ( c.apply_type_code NOT IN ( '20', '41', '3' ) AND nvl( B.Apply_Num, 0 ) > nvl( B.Deal_Num, 0 )) OR c.apply_type_code IN ( '20', '41', '3' ) ) AND B.Deal_User_Id =: 1 AND C.MONEY_WAY_CODE =: 2 AND C.APPLY_TYPE_CODE =: 3 AND C.PAY_OUT_TYPE_CODE =: 4 AND C.APPLY_CATEGORY_CODE =: 5 AND NVL( C.IS_CARDSYSTEM_REQUEST, '0' ) = : 6 AND NOT EXISTS ( SELECT * FROM purchase_request_item p left join material_province mp ON p.material_id = mp.material_id WHERE p.delete_flag = 0 AND mp.delete_flag = 0 AND mp.material_status = 03 AND mp.org_code = p.province_code AND p.id = B.id ) ORDER BY C.ID, B.ID ASC)

下面是优化后的 SQL： SELECT COUNT(1) FROM ( SELECT b.ID, b.PURCHASE_REQUEST_ID, b.MATERIAL_ID, b.MATERIAL_CODE, b.MATERIAL_NAME, b.STANDARD, b.MODEL_ID, b.BILL_ROW_ID, b.BILL_NO, b.BILL_...

SELECT bs.report_no, bs.sample_id, bs.test_id, bs.service_type, bs.sample_name, bs.total_fee, bs.receivable_fee, bs.sample_no, bs.ranges, bs.grade, bs.sample_remark AS remark, bs.factory, bs.item_name, bs.apply_dept, bs.specification, bs.factory_number, bs.calibrat_point, bs.mandatory_flag, bs.inspection_type, bs.report_org_name, bs.plan_complete_date, bs.standard_instrument_name, bs.bleeding_site_name, bs.arrive_date, DATEDIFF( bs.plan_complete_date, NOW()) AS surplus_days, bs.order_no, bs.order_type, bs.customer_name, bs.order_id, bs.business_type, bs.group_id, bs.group_name, bs.item_id, bs.is_merge, bs.pass_time, bs.audit_time, bs.report_id, bs.compile_time, bs.generate_time, bs.pass_user_name, bs.audit_user_name, bs.compile_user_name, bs.report_state, bs.is_just_certificate, bs.label_price, bs.labor_cost, bs.product_type, bs.batch_number, bs.original_number, bs.type_no, bs.template_id, bs.template_version, bs.standard_instrument_id, bs.standard_instrument_name, bs.report_query_code, bs.test_user_id, bs.test_user_name, bs.test_time, bs.review_user_id, bs.review_user_name, bs.review_time, bs.or_number, bs.test_result, bs.test_result_text, bs.test_date, bs.test_address, bs.result_value, bs.unit, bs.test_dept_id, bs.test_dept_name, bs.sample_mass, bs.form, bs.color, bs.clarity, bs.amplification_detection, bs.precious_metal, bs.remarks, bs.photo, bs.identifying_code, bs.diamond_quality, bs.hand_ring, bs.craft, bs.instrument_photo, bs.customer_item_basis, bs.quality_photo, bs.check_point, bs.check_code, bs.mass_unit, bs.manufacturer_name, bs.manufacturer_addr, bs.result_sample_describe AS sampleDescribe, bs.test_rule AS metalRuleIdsStr, bsa.attach_id FROM view_sample_info bs JOIN bus_sample_report bsr ON bs.report_id = bsr.id JOIN bus_sample sa ON bsr.sample_id = sa.id JOIN bus_sample_attr bsa ON sa.id = bsa.id 需要按照bs.report_no 的整数来从小到大进行排序

你可以使用以下SQL语句来按照bs.report_no的整数值从小到大进行排序： sql SELECT bs.report_no, bs.sample_id, bs.test_id, bs.service_type, bs.sample_name, bs.total_fee, bs.receivable_fee, bs....

请优化一下sqlSELECT u.username, u.email, r.role_name, r.role_id FROM ts_user_role ur LEFT JOIN ts_user u on u.user_id = ur.user_id left join ts_role r on ur.role_id = r.role_id WHERE u.del_flag = '0' AND u.user_id = ur.user_id AND ur.role_id = r.role_id 如果改用户拥有多个角色请显示到role_name中，没有角色则显示无

以下是优化后的 SQL 语句： SELECT u.username, u.email, IFNULL(GROUP_CONCAT(r.role_name SEPARATOR ', '), '无') AS role_name FROM ts_user_role ur LEFT JOIN ts_user u ON u.user_id = ur.user_id LEFT ...

select * from user left join log on useruser_id = log.user_id where log.user_id>10如何优化

对于这个SQL语句，可以考虑以下优化方法： 1. 添加索引：在表user和log的user_id字段上添加索引，可以提高查询效率。 2. 改变查询顺序：将where条件中的log.user_id > 10放到join条件中，可以避免对user表的全表...

select*from user left join log on user.user_id = log.user_id where log.user_id>10 如何优化这个SQL语句

优化SQL语句可以使用以下几种方法： 1. 确保在查询中使用了正确的索引。可以使用“EXPLAIN”命令来检查查询的执行计划，找到瓶颈所在的操作，并确定是否使用了索引。 2. 在使用LEFT JOIN等联接语句时，确保联接的表...

sql优化：explain select pp.id, pp.lot_id, pp.lot_no, pp.measurement, pp.is_long_rent, pp.rent_license_plate, pp.rent_user, pp.rent_start_time, pp.rent_end_time, pp.create_time, pp.create_by, pp.update_time, pp.update_by, pp.is_deleted, pp.per_type, pp.space_no, CASE WHEN fo.order_no is not null AND pp.status=1 THEN 1 WHEN fo.order_no is not null AND pp.status=0 THEN 2 WHEN pp.status = 2 THEN 3 WHEN fo.order_no is null THEN 0 ELSE pp.status END as status, fo.license_plate from par_per pp left join fd_ord fo on pp.space_no = fo.space_no and fo.status = 0 and (pp.status = 0 or pp.status = 1) where pp.lot_id in (select pl.id from par_lot pl inner join sys_user_par sup on pl.id = sup.parking_id and sup.user_id = 1) AND (pp.status = 0 or pp.status = 1) AND pp.is_deleted = 0 group by pp.space_no order by status desc

为了优化这个 SQL 查询，我们可以做以下几点改进： 1. 索引优化：确保 par_per 表和 par_lot 表的相关字段上都有合适的索引，例如 par_per.lot_id、par_per.space_no、par_per.status、par_per.is_...

bs.report_no 是 varchar

如果bs.report_no是varchar类型的，并且其中只包含数字，你可以使用以下SQL语句进行排序： sql SELECT bs.report_no, bs.sample_id, bs.test_id, bs.service_type, bs.sample_name, bs.total_fee, bs....

session.createSQLQuery 查询 SELECT NEXT VALUE FOR dbo.AR_MAWB_ID 示例

String sql = "SELECT NEXT VALUE FOR dbo.AR_MAWB_ID"; SQLQuery query = session.createSQLQuery(sql); BigInteger result = (BigInteger) query.uniqueResult(); 这将返回一个 BigInteger 类型的值，表示下...

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Unknown column 'APPLY_MASTER.id' in 'field list'"

group by t.main_order_no order by t.data_date

select * from user left join log on user.user_id = log.user_id where log.user_id>10如何优化

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select*from user left join log on user.user_id = log.user_id where log.user_id>10 如何优化这个SQL语句

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