INSERT INTO flower_t_order ( id, point_id, store_id, member_id, tenant_id, channel_id, order_number, payable_amount, paid_amount, discount_amount, brokerage, pay_status, order_status, site_id, self_take_time, pay_type, take_type, create_user, create_time, update_user, update_time, state, remark, actual_amount, delivery_id, member_name ) VALUES (1666323908250439680, 1, 1666012500627427328, 1661213318544756736, 1, 1658768823098150912, 216861175532337, 12101212000.0000000000000000000000000000000000000000000000000000000000000000, 12101212000.0000000000000000000000000000000000000000000000000000000000000000, 0, 12101212000.0000000000000000000000000000000000000000000000000000000000000000,4, 1, 2023-06-07 16:30:00, 0, 1, 1, 2023-06-07 14:01:37, 1, 2023-06-07 14:01:37, 0, 111, 10891089000.00000000000000000000000000000000000000000000000000000000000000000, 1641003167225352192, 18868429216 ) ERROR: syntax error at or near "16" LINE 1: ...00000000000000000000000000000000,4, 1, 2023-06-07 16:30:00.0...

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openstack_配额管理.docx

首先，获取租户ID： $ tenant=$(keystone tenant-list | awk '/tenantName/ {print $2}') 然后，列出租户当前的配额值： $ nova quota-show --tenant $tenant 计算服务的配额包括但不限于...

INSERT INTO flower_t_order ( id, point_id, store_id, member_id, tenant_id, channel_id, order_number, payable_amount, paid_amount, discount_amount, brokerage, pay_status, order_status, site_id, self_take_time, pay_type, take_type, create_user, create_time, update_user, update_time, state, remark, actual_amount, delivery_id, member_name ) VALUES (1666323908250439680, 1, 1666012500627427328, 1661213318544756736, 1, 1658768823098150912, 216861175532337, 12101212000.0000000000000000000000000000000000000000000000000000000000000000, 12101212000.0000000000000000000000000000000000000000000000000000000000000000, 0, 12101212000.0000000000000000000000000000000000000000000000000000000000000000,4, 1, 2023-06-07 16:30:00.0, 0, 1, 1, 2023-06-07 14:01:37.42, 1, 2023-06-07 14:01:37.42, 0, 111, 10891089000.00000000000000000000000000000000000000000000000000000000000000000, 1641003167225352192, 18868429216 )

这是一个 SQL 语句，对应的是向名为 flower_t_order 的订单表插入一条订单记录。该订单记录包括订单的各种属性，如订单 ID、门店 ID、会员 ID、订单编号、应付金额、已付金额、支付状态、订单状态等等。其中，订单的...

select RES.* from FLW_CHANNEL_DEFINITION RES WHERE RES.VERSION_ = (select max(VERSION_) from FLW_CHANNEL_DEFINITION where KEY_ = RES.KEY_ and ( (TENANT_ID_ IS NOT NULL and TENANT_ID_ = RES.TENANT_ID_) or (TENANT_ID_ IS NULL and RES.TENANT_ID_ IS NULL) ) ) order by RES.ID_ asc ### Cause: java.sql.SQLSyntaxErrorException: ORA-00942: 表或视图不存在

这是一个 SQL 查询语句，目的是查询 FLW_CHANNEL_DEFINITION 表中最新版本的记录，并按照 ID 升序排序。但是，查询出现了错误，原因是表或视图不存在（ORA-00942 错误）。可能的原因是表 FLW_CHANNEL_DEFINITION ...

INSERT INTO base_dept(tenant_id,code,create_time,data_version,last_modify_time,recursion_user_num,pid,id_path,children_num,principal_id,dept_level,current_user_num,custom_order,name_path,last_modify_user,name,id,create_user,delete_flag) VALUES (0,'root',to_date('2020-08-08 00:00:00'),1,to_date('2020-08-08 00:00:00'),0,0,'/',0,1,1,0,1,'→',1,'根部门',1,1,'0'); INSERT INTO base_password(secret_key,password,id,iterations,algorithm) VALUES ('4bfc65773cfbfc4beabb5a89da366fce','992a65ce0896f61540ae3f34a03042e315b48c0e9ed7a48d3cc6e5860440ce9244f55ce448fd8cc4c71852ca1103a5ae7eb96530038babf2480d515fdbd5c7d1',1,11111,'PBKDF2WithHmacSHA256'); INSERT INTO base_user(tenant_id,work_num,create_time,data_version,last_modify_time,main_tenant_id,is_enabled,last_modify_user,mobilephone,name,id,create_user,delete_flag,account,email) VALUES (0,'',to_date('2020-08-08 00:00:00'),1,to_date('2020-08-08 00:00:00'),0,1,1,'','超级管理员',1,1,'0','admin','');

第一个 INSERT INTO 语句向 base_dept 表中插入了一个根部门，第二个 INSERT INTO 语句向 base_password 表中插入了一个密码条目，第三个 INSERT INTO 语句向 base_user 表中插入了一个超级管理员用户。这些数据都是...

请优化这段代码select * from ( select order_bill_id , counterfoil_no , counterfoil_amt , acceptor , company_id , cert_no , company_name , rate , expiry_date , transaction_amt , create_date , update_date , partner_id , partner_name , order_status_code , order_status_msg , transaction_date , tenant_id , platform_id , channel_id , share_profit , settle , row_number()over(partition by order_bill_id order by update_date desc )rn from (select * from dwd_mec_adds_order_bill_inc where dt='2023-06-07' union all select * from dwd_mec_adds_order_bill_inc where dt='2023-06-06')t )r where rn=1

code, order_status_msg, transaction_date, tenant_id, platform_id, channel_id, share_profit, settle, ROW_NUMBER() OVER (PARTITION BY order_bill_id ORDER BY update_date DESC) rn FROM dwd_mec_adds_order...

insert overwrite table discountdw.dwd_sd_adds_order_bill_inc partition(dt = '2023-06-06') select t1.order_bill_id, t1.counterfoil_no, t1.acceptor, date_format(to_utc_timestamp(cast(t1.expiry_date as bigint) ,'GMT-8'),'YYYY-MM-dd'), t2.company_id, t1.cert_no, t1.company_name, t1.third_order_id, t1.counterfoil_amt/10000, t1.transaction_amt/10000, t1.rate, '3bp' as service_tariffing, ((DATEDIFF(to_utc_timestamp(t1.expiry_date ,'GMT-8'),to_utc_timestamp(t1.transaction_date ,'GMT-8') ) + adjust_days)* 0.0003 (counterfoil_amt))/ 360 as service_fee, 360 as total_days, DATEDIFF(to_utc_timestamp(t1.expiry_date ,'GMT-8'),to_utc_timestamp(t1.transaction_date ,'GMT-8') ) + adjust_days as modulation_date, t3.channel_type, t3.bank_name, date_format(to_utc_timestamp(cast(t1.transaction_date as bigint) ,'GMT-8'),'YYYY-MM-dd'), t1.order_status_code, t1.order_status_msg, t4.fee_amt, t4.status, t1.tenant_id, t5.revenue, to_utc_timestamp(cast(t1.create_date as bigint) ,'GMT-8'), to_utc_timestamp(cast(t1.update_date as bigint) ,'GMT-8') from (select from discountdw.ods_adds_order_bill_inc where dt ='2023-06-06' and channel_id=101110004 )t1 left join (select * from mecdw.ods_company_full where platform_id='sdpjw')t2 on t1.cert_no=t2.cert_no and t1.tenant_id=t2.tenant_id left join discountdw.dim_adds_product_full t3 on t1.partner_id=t3.partner_id and t1.product_id=t3.product_id left join (select * from mecdw.dwd_sc_fee_record_full where dt='2023-06-06' and biz_type=2 ) t4 on t1.order_bill_id=t4.third_id left join (select * from discountdw.ods_sd_order_ext_inc where dt='2023-06-06') t5 on t1.order_bill_id=t5.order_bill_id left join sdpjwdw.dim_holiday_info_full t6 on date_format(to_utc_timestamp(t1.expiry_date ,'GMT-8'),'YYYY-MM-dd') = t6.civic_holiday ;

LEFT JOIN company_data c ON o.cert_no = c.cert_no AND o.tenant_id = c.tenant_id LEFT JOIN product_data p ON o.partner_id = p.partner_id AND o.product_id = p.product_id LEFT JOIN fee_data f ON o.order_...

Error updating database. Cause: org.postgresql.util.PSQLException: ERROR: value too long for type character varying(4)\n### The error may exist in com/enjoy/qpms/mapper/RlpLeaveProblemMapper.java (best guess)\n### The error may involve com.enjoy.qpms.mapper.RlpLeaveProblemMapper.insert-Inline\n### The error occurred while setting parameters\n### SQL: INSERT INTO rlp_leave_problem (id, problem_num, problem_desc, review_date, crew_model, problem_location, problem_level, problem_grade, dept_name, dept_id, review_leader, close_condition_count, leave_problem_count, report_num, report_location, pqa_user_name, pqa_user_id, response_user_id, response_user_name, se_user_name, se_user_id, plan_close_date, confirm_colse_user_id, confirm_colse_user_name, problem_status, task_process, process_inst_id, project_no, project_name, project_type, data_source, create_by, creator_id, create_time, update_by, updater_id, update_time, tenant_id) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, '1513461807723360257')\n### Cause: org.postgresql.util.PSQLException: ERROR: value too long for type character varying(4)\n; ERROR: value too long for type character varying(4); nested exception is org.postgresql.util.PSQLException: ERROR: value too long for type character varying(4)

这个错误是由于在将数据插入数据库时，某个字段的值超过了类型为 character varying(4) 的限制。根据错误信息，可能是 problem_num 字段的值过长导致的。请检查代码中对该字段的赋值，确保其长度不超过 4 个字符。...

写个ddl：global_id tenant_id delay no_intent_matched not_info_within_10s deleted create_id create_date update_id update_time

其他字段可以根据实际需求添加，比如tenant_id用来标识租户，create_id和update_id用于跟踪操作历史。然而，如果你希望避免手动干预server_id的情况，create_id和update_id的设计可能会更合适，因为它们...

联合主键为：tenant_id ，business_line_id，robot_id

在Python中，如果要创建一个复合键（如tenant_id, business_line_id, 和 robot_id）来表示一个独特的组合，通常不会直接在字典中这样实现，因为字典的键是唯一的。然而，如果你想要通过这些字段来组织数据并...

select IFNULL(surplus_score,0) from tab_pb_psnl_score where tenant_id= '1478277449404907520' and area_code= '330282109204' and personnel_id = '1656243505334321152' and grid_id = '1610113030392119296' order by creat_time desc limit 1

具体的查询条件是：tenant_id 等于 '1478277449404907520'，area_code 等于 '330282109204'，personnel_id 等于 '1656243505334321152'，grid_id 等于 '1610113030392119296'。最后使用 IFNULL ...

检测一下以下的xml是否符合oracle规范,有没有错误<select id="selectInvoiceFlowDetailAndRelationByOriginalAccountLineNumber" parameterType="com.baiwang.docmanagement.model.dto.DocInvoiceFlowDetailDataDto" resultMap="invoiceDetailAndRelationMap"> SELECT detail.id, detail.parent_id, detail.account_line_number , relation.invoice_no , relation.invoice_code FROM ( SELECT id , account_line_number, parent_id FROM doc_invoice_flow_detail_data WHERE tenant_id = #{invoiceFlowDetail.tenantId,jdbcType=BIGINT} AND account_line_number IN <foreach close=")" collection="invoiceFlowDetail.accountLineNumberList" item="item" open="(" separator=","> #{item} </foreach> ) detail LEFT JOIN( SELECT invoice_no , invoice_code , flow_detail_id FROM doc_invoice_flow_relation_detail_data WHERE tenant_id = #{invoiceFlowDe2tail.tenantId,jdbcType=} ) relation ON detail.id = relation.flow_detail_id </select>

tenant_id = #{invoiceFlowDetail.tenantId,jdbcType=BIGINT} AND account_line_number IN )" collection="invoiceFlowDetail.accountLineNumberList" item="item" open="(" separator=","> #{item} ) ...

UPDATE huake_position_log SET send_over = 1, send_state = 2 WHERE tenant_id = 4 这样可以修改 UPDATE huake_position_log SET send_over = 1, send_state = 2 WHERE tenant_id = 4 AND position_id = 9这样就不行

根据你提供的两个SQL语句，可以看出第一个语句是更新了表中tenant_id为4的所有记录的send_over和send_state字段，而第二个语句是在第一个语句的基础上，添加了一个额外的条件position_id为9。如果你执行第一个语句...

优化SQL select round( ohbmc.after_actual_amount/zz,0) cost_moneyi ,count(distinct case when ddp.orig_plan_rid = -1 then null else ddp.orig_plan_rid end) AS orig_num ,array_agg (dlt.state) AS loading_state ,count(DISTINCT CASE WHEN ddp.sale_planid = -1 THEN NULL ELSE ddp.sale_planid END) AS saleid_num--销地已计划数量 ,array_agg(dto.state) AS saletransport_state from ( SELECT id AS origin_planid , unnest(cabinet_rule_id) cabinet_rule_id -- 判断 next_plan_id 本身是空和 next_plan_id 为 {} ,unnest(case when (next_plan_id is null or next_plan_id[1] is null) then ARRAY[-1]::integer[] else next_plan_id end) as sale_planid --销地计划 , case when dp.plan_receiver_id is null then -1 else dp.plan_receiver_id end orig_plan_rid --产地计划 FROM ods.ods_durian_delivery_plan as dp left join ods.ods_hl_commodity_category as hcc on hcc.category_id = dp.category_id WHERE dp.type = 'ORIGIN' AND dp.deleted = 99 AND dp.tenant_id = 1 and cabinet_rule_id='{8}'or cabinet_rule_id='{9}'or cabinet_rule_id='{10000005}'---取白心火龙果 AND hcc.category_name = '火龙果') as ddp LEFT JOIN ods.ods_durian_loading_task AS dlt ON dlt.plan_id = ddp.origin_planid and dlt.plan_type='ORIGIN' AND dlt.deleted = 99 LEFT JOIN ods.ods_durian_transport_order AS dto ON dto.plan_id = ddp.sale_planid AND dto.deleted = 99 LEFT JOIN ods.ods_durian_receipt_task AS drt ON drt.plan_id = ddp.sale_planid AND drt.deleted = 99 LEFT JOIN ods.ods_durian_transport_order AS dto1 ON dto1.plan_id = ddp.sale_planid AND dto1.sort_no = 1 AND dto1.deleted = 99 left join (select odlsi.plan_id,sum(odlsi.quantity) zz from ods.ods_durian_loading_sku_item odlsi group by 1) odlsi on odlsi.plan_id=dlt.plan_id left join (select *, unnest(case when ( odbr.bill_main_id is null or odbr.bill_main_id is null) then ARRAY[-1]::integer[] else odbr.bill_main_id end) bill_main_id_r from ods.ods_durian_bill_rel odbr) odbr on odbr.data_id= dlt.plan_id and odbr.data_type='ORIGIN_FEE' left join ods.ods_hl_bill_main_currency ohbmc on ohbmc.bill_main_id=odbr.bill_main_id_r and ohbmc.deleted=99 group by 1;

这个SQL查询语句比较复杂，可以考虑以下几种优化方式： 1. 使用JOIN语句代替子查询：可以把子查询转换成JOIN语句，这样可以提高查询的效率。 2. 合理使用索引：根据实际情况，选择合适的索引可以大大提升查询效率...

SELECT sgs.id, sgs.supply_goods_id, sgs.standard_send_price FROM g_supply_goods_sell sgs INNER JOIN g_supply_goods_area sga ON sga.supply_sell_id = sgs.id WHERE sgs.sell_state = 'ENABLED' AND sga.tenant_id = 10 AND sga.area_no IN ( '510000', '510100', '510106', '510106002000' ) ORDER BY sgs.sell_type 对supply_goods_id去重

WHERE sgs.sell_state = 'ENABLED' AND sga.tenant_id = 10 AND sga.area_no IN ( '510000', '510100', '510106', '510106002000' ) ORDER BY sgs.sell_type ) AS t; 这个 SQL 语句将原始查询作为子查询，...

select FLOW_COMMON.c_task_id as taskId, FLOW_COMMON.c_owner as owner from template_flow_common FLOW_COMMON force index (template_flow_common_c_create_time_IDX) right join template_hollycrm1680160914000 hollycrm1680160914000 on FLOW_COMMON.c_business_id = hollycrm1680160914000.c_business_id where FLOW_COMMON.tenant_id = 'T000' and FLOW_COMMON.valid = 1 and lower(FLOW_COMMON.c_state) != 'draft' and lower(FLOW_COMMON.c_state) != 'end' and (((FLOW_COMMON.c_flow_id in ('FLOW20230330152148238756') and FLOW_COMMON.c_processing_group in ('1650685461842100265', '1654482883680665633') or FLOW_COMMON.c_cur_assignee = '1642716546558066731' ) and FLOW_COMMON.c_task_id in ( select id_ taskId from ACT_RU_TASK where ASSIGNEE_ = '1642716546558066731' and ASSIGNEE_ is not null union select c_task_id as taskId from template_flow_common) or FLOW_COMMON.c_processing_group in ('1650685461842100265', '1654482883680665633') )) and FLOW_COMMON.c_workorder_type = 'C0018' and FLOW_COMMON.c_business_type = 'C00180008,C001800080001,C0018000800010001' order by FLOW_COMMON.c_create_time desc, FLOW_COMMON.c_urgency desc limit 572550,10

- FLOW_COMMON.tenant_id = 'T000' and FLOW_COMMON.valid = 1：租户ID为'T000'且有效。 - lower(FLOW_COMMON.c_state) != 'draft' and lower(FLOW_COMMON.c_state) != 'end'：状态不是'draft'和'end'。 - FLOW_...

UPDATE goods_copy1 SET supplier_id = temp.supplier_id FROM goods_copy1 g1 INNER JOIN ( SELECT gpd.file_id, gpd.goods_id, im.supplier_id, g.supplier_id supplier_id2 FROM import_file im LEFT JOIN goods_ppt_details gpd ON gpd.file_id = im.file_id LEFT JOIN goods_copy1 g ON gpd.goods_id = g.goods_id WHERE gpd.tenant_id = 174 AND g.is_delete = '2' AND im.supplier_id != 0 AND g.supplier_id = 0 GROUP BY gpd.goods_id ) temp ON temp.goods_id = g1.goods_id这个执行不成功是什么问题

WHERE gpd.tenant_id = 174 AND g.is_delete = '2' AND im.supplier_id != 0 AND g.supplier_id = 0 GROUP BY gpd.goods_id ) temp WHERE temp.goods_id = g1.goods_id; 这里使用了别名 g1 指定要更新的...

解析一下下面这段代码： <select id="queryMaxVersion" parameterType="java.lang.String" resultMap="BaseResultMap"> select <include refid="Base_Column_List"/> from app_application_info info where app_name = #{appName,jdbcType=VARCHAR} and appId in (select app_id from app_tenant_component where app_source = 'Local' and tenant_id = #{tenantId}) order by app_version desc limit 1 </select>

这个标签的id属性是"queryMaxVersion"，parameterType属性是java.lang.String，resultMap属性是"BaseResultMap"。在这个标签中，将会执行一个SELECT查询，查询的结果集中包含<include refid="Base_Column_List"/>...

请优化这个SQL语句：SELECT ps.ps_id, ods.psId, ps.ammeter_id, ods.ammeterId, ods.sumEl FROM com_ps_ammeter ps LEFT JOIN ( SELECT ammeterId, psId, SUM( VALUE ) AS sumEl FROM ods_monitor_datas WHERE acceptTime LIKE CONCAT( '%', 2023, '%' ) AND ods_monitor_datas.tenant_id = 1667005694987583489 GROUP BY ammeterId ) ods ON ps.ammeter_id = ods.ammeterId WHERE ps.ps_id = '000814df85f344719252b159940b99d8' AND ps.tenant_id = 1667005694987583489 LIMIT 10

根据具体数据库的要求和数据分布情况，可以为ps_id、tenant_id、ammeter_id和acceptTime添加索引。下面是优化后的SQL语句： sql SELECT ps.ps_id, ods.psId, ps.ammeter_id, ods.ammeterId, ods.sumEl FROM ...

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