获取不同的值一列

我有以下查询，获取不同的值一列

SELECT v.pattern_id, 
     v.id, 
     v.pdb_id           AS viocardId, 
     p.pdb_id           AS PID, 
     s.vio_id           AS SiVioId, 
     r.date            AS orcdate, 
     s.created_date          AS sivcreateddate, 
     r.job_id, 
     r.maskset, 
     r.device, 
     d.tech_geometry, 
     r.layer, 
     r.layer_rev, 
     r.ptrf, 
     r.operation, 
     Concat_ws('_', d.tech_geometry, r.layer, p.pdb_id) AS techlayer 
FROM orc_orcviolation v, 
     orc_orcpattern p, 
     siverify_siverifyverificationsite s, 
     orc_orccheck o, 
     orc_orcrecord r, 
     siverify_siverifyverificationdevice d 
WHERE v.pattern_id = p.id 
     AND p.pdb_id = s.pattern_id 
     AND p.if_target = s.if_target 
     AND p.if_secure <> 1 
     AND s.create_status <> 5 
     AND v.check_id = o.id 
     AND o.record_id = r.id 
     AND d.id = s.si_device_id 
     AND r.maskset <> 'MT23RUN1' 
     AND r.maskset <> 'M25RUN3' 
     AND r.ptrf NOT LIKE '%PTRF-20251-%' 
     AND d.fab LIKE '%FAB 1%' 
     AND v.id > (SELECT v1.id 
        FROM orc_orcviolation v1, 
          orc_orcpattern p1, 
          siverify_siverifyverificationsite s1, 
          orc_orccheck o1, 
          orc_orcrecord r1, 
          siverify_siverifyverificationdevice d1 
        WHERE v1.pattern_id = p1.id 
          AND p1.pdb_id = s1.pattern_id 
          AND p1.if_target = s1.if_target 
          AND p1.if_secure <> 1 
          AND s1.create_status <> 5 
          AND v1.check_id = o1.id 
          AND o1.record_id = r1.id 
          AND d1.id = s1.si_device_id 
          AND r1.maskset <> 'MT23RUN1' 
          AND r1.maskset <> 'M25RUN3' 
          AND r1.ptrf NOT LIKE '%PTRF-20251-%' 
          AND d1.fab LIKE '%FAB 1%' 
          AND v1.id = s1.vio_id 
          AND s1.vio_id = s.vio_id) 
     AND r.date > s.created_date;

我需要的是，我需要得到不同的值只为列r.job_id。我对上面的查询输出的样子，

 pattern_id id viocardId PID SiVioId orcdate sivcreateddate   job_id maskset device tech_geometry layer layer_rev ptrf operation techlayer 
    702627 2038025 8270564 4298455 1939970 4/16/2016 12:22 12/23/2015 1:14 442896 MPW2202 MPW2202_TEG1 0.022UM RX AZ PTRF-45862-2896 orc 0.022UM_RX_4298455 
    702627 2038027 8270566 4298455 1939970 4/16/2016 12:22 12/23/2015 1:14 442896 MPW2202 MPW2202_TEG1 0.022UM RX AZ PTRF-45862-2896 orc 0.022UM_RX_4298455 
    702627 2038029 8270568 4298455 1939970 4/16/2016 12:22 12/23/2015 1:14 442896 MPW2202 MPW2202_TEG1 0.022UM RX AZ PTRF-45862-2896 orc 0.022UM_RX_4298455 
    702627 2112780 8425263 4298455 1939970 6/12/2016 4:08 12/23/2015 1:14 471956 ECLIPS4 ECLIPS4_SLM11 0.022UM RX AZ PTRF-45862-3249 orc 0.022UM_RX_4298455 
    702627 2112783 8425266 4298455 1939970 6/12/2016 4:08 12/23/2015 1:14 471956 ECLIPS4 ECLIPS4_SLM11 0.022UM RX AZ PTRF-45862-3249 orc 0.022UM_RX_4298455 
    702627 2112784 8425267 4298455 1939970 6/12/2016 4:08 12/23/2015 1:14 471956 ECLIPS4 ECLIPS4_SLM11 0.022UM RX AZ PTRF-45862-3249 orc 0.022UM_RX_4298455 
    702627 2240805 8558618 4298455 1939970 8/27/2016 8:35 12/23/2015 1:14 504071 ECLIPS4 ECLIPS4_SLM11 0.022UM RX AY PTRF-45862-3610 orc 0.022UM_RX_4298455 
    702627 2240807 8558620 4298455 1939970 8/27/2016 8:35 12/23/2015 1:14 504071 ECLIPS4 ECLIPS4_SLM11 0.022UM RX AY PTRF-45862-3610 orc 0.022UM_RX_4298455

在上面的运算，对于PID（4298455），我们可以看到三个job_ids（442896,471956,504071）。我想删除job_ids的重复和理想我OP应该是什么样子，

pattern_id id viocardId PID SiVioId orcdate  sivcreateddate job_id maskset device tech_geometry layer layer_rev ptrf operation techlayer 
702627 2038025 8270564 4298455 1939970 4/16/2016 12:22 12/23/2015 1:14 442896 MPW2202 MPW2202_TEG1 0.022UM RX AZ PTRF-45862-2896 orc 0.022UM_RX_4298455 
702627 2112780 8425263 4298455 1939970 6/12/2016 4:08 12/23/2015 1:14 471956 ECLIPS4 ECLIPS4_SLM11 0.022UM RX AZ PTRF-45862-3249 orc 0.022UM_RX_4298455 
702627 2240805 8558618 4298455 1939970 8/27/2016 8:35 12/23/2015 1:14 504071 ECLIPS4 ECLIPS4_SLM11 0.022UM RX AY PTRF-45862-3610 orc 0.022UM_RX_4298455

我不认为创建一个子查询只是r.job_id的不同值会因为它可能会扰乱一个明智的选择查询的其他部分。任何方式来做到这一点？提前致谢。

来源

2017-02-22 SURYA VISWANATHAN

是从原始数据不同值从一行到另一个唯一的两列是'id'和'viocardId'和您想要的结果，你所得到的两者的值较小，因为所有数据都是相同的，但是这两个可以选择所有字段，并且这两个数据与最小值聚合。例如：'select pattern_id，min（id），min（viocardId），PID，SiVioId ...（所有其他columsn）...（其余所有选择）.... group by（所有字段但这两个）'试试看看它是否有效 –

你可以尝试更新您的查询

SELECT v.pattern_id, 
     MIN(v.id), 
     MIN(v.pdb_id)          AS viocardId, 
     p.pdb_id           AS PID, 
     s.vio_id           AS SiVioId, 
     r.date            AS orcdate, 
     s.created_date          AS sivcreateddate, 
     r.job_id, 
     r.maskset, 
     r.device, 
     d.tech_geometry, 
     r.layer, 
     r.layer_rev, 
     r.ptrf, 
     r.operation, 
     Concat_ws('_', d.tech_geometry, r.layer, p.pdb_id) AS techlayer 
FROM orc_orcviolation v, 
     orc_orcpattern p, 
     siverify_siverifyverificationsite s, 
     orc_orccheck o, 
     orc_orcrecord r, 
     siverify_siverifyverificationdevice d 
WHERE v.pattern_id = p.id 
     AND p.pdb_id = s.pattern_id 
     AND p.if_target = s.if_target 
     AND p.if_secure <> 1 
     AND s.create_status <> 5 
     AND v.check_id = o.id 
     AND o.record_id = r.id 
     AND d.id = s.si_device_id 
     AND r.maskset <> 'MT23RUN1' 
     AND r.maskset <> 'M25RUN3' 
     AND r.ptrf NOT LIKE '%PTRF-20251-%' 
     AND d.fab LIKE '%FAB 1%' 
     AND v.id > (SELECT v1.id 
        FROM orc_orcviolation v1, 
          orc_orcpattern p1, 
          siverify_siverifyverificationsite s1, 
          orc_orccheck o1, 
          orc_orcrecord r1, 
          siverify_siverifyverificationdevice d1 
        WHERE v1.pattern_id = p1.id 
          AND p1.pdb_id = s1.pattern_id 
          AND p1.if_target = s1.if_target 
          AND p1.if_secure <> 1 
          AND s1.create_status <> 5 
          AND v1.check_id = o1.id 
          AND o1.record_id = r1.id 
          AND d1.id = s1.si_device_id 
          AND r1.maskset <> 'MT23RUN1' 
          AND r1.maskset <> 'M25RUN3' 
          AND r1.ptrf NOT LIKE '%PTRF-20251-%' 
          AND d1.fab LIKE '%FAB 1%' 
          AND v1.id = s1.vio_id 
          AND s1.vio_id = s.vio_id) 
     AND r.date > s.created_date; 
GROUP BY 
     v.pattern_id, 
     PID, 
     SiVioId, 
     orcdate, 
     sivcreateddate, 
     r.job_id, 
     r.maskset, 
     r.device, 
     d.tech_geometry, 
     r.layer, 
     r.layer_rev, 
     r.ptrf, 
     r.operation, 
     techlayer

来源

2017-02-22 09:24:23

获取不同的值一列

回答

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