我如何加入两个不同的表,例如
all_order_ask:([]ask:();ask_qty:();exchange_name_ask:())
all_order_bid:([]bid:();bid_qty:();exchange_name_bid:())
并得到 =====>
final_order:ask:();ask_qty:();exchange_name_ask:();bid:();bid_qty:();exchange_name_bid:()
两个表的行数相同
您可以使用 uj: https: //code.kx.com/q/ref/uj/
all_order_ask uj all_order_bid
ask ask_qty exchange_name_ask bid bid_qty exchange_name_bid
-----------------------------------------------------------
q)
如果您的表格看起来类似如下:
all_order_ask
ask      ask_qty exchange_name_ask
----------------------------------
7.051033 8       bjd              
1.497004 3       lln              
2.400771 0       edg              
1.039355 7       lij              
2.353326 6       hon              
6.423479 4       ncp              
5.778177 6       gee              
2.193148 5       ijf              
1.66486  4       bbf              
4.784272 2       lmi              
all_order_bid
bid      bid_qty exchange_name_bid
----------------------------------
15.70605 2       pjbke            
10.93533 17      epjak            
7.040985 11      ekaaj            
14.19316 19      mpnan            
9.248942 17      nogel            
1.615466 18      holpj            
1.073589 16      kkfpn            
19.85822 13      pegin            
14.45499 8       jcgnm            
16.47223 0       dlhep 
       
您可以尝试以下操作:all_order_ask^all_order_bid
ask      ask_qty exchange_name_ask bid      bid_qty exchange_name_bid
---------------------------------------------------------------------
7.051033 8       bjd               15.70605 2       pjbke            
1.497004 3       lln               10.93533 17      epjak            
2.400771 0       edg               7.040985 11      ekaaj            
1.039355 7       lij               14.19316 19      mpnan            
2.353326 6       hon               9.248942 17      nogel            
6.423479 4       ncp               1.615466 18      holpj            
5.778177 6       gee               1.073589 16      kkfpn            
2.193148 5       ijf               19.85822 13      pegin            
1.66486  4       bbf               14.45499 8       jcgnm            
4.784272 2       lmi               16.47223 0       dlhep