Registration of decrypted on 42WL863G channels time shift

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  Hello
  
  I am trying to join the two channels that are time-stamped application, both are total-ordered. Each of these 2 channels retrieve data in a table source.
  
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  Published by: Jarell March 17, 2011 03:19
  
  Published by: Jarell March 17, 2011 03:19

  Hi Jarrell,

  I went through your project that had sent you to Andy.

  In my opinion, the following query should meet your needs-

  ISTREAM (select t.aparty, TrafficaSender [range 15 seconds] t.bparty t, CatSender [range 15 seconds] c where t.aparty = c.party AND t.bparty = c.bparty)

  I used the test of CatSender and TrafficaSender data (I show only the part bparty fields and here and that too as the last 4 characters of each)

  TrafficaSender (, bparty)
  At t = 3 seconds, (9201, 9900)
  At t = 14 seconds (9200, 9909)
  To t = 28 seconds (9202, 9901)

  CatSender (, bparty)
  At t = 16 seconds, (9200, 9909)
  At t = 29 seconds (9202, 9901)

  For query q1 ISTREAM = (select t.aparty, TrafficaSender [range 15 seconds] t.bparty t, CatSender [range 15 seconds] c where t.aparty = c.party AND t.bparty = c.bparty)

  the results were-
  At t = 16 seconds, (9200, 9909)
  At t = 29 seconds (9202, 9901)

  and it seems OK for me

  Please note the following-

  (1) in the query above I do NOT require a "abs1(t.ELEMENT_TIME-c.ELEMENT_TIME)".<= 15000"="" in="" the="" where="" clause.="" this="" is="" because="" of="" the="" way="" the="" cql="" model="" correlates="" 2="" (or="" more)="" relations="" (in="" a="" join).="" time="" is="" implicit="" in="" this="" correlation="" --="" here="" is="" a="" more="" detailed="">

  In the above query, either W1 that designating the window TrafficaSender [range 15] and W2 means the CatSender [range 15] window.

  Now both W1 and W2 are evaluated to CQL Relations since in the CQL model WINDOW operation over a Creek gives a relationship.

  Let us look at the States of these two relationships over time

  W1 (0) = W2 (0) = {} / * empty * /.
  ... the same empty up to t = 2
  W1 (3) = {(9201, 9900)}, W2 (3) = {}
  same content for W1 and W2 until t = 13
  W1 (14) = {9201 (9900) (9200, 9909)}, W2 (14) = {}
  same content at t = 15
  W1 (16) = {9201 (9900) (9200, 9909)}, W2 (16) = {(9200, 9909)}
  same content at t = 17
  W1 (18) = {(9200, 9909)}, W2 (18) = {(9200, 9909)}
  same content at up to t = 27
  W1 (28) = {(9200, 9909), (9202, 9901)}, W2 (28) = {(9200, 9909)}
  W1 (29) = {(9202, 9901)}, W2 (29) = {(9200, 9909), (9202, 9901)}

  Now, the result.
  Let R = select t.aparty, TrafficaSender [range 15 seconds] t.bparty t, CatSender [range 15 seconds] c where t.aparty = c.party AND t.bparty = c.bparty

  It is the part of the application without the ISTREAM. R corresponds to a relationship since JOINING the 2 relationships (W1 and W2 in this case) that takes a relationship according to the CQL model.

  Now, here's the most important point about the correlation in the JOINTS and the implicit time role. R (t) is obtained by joining the (t) W1 and W2 (t). So using this, we must work the content of R over time

  R (0) = JOIN of W1 (0), W2 (0) = {}
  the same content up to t = 15, since the W2 is empty until W2 (15)
  R (16) = JOIN of W1 (16), W2 (16) = {(9200, 9909)}
  same content up to t = 28, even if at t = 18 and t = 28 W1 changes, these changes do not influence the result of the JOIN
  R (29) = JOIN of W1 (29), W2 (29) = {(9202, 9901)}

  Now the actual query is ISTREAM (R). As Alex has explained in the previous post, ISTREAM leads a stream where each Member in the difference r (t) - R (t-1) is associated with the t. timestamp applying this to R above, we get

  R (t) - R (t-1) is empty until t = 15
  (16) R - R (16 seconds - 1 nanosecond) = (9200, 9909) associated with timestamp = 16 seconds
  R (t) - R (t-1) is again empty until t = 29
  (29) R - R (29 seconds - 1 nanosecond) = (9202, 9901) associated with timestamp = 29 seconds

  This explains the output

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