Nested Crossjoin Quadrupled my Data

[ovetteabejuela]

I have this DAX Code: and it quadrupled my value, is there something wrong with double crossjoins?

Get Total Hours = 
SELECTCOLUMNS(
	FILTER(
		CROSSJOIN(table_c,
			FILTER(
				CROSSJOIN(table_a,table_b),
				table_a[employee_id] = table_b[employee_id] &&
				table_a[start_date] >= table_b[date_effective_start] &&
				table_a[start_date] <= table_b[date_effective_end] &&
				table_a[start_date] >= table_b[date_production]
					)
				),
		table_a[str_buid_state_code] = table_c[str_buid_state_code] && 
		table_a[start_date] >= table_c[date_effective_start] && 
		table_a[start_date] <= table_c[date_effective_end]
              ),
	"Field Name 1", table_a[start_date],
	"Field Name 2", table_a[employee_id],
	"Field Name 3", table_b[supvsr_id],
	"Field Name 4", table_c[sys_description],
	"Field Name 5", table_a[duration], //this value Quadrupled
	"Field Name 6", table_c[flag_a],
	"Field Name 7", table_b[id_dept],
	"Field Name 8", table_b[id_role],
	"Field Name 1", table_b[flag_active_employee]
			)

[Phil_Seamark · Accepted solution]

There is nothing wrong with nested CROSS JOINs and they will work as intended.

I do recommend a slightly different technique for debugging.  

I haven't changed any of your code, just broken out the tables so it's easier to see what is going on.

The final RETURN statement can be updated to be RETURN T1  or RETURN T2 etc so you can see how the data looks as you walk through the debugging.

So try this

Get Total Hours = 

Var T1 = FILTER(
				CROSSJOIN(table_a,table_b),
				table_a[employee_id] = table_b[employee_id] &&
				table_a[start_date] >= table_b[date_effective_start] &&
				table_a[start_date] <= table_b[date_effective_end] &&
				table_a[start_date] >= table_b[date_production]
					)
				)

Var T2 = 	FILTER(
		CROSSJOIN(table_c,T1
			,
		table_a[str_buid_state_code] = table_c[str_buid_state_code] && 
		table_a[start_date] >= table_c[date_effective_start] && 
		table_a[start_date] <= table_c[date_effective_end]
              )

Var T3 = 
SELECTCOLUMNS(T2
,
	"Field Name 1", table_a[start_date],
	"Field Name 2", table_a[employee_id],
	"Field Name 3", table_b[supvsr_id],
	"Field Name 4", table_c[sys_description],
	"Field Name 5", table_a[duration], //this value Quadrupled
	"Field Name 6", table_c[flag_a],
	"Field Name 7", table_b[id_dept],
	"Field Name 8", table_b[id_role],
	"Field Name 1", table_b[flag_active_employee]
			)


Return T3

[Phil_Seamark · Accepted solution]

There is nothing wrong with nested CROSS JOINs and they will work as intended.

I do recommend a slightly different technique for debugging.  

I haven't changed any of your code, just broken out the tables so it's easier to see what is going on.

The final RETURN statement can be updated to be RETURN T1  or RETURN T2 etc so you can see how the data looks as you walk through the debugging.

So try this

Get Total Hours = 

Var T1 = FILTER(
				CROSSJOIN(table_a,table_b),
				table_a[employee_id] = table_b[employee_id] &&
				table_a[start_date] >= table_b[date_effective_start] &&
				table_a[start_date] <= table_b[date_effective_end] &&
				table_a[start_date] >= table_b[date_production]
					)
				)

Var T2 = 	FILTER(
		CROSSJOIN(table_c,T1
			,
		table_a[str_buid_state_code] = table_c[str_buid_state_code] && 
		table_a[start_date] >= table_c[date_effective_start] && 
		table_a[start_date] <= table_c[date_effective_end]
              )

Var T3 = 
SELECTCOLUMNS(T2
,
	"Field Name 1", table_a[start_date],
	"Field Name 2", table_a[employee_id],
	"Field Name 3", table_b[supvsr_id],
	"Field Name 4", table_c[sys_description],
	"Field Name 5", table_a[duration], //this value Quadrupled
	"Field Name 6", table_c[flag_a],
	"Field Name 7", table_b[id_dept],
	"Field Name 8", table_b[id_role],
	"Field Name 1", table_b[flag_active_employee]
			)


Return T3

[Phil_Seamark · Accepted solution]

But I would probably create a SUMARIZE table of T2 which removes the duplicating durations.

[ovetteabejuela]

,

Im mobile right now, Im excited to test out your recommendations. I'll give feedback after performing those. BiG thanks, learned so much from you already from previous posts including this!