ent-go o2m upsert duplication - postgresql

I am trying to upsert table A, with relations to table B - also, upserting via ent-go's framework with Postgres.
CmdbCiServerVmwareVirtualMachine:
+----------------+--------------------------------+--------+----------+----------+---------+---------------+-----------+---------------------------------+------------+---------+
| Field | Type | Unique | Optional | Nillable | Default | UpdateDefault | Immutable | StructTag | Validators | Comment |
+----------------+--------------------------------+--------+----------+----------+---------+---------------+-----------+---------------------------------+------------+---------+
| id | uuid.UUID | false | false | false | true | false | false | json:"id,omitempty" | 0 | |
| created_at | time.Time | false | false | false | true | false | true | json:"created_at,omitempty" | 0 | |
| updated_at | time.Time | false | false | false | true | true | false | json:"updated_at,omitempty" | 0 | |
| deleted_at | time.Time | false | true | false | false | true | false | json:"deleted_at,omitempty" | 0 | |
| sysId | uuid.UUID | true | false | false | false | false | false | json:"sysId,omitempty" | 0 | |
| name | string | false | true | false | false | false | false | json:"name,omitempty" | 0 | |
| vCpu | int | false | true | false | false | false | false | json:"vCpu,omitempty" | 0 | |
| coresPerSocket | int | false | true | false | false | false | false | json:"coresPerSocket,omitempty" | 0 | |
| memory | int | false | true | false | false | false | false | json:"memory,omitempty" | 0 | |
| hwVersion | string | false | true | false | false | false | false | json:"hwVersion,omitempty" | 0 | |
| guestOS | string | false | true | false | false | false | false | json:"guestOS,omitempty" | 0 | |
| guestOSFamily | string | false | true | false | false | false | false | json:"guestOSFamily,omitempty" | 0 | |
| guestOSFqdn | string | false | true | false | false | false | false | json:"guestOSFqdn,omitempty" | 0 | |
| powerState | string | false | true | false | false | false | false | json:"powerState,omitempty" | 0 | |
| customFields | []struct { Key int | false | false | false | false | false | false | json:"customFields,omitempty" | 0 | |
| | "json:\"Key\""; Value string | | | | | | | | | |
| | "json:\"Value\"" } | | | | | | | | | |
| data | vmware.VCenterVirtualMachine | false | true | false | false | false | false | json:"data,omitempty" | 0 | |
+----------------+--------------------------------+--------+----------+----------+---------+---------------+-----------+---------------------------------+------------+---------+
+--------+---------------------------------------------+---------+---------+----------+--------+----------+---------+
| Edge | Type | Inverse | BackRef | Relation | Unique | Optional | Comment |
+--------+---------------------------------------------+---------+---------+----------+--------+----------+---------+
| fields | CmdbCiServerVmwareVirtualMachineCustomField | false | | O2M | false | true | |
+--------+---------------------------------------------+---------+---------+----------+--------+----------+---------+
CmdbCiServerVmwareVirtualMachineCustomField:
+------------+-----------+--------+----------+----------+---------+---------------+-----------+-----------------------------+------------+---------+
| Field | Type | Unique | Optional | Nillable | Default | UpdateDefault | Immutable | StructTag | Validators | Comment |
+------------+-----------+--------+----------+----------+---------+---------------+-----------+-----------------------------+------------+---------+
| id | uuid.UUID | false | false | false | true | false | false | json:"id,omitempty" | 0 | |
| created_at | time.Time | false | false | false | true | false | true | json:"created_at,omitempty" | 0 | |
| updated_at | time.Time | false | false | false | true | true | false | json:"updated_at,omitempty" | 0 | |
| deleted_at | time.Time | false | true | false | false | true | false | json:"deleted_at,omitempty" | 0 | |
| sysId | uuid.UUID | false | false | false | false | false | false | json:"sysId,omitempty" | 0 | |
| key | int | false | false | false | false | false | false | json:"key,omitempty" | 0 | |
| value | string | false | true | false | false | false | false | json:"value,omitempty" | 0 | |
+------------+-----------+--------+----------+----------+---------+---------------+-----------+-----------------------------+------------+---------+
+----------------+----------------------------------+---------+---------+----------+--------+----------+---------+
| Edge | Type | Inverse | BackRef | Relation | Unique | Optional | Comment |
+----------------+----------------------------------+---------+---------+----------+--------+----------+---------+
| virtualMachine | CmdbCiServerVmwareVirtualMachine | true | fields | M2O | true | true | |
+----------------+----------------------------------+---------+---------+----------+--------+----------+---------+
As you can see, i have my Edge, and my index is unique for sys_id and key on the fields table.
// Indexes of the CmdbCiServerVmwareVirtualMachineCustomField.
func (CmdbCiServerVmwareVirtualMachineCustomField) Indexes() []ent.Index {
return []ent.Index{
index.Fields("key", "sysId").
Edges("virtualMachine").Unique(),
}
}
The following code seems to create the rows/relationships OK, however it will not upsert on the second run - only duplicate and give a NULL entry in the relationship column.
I am using the following code:
http://pastie.org/p/6vx6yugIWwlChKmSSJNPIs


func (CmdbCiServerVmwareVirtualMachineCustomField) Indexes() []ent.Index {
return []ent.Index{
index.Fields("key", "sysId").Unique(),
}
}
The above index, combined with :
...
.OnConflictColumns(
cmdbciservervmwarevirtualmachinecustomfield.FieldSysId,
cmdbciservervmwarevirtualmachinecustomfield.FieldKey).
UpdateNewValues().
ID(context.Background())
was enough for this to work correctly.

Related

Can I specify the output in Test2 test

Is there a way to edit the following Test2 test:
perl -MTest2::V0 -MRegexp::Common=URI -wE 'is( shift, match $RE{URI}, "should match a URI" )' foo
Such that the CHECK output is less verbose than this:
# Seeded srand with seed '20200813' from local date.
1..1
not ok 1 - should match a URI
# Failed test 'should match a URI'
# at -e line 1.
# +-----+----+-------------------------------------------------------+-----+
# | GOT | OP | CHECK | LNs |
# +-----+----+-------------------------------------------------------+-----+
# | foo | =~ | (?:(?:(?:file)://(?:(?:(?:(?:(?:(?:(?:(?:[a-zA-Z0-9][ | 1 |
# | | | -a-zA-Z0-9]*)?[a-zA-Z0-9])[.])*(?:[a-zA-Z][-a-zA-Z0-9 | |
# | | | ]*[a-zA-Z0-9]|[a-zA-Z]))|(?:[0-9]+[.][0-9]+[.][0-9]+[ | |
# | | | .][0-9]+))|localhost)?)(?:/(?:(?:(?:(?:[-a-zA-Z0-9$_. | |
# | | | +!*'(),:#&=]|(?:%[a-fA-F0-9][a-fA-F0-9]))*)(?:/(?:(?: | |
# | | | [-a-zA-Z0-9$_.+!*'(),:#&=]|(?:%[a-fA-F0-9][a-fA-F0-9] | |
# | | | ))*))*)))))|(?:(?:telnet)://(?:(?:(?:(?:(?:[-a-zA-Z0- | |
# | | | 9$_.+!*'(),;?&=]|(?:%[a-fA-F0-9][a-fA-F0-9]))*))(?::( | |
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# | | | fA-F0-9]))*)))?)#)?(?:(?:(?:(?:(?:(?:(?:[a-zA-Z0-9][- | |
# | | | a-zA-Z0-9]*)?[a-zA-Z0-9])[.])*(?:[a-zA-Z][-a-zA-Z0-9] | |
# | | | *[a-zA-Z0-9]|[a-zA-Z]))|(?:[0-9]+[.][0-9]+[.][0-9]+[. | |
# | | | ][0-9]+)))(?::(?:(?:[0-9]+)))?)(?:/)?)|(?:(?:https?): | |
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# | | | ])[.]?)|(?:[0-9]+[.][0-9]+[.][0-9]+[.][0-9]+)))(?::(? | |
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# | | | [a-zA-Z0-9])[.])*(?:[a-zA-Z][-a-zA-Z0-9]*[a-zA-Z0-9]| | |
# | | | [a-zA-Z])[.]?))?)|(?:(?:news):(?:(?:[*]|(?:(?:[-a-zA- | |
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# | | | .])*(?:[a-zA-Z][-a-zA-Z0-9]*[a-zA-Z0-9]|[a-zA-Z]))|(? | |
# | | | :[0-9]+[.][0-9]+[.][0-9]+[.][0-9]+)))|(?:[a-zA-Z][-A- | |
# | | | Za-z0-9.+_]*))))|(?:(?:fax):(?:(?:(?:[+](?:[0-9\-.()] | |
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# | | | td=[0-9\-.()*#ABCDwp]+)?(?:(?:;(?:phone-context)=(?:( | |
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# | | | f]|4[05-9A-Fa-f]|5[1-689A-Fa-f]|6[05-9A-Fa-f]|7[1-689 | |
# | | | A-Ea-e])))(?:[!'()*\-.0-9A-Z_a-z~]+|(?:%(?:2[1-9A-Fa- | |
# | | | f]|3[AC-Fac-f]|[4-6][0-9A-Fa-f]|7[0-9A-Ea-e])))*)))|( | |
# | | | ?:;(?:tsp)=(?: |(?:(?:(?:[A-Za-z](?:(?:(?:[-A-Za-z0-9 | |
# | | | ]+)){0,61}[A-Za-z0-9])?)(?:[.](?:[A-Za-z](?:(?:(?:[-A | |
# | | | -Za-z0-9]+)){0,61}[A-Za-z0-9])?))*))))|(?:;(?:(?:[!'* | |
# | | | \-.0-9A-Z_a-z~]+|%(?:2[13-7ABDEabde]|3[0-9]|4[1-9A-Fa | |
# | | | -f]|5[AEFaef]|6[0-9A-Fa-f]|7[0-9ACEace]))*)(?:=(?:(?: | |
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# | | | (?:[?](?:(?:[!'*\-.0-9A-Z_a-z~]+|%(?:2[13-7ABDEabde]| | |
# | | | 3[0-9]|4[1-9A-Fa-f]|5[AEFaef]|6[0-9A-Fa-f]|7[0-9ACEac | |
# | | | e]))*))?)|(?:%22(?:(?:%5C(?:[a-zA-Z0-9\-_.!~*'()]|(?: | |
# | | | %[a-fA-F0-9][a-fA-F0-9])))|[a-zA-Z0-9\-_.!~*'()]+|(?: | |
# | | | %(?:[01][a-fA-F0-9])|2[013-9A-Fa-f]|[3-9A-Fa-f][a-fA- | |
# | | | F0-9]))*%22)))?))*)|(?:[0-9\-.()*#ABCDwp]+(?:;isub=[0 | |
# | | | -9\-.()]+)?(?:;tsub=[0-9\-.()]+)?(?:;postd=[0-9\-.()* | |
# | | | #ABCDwp]+)?(?:;(?:phone-context)=(?:(?:(?:[+][0-9\-.( | |
# | | | )]+)|(?:[0-9\-.()*#ABCDwp]+))|(?:(?:[!'E-OQ-VX-Z_e-oq | |
# | | | -vx-z~]|(?:%(?:2[124-7CFcf]|3[AC-Fac-f]|4[05-9A-Fa-f] | |
# | | | |5[1-689A-Fa-f]|6[05-9A-Fa-f]|7[1-689A-Ea-e])))(?:[!' | |
# | | | ()*\-.0-9A-Z_a-z~]+|(?:%(?:2[1-9A-Fa-f]|3[AC-Fac-f]|[ | |
# | | | 4-6][0-9A-Fa-f]|7[0-9A-Ea-e])))*)))(?:(?:;(?:phone-co | |
# | | | ntext)=(?:(?:(?:[+][0-9\-.()]+)|(?:[0-9\-.()*#ABCDwp] | |
# | | | +))|(?:(?:[!'E-OQ-VX-Z_e-oq-vx-z~]|(?:%(?:2[124-7CFcf | |
# | | | ]|3[AC-Fac-f]|4[05-9A-Fa-f]|5[1-689A-Fa-f]|6[05-9A-Fa | |
# | | | -f]|7[1-689A-Ea-e])))(?:[!'()*\-.0-9A-Z_a-z~]+|(?:%(? | |
# | | | :2[1-9A-Fa-f]|3[AC-Fac-f]|[4-6][0-9A-Fa-f]|7[0-9A-Ea- | |
# | | | e])))*)))|(?:;(?:tsp)=(?: |(?:(?:(?:[A-Za-z](?:(?:(?: | |
# | | | [-A-Za-z0-9]+)){0,61}[A-Za-z0-9])?)(?:[.](?:[A-Za-z]( | |
# | | | ?:(?:(?:[-A-Za-z0-9]+)){0,61}[A-Za-z0-9])?))*))))|(?: | |
# | | | ;(?:(?:[!'*\-.0-9A-Z_a-z~]+|%(?:2[13-7ABDEabde]|3[0-9 | |
# | | | ]|4[1-9A-Fa-f]|5[AEFaef]|6[0-9A-Fa-f]|7[0-9ACEace]))* | |
# | | | )(?:=(?:(?:(?:(?:[!'*\-.0-9A-Z_a-z~]+|%(?:2[13-7ABDEa | |
# | | | bde]|3[0-9]|4[1-9A-Fa-f]|5[AEFaef]|6[0-9A-Fa-f]|7[0-9 | |
# | | | ACEace]))*)(?:[?](?:(?:[!'*\-.0-9A-Z_a-z~]+|%(?:2[13- | |
# | | | 7ABDEabde]|3[0-9]|4[1-9A-Fa-f]|5[AEFaef]|6[0-9A-Fa-f] | |
# | | | |7[0-9ACEace]))*))?)|(?:%22(?:(?:%5C(?:[a-zA-Z0-9\-_. | |
# | | | !~*'()]|(?:%[a-fA-F0-9][a-fA-F0-9])))|[a-zA-Z0-9\-_.! | |
# | | | ~*'()]+|(?:%(?:[01][a-fA-F0-9])|2[013-9A-Fa-f]|[3-9A- | |
# | | | Fa-f][a-fA-F0-9]))*%22)))?))*))))|(?:(?:nntp)://(?:(? | |
# | | | :(?:(?:(?:(?:(?:(?:[a-zA-Z0-9][-a-zA-Z0-9]*)?[a-zA-Z0 | |
# | | | -9])[.])*(?:[a-zA-Z][-a-zA-Z0-9]*[a-zA-Z0-9]|[a-zA-Z] | |
# | | | ))|(?:[0-9]+[.][0-9]+[.][0-9]+[.][0-9]+)))(?::(?:(?:[ | |
# | | | 0-9]+)))?)/(?:(?:[a-zA-Z][-A-Za-z0-9.+_]*))(?:/(?:[0- | |
# | | | 9]+))?))) | |
# +-----+----+-------------------------------------------------------+-----+
Can I do anything to make the output look something like:
# +-----+----+-------------------------------------------------------+-----+
# | GOT | OP | CHECK | LNs |
# +-----+----+-------------------------------------------------------+-----+
# | foo | =~ | $RE{URI} | 1 |
# +-----+----+-------------------------------------------------------+-----+

Seems like it is not possible to format the check message. Looking at the source:
Test2::Tools::Compare::is() calls
Test2::Compare::Delta::diag() which calls
Test2::Compare::Delta::table() to format the output.
You may try ask for a new feature at the GitHub issue tracker.

View Rows as columns in postgres SQL without using cross Tab as Cross Tab is provioing the excepted results

I am using Postgres 9.6. and i have a result set like this:
employee Name|collegeName | Date |attendance
-------------|------------|----------|-----------
employee1 |college1 |2020-05-01| true
employee1 |college2 |2020-05-01| false
employee2 |college3 |2020-05-01| true
employee3 |college4 |2020-05-02| true
employee4 |college5 |2020-05-02| false
employee5 |college1 |2020-05-03| true
employee6 |college3 |2020-05-03| false
My desired result is as follows:
employee Name|collegeName | 2020-05-01 | 2020-05-02 | 2020-05-03
-------------|------------|------------|------------|-----------
employee1 |college1 | true | |
employee1 | college2 | false | |
employee2 | college3 | true | |
employee3 | college4 | | true |
employee4 |college5 | | false |
employee5 | college1 | | | true
employee6 | college3 | | |false
tried using cross tab but couldn't get the desired Result. please help.

Is there any way to group by continious values

I have data from car gps tracker and I need to find parking and movement periods
Now every row have id of parking or movement in table
+------------+-------+----------+---------+------------+
| time | speed | ignition | trip_id | parking_id |
+------------+-------+----------+---------+------------+
| 05:48:50 | 0 | false | 0 | 300 |
| 05:49:20 | 0 | false | 0 | 300 |
| 05:49:20 | 10 | true | 300 | 0 |
| 05:50:01 | 20 | true | 300 | 0 |
| 05:51:20 | 17 | true | 300 | 0 |
| 05:51:20 | 0 | false | 0 | 301 |
| 05:52:40 | 0 | false | 0 | 301 |
| 05:52:40 | 12 | true | 301 | 0 |
| 05:52:50 | 22 | true | 301 | 0 |
| 05:53:00 | 30 | true | 301 | 0 |
| 05:53:30 | 40 | true | 301 | 0 |
| 05:53:30 | 0 | false | 0 | 302 |
| 05:55:00 | 0 | false | 0 | 302 |
+------------+-------+----------+---------+------------+
SELECT min(time) as time_start, max(time) as time_end, trip_id, parking_id
FROM 'tablename' GROUP BY trip_id, parking_id
result is
+------------+----------+---------+------------+
| time start | time end | trip id | parking id |
+------------+----------+---------+------------+
| 05:48:50 | 05:49:20 | 0 | 300|
| 05:49:20 | 05:51:20 | 300| 0 |
| 05:51:20 | 05:52:40 | 0 | 301|
| 05:52:40 | 05:53:30 | 301| 0 |
| 05:53:30 | 05:55:00 | 0 | 302|
+------------+----------+---------+------------+
How should I do group by so as not to use parking_id and trip_id. But generate parking ids and trip ids. And the final result must be:
+------------+----------+---------+------------+
| time start | time end | trip id | parking id |
+------------+----------+---------+------------+
| 05:48:50 | 05:49:20 | 0 | 1 |
| 05:49:20 | 05:51:20 | 1 | 0 |
| 05:51:20 | 05:52:40 | 0 | 2 |
| 05:52:40 | 05:53:30 | 2 | 0 |
| 05:53:30 | 05:55:00 | 0 | 3 |
+------------+----------+---------+------------+

Spark Dataframe Union giving duplicates

I have a base dataset, and one of the columns is having null and not null values.
so I do:
val nonTrained_ds = base_ds.filter(col("col_name").isNull)
val trained_ds = base_ds.filter(col("col_name").isNotNull)
When I print that out, I get clear separate of rows. But when I do,
val combined_ds = nonTrained_ds.union(trained_ds)
I get duplicate records of rows from nonTrained_ds, and the strange thing is, rows from trained_ds are no longer in the combined ds.
Why does this happen?
the values of trained_ds are:
+----------+----------------+
|unique_no | running_id|
+----------+----------------+
|0456700001|16 |
|0456700004|16 |
|0456700007|16 |
|0456700010|16 |
|0456700013|16 |
|0456700016|16 |
|0456700019|16 |
|0456700022|16 |
|0456700025|16 |
|0456700028|16 |
|0456700031|16 |
|0456700034|16 |
|0456700037|16 |
|0456700040|16 |
|0456700043|16 |
|0456700046|16 |
|0456700049|16 |
|0456700052|16 |
|0456700055|16 |
|0456700058|16 |
|0456700061|16 |
|0456700064|16 |
|0456700067|16 |
|0456700070|16 |
+----------+----------------+
the values of nonTrained_ds are:
+----------+----------------+
|unique_no | running_id|
+----------+----------------+
|0456700002|null |
|0456700003|null |
|0456700005|null |
|0456700006|null |
|0456700008|null |
|0456700009|null |
|0456700011|null |
|0456700012|null |
|0456700014|null |
|0456700015|null |
|0456700017|null |
|0456700018|null |
|0456700020|null |
|0456700021|null |
|0456700023|null |
|0456700024|null |
|0456700026|null |
|0456700027|null |
|0456700029|null |
|0456700030|null |
|0456700032|null |
|0456700033|null |
|0456700035|null |
|0456700036|null |
|0456700038|null |
|0456700039|null |
|0456700041|null |
|0456700042|null |
|0456700044|null |
|0456700045|null |
|0456700047|null |
|0456700048|null |
|0456700050|null |
|0456700051|null |
|0456700053|null |
|0456700054|null |
|0456700056|null |
|0456700057|null |
|0456700059|null |
|0456700060|null |
|0456700062|null |
|0456700063|null |
|0456700065|null |
|0456700066|null |
|0456700068|null |
|0456700069|null |
|0456700071|null |
|0456700072|null |
+----------+----------------+
the values of the combined ds are:
+----------+----------------+
|unique_no | running_id|
+----------+----------------+
|0456700002|null |
|0456700003|null |
|0456700005|null |
|0456700006|null |
|0456700008|null |
|0456700009|null |
|0456700011|null |
|0456700012|null |
|0456700014|null |
|0456700015|null |
|0456700017|null |
|0456700018|null |
|0456700020|null |
|0456700021|null |
|0456700023|null |
|0456700024|null |
|0456700026|null |
|0456700027|null |
|0456700029|null |
|0456700030|null |
|0456700032|null |
|0456700033|null |
|0456700035|null |
|0456700036|null |
|0456700038|null |
|0456700039|null |
|0456700041|null |
|0456700042|null |
|0456700044|null |
|0456700045|null |
|0456700047|null |
|0456700048|null |
|0456700050|null |
|0456700051|null |
|0456700053|null |
|0456700054|null |
|0456700056|null |
|0456700057|null |
|0456700059|null |
|0456700060|null |
|0456700062|null |
|0456700063|null |
|0456700065|null |
|0456700066|null |
|0456700068|null |
|0456700069|null |
|0456700071|null |
|0456700072|null |
|0456700002|16 |
|0456700005|16 |
|0456700008|16 |
|0456700011|16 |
|0456700014|16 |
|0456700017|16 |
|0456700020|16 |
|0456700023|16 |
|0456700026|16 |
|0456700029|16 |
|0456700032|16 |
|0456700035|16 |
|0456700038|16 |
|0456700041|16 |
|0456700044|16 |
|0456700047|16 |
|0456700050|16 |
|0456700053|16 |
|0456700056|16 |
|0456700059|16 |
|0456700062|16 |
|0456700065|16 |
|0456700068|16 |
|0456700071|16 |
+----------+----------------+

This did the trick,
val nonTrained_ds = base_ds.filter(col("primary_offer_id").isNull).distinct()
val trained_ds = base_ds.filter(col("primary_offer_id").isNotNull).distinct()

Emacs Orgmode table $> References does not work

GNU Emacs 24.4.1 org-mode
Here is an org-mode table
#+TBLNAME: revenue
| / | < | | < | | < | | | | | | | | | | | |
| Product | Year_SUM | Month_SUM | Platform | Platform_SUM | adwo | AdMob | adChina | adSage | appfigures | appdriver | coco | Domob | Dianru | Limei | guohead | youmi |
| | | | | | | | | | | | | | | | | |
|---------+----------+-----------+----------+------------------+------+-------+---------+--------+------------+-----------+------+-------+--------+-------+---------+-------|
| Jan | | | iOS | #ERROR | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| | | | Android | =vsum($6..$>);NE | | 1 | | 1 | | 1 | | 1 | | 1 | | 1 |
|---------+----------+-----------+----------+------------------+------+-------+---------+--------+------------+-----------+------+-------+--------+-------+---------+-------|
| | | | | | | | | | | | | | | | | |
#+TBLFM: $5=vsum($6..$>);NE
As you see ,the formula $5=vsum($6..$>);NE can't be calculated! Here is debug info:
Substitution history of formula
Orig: vsum($6..$>)
$xyz-> vsum($6..$>)
#r$c-> vsum($6..$>)
$1-> vsum((0)..$>)
--------^
Error: Expected `)'
But if I replace the formula with $5=vsum($6..$17) and then it works ,I can't figure out where is the problem?
I need some help ,appreciate it!