Entity framework joins - join

I'm using the entity framework 4.0 and I'm having some issues with the syntax of my query. I'm trying to join 2 tables and pass a parameter to find the value at the same time.I would like find all of the products in table 2 by finding the correlating value in table 1.
Can someone help me out with syntax please?
Thanks in advance.
sample data
table 1
ID productID categoryID
361 571 16
362 572 17
363 573 16
364 574 19
365 575 26
table 2
productID productCode
571 sku
572 sku
573 sku
574 sku
575 sku
var q = from i in context.table1
from it in context.table2
join <not sure>
where i.categoryID == it.categoryID and < parameter >
select e).Skip(value).Take(value));
foreach (var g in q)
{
Response.Write(g.productID);
}


var q = from i in context.table1
join it in context.table2 on i.productID equals it.productID
where i.categoryID == it.categoryID and it.productCode = xyz
select i).Skip(value).Take(value));

Related

Inner join return duplicated record

My table:
Report_Period
Entity
Tag
Users Count
Report_Period_M-1
Report_Period_Q-1
...
2017-06-30
entity 1
X
471
2017-05-31
2017-03-31
...
2020-12-31
entity 2
A
135
2020-11-30
2020-09-30
...
2020-11-30
entity 3
X
402
2020-10-31
2020-08-31
...
What I want:
Report_Period
Entity
Tag
Users Count
Users_Count_M-1
Users_Count_Q-1
...
2017-06-30
entity 1
X
471
450
438
...
2020-12-31
entity 2
A
135
122
118
...
2020-11-30
entity 3
X
402
380
380
...
I have have tried this code but it duplicate records! How can I avoid it?
SELECT M."Entity",M."Tag",M."Report_Period",M."Users Count",
M."Report_Period_M-1",M1."Users Count" AS "Users Count M1",
FROM "DB"."SCHEMA"."PERIOD" M, "DB"."SCHEMA"."PERIOD" M1
WHERE M."Report_Period_M-1"= M1."Report_Period"

Your join clause should include the entity column and tag (I suspect)
SELECT M."Entity",
M."Tag",
M."Report_Period",
M."Users Count",
M."Report_Period_M-1",
M1."Users Count" AS "Users Count M1",
FROM "DB"."SCHEMA"."PERIOD" M,
"DB"."SCHEMA"."PERIOD" M1
WHERE M."Report_Period_M-1"= M1."Report_Period"
AND M."Entity" = M1."Entity"
AND M."Tag" = M1."Tag"

LSTM predicting time series yields odd results

I'm trying to predict time series data for the next few days looking at past few days, using Keras. My label data is target values for multiple future days, regression model has multiple output neurons (the "direct approach" for time series).
Here is test data with predictions for 10 days, using 60 days history.
10 days prediction for test data
As you can see, future values for all days are about the same. I've spent quite some time on it, and must admit that I'm probably missing something with respect to LSTM...
Here is training data with prediction:
10 days prediction for training data
In order to confirm that I'm preparing data properly, I've created a "tracking data set" which I used to visualize data transformations. Here it is...
Data set:
Open,High,Low,Close,Volume,OpenInt
111,112,113,114,115,0
121,122,123,124,125,0
131,132,133,134,135,0
141,142,143,144,145,0
151,152,153,154,155,0
161,162,163,164,165,0
171,172,173,174,175,0
181,182,183,184,185,0
191,192,193,194,195,0
201,202,203,204,205,0
211,212,213,214,215,0
221,222,223,224,225,0
231,232,233,234,235,0
241,242,243,244,245,0
251,252,253,254,255,0
261,262,263,264,265,0
271,272,273,274,275,0
281,282,283,284,285,0
291,292,293,294,295,0
Training set using 2 days history, predicting 3 days future values (I used different values of history days and future days, and it all makes sense to me), without feature scaling in order to visualize data transformations:
X train (6, 2, 5)
[[[111 112 113 114 115]
[121 122 123 124 125]]
[[121 122 123 124 125]
[131 132 133 134 135]]
[[131 132 133 134 135]
[141 142 143 144 145]]
[[141 142 143 144 145]
[151 152 153 154 155]]
[[151 152 153 154 155]
[161 162 163 164 165]]
[[161 162 163 164 165]
[171 172 173 174 175]]]
Y train (6, 3)
[[131 141 151]
[141 151 161]
[151 161 171]
[161 171 181]
[171 181 191]
[181 191 201]]
Test set
X test (6, 2, 5)
[[[201 202 203 204 205]
[211 212 213 214 215]]
[[211 212 213 214 215]
[221 222 223 224 225]]
[[221 222 223 224 225]
[231 232 233 234 235]]
[[231 232 233 234 235]
[241 242 243 244 245]]
[[241 242 243 244 245]
[251 252 253 254 255]]
[[251 252 253 254 255]
[261 262 263 264 265]]]
Y test (6, 3)
[[221 231 241]
[231 241 251]
[241 251 261]
[251 261 271]
[261 271 281]
[271 281 291]]
Model:
def CreateRegressor(self,
optimizer='adam',
activation='tanh', # RNN activation
init_mode='glorot_uniform',
hidden_neurons=50,
dropout_rate=0.0,
weight_constraint=0,
stateful=False,
# SGD parameters
learn_rate=0.01,
momentum=0):
kernel_constraint = maxnorm(weight_constraint) if weight_constraint > 0 else None
model = Sequential()
model.add(LSTM(units=hidden_neurons, activation=activation, kernel_initializer=init_mode, kernel_constraint=kernel_constraint,
return_sequences=True, input_shape=(self.X_train.shape[1], self.X_train.shape[2]), stateful=stateful))
model.add(Dropout(dropout_rate))
model.add(LSTM(units=hidden_neurons, activation=activation, kernel_initializer=init_mode, kernel_constraint=kernel_constraint,
return_sequences=True, stateful=stateful))
model.add(Dropout(dropout_rate))
model.add(LSTM(units=hidden_neurons, activation=activation, kernel_initializer=init_mode, kernel_constraint=kernel_constraint,
return_sequences=True, stateful=stateful))
model.add(Dropout(dropout_rate))
model.add(LSTM(units=hidden_neurons, activation=activation, kernel_initializer=init_mode, kernel_constraint=kernel_constraint,
return_sequences=False, stateful=stateful))
model.add(Dropout(dropout_rate))
model.add(Dense(units=self.y_train.shape[1]))
if (optimizer == 'SGD'):
optimizer = SGD(lr=learn_rate, momentum=momentum)
model.compile(optimizer=optimizer, loss='mean_squared_error')
return model
...which I create with these params:
self.CreateRegressor(optimizer = 'adam', hidden_neurons = 100)
... and then fit like this:
self.regressor.fit(self.X_train, self.y_train, epochs=100, batch_size=32)
... and predict:
y_pred = self.regressor.predict(X_test)
... or
y_pred_train = self.regressor.predict(X_train)
What am I missing?

aggration and self join

hi I am working on this query, wondering whether there is a good way to achieve. TableA as
zone_no price produceDate
54 12.33 20161201
58 7.88 20161224
64 28.27 20160812
67 20.45 20160405
87 14.08 20161102
92 1.69 20160101
101 12.57 20140501
141 22.21 20150601
157 14.28 20160417
select max(price) from tableA where zone_no between 54 and 145
select max(price) from tableA where Zone_no between 92 and 141
outcome:
price(Zone 54-145) price(zone 92-141)
28.27 22.57
how to achieve this without CTE? thanks

alternative solution
select sum(een), sum(twee) from (
select max(price) as een, 0 as twee from tableA where zone_no between 54 and 145
union
select 0, max(price) from tableA where Zone_no between 92 and 141
)

Insert sections at the beginning of UICollectionView

I want to add some sections to UICollectionView. insertSections at the index zero didn't work for me. So my idea was to insertSections at the end and then use moveSection:toSection: to move the elements from the end to the beginning. Here I get
NSInternalInconsistencyException Reason: attempt to move section 36, but there are only 36 sections before the update
I can only provide C# code, but you can also post Objective-C/Swift.
this.controller.CollectionView.PerformBatchUpdatesAsync (
delegate() {
nint sectionsBefore = this.controller.CurrentNumberOfSections;
this.controller.CurrentNumberOfSections += 12;
this.controller.CollectionView.InsertSections(NSIndexSet.FromNSRange(new NSRange(sectionsBefore,12)));
for(nint i=sectionsBefore; i<=this.controller.CurrentNumberOfSections; i++){
this.controller.CollectionView.MoveSection(i,0);
}
}
);
Edit:
Here is an output of the variables:
sectionsBefore: 36
CurrentNumberOfSections: 48
Range: <NSIndexSet: 0x7a77b9b0>[number of indexes: 12 (in 1 ranges), indexes: (36-47)]
36
37
38
39
40
41
42
43
44
45
46
47

If you have 36 sections then then your valid section indexes are 0-35, but your loop will end up calling MoveSection(36, 0). You should use < instead of <=.

why is code not executing on return from Future in Dart program

Could someone please explain to me why in the following code (using r25630 Windows), the value of iInsertTot at line 241 is null, or more to the point, why is line 234 ("return iInsertTot;") not executed and therefore at line 241, iInsertTot is null. The value of iInsertTot at lines 231/232 is an integer. While I can and probably should code this differently, I thought that I would try and see if it worked, because my understanding of Futures and Chaining was that it would work. I have used “return” in a similar way before and it worked, but I was returning null in those cases (eg. line 201 below).
/// The problem lines are :
233 fUpdateTotalsTable().then((_) {
234 return iInsertTot;
235 });
While running in the debugger, it appears that line 234 “return iInsertTot;” is never actually executed. Running from command line has the same result.
The method being called on line 233 (fUpdateTotalsTable) is something I am just in the process of adding, and it consists basically of sync code at this stage. However, the debugger appears to go through it correctly.
I have included the method “fUpdateTotalsTable()” (line 1076) just in case that is causing a problem.
Lines 236 to 245 have just been added, however just in case that code is invalid I have commented those lines out and run with the same problem occurring.
218 /*
219 * Process Inserts
220 */
221 }).then((_) {
222 sCheckpoint = "fProcessMainInserts";
223 ogPrintLine.fPrintForce ("Processing database ......");
224 int iMaxInserts = int.parse(lsInput[I_MAX_INSERTS]);
225 print ("");
226 return fProcessMainInserts(iMaxInserts, oStopwatch);
227 /*
228 * Update the 'totals' table with the value of Inserts
229 */
230 }).then((int iReturnVal) {
231 int iInsertTot = iReturnVal;
232 sCheckpoint = "fUpdateTotalsTable (insert value)";
233 fUpdateTotalsTable().then((_) {
234 return iInsertTot;
235 });
236 /*
237 * Display totals for inserts
238 */
239 }).then((int iInsertTot) {
240 ogTotals.fPrintTotals(
241 "${iInsertTot} rows inserted - Inserts completed",
242 iInsertTot, oStopwatch.elapsedMilliseconds);
243
244 return null;
245 /*
192 /*
193 * Clear main table if selected
194 */
195 }).then((tReturnVal) {
196 if (tReturnVal)
197 ogPrintLine.fPrintForce("Random Keys Cleared");
198 sCheckpoint = "Clear Table ${S_TABLE_NAME}";
199 bool tClearTable = (lsInput[I_CLEAR_YN] == "y");
200 if (!tFirstInstance)
201 return null;
202 return fClearTable(tClearTable, S_TABLE_NAME);
203
204 /*
205 * Update control row to increment count of instances started
206 */
207 }).then((_) {
1073 /*
1074 * Update totals table with values from inserts and updates
1075 */
1076 async.Future<bool> fUpdateTotalsTable() {
1077 async.Completer<bool> oCompleter = new async.Completer<bool>();
1078
1079 String sCcyValue = ogCcy.fCcyIntToString(ogTotals.iTotAmt);
1080
1081 print ("\n********* Total = ${sCcyValue} \n");
1082
1083 oCompleter.complete(true);
1084 return oCompleter.future;
1085 }

Your function L230-235 does not return anything and that's why your iInsertTot is null L239. To make it work you have to add a return at line 233.
231 int iInsertTot = iReturnVal;
232 sCheckpoint = "fUpdateTotalsTable (insert value)";
233 return fUpdateTotalsTable().then((_) {
234 return iInsertTot;
235 });

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