Need to fetch value from array for each index in MAT - mat

Need to fetch value from array for each in MAT
SELECT a.table[0].value.specVersion.value FROM OBJECTS 742325 a
In above query, i am able to get the value on specific index but i want run in loop to fetch value for every index in an array.

Something like
SELECT b.value.specVersion.value from OBJECTS (SELECT a.table[0:-1] FROM OBJECTS 742325 a) b
should work, though it doesn't give you the array index.
The inner select gives you the array contents, the outer one then steps through the contents.

Related

Coldfusion Query broken column structure

A coldfusion query's column can be referenced like a 2D array from what I know of my past experience. Sometimes though I get this issue.
create query from spreadsheet
put column names into an array
only get first element when trying to access the row
have to use a workaround
//imports is a query object after this function
var imports = convertSpreadsheetWOHeaders(spreadsheet, 1);
//this is used to give name values in the json struct, not to access the query columns
var jsonHeaders = ListToArray("number,constructiontype,description,site_address,parcel,permit_date,note_Applicant,note_Contractor,valuation,note_Bld_Fees,note_Other_Fees");
//this gives me ["col_1","col_2","col_3",,,etc]. used to access query columns
var columnHeaders = imports.getColumnNames();
writeDump(imports[columnHeaders[1]]);
writeDump(imports);
I am left with just the first element in column one. And I get of course:
Message: You have attempted to dereference a scalar variable of type class java.lang.String as a structure with members.
When trying to do this:
structInsert(jsonStruct,jsonHeaders[j],imports[columnHeaders[j]][i]);
However, this works:
writeDump(ListToArray(ArrayToList(imports[columnHeaders[1]],'|'),'|',true));
I first do a dump of imports["col_1"] and i get only the first element.
Then I do a dump of ListToArray(ArrayToList(imports["col_1"])) like you see in the above image and it gives me the whole column.
Why can I not access the column correctly in the first place?
The Real Problem:
I was originally trying to access the jsonHeaders list as an array without doing ListToArray() on it. After that my function worked.
BUT. This next part is helpful.
When attempting to access a query object, doing queryObject["columnName"] is considered a shortcut of queryObject["columnName"][1] so coldfusion will just give you the first element.
But when I said ListToArray(ArrayToList()) coldfusion sees that ArrayToList MUST take in an array so an exception is made and the column is returned as an array.
To get a column back as an array to work with you can do a couple things
ListToArray(ArrayToList(query["column"]));
ListToArray(valueList(query.column));
valueArray(query, "column");

How to give a model object an order (or index), which can be reassigned?

Say you have an ordered list. You order the list based on a model field called "index". So the first item has an index of 0, the second has an index of 1 and so on...
The index is unique to that model object.
How would you implement this?
I want to be able to create more instances of the model object, where the index is assigned to the next available index (add the object to the end of the list). And then be able to reorder the list so that if you change the index of an object, all the following object's indexes increase by one.
If you want an IntegerField that increments itself you can use the id. It's unique for that model and Django generates it automatic. And you can order by this using
inverse:
MyModel.objects.all().order_by('-id')
Normal order:
MyModel.objects.all().order_by('id')
If you just have a field that contains auto-increment-index don't need to create another one only if you can modify it, but if this index is unique you cannot edit it to prevent duplicates. Si I would use the id MyModel.id
Here you have the documentation for .order_by()
There is no field that does that automatically. Have you looked in to using signals for this? You could hook up a signal that detects an index change, and triggers a function that updates the index of every object whose current index is greater than the one being removed/changed.
You may ave to rethink your schema because if you change the index of your first element in the list which has lets say 1 million elements, you are gonna update 1 million objects! You may save for each object its left and right "neighbour" and create a method to get the list.

mysql++ (mysqlpp): how to get number of rows in result prior to iteration using fetch_row through UseQueryResult

Is there an API call provided by mysql++ to get the number of rows returned by the result?
I have code structured as follows:
// ...
Query q = conn.query(queryString);
if(mysqlpp::UseQueryResult res = query.use()){
// some code
while(mysqlpp::Row row = res.fetch_row()){
}
}
My previous question here will be solved easily if a function that returns the number of rows of the result. I can use it to allocate memory of that size and fill in as I iterate row by row.
In case anyone runs into this:
I quote the user manual:
The most direct way to retrieve a result set is to use Query::store(). This returns a StoreQueryResult object,
which derives from std::vector, making it a random-access container of Rows. In turn,
each Row object is like a std::vector of String objects, one for each field in the result set. Therefore, you can
treat StoreQueryResult as a two-dimensional array: you can get the 5th field on the 2nd row by simply saying
result[1][4]. You can also access row elements by field name, like this: result[2]["price"].
AND
A less direct way of working with query results is to use Query::use(), which returns a UseQueryResult object.
This class acts like an STL input iterator rather than a std::vector: you walk through your result set processing
one row at a time, always going forward. You can’t seek around in the result set, and you can’t know how many
results are in the set until you find the end. In payment for that inconvenience, you get better memory efficiency,
because the entire result set doesn’t need to be stored in RAM. This is very useful when you need large result sets.
A suggestion found here: http://lists.mysql.com/plusplus/9047
is to use the COUNT(*) query and fetch that result and then use Query.use again. To avoid inconsistent count, one can wrap the two queries in one transaction as follows:
START TRANSACTION;
BEGIN;
SELECT COUNT(*) FROM myTable;
SELECT * FROM myTable;
COMMIT;

Is there a way to get each row's value from a database into an array?

Say I have a query like the one below. What would be the best way to put each value into an array if I don't know how many results there will be? Normally I would do this with a loop, but I have no idea how many results there are. Would I need run another query to count the results first?
<CFQUERY name="alllocations" DATASOURCE="#DS#">
SELECT locationID
FROM tblProjectLocations
WHERE projectID = '#ProjectName#'
</CFQUERY>
Depending on what you want to do with the array, you can just refer to the column directly for most array operations, eg:
i = arrayLen(alllocations["locationID"]);
Using that notation will work for most array operations.
Note that this doesn't "create an array", it's simply a matter that a query columns - a coldfusion.sql.QueryColumn object is close enough to a CFML array for CF to be able to convert it to one when an array is needed. Hence the column can be passed to an array function.
What one cannot do is this:
myArray = q["locationID"];
This is because by default CF will treat q["locationID"] as a string if it can, and the string value is what's in the first row of the locationID column in the q query. It's only when an array is actually required will CF convert it to an array instead. This is basically how loose-typing works.
So if you just need to pass your query column to some function that expects an array, you can use the syntax above. If you want to actually put the column into a variable, then you will need to do something like this:
myArray = listToArray(valueList(q.localtionID));
NB: make sure you use <cfqueryparam> on your filter values instead of hard-coding them into your SQL statement.
myquery.column.toArray() is also a good undocumented choice.
Since you're only retrieving 1 field value from the query, you could use ValueList() to convert the query results into a comma-delimited list of locationIds, then use listToArray() to change that list into an array.
If you were retrieving multiple field values from the query, then you'd want to loop through the query, copy all the field values from the given row into a struct, and then add that struct to an array using arrayAppend().
(If you're not familiar with these functions, you can look them up in the Adobe docs or on cfquickdocs.com).

Returning objects that work with parent object's data and later invalidate them

I'm working on an implementation of tables in a Qt app, but having a bit of trouble getting the design right.
I have two classes, Table and Cell.
Cell has API for setting cell properties such as borders and paddings, and getting the row and column of the cell using int Cell::row() and int Cell::column(). It is an explicitly shared class, using QExplicitlySharedDataPointer for its data. It also has an isValid() API to query if the cell is valid or not.
Table has API for inserting/removing rows and columns and merging areas of cells. A Cell may be retrieved from a table using Table::cellAt(int row, int column). Rows of cells are kept as a QList<QList<Cell>>. When rows and columns are removed, the removed cells are marked as invalid by the table, which makes calls to Cell::isValid on any previously returned cells from the removed rows/columns return false.
Now to the tricky part: Since calculating the row and column number of a cell if you haven't already got them is an expensive operation, the Table::cellAt(int row, int column) methods sets the row/column explicitly on the Cell before returning it and the Cell keeps them as simple int members. This means a Cell can reply fast when queried for its row/column.
But here comes the problem; This also means that the values of Cell::row() and Cell::column will be incorrect if rows or columns are removed/inserted before the row/column that the cell is in.
I can't mark the affected cells as invalid in the same way I do when the actual row/column they are part of is removed. Since later on someone might again retrieve a cell with cellAt(int, int) in that row/column. And that cell should not be invalid.
Does anyone have some advise on a better design here?
You could do a lazy update. That is, instead of updating the cell's position information every time the table changes, only update it when Cell:row or Cell:column are called if the table has changed since the last time the cell's position was updated. That would require you to keep a version stamp or something in Table and Cell. Every time the table gets updated, bump the version. Cell::row and Cell:column would first check if the Cell's version is older than the Table's, and if so, recalculate the position.
Whether that extra work is worth it versus just always recalculating position or recalculating on every change, I can't say.
I discussed this problem with a friend because it seemed too much like a Programming Pearls exercise. This is what we came up with:
Create a new structure for counting indices. It could be something like struct Index { int n; };.
Store row and column indices in two QList<Index*>. Let's call these Dimension. Using a pointer is crucial, as you'll see later.
Cells do not store their row and column values anymore. They point to an element at each of the two Dimension. When queried for their row and column, there is now an extra pointer dereference which should not be too expensive.
When the table has rows and columns added or removed, you add items to or remove items from the corresponding Dimension and update the n value of the following items. Storing pointers is necessary because QList copies its values.
Instead of renumbering every Cell affected by a table manipulation, an operation that has a cost of O(rows x columns), you'll now update only the affected rows or columns, which has cost of O(rows + columns). The downside is added code complexity and two dereferenced accesses when the Cell is queried for its row or column.