You didn't specify a version so I'll use IRIS 2020.1. This should also work in 2019 versions. My example uses a Table-Valued Function. Any query can potentially be used as a table valued function. %SQL.CustomQuery simply generates all the infrastructure for you. Custom query works quite simply and is very similar to an embedded SQL cursor - you implement Open, Fetch and Close yourself (%OpenCursor, %FetchCursor, %CloseCursor). You define properties that correspond to columns in your row. You define private properties to hold the cursor state. Open typically binds the source data to the instance of your custom query and close releases any resources. Fetch simply advances the cursor to the next row, populating the properties that represent columns in your table. Look at the class doc for %SQL.CustomQuery for more details.

select * from TVF_TEST('[["one",2,"three"],["first",0,"third"]]')

col1

col2

col3

one

2

three

first

0

third

The class is simple:

Class User.TVF Extends %SQL.CustomQuery [ Language = objectscript ]
{

Parameter SQLNAME As String = "TVF_TEST";

Property data As %Library.DynamicArray [ Private ];

Property iterator As %Iterator.Array [ Private ];

Property col1 As %String;

Property col2 As %Integer;

Property col3 As %String;

Method %OpenCursor(data As %Library.DynamicArray) [ Private ]
{
    if $isobject(data) {
        set ..data = data
    } else {
        set ..data = [].%FromJSON(data)
    }
    set ..iterator = ..data.%GetIterator()
}

Method %FetchCursor() As %Library.Integer
{
    if ..iterator.%GetNext(.key,.value) {
        set ..col1 = value.%Get(0)
        set ..col2 = value.%Get(1)
        set ..col3 = value.%Get(2)
        return 1
    } else {
        set ..col1 = ""
        set ..col2 = ""
        set ..col3 = ""
    }
    return 0
}

}

In reviewing the storage definition you present above, I realize that the list of properties has little to do with the SQL Map definitions it includes. So I will continue with my example, using the properties your example defines (they are present in the storage definition only for the purpose of computing statistics and other storage specific metadata).

Without altering the class definition, other than to add a couple of keywords to make life a bit simpler in the class header and the conversion of the storage to use SQL Mapped Storage (%CacheSQLStorage in your version), and adding %Populate - our test data generator - I came up with this example data storage:

USER>d ##class(Patient).Populate(10)

USER>zw ^User.PatientD

^User.PatientD=10

^User.PatientD(1)=":J5201:Z5211:58985:Isaacs,Michael A.:501759566:H2536:A8788:377-96-6394:J7857:G3137:R4692:42233"

^User.PatientD(2)=":S4498:Z4308:62077:Cooke,Mario C.:832248338:Z9867:V1891:859-50-1555:I9221:H3938:W7632:25909"

^User.PatientD(3)=":J8016:S3895:53889:Quilty,Nellie J.:150706592:J3845:B6691:998-18-8294:B482:D5191:R7961:59453"

^User.PatientD(4)=":H8837:T289:43380:Quince,Samantha U.:115923507:F6623:S6188:407-88-9788:R8672:Y1441:A9501:60822"

^User.PatientD(5)=":N1854:W4497:55465:North,Susan A.:784860058:Z8257:E2831:187-93-1523:T3167:U4316:A9955:34073"

^User.PatientD(6)=":A4324:Z7427:61318:Lopez,Will F.:133068033:K7869:R5254:302-73-2490:B2970:F1889:P8421:26050"

^User.PatientD(7)=":N4346:Y671:65137:Moon,Milhouse Z.:459189579:E6160:R3362:507-37-8752:L8401:R7909:F4245:60716"

^User.PatientD(8)=":N4328:V1682:47890:Zweifelhofer,Terry V.:360767849:B8856:E145:466-23-4632:K4269:X2839:S1937:49318"

^User.PatientD(9)=":M7370:B6086:49261:Rotterman,Lawrence S.:353537548:S6329:B9164:874-34-2035:D4140:U7504:N1456:66241"

^User.PatientD(10)=":W995:B5004:50613:Ironhorse,Barb I.:809117324:S6518:V1966:873-92-8543:Z9470:H6976:G2259:40210"


USER>zw ^User.PatientI

^User.PatientI("A"," A4324",6)=""

^User.PatientI("A"," H8837",4)=""

^User.PatientI("A"," J5201",1)=""

^User.PatientI("A"," J8016",3)=""

^User.PatientI("A"," M7370",9)=""

^User.PatientI("A"," N1854",5)=""

^User.PatientI("A"," N4328",8)=""

^User.PatientI("A"," N4346",7)=""

^User.PatientI("A"," S4498",2)=""

^User.PatientI("A"," W995",10)=""

And this is the full definition of the class - with the index map defined as a new SQL Map Definition in the storage. I highlighted a few things to show the connections between the logical class definition and the corresponding items in the storage definition.

Class User.Patient Extends (%Persistent, %Populate) [ SqlRowIdName = Patient, StorageStrategy = SQLStorage ]
{

Index AcctIndex On accountNo;

Property accountNo As %String;

Property citySt As %String;

Property dob As %Date;

Property name As %String;

Property patientNo As %Integer;

Property rel2Guar As %String;

Property sex As %String;

Property ssn As %String;

Property street1 As %String;

Property street2 As %String;

Property telephone As %String;

Property zip As %String;

Storage SQLStorage
{
<SqlIdExpression>$i(^User.PatientD)</SqlIdExpression>
<SQLMap name="DataMasterMap">
<Data name="accountNo">
<Delimiter>":"</Delimiter>
<Piece>2</Piece>
</Data>
<Data name="citySt">
<Delimiter>":"</Delimiter>
<Piece>3</Piece>
</Data>
<Data name="dob">
<Delimiter>":"</Delimiter>
<Piece>4</Piece>
</Data>
<Data name="name">
<Delimiter>":"</Delimiter>
<Piece>5</Piece>
</Data>
<Data name="patientNo">
<Delimiter>":"</Delimiter>
<Piece>6</Piece>
</Data>
<Data name="rel2Guar">
<Delimiter>":"</Delimiter>
<Piece>7</Piece>
</Data>
<Data name="sex">
<Delimiter>":"</Delimiter>
<Piece>8</Piece>
</Data>
<Data name="ssn">
<Delimiter>":"</Delimiter>
<Piece>9</Piece>
</Data>
<Data name="street1">
<Delimiter>":"</Delimiter>
<Piece>10</Piece>
</Data>
<Data name="street2">
<Delimiter>":"</Delimiter>
<Piece>11</Piece>
</Data>
<Data name="telephone">
<Delimiter>":"</Delimiter>
<Piece>12</Piece>
</Data>
<Data name="zip">
<Delimiter>":"</Delimiter>
<Piece>13</Piece>
</Data>
<Global>^User.PatientD</Global>
<Structure>list</Structure>
<Subscript name="1">
<Expression>{Patient}</Expression>
</Subscript>
<Type>data</Type>
</SQLMap>
<SQLMap name="IndexNName">
<BlockCount>-4</BlockCount>
<Global>^User.PatientI</Global>
<Structure>list</Structure>
<Subscript name="1">
<Expression>"A"</Expression>
</Subscript>
<Subscript name="2">
<Expression>$$SQLUPPER({accountNo})</Expression>
</Subscript>
<Subscript name="3">
<Expression>{Patient}</Expression>
</Subscript>
<Type>index</Type>
</SQLMap>
<StreamLocation>^User.PatientS</StreamLocation>
<Type>%Storage.SQL</Type>
}

}

and this is how it appears in the SQL Manager display of the indexes:

Fair enough. Let's make this more fun! First of all, we need to understand the IDKEY index. InterSystems is somewhat unique in the market with this one. Most SQL vendors support indexes and most support "clustering" data with indexes to further improve the performance of certain queries. Think of our IDKEY index as the "Master Data Index" (sometimes referred to as the "Master Map" or "Data Map"). The "Master Data Index" (MDI) is simply the index that has every column "clustered" with it - all data values are present in the IDKEY index structure. Every table (persistent class) has an IDKEY index and every column (property in Object terms) is stored with it.

Any other index - not the MDI - is simply there to improve query performance. Each non-MDI index has an index key and perhaps some data clustered with it. InterSystems is not different from most other SQL implementations. You can create a new table and add indexes to it using standard DDL statements. We, like most vendors, have some non-standard syntax to support features unique to our product but it is mostly familiar syntax. You can also define a class directly using one of our IDE's or your favorite editor. And all of this will just work - no special effort required and your experience will be similar to that of using any other SQL. 

Your example is different. We support low-level storage mapping to legacy data structures. There are two additional storage classes that support this, one of which is used by your example - %CacheSQLStorage. This storage class was introduced specifically to provide a bridge from legacy applications to Caché/InterSystems IRIS. Mapping legacy data structures can be a complicated task and it can be confusing. And this is where you are - you have an application that is using our support for bridging existing data structures to our DBMS.

And none of that helps you with your problem! So let's try this. Let's define your class without using the legacy data mapping. I'll choose some simply data types just to illustrate.

Class User.Patient Extends %Persistent
{

Index AcctIndex On accountNo;

Property accountNo As %String;

Property citySt As %String;

Property dob As %Date;

Property name As %String;

Property patientNo As %Integer;

Property rel2Guar As %String;

Property sex As %String;

Property ssn As %String;

Property street1 As %String;

Property street2 As %String;

Property telephone As %String;

Property zip As %String;

}

That's it - no special work involved, just a quick and easy class definition with an index on accountNo defined. This is what it looks like in the SQL Manager:

This is an example without the legacy global mapping. %BuildIndices is automatically generated and there is nothing else you would need to do to define, populate and maintain this index - other than to build it initially if it was added to a previously populated extent.

In my next comment (this one is getting long), I'll convert the default storage structure into a mapped storage structure using %CacheSQLStorage.

Hi Keith,

%BuildIndices/%PurgeIndices are generated for any class that primarily extends %Library.Persistent. When such a class defines one or more indexes and that class uses SQL Storage then the class must also define an index map in the storage definition. Without that the index simply won't be maintained - it doesn't exist as far as SQL is concerned. Your display in the original posting is a view of the SQL table definition. The SQL table definition is a projection of the class definition to SQL.

Your first example shows an index that is defined as the IDKEY index - that is the index definition that corresponds to the SQL Master Map (data map). I'm not surprised that it doesn't show up in the indexes display of the SQL Manager.

If WRC isn't an option then a good place to start is to work through just one of your classes. If you can choose one simple example perhaps we can suggest corrections for you.

-Dan

There is a more general way to describe this situation. First consider what is actually happening. When you open an Object (%Open/%OpenId) you are copying data from persistent storage into memory. Then some other actor is modifying the data in persistent storage so the in-memory data is no longer the same as the data in persistent storage. If you were to then copy the in-memory data back to persistent storage (%Save), assuming the same identifier is used, then the modifications from the other actor would be overwritten.

There are two ways that Objects/SQL Persistence will allow this to happen (I call the action performed by the other actor an underwrite). First is the case you present with your example (same process performs underwrite and overwrite). Second is when there are no or insufficient concurrency controls in place. The second case is easily resolved simply by employing proper concurrency control mechanisms to prevent under/over writes. The first case is more sinister because normal pessimistic concurrency mechanisms won't guard against this case. This case occurs when a process holds data in memory and then updates the data in persistent storage either using direct global set/kill or by using SQL. Optimistic concurrency controls will guard against only the SQL update case, direct global set/kill will go undetected unless those set/kill actions also update the version number of the data.

%Reload() was not intended to solve this problem. %Reload() is automatically invoked when the concurrency setting of an object in memory is updated from no-retained lock (value less than 3) to a retained lock (value 3 or 4). In this case, data is automatically sync'ed with data on disk to ensure that the now-lock protected data is the same in-memory and in persistent storage. However, %Reload() can be invoked directly to perform this same action should user code somehow detect it is necessary. 

If the reason you want to %Reload() the data is because the persistent storage was modified by SQL then I have the same question as Fab asked above. Why would you use SQL to update the data? I can think of a few reasons why you might want to do that but there are other ways to accomplish the same task without having to worry about the state of data in memory vs. the state of data in persistent storage.

If you were to use optimistic concurrency controls (VERSIONPROPERTY) then %Save()/UPDATE will fail if the version numbers don't match and then the user code can go into a state where conflicts can be resolved.

There is an interesting dynamic SQL feature that will guard against the case where some objects may be in memory and the user code needs to SQL to update data. I am happy to provide an example of this technique if someone is interested.

-Dan

Another option that abstracts the caller completely from the quoting requirements is to use a parameter. Parameters in Dynamic SQL are positional. Also, keep in mind that literals are replaced automatically in dynamic SQL statements so using a parameter for this will not add any overhead to the processing.

  set statement = ##class(%SQL.Statement).%New()

  do statement.prepare("insert into Stats(Country) VALUES (?)")

  set result = statement.execute(CountryId)

Keep in mind the lowercase form of prepare and execute work as their %Prepare/%Execute counterparts but they throw exceptions instead of using %Status interfaces.

If you have flexibility with the schema definition then there are certainly other models that would make a query such as this simpler.

With an array collection that is stored as a serialized list you will have to either write a procedure, define some computed properties, or you will have to use some of the InterSystems collection extensions that may not work very well with collections of objects.

Our projection of serial types (classes that extend %SerialObject) uses a "flattening model" and we don't use that for serial collections stored as "listnode" structures. We do use it in the specific case of an array of serial objects stored using a "subnode" structure - the default.

I know this all sounds a bit scary but it doesn't need to be. When you get back to this we can walk through the options.