public interface ServerSummaries
For example, by applying an "average" function to a DataSourceField representing the dollar value of an order, you can calculate the average dollar amount of a set of orders.
Server Summaries is a feature of the
Smart GWT Server allowing similar summaries to be computed server-side, generally by the
database engine itself, or client-side for
clientOnly DataSources
.
Client-side calculation of summary records is also supported on ListGrids via the
showGridSummary feature
.
Server-side calculation is available with Power or better licenses only. See smartclient.com/product for details.
See also the related feature which allows a single field to receive a value summarized from
several related records, DataSourceField.includeSummaryFunction
.
Summarization can be statically configured directly in a .ds.xml file, or can be dynamically
configured when sending a DSRequest
, either client-side or
server-side. The
following examples all assume a DataSource with fields like this:
<DataSource ID="dsOrders" ...> <fields> <field name="customerName" type="text" /> <field name="orderDate" type="date" /> <field name="deliveryStatus" type="string" /> ... </fields> </DataSource>
You can declare summarization directly on an operationBinding
in a
.ds.xml file, using OperationBinding.summaryFunctions
and
OperationBinding.groupBy
.
For example:
<DataSource ID="dsOrders" ...> ... <operationBindings> <operationBinding operationType="fetch" operationId="lastOrderDateByCustomer"> <summaryFunctions> <orderDate>max</orderDate> </summaryFunctions> <groupBy>customerName</groupBy> </operationBinding> </operationBindings> </DataSource>This would return summary records representing the most recent order per customer. Represented in JSON, the returned records would look like:
{ customerName: "JBar Struts", orderDate:"2012/02/05" }, { customerName: "KFoo Widgets", orderDate:"2012/03/01" }, ...This is analogous to the result of a SQL query like:
SELECT max(order.orderDate) order.customerName FROM order GROUP BY order.customerNameNote that, as with SQL, the returned records will only include the fields where summary functions were applied or which were used for grouping - "deliveryDate" and other fields are not included because in general, summary records may represent data from more than one record (there may be more than one record with the "max" value, and consider also "sum" or "avg" functions), so it's ambiguous which record's values should be returned for non-grouped, non-summarized fields.
DSRequest.summaryFunctions
and
DSRequest.groupBy
allow you to
dynamically
request a server summary from client-side code. For example:
DSRequest requestProperties = new DSRequest(); requestProperties.setGroupBy("customerName"); requestProperties.setSummaryFunctions(new HashMap() {{ put("orderDate", SummaryFunctionType.MAX); }}); dsOrders.fetchData(null, callback, request);By default such requests are allowed, but such requests can be disallowed on a per-DataSource or system-wide level if you have concerns - see
DataSource.allowClientRequestedSummaries
.
You can also dynamically request summaries from server-side code (for example, in a DMI method):
DSRequest dsRequest = new DSRequest("dsOrders", "fetch"); dsRequest.setSummaryFunctions(new HashMap() {{ put("orderDate", SummaryFunctionType.MAX); }}); dsRequest.setGroupBy("customerName"); DSResponse dsResponse = dsRequest.execute();
Sort directions are supported for queries that involve server summarization although may only
target fields that are returned by the query (only those fields included in
groupBy
or where a summaryFunction
was applied).
Data paging is also supported, however, consider that for aggregated queries, when asked for
a second page of data, the database is likely to have to repeat all the work of calculating
aggregated values. Turning paging off or setting a generous ListGrid.dataPageSize
is
advised.
Criteria is automatically split into pre and post summarization parts:
group by
fields and fields that
are there just for filtering
purposes, i.e. might not be fetched at all. For example if a "price" field would be a regular
field in a fetch, i.e. not summarized, criteria like "price < 5" will eliminate records
where price is less than 5, so such records would not affect the average or total computed.
Fields that are summarized will have criteria applied to them after summarization. For
example
if the "avg" summary function is being applied to a "price" field would, same criteria "price
< 5"
would eliminate records where summarized value "avg(price)" is less than 5.
Previous versions applied criteria on the server for all fields before summarization.
You can get that behavior back via
OperationBinding.applyCriteriaBeforeAggregation
setting. Note that in that case you need to
turn off client-side
filtering for aggregated fields, because client-side filtering cannot replicate
pre-summarization filtering, as client
sees only the final computed aggregates. See OperationBinding.applyCriteriaBeforeAggregation
docs for more details.
Criteria apply to record before summaries are applied. For example, if the "avg"
function is being applied to a "price" field, criteria like "price < 5" will eliminate
records where price is less than 5 before the average price is calculated. This
means that client-side filtering may not work as expected with summarized results:
client-side filter criteria are necessarily applied after summary functions have been
applied, so may not match the server's behavior. You can set
ResultSet.useClientFiltering
to disable client-side filtering on a grid via
ListGrid.dataProperties
.
Or individual fields can be marked
canFilter:false
.
With the SQL Templating
feature you can
customize portions of the query without
ever having to re-create portions that the framework knows how to generate. This allows to
create partially
or entirely custom complex aggregation queries to use in a regular "fetch" operation. The SQL
Templating
feature supports aggregated queries just as regular ones with some additions, see below.
In clause-by-clause substitution there are two additional aggregation specific clauses:
groupClause
providing
"group by" part of aggregated query and
groupWhereClause
providing "having" part of aggregated query (or outer
"where" part if sub-select approach is used, see OperationBinding.useHavingClause
for more details). The
automatically generated groupClause
and groupWhereClause
clauses are
also available as
$defaultGroupClause
and $defaultGroupWhereClause
SQL templating variables. Note that if OperationBinding.applyCriteriaBeforeAggregation
is set to
true
, groupWhereClause
is not generated.
SQLDataSource.getSQLClause()
server-side API can generate the entire query, in
case you wanted
to use an aggregated query as just part of a larger query (perhaps a sub-select), or different
parts of a query,
including groupClause
and groupWhereClause
aggregated query clauses.
Also note SQLDataSource.getPartialHaving()
and
SQLDataSource.getHavingWithout()
server-side APIs which generate partial SQL condition expressions to be used as a complete or
partial "having"
or outer "where" clause. This is also can be accessed via $sql.partialHaving
and
$sql.havingWithout
functions in SQL templates, see $sql
variable
description in
VelocitySupport
.
To see an example of wrapping the main query as a sub-select to achieve additional aggregation level and splitting provided criteria into different chunks of condition expressions to apply them to specific parts of a completely customized aggregation query, see the Custom Aggregation Query sample.
Fields with customSelectExpression
can be used
with server summaries as both groupBy
fields or fields with
summaryFunction
.
In case of summaryFunction
requested on field with
customSelectExpression
we
will wrap SQL function around the expression, which may or may not be correct.
Declaring just <summaryFunctions> without declaring <groupBy> is allowed. This will always give you exactly one summary record in the result, which will represent the summary functions as applied to all records that match the criteria in the DSRequest.
Declaring just <groupBy> without <summaryFunctions> is also allowed. This gives results similar to a SQL "select distinct": one record per distinct set of values for the grouped fields. This kind of result can be used in various ways; one common use case is populating a ComboBoxItem with a list of existing values for a field that already appear in DataSource records.
Check out this example of grouping without summarizing being used to determine all unique values of a field.
You can implement your own custom aggregation functions in addition to the built-in ones by
providing custom DMI implementation for the "fetch" operation. To see the example of using
custom function see
Custom Aggregation
sample. Note, that in order to access custom summary function on the server-side you need to
use DSRequest.getRawSummaryFunctions()
API.
com.smartgwt.client.types.SummaryFunction
,
DSRequest.getSummaryFunctions()
,
DSRequest.getGroupBy()
,
OperationBinding.summaryFunctions
,
OperationBinding.groupBy
,
DataSourceField.includeSummaryFunction
,
DataSourceField.getJoinPrefix()
,
DataSourceField.getJoinString()
,
DataSourceField.getJoinSuffix()
,
DataSource.allowClientRequestedSummaries
,
DataSourceField.allowClientRequestedSummaries
,
OperationBinding.groupWhereClause
,
ServiceTask.getGroupBy()
,
ServiceTask.getSummaryFunctions()
,
GridFetchDataTask.getGroupBy()
,
GridFetchDataTask.getSummaryFunctions()