Examples of mondrian.rolap.RolapAggregator$BaseAggor

mondrian.rolap.RolapAggregator
This is the base class for implementing aggregators over sum and average columns in an aggregate table. These differ from the above aggregators in that these require not oly the operand to create the aggregation String expression, but also, the aggregate table's fact count column expression. These aggregators are NOT singletons like the above aggregators; rather, each is different because of the fact count column expression.


        JdbcSchema.Table.Column.Usage aggUsage =
            aggColumn.newUsage(JdbcSchema.UsageType.MEASURE);


        aggUsage.setSymbolicName(factUsage.getSymbolicName());
        RolapAggregator ra = convertAggregator(
            aggUsage,
            factUsage.getAggregator(),
            aggSiblingUsage.getAggregator());
        aggUsage.setAggregator(ra);
        aggUsage.rMeasure = factUsage.rMeasure;

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    {
        JdbcSchema.Table.Column.Usage aggUsage =
            aggColumn.newUsage(JdbcSchema.UsageType.MEASURE);


        aggUsage.setSymbolicName(factUsage.getSymbolicName());
        RolapAggregator ra =
                convertAggregator(aggUsage, factUsage.getAggregator());
        aggUsage.setAggregator(ra);
        aggUsage.rMeasure = factUsage.rMeasure;
    }

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        final JdbcSchema.Table.Column.Usage aggUsage,
        final RolapAggregator factAgg,
        final RolapAggregator siblingAgg)
    {
        msgRecorder.pushContextName("Recognizer.convertAggregator");
        RolapAggregator rollupAgg =  null;


        String columnExpr = getFactCountExpr(aggUsage);
        if (factAgg == RolapAggregator.Avg) {
            if (siblingAgg == RolapAggregator.Avg) {
                rollupAgg =  new RolapAggregator.AvgFromAvg(columnExpr);

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            }
            RolapStar.Measure rMeasure = (RolapStar.Measure) rColumn;
            if (!rMeasure.getCubeName().equals(cubeName)) {
                continue;
            }
            final RolapAggregator aggregator = rMeasure.getAggregator();
            JdbcSchema.Table.Column c = getColumn(factTable, name);
            if (c == null) {
                getLogger().warn(
                    "For RolapStar: \""
                    + getFactTable().getAlias()

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            pw.print(sqlQuery.getDialect().quoteIdentifier(c.getName()));
            pw.println(',');
        }
        for (JdbcSchema.Table.Column.Usage usage : measures) {
            JdbcSchema.Table.Column c = usage.getColumn();
            RolapAggregator agg = usage.getAggregator();


            pw.print(prefix);
            pw.print(
                agg.getExpression(sqlQuery.getDialect().quoteIdentifier(
                    factTableName, c.getName())));
            pw.print(" AS ");
            pw.print(sqlQuery.getDialect().quoteIdentifier(c.getName()));
            pw.println(',');
        }

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            }
        }
        for (JdbcSchema.Table.Column.Usage usage : measures) {
            JdbcSchema.Table.Column c = usage.getColumn();
            JdbcSchema.Table t = c.getTable();
            RolapAggregator agg = usage.getAggregator();


            pw.print(prefix);
            pw.print(
                agg.getExpression(sqlQuery.getDialect().quoteIdentifier(
                    t.getName(), c.getName())));
            pw.print(" AS ");
            pw.print(sqlQuery.getDialect().quoteIdentifier(c.getName()));
            pw.println(',');
        }

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            }
            RolapStar.Measure rMeasure = (RolapStar.Measure) rColumn;
            if (!rMeasure.getCubeName().equals(cubeName)) {
                continue;
            }
            final RolapAggregator aggregator = rMeasure.getAggregator();
            JdbcSchema.Table.Column c = getColumn(factTable, name);
            if (c == null) {
                getLogger().warn(
                    "For RolapStar: \""
                    + getFactTable().getAlias()

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            pw.print(sqlQuery.getDialect().quoteIdentifier(c.getName()));
            pw.println(',');
        }
        for (JdbcSchema.Table.Column.Usage usage : measures) {
            JdbcSchema.Table.Column c = usage.getColumn();
            RolapAggregator agg = usage.getAggregator();


            pw.print(prefix);
            pw.print(
                agg.getExpression(sqlQuery.getDialect().quoteIdentifier(
                    factTableName, c.getName())));
            pw.print(" AS ");
            pw.print(sqlQuery.getDialect().quoteIdentifier(c.getName()));
            pw.println(',');
        }

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            }
        }
        for (JdbcSchema.Table.Column.Usage usage : measures) {
            JdbcSchema.Table.Column c = usage.getColumn();
            JdbcSchema.Table t = c.getTable();
            RolapAggregator agg = usage.getAggregator();


            pw.print(prefix);
            pw.print(
                agg.getExpression(sqlQuery.getDialect().quoteIdentifier(
                    t.getName(), c.getName())));
            pw.print(" AS ");
            pw.print(sqlQuery.getDialect().quoteIdentifier(c.getName()));
            pw.println(',');
        }

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Related Classes of mondrian.rolap.RolapAggregator$BaseAggor

mondrian.rolap.aggmatcher.AggGen

mondrian.rolap.aggmatcher.Recognizer

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