Examples of mondrian.rolap.RolapAggregator$AvgFromAvg

mondrian.rolap.RolapAggregator
Aggregator used for aggregate tables implementing the average aggregator.
It uses the aggregate table fact_count column and an average measure to create the query used to generate an average:
avg == sum(column_sum * factcount) / sum(factcount).

If the fact table has both a sum and average over the same column and the aggregate table only has a average and fact count column, then the average aggregator can be generated using this aggregator.


        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$AvgFromAvg

mondrian.rolap.aggmatcher.AggGen

mondrian.rolap.aggmatcher.Recognizer

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