Examples of org.voltdb.plannodes.NodeSchema.addColumn()

org.voltdb.plannodes.NodeSchema.addColumn()
Add a column to this schema. Unless actively modified, updated, or sorted, the column order is implicitly the order in which columns are added using this call

        // Start to do real materialized view processing to fix the duplicates problem.
        // (1) construct new projection columns for scan plan node.
        Set<SchemaColumn> mvDDLGroupbyColumns = new HashSet<SchemaColumn>();
        NodeSchema inlineProjSchema = new NodeSchema();
        for (SchemaColumn scol: scanColumns) {
            inlineProjSchema.addColumn(scol);
        }


        String mvTableAlias = getMVTableAlias();


        for (int i = 0; i < numOfGroupByColumns; i++) {

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            mvDDLGroupbyColumns.add(scol);
            if (!scanColumns.contains(scol)) {
                scanColumns.add(scol);
                // construct new projection columns for scan plan node.
                inlineProjSchema.addColumn(scol);
            }
        }




        // Record the re-aggregation type for each scan columns.

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                AbstractExpression agg_input_expr = scol.getExpression();
                assert(agg_input_expr instanceof TupleValueExpression);
                // Add aggregation information.
                m_reAggNode.addAggregate(reAggType, false, outputColumnIndex, agg_input_expr);
            }
            aggSchema.addColumn(scol);
            outputColumnIndex++;
        }
        m_reAggNode.setOutputSchema(aggSchema);

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        ProjectionPlanNode projectionNode = new ProjectionPlanNode();
        AbstractExpression addressExpr = new TupleAddressExpression();
        NodeSchema proj_schema = new NodeSchema();
        // This planner-created column is magic.
        proj_schema.addColumn(new SchemaColumn("VOLT_TEMP_TABLE",
                                               "VOLT_TEMP_TABLE",
                                               "tuple_address",
                                               "tuple_address",
                                               addressExpr));
        projectionNode.setOutputSchema(proj_schema);

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        ProjectionPlanNode projectionNode = new ProjectionPlanNode();
        TupleAddressExpression tae = new TupleAddressExpression();
        NodeSchema proj_schema = new NodeSchema();
        // This planner-generated column is magic.
        proj_schema.addColumn(new SchemaColumn("VOLT_TEMP_TABLE",
                                               "VOLT_TEMP_TABLE",
                                               "tuple_address",
                                               "tuple_address",
                                               tae));

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        for (Entry<Column, AbstractExpression> col : m_parsedUpdate.columns.entrySet()) {
            String tableName = col.getKey().getTypeName();
            AbstractExpression expr = col.getValue();
            expr.setInBytes(col.getKey().getInbytes());


            proj_schema.addColumn(new SchemaColumn("VOLT_TEMP_TABLE",
                                                   "VOLT_TEMP_TABLE",
                                                   tableName,
                                                   tableName,
                                                   expr));

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                // Most impossible-to-cast type combinations should have already been caught by the
                // parser, but there are also runtime checks in the casting code
                // -- such as for out of range values.
                valExpr = castExprIfNeeded(valExpr, col);


                matSchema.addColumn(new SchemaColumn("VOLT_TEMP_TABLE",
                        "VOLT_TEMP_TABLE",
                        col.getTypeName(),
                        col.getTypeName(),
                        valExpr));
            }

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            SchemaColumn col = new SchemaColumn("VOLT_TEMP_TABLE",
                    "VOLT_TEMP_TABLE",
                    "modified_tuples",
                    "modified_tuples",
                    tve);
            count_schema.addColumn(col);
            countNode.setOutputSchema(count_schema);
        }


        // connect the nodes to build the graph
        sumOrLimitNode.addAndLinkChild(dmlRoot);

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                    }
                    top_schema_col = new SchemaColumn(col.tableName, col.tableAlias, col.columnName, col.alias, topExpr);
                }


                agg_schema.addColumn(schema_col);
                top_agg_schema.addColumn(top_schema_col);
                outputColumnIndex++;
            }


            for (ParsedSelectStmt.ParsedColInfo col : m_parsedSelect.m_groupByColumns) {
                aggNode.addGroupByExpression(col.expression);

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