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/*** 1. Get the TPC-H data generator tool DBGEN from www.tpc.org (warning: the site contains only the source and make files; you have to use your own C compiler to build the executable dbgen.exe using instructions at http://www.tpc.org/tpch/default.asp 2. Execute dgben with the following parameters to generate the table data: dbgen -vf -s 1 -T L One of the files generated is lineitem.tbl, and it contains 6+ million rows 3. Create a staging table named LINEITEM in your database, using the same definition as LINEITEMPART but without partitioning

DECLARE @emptyLS GEOMETRY = geometry::Parse('LINESTRING EMPTY'); INSERT INTO Highways SELECT NULL, COL0, COL1, COL2, dbo.GeographyUnionAggregate(INTERMEDIATEAGG), @emptyLS FROM ( SELECT STFIPS AS COL0, SIGNT1 AS COL1, SIGNN1 AS COL2, bo.GeographyUnionAggregate(GEOG) AS INTERMEDIATEAGG FROM HIGHWAYS_TEMP WHERE (SIGNT1 = 'S') AND (GEOG IS NOT NULL) GROUP BY STFIPS, SIGNT1, SIGNN1 UNION ALL SELECT STFIPS, SIGNT2, SIGNN2, dbo.GeographyUnionAggregate(GEOG) FROM HIGHWAYS_TEMP WHERE (SIGNT2 = 'S') AND (GEOG IS NOT NULL) GROUP BY STFIPS, SIGNT2, SIGNN2 UNION ALL SELECT STFIPS, SIGNT3, SIGNN3, dbo.GeographyUnionAggregate(GEOG) FROM HIGHWAYS_TEMP WHERE (SIGNT3 = 'S') AND (GEOG IS NOT NULL) GROUP BY STFIPS, SIGNT3, SIGNN3 ) AS DERIVED_TABLE GROUP BY COL0, COL1, COL2 GO

You will get a trivial plan that uses a seek to the first key matching the filter, followed by an ordered partial scan of the sought range, as shown in Figure 3-53 .

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4. Load the data into the staging table using the following bcp command bcp <dbname>..LINEITEM in "lineitem.tbl" -c -b 1000 -a 65535 -t | -r |\n -T 5. Perform the following insert to transform the dates to the year 2009 and at the same time copy data into your partitioned table ***/ INSERT INTO LINEITEMPART SELECT L_ORDERKEY , L_PARTKEY , L_SUPPKEY , , L_LINENUMBER , L_QUANTITY , L_EXTENDEDPRICE , L_DISCOUNT , L_TAX L_RETURNFLAG , L_LINESTATUS , DATEADD (YY,2009-DATEPART(YY,L_SHIPDATE),L_SHIPDATE), DATEADD (YY,2009-DATEPART(YY,L_COMMITDATE),L_COMMITDATE), DATEADD (YY,2009-DATEPART(YY,L_RECEIPTDATE),L_RECEIPTDATE), , L_SHIPINSTRUCT , L_SHIPMODE L_COMMENT FROM LINEITEM

The final derived table aggregates county routes . Since county FIPS codes are only unique within a state, we have to use them in combination with the associated state FIPS codes:

Because I ran dbgen.exe with a 1-GB scale factor, the LINEITEMPART table has 6,001,215 rows. Later in the chapter I will introduce a clustered index on the table, but let s work with the heap to explain query plans for the simplest scans in both SQL Server 2005 and SQL Server 2008. Following the best practices for a sliding window scenario, the table has 14 partitions holding 12 months of data with the rst and last partitions empty. A partition function with empty rst and last partitions makes it ef cient to remove the oldest partition and introduce a new one.

The main benefit of this plan is that there are no lookups involved. As the selectivity of the query goes lower, this plan becomes more and more efficient compared to a plan that does apply lookups. The I/O cost involved with this plan is the cost of the seek (3 in our case), plus the number of pages that hold the data rows in the filtered range (26 in our case). The main cost of such a plan is typically, for the most part, the cost of the ordered partial scan, unless the range is really tiny (for example, a point query). Remember that the performance of an ordered index scan will, to a great extent, depend on the fragmentation level of the index. Here are the performance measures that I got for this query:

DECLARE @emptyLS GEOMETRY = geometry::Parse('LINESTRING EMPTY'); INSERT INTO Highways SELECT COL0, COL1, COL2, COL3, dbo.GeographyUnionAggregate(INTERMEDIATEAGG,0), @emptyLS FROM ( SELECT CTFIPS AS COL0, STFIPS AS COL1, SIGNT1 AS COL2, SIGNN1 AS COL3, bo.GeographyUnionAggregate(GEOG) AS INTERMEDIATEAGG FROM HIGHWAYS_TEMP WHERE (SIGNT1 = 'C') AND (GEOG IS NOT NULL) GROUP BY STFIPS, CTFIPS, SIGNT1, SIGNN1 UNION ALL SELECT CTFIPS, STFIPS, SIGNT2, SIGNN2, dbo.GeographyUnionAggregate(GEOG) FROM HIGHWAYS_TEMP WHERE (SIGNT2 = 'C') AND (GEOG IS NOT NULL) GROUP BY STFIPS, CTFIPS, SIGNT2, SIGNN2 UNION ALL

of the partition function intervals and removing one from the opposite end), keep the rst and last partitions empty.

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SELECT CTFIPS, STFIPS, SIGNT3, SIGNN3, dbo.GeographyUnionAggregate(GEOG) FROM HIGHWAYS_TEMP WHERE (SIGNT3 = 'C') AND (GEOG IS NOT NULL) GROUP BY STFIPS, CTFIPS, SIGNT3, SIGNN3 ) AS DERIVED_TABLE GROUP BY COL1, COL0, COL2, COL3 GO

Logical reads: 29 CPU time: 0 ms Elapsed time: 87 ms Estimated subtree cost: 0.022160 Before proceeding to the next step, restore the original clustered index: DROP INDEX dbo.Orders.idx_cl_oid; CREATE UNIQUE CLUSTERED INDEX idx_cl_od ON dbo.Orders(orderid);

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