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. NET UPC-A Reader & Scanner for C#, VB.NET, ASP.NET
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You will have noticed the strange filter predicate on line 2 of the last execution plan. If you try running this test in 8i and 9i, you will see the important difference that that predicate makes. Supply the bind variables as :v1 = 300 and :v2 = 250 (in other words, the wrong way around) for 8i, and if both predicates come from the same partition, Oracle will scan that partition despite the fact that there will obviously be no data found. Repeat the test on 9i, and the extra predicate will automatically be false, and Oracle will not run the next line of the execution plan. Returning to the issue of statistics, the problem of partition statistics and table-level statistics is a difficult one. The commonest use of partitioned tables involves a process that Oracle Corp. now calls Partition Exchange Loading (or rolling partition maintenance) where you load an empty table, index it and collect statistics on it, and then do a partition exchange using SQL like the following:

.net upc-a reader

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The next section of the output is a simple restatement of the basic statistics on the tables involved, and the indexes that might be of use These figures are simply echoing the figures from user_tables, user_tab_col_statistics, and user_indexes (or the partition equivalents) If you are using partitioning, you will see comments here about (using composite stats) or, for a known single partition, a label identifying the partition by number, eg, PARTITION [0] These comments appear only at the table and index level, not at the column level The columns reported are only those that could be used for filtering and access at this point earlier versions of Oracle will report them in different locations in the trace There is a little oddity about histograms: I did not create any histograms for this query, nevertheless Oracle reports 1 uncompressed buckets.

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Universal Product Code - Wikipedia
The Universal Product Code ( UPC ) (redundantly: UPC code) is a barcode symbology that is .... read UPC -like labels with his ring wand. In addition to reading regular labels, he read the large two-page centerfold label in the proposal booklet.

We will briefly review the concepts here for completeness When you use the % syntax, you are saying you are expecting a vector-valued result That is, if three items are included, you want each to be processed separately So, if there is another item in the MDForm include list, then you will see the name printed one time for each include With the @ and -> syntax, you are requesting the result in a single string In this scenario, the MDFormOther technique is the correct approach The difference between vector and scalar values can be confusing; if you need more information, see the next section..

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.net upc-a reader

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.net upc-a reader

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This is just a way of saying that I have nothing but the low/high (or as they now appear in the 10g trace Min:/Max:) values for this column In the absence of histograms, you will note that the NDV (number of distinct values) for each column = 1/Density It is an interesting little detail that the tables appear to be listed in the reverse order that they appear in the from clause *************************************** BASE STATISTICAL INFORMATION *********************** Table stats Table: CHILD Alias: C TOTAL :: CDN: 40000 NBLKS: 10000 AVG_ROW_LEN: 1632 COLUMN: ID_P(NUMBER) Col#: 3 Table: CHILD Alias: C Size: 4 NDV: 10000 Nulls: 0 Density: 10000e-004 Min: 1 Max: 10000 No Histogram: #BKT: 1 (1 uncompressed buckets and 2 endpoint values) COLUMN: ID_GP(NUMBER) Col#: 2 Table: CHILD Alias: C Size: 4 NDV: 2000 Nulls: 0 Density: 5.

0000e-004 Min: 1 Max: 2000 No Histogram: #BKT: 1 (1 uncompressed buckets and 2 endpoint values) COLUMN: ID_GGP(NUMBER) Col#: 1 Table: CHILD Alias: C Size: 4 NDV: 1000 Nulls: 0 Density: 10000e-003 Min: 1 Max: 1000 No Histogram: #BKT: 1 (1 uncompressed buckets and 2 endpoint values) Index stats Index: C_PK COL#: 1 2 3 4 TOTAL :: LVLS: 1 #LB: 108 #DK: 40000 LB/K: 1 DB/K: 1 CLUF: 40000 *********************** Table stats Table: PARENT Alias: P TOTAL :: CDN: 10000 NBLKS: 2500 AVG_ROW_LEN: 1627 COLUMN: ID_GP(NUMBER) Col#: 2 Table: PARENT Alias: P Size: 4 NDV: 2000 Nulls: 0 Density: 50000e-004 Min: 1 Max: 2000 No Histogram: #BKT: 1 (1 uncompressed buckets and 2 endpoint values).

To define your own protocol, you might use the following:

COLUMN: ID_GGP(NUMBER) Col#: 1 Table: PARENT Alias: P Size: 4 NDV: 1000 Nulls: 0 Density: 10000e-003 Min: 1 Max: 1000 No Histogram: #BKT: 1 (1 uncompressed buckets and 2 endpoint values) COLUMN: ID(NUMBER) Col#: 3 Table: PARENT Alias: P Size: 4 NDV: 10000 Nulls: 0 Density: 10000e-004 Min: 1 Max: 10000 No Histogram: #BKT: 1 (1 uncompressed buckets and 2 endpoint values) COLUMN: ID_GP(NUMBER) Col#: 2 Table: PARENT Alias: P Size: 4 NDV: 2000 Nulls: 0 Density: 50000e-004 Min: 1 Max: 2000 No Histogram: #BKT: 1 (1 uncompressed buckets and 2 endpoint values) COLUMN: ID_GGP(NUMBER) Col#: 1 Table: PARENT Alias: P Size: 4 NDV: 1000 Nulls: 0 Density: 1.

Understanding the Difference Between @ and %

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