winforms pdf preview

winforms pdf preview

winforms pdf preview

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Misses in library cache during parse: 0 Notice how the statement was parsed only once. The rest of the time the prepared statement was obtained from the implicit cache, avoiding the soft parse. Also, implicit caching reduced the elapsed time by almost half (0.42 seconds versus 0.82 seconds). The tkprof output for the CallableStatement case follows. It proves that the anonymous block gets soft-parsed only once due to implicit statement caching. begin/*+ enabled implicit caching for callable statement */ :1 := f; end; call count ------- -----Parse 1 Execute 1000 Fetch 0 ------- -----total 1001 cpu elapsed disk query current -------- ---------- ---------- ---------- ---------0.01 0.00 0 0 0 2.13 2.06 0 0 0 0.00 0.00 0 0 0 -------- ---------- ---------- ---------- ---------2.14 2.06 0 0 0 rows ---------0 1000 0 ---------1000

The host would receive one request at a time and return one response at a time Everything happens in strict sequential order If the connection is persistent, a client that needs to send multiple requests can use the connection more efficiently by sending all the requests in a row, one after the other, without waiting for any responses The server might then process the requests in parallel, using separate threads, and greatly reduce the overall response time The problem with HTTP 11 pipelined requests is that the protocol specifies that responses must be returned in the same order as the requests received Using this approach is not as efficient as it could be Ideally, a client should be able to submit a group of requests and have the server process them in parallel.

Misses in library cache during parse: 1

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The server should return responses as soon as they are available, without having to worry about their order in relationship to the requests But how would the client know how to match up requests with responses HTTP doesn t define a standard way to do this, but there is a simple solution HTTP uses header fields to convey information about requests and responses The HTTP specification defines several standard header fields, but also allows you to define nonstandard header fields HTTP proxy servers are required to forward all headers in a request and response even the nonstandard ones ensuring that they will travel correctly through the WWW infrastructure from client to server and back To solve the request-response matching problem, all you need to do is add a custom header field that contains a sequence number Both requests and responses use this header.

For example, if Category and SalesMgr are both in the Row labels area, there s no custom calculation that shows what percent of Bar sales were by Parent. With that layout, if you use the % of Column custom calculation, it shows the percent of the grand total for each sales manager for each product. Change the layout so Category is in the Columns area, as shown in the table at the right in Figure 3-18, and apply a % of Column custom calculation, to see the percent sold by each manager in each category.

Explicit statement caching enables you to cache selected prepared, callable, and plain statements. Explicit statement caching caches a statement with a key, an arbitrary Java string that you provide. The biggest difference between explicit and implicit caching is that with explicit caching, you have to use specialized Oracle methods that end with WithKey to cache and retrieve statements. This also implies that you have to use the interfaces OraclePreparedStatement and OracleCallableStatement, respectively, to use explicit statement caching. In the case of implicit caching, the JDBC driver automatically creates a statement if it is not there in the cache. In the case of explicit caching, the JDBC driver returns null for the statement; you have to check for null and explicitly create a statement using the createStatement() method, as we ll cover

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