Tax Reporting Cloud is included in the bundle. We can easily add value to the use of the licenses. Tax Close is key to the Financial Close and Tax Reporting Cloud is a powerful solution that can deliver efficiencies quickly.
Back to Oracle home. We are here to help. Please contact us to discuss your organization's needs or request response to your RFP. Burleson Consulting has fixed many systems after they wasted large sums of money on self-proclaimed "Oracle Scientists" who made ludicrous recommendations. In Oracle, most of the? I tell my performance tuning clients that it's malfeasance for ANYONE who claims Oracle expert status not to present clients with all of their tuning options, especially when they might cut-down on their consulting fees by failing to offer a fast, risk free remedy like faster hardware.
When you consider development time, testing time and re-certification of a production application, it's easy to understand why managers are averse to costly root cause fixes. It's a myth that throwing hardware at the problem doesn't work. I've seen hardware thrown at the problem, with good results. It wasn't SSD, it was EMC cache, pumped up to an incredible proportion, but the intention was the same and the result was, generally speaking, satisfactory.
I go into great detail on the application of hardware-based tuning solutions in my book " Oracle Tuning: The Definitive Reference ", by Rampant TechPress, and I include scripts for detecting global tuning approaches that can avoid a hardware-based performance solution.
Global optimization is often the best remedy for poor Oracle performance and h ardware upgrades can be avoided by 'silver bullet? When does it makes sense to throw hardware at an Oracle performance problem?
Throwing hardware makes great sense for the following types of Oracle performance problems, even though it does address the root cause of the performance issue:. This allows you to identify bottlenecks, determine whether a change is causing a slowdown in response, and pinpoint the most critical root causes. The software includes graphs showing you which SQL statements are performing poorly, application wait times, and wait types or events that could be behind a performance bottleneck.
The graphs are interactive: you can click down through them to go into more detail on problems. Tuning advisors highlight issues in need of immediate focus and provide you with easy-to-view historical data, for comparison with current metrics. The advisors provide actionable advice, and the anomaly detection features can help you quickly spot inefficient SQL statements. Applying the advice to adjust your queries results in a much faster process, facilitating streamlined troubleshooting of query inefficiencies that can make your database run slowly.
This allows you to combine a range of solutions, including the flagship SolarWinds Network Performance Monitor, to keep your database and networks performing efficiently while minimizing impact on your end users.
Once you have optimized your SQL queries, your Oracle database will be able to function faster. Furthermore, avoid all large table scans at all costs, as the more you scan, the more slowly your database will respond and perform. Using the right tool can make the process smoother and easier. DPA helps you identify which SQL statements you should focus on, and which are causing you the most problems. This helps you troubleshoot quickly and efficiently, clearing issues before they affect your application and service performance for end users.
This is the default query behavior for local indexes created in parallel. In general, parallel queries are good for DSS or analytical systems with large data collection, multiple CPUs, and low number of concurrent users. However, for heavily loaded systems with high number of concurrent users, parallel query can result in degrading your overall query throughput.
In addition, typical top N text queries with order by partition key column, such as. Issuing a query with more than one predicate can cause a blocking operation in the execution plan. For example, consider the following mixed query:. Assume that all predicates are unselective and colA, colB, and colC have bitmap indexes.
The Oracle Database cost-based optimizer chooses the following execution plan:. Oracle Text attempts to save these rowid and score pairs in memory. These two are related, but are not the same. In a heavily loaded system, you normally want maximum throughput, whereas in a relatively lightly loaded system, you probably want minimum response time. Also, some applications require a query to deliver all its hits to the user, whereas others might only require the first 20 hits from an ordered set.
It is important to distinguish between these two scenarios. Answer: Yes. Collecting statistics on your tables enables Oracle Text to do cost-based analysis. This helps Oracle Text choose the most efficient execution plan for your queries. Text query speed will be related to the number of rows that must be fetched from the index table, number of hits requested, number of hits produced by the query, and the presence or absence of sorting.
The documents are filtered to plain text at indexing time, not query time. The cleanliness of the data will make a difference. Spell-checked and sub-edited text for publication tends to have a much smaller total vocabulary and therefore size of the index table than informal text such as emails, which will contain many spelling errors and abbreviations.
For a given index memory setting, the extra text takes up more memory, which can lead to more fragmented rows than in the cleaner text, which can adversely affect query response time. Answer: There are two ways the kernel can query the text index. In the first and most common case, the kernel asks the text index for all the rowids that satisfy a particular text search.
These rowids are returned in batches. In the second, the kernel passes individual rowids to the text index, and asks whether that particular rowid satisfies a certain text criterion. The second is known as a functional lookup, and is most commonly done where there is a very selective structured clause, so that only a few rowids must be checked against the text index.
An example of a search where a functional lookup may be used:. Functional invocation is also used for text query ordered by structured column for example date, price and text query is unselective. Answer: All queries look at the index token table. If there is no sorting, then Oracle Text can return results as it finds them, which is quicker in the common case where the application needs to display only a page of results at a time.
In this case, Oracle Text performs a high speed internal sort when fetching from the text index tables. Answer: For querying, you want to strive for a large system global area SGA. You can also set these parameters dynamically.
You should increase the size of this parameter if you frequently order by structured columns. Since Oracle Text fetches columns to memory, it is more efficient to store wide base table columns such as LOBs out of line, especially when these columns are rarely updated but frequently selected.
Out of line storage reduces the effective size of the base table making it easier for Oracle Text to cache the entire table to memory. This reduces the cost of selecting columns from the base table, and hence speeds up text queries. In addition, having smaller base tables cached in memory enables more index table data to be cached during querying, which improves performance.
This will be a much faster query. In order to use a query like this, we must copy all the data into a single text column for indexing, with section tags around each column's data.
Answer: Each distinct word used in a query will require at least one row to be fetched from the index table. It is therefore best to keep the number of expansions down as much as possible.
0コメント