A new version 4.2 of the XPLAN_ASH utility is available for download.
There were no too significant changes in this release, mainly some new sections related to I/O figures were added.
One thing to note is that some of the sections in recent releases may require a linesize larger than 700, so the script's settings have been changed to 800. If you use corresponding settings for CMD.EXE under Windows for example you might have to adjust accordingly to prevent ugly line wrapping.
Here are the notes from the change log:
- New sections "Concurrent activity I/O Summary based on ASH" and "Concurrent activity I/O Summary per Instance based on ASH" to see the I/O activity summary for concurrent activity
While creating a POC of a SQL rewrite recently I received a little surprise as I switched my query from serial execution to parallel execution and saw the optimizer’s estimated cost increase dramatically. I’ll explain why in a moment, but it made me think it might be worth setting up a very simple demonstration of the anomaly. I created a table t1 by copying view all_source – which happened to give me a table with about 100,000 rows and 1117 blocks – and then ran the query ‘select max(line) from t1;’ repeating the query with a /*+ parallel(t1 2) */ hint. From 22.214.171.124 here are the two execution plans I got:
As I write, there’s an ongoing thread on Oracle-L that started with the (paraphrased) question: “I’ve got this query that returns 7 million rows; when I change it to ‘select count(*)’ it returns in 4 seconds but when we display the full result set on screen it takes hours, and every second or two the screen pauses; how do I make it go faster.”
The general rapid response was: “You shouldn’t be running 7M rows to a screen – the time is the time for the network traffic and display.”
I've published the final part of my video tutorial and the final part of my mini series "Parallel Execution Skew" at AllThingsOracle.com concluding what I planned to publish on the topic of Parallel Execution Skew.
Anyone regularly using Parallel Execution and/or relying on Parallel Execution for important, time critical processing should know this stuff. In my experience however almost no-one does, and therefore misses possibly huge opportunities for optimizing Parallel Execution performance.
Since all this was published over a longer period of time this post therefore is a summary with pointers to the material.
If you want to get an idea what the material is about, the following video summarizes the content:
A new version 4.1 of the XPLAN_ASH utility is available for download.
This version in particular supports now the new 12c "Adaptive" plan feature - previous versions don't cope very well with those if you don't add the "ADAPTIVE" formatting option manually.
Here are the notes from the change log:
- GV$SQL_MONITOR and GV$SQL_PLAN_MONITOR can now be customized in the
settings as table names in case you want to use your own custom monitoring repository that copies data from GV$SQL_MONITOR and GV$SQL_PLAN_MONITOR in order to keep/persist monitoring data. The tables need to have at least those columns that are used by XPLAN_ASH from the original views
After having shown in the previous instalment of the series that Oracle 12c added a new feature that can deal with Parallel Execution skew (at present in a limited number of scenarios) I now demonstrate in that part how the problem can be addressed using manual query rewrites, in particular the probably not so commonly known technique of redistributing popular values using an additional re-mapping table.
This is just an addendum to the previous post demonstrating one example (out of many possible) where the join skew handling feature fails. The test case setup is the same as in the previous post.As mentioned in the AllThingsOracle.com article and in the introduction of the previous post, the feature at present only applies to a rather limited number of scenarios. To wrap things up and to give an idea what can happen with that new feature, here's a three table join that actually makes use of the feature for one join, only to suffer from the skew problem in the next join that uses the same join expression, but doesn't qualify (yet) for the skew handling feature:
Oracle 12c introduces several new features in the area of Parallel Execution. Over the next couple of weeks I attempt to publish more about them - Jonathan Lewis for example already published a note about the new "PQ Replication" feature that applies to the BROADCAST distribution of small tables.One important new feature is the automatic skew handling for parallel joins. I've already given an overview of the feature in my mini-series "Parallel Execution Skew" at "AllThingsOracle.com", so if all you want is a high-level overview I recommend reading the article there.The purpose of this note here is to provide a few more internals and details about that feature.First, just a short summary of the prerequisites of the feature to work:1.
This is the third part of the video tutorial "Analysing Parallel Execution Skew". In this part I show how to analyse a parallel SQL execution regarding Parallel Execution Skew.
If you don't have a Diagnostics / Tuning Pack license the options you have for doing that are quite limited, and the approach, as demonstrated in the tutorial, has several limitations and shortcomings.
Here is the video: