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Troubleshooting Target Status Availability Issues

If you’ve been using EM12c (or any of its precursors for that matter), you’d know that it can sometimes be problematic to troubleshoot an availability issue for targets.  You can see they might be up (hopefully!), down, pending, unreachable or showing a metric collection error, but understanding what’s causing that particular status (and indeed why it can sometimes be wrong) can be difficult at times.

Parallel Query

According to the Oracle Database VLDB and Partitioning Guide (10g version and 11g version):

A SELECT statement can be executed in parallel only if the following conditions are satisfied:


Here’s a question to which I don’t know the answer, and for which I don’t think anyone is likely to need the answer; but it might be an entertaining little puzzle for thr curious.

Assume you’re doing a full tablescan against a simple heap table of no more than 255 columns (and not using RAC, Exadata, In-memory, etc. etc. etc.), and the query is something like:

select  {columns 200 to 250}
from    t1
where   column_255 = {constant}

To test the predicate Oracle has to count its way along each row column by column to find column 255. Will it:

Parallel Execution

This is another little reference list I should have created some time ago. It covers a series of posts on interpreting parallel execution plans and understanding where the work happens.

Re-Adding a Database to the AWR Warehouse Without Losing Historical Snapshots

There may be a reason that one needs to re-add a database to the AWR Warehouse.  This is a new opportunity for me to learn and offer assistance, but I’m working off the grid to figure out a solution.  Luckily, it’s just a matter of creating a new process from pre-existing code and processes.

Whitepaper: Oracle Database 11g and 12c Consolidation and Workload Scalability with EMC XtremIO 3.0

This is a just a quick blog post to direct readers to the best Oracle-related paper detailing the value EMC XtremIO brings to Oracle Database use cases.  I’ve been looking forward to the availability of this paper for quite some time as I supported (minimally, really) the EMC Global Solutions Engineering group in this effort. They really did a great job with this testing! I highly recommend this paper for readers who are interested in:

Not Exists

This whole thing about “not exists” subqueries can run and run. In the previous episode I walked through some ideas of how the following query might perform depending on the data, the indexes, and the transformation that the optimizer might apply:

ASH Data and How Sizing an AWR Warehouse Can be Mitigated

When sizing the AWR Warehouse, one of my requirements is to have certain reports for a sampling of databases that will source the AWR Warehouse. This report provides me the right information to create the correct sizing requirements vs. any assumptions done with other choices.

Not Exists

Another question on a seemingly simple “not exists” query has appeared on OTN just a few days after my last post about the construct. There are two little differences between the actual form of the two queries that make it worth repeating the analysis.

The first query was of the form:

select from big_table
where  not exists (select exact_matching_row from small table);

while the new query is of the form: