Tag Archives: Roger MacNicol

Triaging Smart Scan

Posted on by Posted in adaptive serial direct path reads, cell_offload, oracle, SmartScan, trace 2,700 Page views Leave a comment

This document is my attempt to bring together the available options that can be used to determine the root cause of an issue in order to create a roadmap to help support engineers narrow down the cause of concern.

It is a living document and will be edited and amended as time goes by. Please do check back again in the future.

Warning: these parameters should only be used in conjunction with an Oracle Support Engineer and are not intended for DBAs to self-triage; also they should not be left set after triage without discussion with an Oracle Support Engineer.

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Serial Scans failing to offload

Posted on by Posted in adaptive serial direct path reads, cell_offload, oracle, SmartScan 1,847 Page views 1 Comment

Very Large Buffer Cache

We’ve observed databases with very large buffer caches where Serial Scans don’t make use of Smart Scan when that would have executed faster: improvements to the decision making for Serial Scans have been made under bug  31626438. This fix is back-portable.

A key difference between PQ and Serial is that as part of granule generation PQ sums the sizes of all the partitions that have not been pruned and passes that total size to the buffer cache decision making logic. Because the entire size to be scanned is considered, we make an accurate determination of smart scan benefits and the risk of cache thrashing.

Serial Scans on partitioned tables do not involved the coordinator and have no opportunity to get the larger picture, instead they start work immediately so each partition is considered one at a time and only that one partition’s size is considered by the decision for using Buffer Cache or Direct Read (and hence offload). In the presence of very large buffer caches any given partition can fail the “Is Medium” test (or even the “Is Small” test) and so not get offloaded.

In order to avoid this situation an upper bound of 100MB for using a buffer cache scan has been implemented for any serially scanned segment that:

  • isn’t using Automatic Big Table Caching (ABTC).
  • hasn’t had the Small Table parameter changed to a non-default value.

Any partitions larger than 100 MB will now automatically use Direct Read and hence offload on Exadata.

See also: Part 1

See also: Part 2

NSMTIO: kxfxghwm:[HWM_NOT_FOUND]

Another case to watch out for is when NSMTIO tracing shows HWM_NOT_FOUND and then choosing a Buffer Cache scan when a Direct Read offloaded scan would have been faster. This can happen when a PQ query gets executed serially (NB: this is NOT the downgrade to serial case, this is still PQ but on a single thread). In this case the coordinator again does not have the opportunity to process all the partitions and as part of that gather the High Water Mark (HWM) for each segment and checkpoint them so we fall back on buffer cache scans. A fix for this is currently being investigated.

Mixed Block Sizes

I have consistently advised against mixing block sizes in a database without a compelling reason backed up by empirical evidence, but for those who must the “Is Medium Table” logic for whether to use buffer cache or direct read has been improved when the database has more than one block size in use. This is tracked by bug 24655250 and fixed in 20.1.

See also  Random thoughts on block sizes

Smart Scan and Recursive queries

Posted on by Posted in adaptive serial direct path reads, CBO, hints, oracle, parallel, SmartScan, trace, troubleshooting 1,668 Page views Leave a comment

Since Christmas I have been asked to investigate two different “failures to use Smart Scan”. It turns out they both fell into the same little known restriction on the use of Direct Read. Smart Scan critically depends on Direct Read in order to read the synthetic output blocks into private buffers in PGA so with Direct Read disabled Smart Scan is also disabled. In these two cases the restriction is on using Direct Read on Serial Recursive queries.

Case 1: Materialized View Refresh

A customer asked me to investigate why his MView refresh was running slowly and was failing to use Smart Scan. He had used 'trace[NSMTIO] disk=highest' which showed the cause as:

Direct Read for serial qry: disabled(::recursive_call::kctfsage:::)
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DMLs and the Columnar Cache on ADW

Posted on by Posted in 12.2, inmemory, oracle 1,956 Page views Leave a comment

One of the main performance technologies underlying ADW is the In-Memory format column cache and a question that has come up several times is: how does the columnar cache handle DMLs and cache invalidations. This blog post attempts to answer that question.

The Two Columnar Cache Formats

The original columnar cache was an idempotent rearrangement of Hybrid Columnar Compressed blocks into pure columnar form still in the original HCC encoding. This is known internally as “CC1” and was not applicable to row format blocks. Because this is an idempotent transformation we are able to reconstitute the original raw blocks from a CC1 cache if needed.

We then introduced the In-Memory format columnar cache where, if you had an In-Memory licence, we would run the 1 MB chunks processed by Smart Scan through the In-Memory loader and write new clean columns encoded in In-Memory formats which meant that we could then use the new SIMD based predicate evaluation and other performance improvements developed for Database In-Memory. If you do not have an In-Memory licence, the original CC1 column cache is used. Another advantage of the CC2 format is that we can load row format blocks as well as HCC format blocks into pure columnar In-Memory format.  

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Thoughts on Big Data SQL SmartScan

Posted on by Posted in cell_offload, External tables, oracle, SmartScan 1,643 Page views Leave a comment

Just a few thoughts I’ve been meaning to blog for a while:

1. Number of columns that can be offloaded

Exadata

Very early on in the Exadata Smart Scan implementation a restriction was added to prevent offloading more than 255 columns. This was done because of performance issues observed by customers. Smart Scan works on 1 MB chunks at a time and needs all the row pieces up to the highest #segcol referenced to be present in the 1 MB chunk that is being processed. When rows with more than 255 columns are first inserted all the row pieces are contiguous and hence likely to be present in the 1 MB chunk.

However, if the DBA has not provided sufficient freespace (PCTFREE) in the block when it is first loaded subsequent DMLs may end up splitting row pieces and moving pieces to blocks in the freelist that have more space available. PCTFREE specifies how much empty space to leave for future updates when a block is first populated.

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Correct syntax for the table_stats hint

Posted on by Posted in adaptive serial direct path reads, CBO, hints, oracle, SmartScan, trace, troubleshooting, undocumented 2,445 Page views 3 Comments

A friend contacted me to ask why they were having problems using the table_stats hint to influence optimizer decision making and also to influence the decision to use direct read or buffer cache scan so this is just a quick blog post to clarify the syntax as it is not well documented.

table_stats(<table_name> <method> {<keyword>=<value>} )

Method is one of: DEFAULT, SET, SCALE, SAMPLE

Keyword is one of: BLOCKS, ROWS, ROW_LENGTH
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Compression in a well-balanced system

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Exadata is designed to present a well-balanced system between disk scan rates, cell CPU processing rates, network bandwidth, and RDBMS CPU such that on average across a lot of workloads and a lot of applications there should not be no one obvious bottleneck. Good performance engineering means avoiding a design like this:

because that would be nuts. If you change one component in a car e.g. the engine you need to rework the other components such as the chassis and the brakes. When we rev the Exadata hardware we go through the same exercise to make sure the components match to avoid bottlenecks. 

One of the components in a well-balanced system that people often leave off this list is compression algorithm. With compression you are balancing storage costs as well as the disk scan rates against the CPU’s decompression rate. In a disk bound system you can alleviate the bottleneck by compressing the data down to the point that it is being scanned at the same rate that the CPUs can decompress and process it. Squeeze it too far, say with HCC “Compress For Archive High” which uses BZ2, the CPUs become a major bottleneck because the decompression costs unbalance the system (but it’s wonderful if you think you’re unlikely to ever need the data again).

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Create Quarantine

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First if you want don’t know what an Exadata Quarantine is read this.

Someone asked whether you can create your own Exadata Cell quarantine and, if you can, why you might ever want to do it? 

The first step when you don’t know how to do something is try HELP in cellcli

CellCLI> HELP
...
ALTER QUARANTINE
...
CREATE QUARANTINE
...
DROP QUARANTINE
...
LIST QUARANTINE

So we see we can create a quarantine, so we use HELP again:

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Shining some light on Database In-Memory vs the Exadata Columnar Cache in 12.1.0.2

Posted on by Posted in cell_offload, inmemory, oracle, SmartScan, trace 1,556 Page views Leave a comment

I posted a while back on how to use Tracing Hybrid Columnar Compression in an offload server so this is a quick follow up.

  1. I have trouble remembering the syntax for setting a regular parameter in an offload server without bouncing it. Since I need to keep this written down somewhere I thought it might be use to support folks and dbas.
  2. I forgot to show you how to specify which offload group to set the trace event

So this example should do both: 

CellCLI > alter cell offloadGroupEvents = "immediate cellsrv.cellsrv_setparam('my_parameter, 'TRUE')", offloadGroupName = "SYS_122110_160621"

this will, of course, set a parameter temporarily until the next time the offload server is bounced, but also adding it to the offload group’s init.ora will take care of that.

Create External Table as Select

Posted on by Posted in curious, oracle, SmartScan 2,014 Page views Leave a comment

I was looking through a test script and saw something I didn’t know you could do in Oracle. I mentioned it to an Oracle ACE and he didn’t know it either. I then said to the External Table engineers “Oh I see you’ve added this cool new feature” and he replied dryly – “Yes, we added it in Oracle 10.1”. Ouch! So just in case you also didn’t know, you can create an External Table using a CTAS and the ORACLE_DATAPUMP driver.

This feature only work with the ORACLE_DATAPUMP access driver (it does NOT work with with the LOADER, HIVE, or HDFS drivers) and we can use it like this:

SQL> create table cet_test organization external
  2  (
  3    type ORACLE_DATAPUMP
  4    default directory T_WORK
  5    location ('xt_test01.dmp','xt_test02.dmp')
  6  ) parallel 2
  7  as select * from lineitem
 
Table created.

Checking the results shows us

-rw-rw---- ... 786554880 Mar 9 10:48 xt_test01.dmp 
-rw-rw---- ... 760041472 Mar 9 10:48 xt_test02.dmp

This can be a great way of creating a (redacted) sample of data to give to a developer to test or for a bug repro to give to support or to move between systems.