Category Archives: 12c

Using INMEMORY with External Tables

Posted on by Posted in 12c, External tables, inmemory, oracle, SmartScan 1,575 Page views Leave a comment

Several people have asked if there is any way to use INMEMORY on External Tables because the INMEMORY syntax is not supported in Create Table and Alter Table with Organization External (actually Create Table parses it but then ignores it).

While there is no way out of having to load the data into Oracle 12.1.0.2, there is a short cut to simplify life when you have an external process recreating flat file data on a regular basis and want to query the latest incarnation against corporate data in Oracle Tablespaces. One example we’ve seen of this is where you have a map-reduce job on Hadoop that highly summarizes large amounts of ephemeral data and it is the summary data that needs to be joined against Oracle data.

Instead of truncating the Oracle table and doing a flat file load each time, we can use a Materialized View on the external table and simply issue an on-demand refresh and let the materialized view take care of the truncate and load under the covers for us.

Since INMEMORY does support Materialized Views, we can now automatically get INMEMORY query speeds on the data from an external source.

Let’s see how this works. For example here’s a loader table I use with TPC-H Scale 1 for local testing:

Continue reading→

What’s new in 12.2 CELLMEMORY Part 3

Posted on by Posted in 12.2, inmemory, oracle, SmartScan 1,596 Page views 1 Comment

The Cellmemory Stats in RDBMS 

The RDBMS stats for Cellmemory are designed to closely follow the pattern used by the Inmemory stats 

Query Stats 

 Each column in each one MB of disk blocks will be rewritten into one IMC format Column CU in flash and a set of Column CUs comprise an overall Compression Unit so these stats reflect the number of 1 MB rewrites that were processed (not the number of column CUs).

  1. “cellmemory IM scan CUs processed for query”
    – #1 MB chuncks scanned in MEMCOMPRESS FOR QUERY format
  2. “cellmemory IM scan CUs processed for capacity”
    – #1 MB chuncks scanned in MEMCOMPRESS FOR CAPACITY format
  3. “cellmemory IM scan CUs processed no memcompress”
    – #1 MB chuncks scanned in NO CELLMEMORY format (12.1.0.2 format)

Load Stats

  1. “cellmemory IM load CUs for query”
    – #1 MB chunks successfully rewritten from 12.1.0.2 to MEMCOMPRESS FOR QUERY format  
  2. “cellmemory IM load CUs for capacity”
    – #1 MB chunks successfully rewritten from 12.1.0.2 to MEMCOMPRESS FOR CAPACITY format
  3. “cellmemory IM load CUs no memcompress”
    – #1 MB chunks successfully rewritten into 12.1.0.2 format

Before a rewrite happens a routine is called that looks through the blocks in the 1 MB chunk and determines if it is eligible for write. Reasons it may not be include transactional metadata from the commit cache, the presence of blocks formats that can’t be rewitten (although this list is getting smaller with each rpm), and the amount of space the rewrite will take up.

A rewrite into 12.1.0.2 format must fit in the original 1 MB of flash cache. An IMC format rewrite is not permitted to exceed 8 MB. This limit is highly unlikely to be reached by MEMCOMPRESS FOR CAPACITY but could be reached when trying to rewrite HCC blocks with much greater than 8X original compression capacity into MEMCOMPRESS FOR QUERY format. This is one reason that the default is FOR CAPACITY.

  1. “cellmemory IM scan CUs rejected for query”
    – #1 MB chunks that could not be rewritten into MEMCOMPRESS FOR QUERY for whatever reason
  2. “cellmemory IM scan CUs rejected for capacity
    – #1 MB chunks that could not be rewritten into MEMCOMPRESS FOR CAPACITY for whatever reason
  3. “cellmemory IM scan CUs rejected no memcompress”
    – #1 MB chunks that could not even be rewritten into 12.1.0.2 format for whatever reason

What’s new in 12.2 CELLMEMORY Part 2

Posted on by Posted in inmemory, oracle, SmartScan 1,628 Page views 1 Comment

Question: do I need to know anything in this blog post?

Answer: No, it is a true cache and CELLMEMORY works automatically

Question: so why should I read this blog post?

Answer:  because you like to keep a toolkit of useful ways to control the system when needed

The DDL

The Exadata engineering team has done a lot of work to make the flash cache automatically handle a variety of very different workloads happening simultaneously which is why we now typically discourage users from specifying:

SQL> Alter Table T storage (cell_flash_cache keep);

and trust the AUTOKEEP pool to recognize table scans that would most benefit from caching and to cache them in a thrash resistant way. Our Best Practice for CELLMEMORY is typically not to use the DDL. That said, there will be cases when the DBA wishes to override the system’s default behavior and we will look at a couple of those reasons. But first here’s the DDL which is a very cut down portion of the INMEMORY syntax:

Alter Table T  [ [ NO ] CELLMEMORY [ MEMCOMPRESS FOR [ QUERY | CAPACITY ] [ LOW | HIGH ] ] ]

So let’s break this down piece by piece.

Examples

SQL> Alter Table T NO CELLMEMORY

The NO CELLMEMORY clause prevents a table being eligible for the rewrite from 12.1.0.2 format to 12.2 In-Memory format. There are a variety of reasons you may wish to do this and we’ll look at those at the end of this post. 

SQL> Alter Table T CELLMEMORY
SQL> Alter Table T CELLMEMORY MEMCOMPRESS FOR CAPACITY

These allows a table to be cached in the default 12.2 In-Memory format (you’d only ever need this to undo a NO CELLMEMORYyou done earlier or to revert a change in the compression level used). 

SQL> Alter Table T CELLMEMORY MEMCOMPRESS FOR QUERY

I mentioned above that CELLMEMORY, by default, undergoes two rounds of compression: first a round of semantic compression and secondly a round of bitwise compression using LZO is applied. This is the default to try and keep CELLMEMORY’s flash cache footprint as close as we can to HCC flash space usage but run queries much faster than HCC. But, even though LZO has a relatively low decompression cost it is not zero. There are some workloads which run faster with MEMCOMPRESS FOR QUERY but they also use typically twice as much flash space. It would not be appropriate for the system to automatically start using twice as much flash but if you wish to experiment with this, the option is there. Also compressing with LZO takes CPU time which is not needed with MEMCOMPRESS FOR QUERY.

What about [ LOW | HIGH ] ?

Currently, unlike INMEMORY,  these are throw away words  but we retained them in the grammar for future expansion and because people are used to specifying them in a MEMCOMPRESS clause. this means in effect:

  • CELLMEMORY’S MEMCOMPRESS FOR QUERY
    is roughly equivalent of INMEMORY’S MEMCOMPRESS FOR QUERY HIGH
  • CELLMEMORY’S MEMCOMPRESS FOR CAPACITY
    is roughly equivalent of INMEMORY’S MEMCOMPRESS FOR CAPACITY LOW

Why might I want to overrule the default?

There are a few reasons:

  1. Turning CELLMEMORY off may be useful if you know an HCC table will only be queried a few times and then dropped or truncated soon and it is not worth the CPU time to create the In-Memory formats
  2. Turning CELLMEMORY off may be useful if your cells are already under a lot of CPU pressure and you wish to avoid the CPU of creating the In-Memory formats
  3. Switching to MEMCOMPRESS FOR QUERY may be useful to get better query performance on some workloads (YMMV) and reduce the CPU cost of creating In-Memory formats

What about INMEMORY with CELLMEMORY?

We allow both INMEMORY and CELLMEMORY on the same table

SQL> Create Table T (c1 number) INMEMORY NO CELLMEMORY;
SQL> Create Table T (c1 number) INMEMORY CELLMEMORY MEMCOMPRESS FOR QUERY;

Why would you want both INMEMORY and CELLMEMORY?

DBIM implements a priority system where the In-Memory area is first loaded with the critical tables and then finally down to the PRIORITY LOW tables. If you have a PRIORITY LOW table that is unlikely to get loaded in memory it is fine to also specify CELLMEMORY so as to still get columnar performance.  Note: an HCC encoded INMEMORY table will still get automatic CELLMEMORY if you don’t use any DDL at all.

—
Roger

What’s new in 12.2 CELLMEMORY Part 1

Posted on by Posted in 12.2, inmemory, oracle, SmartScan 1,646 Page views 1 Comment

Many people know that in 12.1.0.2 we introduced a ground-breaking columnar cache that rewrote 1 MB chunks of HCC format blocks in the flash cache into pure columnar form in a way that allowed us to only do the I/O for the columns needed but also to recreate the original block when that
was required.

This showed up in stats as “cell physical IO bytes saved by columnar cache”.

But in 12.1.0.2 we had also introduced Database In-Memory (or DBIM) that rewrote heap blocks into pure columnar form in memory. That project introduced: 

  • new columnar formats optimized for query performance
  • a new way of compiling predicates that supported better columnar execution
  • the ability to run predicates against columns using SIMD instructions which could execute the predicate against multiple rows simultaneously

 so it made perfect sense to rework the columnar cache in 12.2 to take advantage of the new In-Memory optimizations.

Quick reminder of DBIM essentials

In 12.2, tables have to be marked manually for DBIM using the INMEMORY keyword:

SQL> Alter Table INMEMORY 

When a scan on a table tagged as INMEMORY is queried the background process is notified to start loading it into the INMEMORY area. This design was adopted so that the user’s scans are not impeded by loading. Subsequent scans that come along will check what percentage is currently loaded in memory and make a rule based decision:

For Exadata 

  • Greater than 80% populated, use In-Memory and the Buffer Cache for the rest
  • Less than 80% populated, use Smart Scan
  • The 80% cutoff between BC and DR is configurable with an undocumented underscore parameter
  • Note: if an In-Memory scan is selected even for partially populated, Smart Scan is not used

For non-Exadata

  • Greater than 80% populated, use In-Memory and the Buffer Cache for the rest
  • Less than 80% populated, use In-Memory and Direct Read for the rest
    Note: this requires that segment to be check pointed first
  • The 80% cutoff between BC and DR is configurable with an undocumented underscore parameter

 While DBIM can provides dramatic performance improvements it is limited by the amount of usable SGA on the system that can be set aside for the In-Memory area. After that performance becomes that of disk access to heap blocks from the flash cache or disk groups. What was needed was a way to increase the In-Memory area so that cooler segments could still benefit from the In-Memory formats without using valuable RAM which is often a highly constrained resource.

Cellmemory

Cellmemory works in a similar way to the 12.1.0.2 columnar cache in that 1 MB of HCC formatted blocks are cached in columnar form automatically without the DBA needing to be involved or do anything. This means columnar cache scans are cached after Smart Scan has processed the blocks rather than before as happens with ineligible scans.  The 12.1.0.2 columnar cache format simply takes all the column-1 compression units (CUs) and stores them contiguously, then all the column-2 CUs stored contiguously etc. so that each column can be read directly from the cache without reading unneeded columns. This happens during Smart Scan so that the reformated blocks are returned to the cell server along with the query results for that 1 MB chunk.

In 12.2, eligible scans continue to be cached in the 12.1.0.2 format columnar cache format after Smart Scan has processed the blocks so that columnar disk I/O is available immediately. The difference is that if and only if the In-Memory area is in use on the RDBMS node (i.e. the In-Memory feature is already in use in that database), the address of the beginning of the columnar cache entry is added to a queue so that a background process running at a lower priority can read those cache entries and invoke the DBIM loader to rewrite the cache entry into In-Memory formatted data.

Unlike the columnar cache which has multiple column-1 CUs, the IMC format creates a single column using the new formats that use semantic compression and support SIMD etc on the compressed intermediate compressed data. By default a second round of compression using LZO is then applied. When 1 MB of HCC ZLIB compressed blocks are rewritten in this way they typically take around 1.2 MB (YMMV obviously).

Coming up

Up-coming blog entries will cover:

12c: Little test of “TABLE ACCESS INMEMORY FULL” with count stopkey

Posted on by Posted in inmemory 1,982 Page views 5 Comments

The table has 9M rows:

SQL> with function f return int is
  2       begin
  3          for r in (select value from v$mystat natural join v$statname where name like 'IM scan rows') loop
  4             dbms_output.put_line(r.value);
  5             return r.value;
  6          end loop;
  7       end;
  8  select f() from t_inmemory where rownum<=1
  9  ;
 10  /

       F()
----------
         0

1 row selected.

SQL> /

       F()
----------
    491436

1 row selected.

SQL> /

       F()
----------
    982872

1 row selected.

DDL and Plan

[sourcecode language=”sql”]
create table t_inmemory inmemory
as
with gen as (select 0 id from dual connect by level<=3e3)
select 0 n from gen,gen;

SQL_ID cpgrrfv9h6m52, child number 0
————————————-
with function f return int is begin for r in (select value
from v$mystat natural join v$statname where name like ‘IM scan rows’)
loop dbms_output.put_line(r.value); return
r.value; end loop; end; select f() from t_inmemory where
rownum<=1

Plan hash value: 3697881339

———————————————————————————-
| Id | Operation | Name | Rows | Cost (%CPU)| Time |
———————————————————————————-
| 0 | SELECT STATEMENT | | | 3 (100)| |
|* 1 | COUNT STOPKEY | | | | |
| 2 | TABLE ACCESS INMEMORY FULL| T_INMEMORY | 1 | 3 (0)| 00:00:01 |
———————————————————————————-

Predicate Information (identified by operation id):
—————————————————

1 – filter(ROWNUM<=1)
[/sourcecode]

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Oracle 12c: scalar subqueries

Posted on by Posted in 12c, CBO, oracle, undocumented 2,821 Page views Leave a comment

We already know that the CBO transformation engine in 12c can unnest scalar subqueries from select-list.
So it’s not very surprising, that CBO is now able to add scalar subqueries costs to total query cost (even if “_optimizer_unnest_scalar_sq” = false):

Before 12.1

[sourcecode language=”sql” highlight=”15,17″]
SQL> explain plan for
2 select
3 (select count(*) from XT_TEST) cnt
4 from dual;

Explained.

PLAN_TABLE_OUTPUT
—————————————————————————
Plan hash value: 2843533371

—————————————————————————
| Id | Operation | Name | Rows | Cost (%CPU)| Time |
—————————————————————————
| 0 | SELECT STATEMENT | | 1 | 2 (0)| 00:00:01 |
| 1 | SORT AGGREGATE | | 1 | | |
| 2 | INDEX FAST FULL SCAN| IX_TEST_A | 90792 | 50 (0)| 00:00:01 |
| 3 | FAST DUAL | | 1 | 2 (0)| 00:00:01 |
—————————————————————————

10 rows selected.
[/sourcecode]

[collapse]

12.1

[sourcecode language=”sql” highlight=”19,21″]
SQL> alter session set "_optimizer_unnest_scalar_sq"=false;

Session altered.

SQL> explain plan for
2 select
3 (select count(*) from XT_TEST) cnt
4 from dual;

Explained.

PLAN_TABLE_OUTPUT
—————————————————————————
Plan hash value: 2843533371

—————————————————————————
| Id | Operation | Name | Rows | Cost (%CPU)| Time |
—————————————————————————
| 0 | SELECT STATEMENT | | 1 | 52 (0)| 00:00:01 |
| 1 | SORT AGGREGATE | | 1 | | |
| 2 | INDEX FAST FULL SCAN| IX_TEST_A | 90792 | 50 (0)| 00:00:01 |
| 3 | FAST DUAL | | 1 | 2 (0)| 00:00:01 |
—————————————————————————

10 rows selected.
[/sourcecode]

[collapse]

But it’s interesting that correlated subquery can reference now to a column from parent tables more
than one level above:
Before 12.1

[sourcecode language=”sql” highlight=”10,11″]
SQL> with t1 as (select/*+ materialize */ 1 a from dual)
2 ,t2 as (select/*+ materialize */ 2 b from dual)
3 ,t3 as (select/*+ materialize */ 3 c from dual)
4 select
5 (select s from (select sum(b*c) s from t2,t3 where c>t1.a and c>b)) s
6 from t1;
(select s from (select sum(b*c) s from t2,t3 where c>t1.a and c>b)) s
*
ERROR at line 5:
ORA-00904: "T1"."A": invalid identifier
[/sourcecode]

[collapse]

12.1

[sourcecode language=”sql”]
SQL> with t1 as (select/*+ materialize */ 1 a from dual)
2 ,t2 as (select/*+ materialize */ 2 b from dual)
3 ,t3 as (select/*+ materialize */ 3 c from dual)
4 select
5 (select s from (select sum(b*c) s from t2,t3 where c>t1.a and c>b)) s
6 from t1;

S
———-
6
[/sourcecode]

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SYS_OP_MAP_NONNULL is in the documentation now

Posted on by Posted in 12c, documentation, oracle, undocumented 4,312 Page views Leave a comment

Interesting, that SYS_OP_MAP_NONNULL appeared in the Oracle 12c documentation: Choosing Indexes for Materialized Views

Lazy tip: By the way, with length limitations, we can also use documented dump function:

SQL> with
  2    t(a,b) as (
  3               select *
  4               from table(ku$_vcnt(null,'FF','A'))
  5                   ,table(ku$_vcnt(null,'FF','B'))
  6              )
  7  select
  8      a,b
  9     ,case when sys_op_map_nonnull(a) = sys_op_map_nonnull(b) then '=' else '!=' end comp1
 10     ,case when dump(a,1017)          = dump(b,1017)          then '=' else '!=' end comp2
 11     ,sys_op_map_nonnull(a) s_o_m_n_a
 12     ,sys_op_map_nonnull(b) s_o_m_n_b
 13     ,dump(a,  17) dump_a
 14     ,dump(b,  17) dump_b -- it is preferably sometimes to use 1017 - for charset showing
 15  from t;

A     B     COMP1 COMP2 S_O_M_N_A  S_O_M_N_B  DUMP_A                DUMP_B
----- ----- ----- ----- ---------- ---------- --------------------- ---------------------
            =     =     FF         FF         NULL                  NULL
      FF    !=    !=    FF         464600     NULL                  Typ=1 Len=2: F,F
      B     !=    !=    FF         4200       NULL                  Typ=1 Len=1: B
FF          !=    !=    464600     FF         Typ=1 Len=2: F,F      NULL
FF    FF    =     =     464600     464600     Typ=1 Len=2: F,F      Typ=1 Len=2: F,F
FF    B     !=    !=    464600     4200       Typ=1 Len=2: F,F      Typ=1 Len=1: B
A           !=    !=    4100       FF         Typ=1 Len=1: A        NULL
A     FF    !=    !=    4100       464600     Typ=1 Len=1: A        Typ=1 Len=2: F,F
A     B     !=    !=    4100       4200       Typ=1 Len=1: A        Typ=1 Len=1: B

9 rows selected.

Little example of index creation on extended varchars

Posted on by Posted in 12c, oracle, undocumented 2,167 Page views Leave a comment 
-- it's just for fun:
SQL> alter system set "_scalar_type_lob_storage_threshold"=32000;

System altered.
SQL> create table t_varchar32000(v varchar2(32000 byte));

Table created.

SQL> insert into t_varchar32000
  2  select rpad(rownum,31999) || `x' str from dual connect by level<=1000;

1000 rows created.

SQL> commit;

Commit complete.

SQL> create index ix_t_varchar32000 on t_varchar32000(v) tablespace users;
create index ix_t_varchar32000 on t_varchar32000(v) tablespace users
                                  *
ERROR at line 1:
ORA-01450: maximum key length (6398) exceeded


SQL> create index ix_t_varchar32000 on t_varchar32000(v) tablespace ts_32k;
create index ix_t_varchar32000 on t_varchar32000(v) tablespace ts_32k
                                  *
ERROR at line 1:
ORA-01450: maximum key length (26510) exceeded

-- tablespace for big varchars:
SQL> alter system set DB_32K_CACHE_SIZE=100M;

System altered.

SQL> CREATE TABLESPACE TS_32K DATAFILE '/u01/app/oracle/oradata/xtsql/pdb1/ts_32k_1.dbf' SIZE 150M
  2   EXTENT MANAGEMENT LOCAL UNIFORM SIZE 1M
  3   BLOCKSIZE 32K;

Tablespace created.

SQL> create table t_varchar16000(v varchar2(16000 byte)) tablespace ts_32k;

Table created.

SQL> insert into t_varchar16000
  2  select rpad(rownum,15999,'x' ) || 'y' from dual connect by level<=1000;

1000 rows created.

SQL> create index ix_t_varchar16000 on t_varchar16000(v) tablespace ts_32k;

Index created.

Statistics

[sourcecode language=”sql”]
SQL> begin
2 dbms_stats.gather_table_stats(
3 ownname => user
4 ,tabname => ‘T_VARCHAR16000’
5 ,method_opt => ‘for all columns size auto’
6 ,cascade => true
7 );
8 end;
9 /

PL/SQL procedure successfully completed.

SQL> @stats/tab t_varchar16000

OWNER TABLE_NAME PARTITION_NAME # ST_LOCK STALE_STA GLOBAL_ST USER_STAT NUM_ROWS BLOCKS EMPTY_BLOCKS AVG_ROW_LEN AVG_SPACE LAST_ANALYZED
————— —————————— ——————– —- ——- ——— ——— ——— ———- ———- ———— ———– ———- —————
XTENDER T_VARCHAR16000 NO YES NO 1000 3016 0 16001 0 14-NOV-13

OWNER INDEX_NAME NUM_ROWS DISTINCT_KEYS BLEVEL LEAF_BLOCKS CL_FACTOR LAST_ANALYZED GLOBAL_ST USER_STAT
————— —————————— ———- ————- ———- ———– ———- ————— ——— ———
XTENDER IX_T_VARCHAR16000 1000 1000 1 1000 1000 14-NOV-13 YES NO

———————————————————————————————————————————————————————————————
| column_name | num_distinct| low_value | high_value | num_nulls | num_bucket| last_analyzed | sample_size| globa| user_| avg_c| histogram |
———————————————————————————————————————————————————————————————
| V | 1000 | 1000xxxxxxxxxxxxxx| 9xxxxxxxxxxxxxxxxx| 0 | 1 | 2013-11-14 21:11 | 1000 | YES | NO | 16001| NONE |
———————————————————————————————————————————————————————————————

[/sourcecode]

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Patch for “Bug 16516751 : Suboptimal execution plan for query with join and in-list using composite index” is available now

Posted on by Posted in 12c, bug, CBO, oracle, query optimizing 2,591 Page views 2 Comments

Bug about which i wrote previously is fixed now in 12.2, and patch 16516751 is available now for 11.2.0.3 Solaris64.
Changes:
1. CBO can consider filters in such cases now
2. Hint NUM_INDEX_KEYS fixed and works fine

UPD: Very interesting solution by Igor Usoltsev(in russian):
Ignored hint USE_CONCAT(OR_PREDICATES(N)) allows to avoid inlist iterator.
Example:

select--+ USE_CONCAT(OR_PREDICATES(32767))
 * from xt1,xt2
where
     xt1.b=10
 and xt1.a=xt2.a
 and xt2.b in (1,2)
/

Plan hash value: 2884586137          -- good plan:
 
----------------------------------------------------------------------------------------
| Id  | Operation                     | Name   | Rows  | Bytes | Cost (%CPU)| Time     |
----------------------------------------------------------------------------------------
|   0 | SELECT STATEMENT              |        |       |       |   401 (100)|          |
|   1 |  NESTED LOOPS                 |        |       |       |            |          |
|   2 |   NESTED LOOPS                |        |   100 | 36900 |   401   (0)| 00:00:01 |
|   3 |    TABLE ACCESS BY INDEX ROWID| XT1    |   100 | 31000 |   101   (0)| 00:00:01 |
|*  4 |     INDEX RANGE SCAN          | IX_XT1 |   100 |       |     1   (0)| 00:00:01 |
|*  5 |    INDEX RANGE SCAN           | IX_XT2 |     1 |       |     2   (0)| 00:00:01 |
|   6 |   TABLE ACCESS BY INDEX ROWID | XT2    |     1 |    59 |     3   (0)| 00:00:01 |
----------------------------------------------------------------------------------------
 
Predicate Information (identified by operation id):
---------------------------------------------------
 
   4 - access("XT1"."B"=10)
   5 - access("XT1"."A"="XT2"."A")
       filter(("XT2"."B"=1 OR "XT2"."B"=2))

From 10053 trace on nonpatched 11.2.0.3:
inlist_concat_diff_10053