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Those pesky LONG columns

There was a time, many moons ago Smile when CLOB, BLOB and BFILE did not exist as data types. So if you had anything longer than a few kilobytes of data to store, you had to use a LONG or a LONG RAW.  But those data types came with all sorts of restrictions and frustrations, and we all embraced the improvements that the LOB data types brought in Oracle 8.  But of course, we carry a lot of that historical “baggage” in the data dictionary.


SQL> select owner, table_name, column_name
  2  from   dba_tab_cols
  3  where  data_type = 'LONG'
  4  and    substr(table_name,1,4) in ('DBA_','ALL_','USER')
  5  order by 1,2, 3;

OWNER                          TABLE_NAME                     COLUMN_NAME
------------------------------ ------------------------------ -------------------------
SYS                            ALL_ARGUMENTS                  DEFAULT_VALUE
SYS                            ALL_CLUSTER_HASH_EXPRESSIONS   HASH_EXPRESSION
SYS                            ALL_CONSTRAINTS                SEARCH_CONDITION
SYS                            ALL_IND_EXPRESSIONS            COLUMN_EXPRESSION
SYS                            ALL_IND_PARTITIONS             HIGH_VALUE
SYS                            ALL_IND_SUBPARTITIONS          HIGH_VALUE
SYS                            ALL_MVIEWS                     QUERY
SYS                            ALL_MVIEW_AGGREGATES           MEASURE
SYS                            ALL_MVIEW_ANALYSIS             QUERY
SYS                            ALL_NESTED_TABLE_COLS          DATA_DEFAULT
SYS                            ALL_REGISTERED_MVIEWS          QUERY_TXT
SYS                            ALL_REGISTERED_SNAPSHOTS       QUERY_TXT
SYS                            ALL_SNAPSHOTS                  QUERY
SYS                            ALL_SQLSET_PLANS               OTHER
SYS                            ALL_SUBPARTITION_TEMPLATES     HIGH_BOUND
SYS                            ALL_SUMMARIES                  QUERY
SYS                            ALL_SUMMARY_AGGREGATES         MEASURE
SYS                            ALL_TAB_COLS                   DATA_DEFAULT
SYS                            ALL_TAB_COLS_V$                DATA_DEFAULT
SYS                            ALL_TAB_COLUMNS                DATA_DEFAULT
SYS                            ALL_TAB_PARTITIONS             HIGH_VALUE
SYS                            ALL_TAB_SUBPARTITIONS          HIGH_VALUE
SYS                            ALL_TRIGGERS                   TRIGGER_BODY
SYS                            ALL_VIEWS                      TEXT
SYS                            ALL_VIEWS_AE                   TEXT
SYS                            ALL_ZONEMAPS                   QUERY
SYS                            ALL_ZONEMAP_MEASURES           MEASURE
SYS                            DBA_ADVISOR_SQLPLANS           OTHER
SYS                            DBA_ARGUMENTS                  DEFAULT_VALUE
SYS                            DBA_CLUSTER_HASH_EXPRESSIONS   HASH_EXPRESSION
SYS                            DBA_CONSTRAINTS                SEARCH_CONDITION
SYS                            DBA_IM_EXPRESSIONS             SQL_EXPRESSION
SYS                            DBA_IND_EXPRESSIONS            COLUMN_EXPRESSION
SYS                            DBA_IND_PARTITIONS             HIGH_VALUE
SYS                            DBA_IND_SUBPARTITIONS          HIGH_VALUE
SYS                            DBA_MVIEWS                     QUERY
SYS                            DBA_MVIEW_AGGREGATES           MEASURE
SYS                            DBA_MVIEW_ANALYSIS             QUERY
SYS                            DBA_NESTED_TABLE_COLS          DATA_DEFAULT
SYS                            DBA_OUTLINES                   SQL_TEXT
SYS                            DBA_REGISTERED_MVIEWS          QUERY_TXT
SYS                            DBA_REGISTERED_SNAPSHOTS       QUERY_TXT
SYS                            DBA_SNAPSHOTS                  QUERY
SYS                            DBA_SQLSET_PLANS               OTHER
SYS                            DBA_SQLTUNE_PLANS              OTHER
SYS                            DBA_SUBPARTITION_TEMPLATES     HIGH_BOUND
SYS                            DBA_SUMMARIES                  QUERY
SYS                            DBA_SUMMARY_AGGREGATES         MEASURE
SYS                            DBA_TAB_COLS                   DATA_DEFAULT
SYS                            DBA_TAB_COLS_V$                DATA_DEFAULT
SYS                            DBA_TAB_COLUMNS                DATA_DEFAULT
SYS                            DBA_TAB_PARTITIONS             HIGH_VALUE
SYS                            DBA_TAB_SUBPARTITIONS          HIGH_VALUE
SYS                            DBA_TRIGGERS                   TRIGGER_BODY
SYS                            DBA_VIEWS                      TEXT
SYS                            DBA_VIEWS_AE                   TEXT
SYS                            DBA_ZONEMAPS                   QUERY
SYS                            DBA_ZONEMAP_MEASURES           MEASURE
SYS                            USER_ADVISOR_SQLPLANS          OTHER
SYS                            USER_ARGUMENTS                 DEFAULT_VALUE
SYS                            USER_CLUSTER_HASH_EXPRESSIONS  HASH_EXPRESSION
SYS                            USER_CONSTRAINTS               SEARCH_CONDITION
SYS                            USER_IM_EXPRESSIONS            SQL_EXPRESSION
SYS                            USER_IND_EXPRESSIONS           COLUMN_EXPRESSION
SYS                            USER_IND_PARTITIONS            HIGH_VALUE
SYS                            USER_IND_SUBPARTITIONS         HIGH_VALUE
SYS                            USER_MVIEWS                    QUERY
SYS                            USER_MVIEW_AGGREGATES          MEASURE
SYS                            USER_MVIEW_ANALYSIS            QUERY
SYS                            USER_NESTED_TABLE_COLS         DATA_DEFAULT
SYS                            USER_OUTLINES                  SQL_TEXT
SYS                            USER_REGISTERED_MVIEWS         QUERY_TXT
SYS                            USER_REGISTERED_SNAPSHOTS      QUERY_TXT
SYS                            USER_SNAPSHOTS                 QUERY
SYS                            USER_SQLSET_PLANS              OTHER
SYS                            USER_SQLTUNE_PLANS             OTHER
SYS                            USER_SUBPARTITION_TEMPLATES    HIGH_BOUND
SYS                            USER_SUMMARIES                 QUERY
SYS                            USER_SUMMARY_AGGREGATES        MEASURE
SYS                            USER_TAB_COLS                  DATA_DEFAULT
SYS                            USER_TAB_COLS_V$               DATA_DEFAULT
SYS                            USER_TAB_COLUMNS               DATA_DEFAULT
SYS                            USER_TAB_PARTITIONS            HIGH_VALUE
SYS                            USER_TAB_SUBPARTITIONS         HIGH_VALUE
SYS                            USER_TRIGGERS                  TRIGGER_BODY
SYS                            USER_VIEWS                     TEXT
SYS                            USER_VIEWS_AE                  TEXT
SYS                            USER_ZONEMAPS                  QUERY
SYS                            USER_ZONEMAP_MEASURES          MEASURE
WMSYS                          ALL_WM_IND_EXPRESSIONS         COLUMN_EXPRESSION
WMSYS                          USER_WM_IND_EXPRESSIONS        COLUMN_EXPRESSION

So when we want to do some data mining against the dictionary, the following error is a common and frustrating one!


SQL> select *
  2  from   dba_views
  3  where  text like '%mystring%';
where  text like '%mystring%'
       *
ERROR at line 3:
ORA-00932: inconsistent datatypes: expected CHAR got LONG

I often hear the comment “Why not just in the next version, just change all those LONG’s to CLOB?”.  I imagine it would be possible to do so, but just pause for a second and think of the amount of regression testing that would need to occur, not just inside the database group in the Oracle organization, but for every customer that has ever coded up a mechanism in PL/SQL, or C, or Java, or any other language that is potentially using a LONG column in one of their queries.  I don’t know for sure, but I suspect that is the reason why we have added new columns to the dictionary rather than modify existing ones.  For example, if you look at DBA_VIEWS, you can see the addition of a column TEXT_VC which is a VARCHAR2 equivalent to the pre-existing TEXT column which is a LONG.


SQL> desc DBA_VIEWS
 Name                                Null?    Type
 ----------------------------------- -------- ----------------
 OWNER                               NOT NULL VARCHAR2(128)
 VIEW_NAME                           NOT NULL VARCHAR2(128)
 TEXT_LENGTH                                  NUMBER
 TEXT                                         LONG
 TEXT_VC                                      VARCHAR2(4000)
 TYPE_TEXT_LENGTH                             NUMBER
 TYPE_TEXT                                    VARCHAR2(4000)
 OID_TEXT_LENGTH                              NUMBER
 OID_TEXT                                     VARCHAR2(4000)
 VIEW_TYPE_OWNER                              VARCHAR2(128)
 VIEW_TYPE                                    VARCHAR2(128)
 SUPERVIEW_NAME                               VARCHAR2(128)
 EDITIONING_VIEW                              VARCHAR2(1)
 READ_ONLY                                    VARCHAR2(1)
 CONTAINER_DATA                               VARCHAR2(1)
 BEQUEATH                                     VARCHAR2(12)
 ORIGIN_CON_ID                                NUMBER
 DEFAULT_COLLATION                            VARCHAR2(100)
 CONTAINERS_DEFAULT                           VARCHAR2(3)
 CONTAINER_MAP                                VARCHAR2(3)
 EXTENDED_DATA_LINK                           VARCHAR2(3)
 EXTENDED_DATA_LINK_MAP                       VARCHAR2(3)

TEXT_VC is a nice touch, but it would have been nice to have that as a CLOB column to get access to the entire DDL for the view should it exceed 4000 characters.  I can’t solve that problem, but I thought perhaps I can give you a workable compromise.  In 8i, the TO_LOB function was implemented to allow customers to migrate from LONG to CLOB with minimal fuss.  I can take advantage of that to provide a CLOB-based copy of DBA_VIEWS:


SQL> create table system.t  as
  2  select
  3     owner
  4    ,view_name
  5    ,text_length
  6    ,to_lob(text) text
  7    ,text_vc
  8    ,type_text_length
  9    ,type_text
 10    ,oid_text_length
 11    ,oid_text
 12    ,view_type_owner
 13    ,view_type
 14    ,superview_name
 15    ,editioning_view
 16    ,read_only
 17    ,container_data
 18    ,bequeath
 19    ,origin_con_id
 20    ,default_collation
 21    ,containers_default
 22    ,container_map
 23    ,extended_data_link
 24    ,extended_data_link_map
 25  from dba_views;

Table created.

SQL>
SQL> create index system.t_ix on system.t ( owner, view_name );

Index created.

That is all well and good, but of course, the moment I perform maintenance on any view in the system, that table will be “stale”. That still might be a perfectly reasonably solution for you – you just refresh the table contents (say) once per day, or when you do deployments of schema changes into your database.  But perhaps we can do a little better than that.  Using a DDL event trigger, we can capture changes on views and adjust our copy accordingly.


SQL> create or replace
  2  trigger sys.view$clob$handler
  3  after create or alter or drop or rename
  4  on database
  5  when ( ora_dict_obj_type = 'VIEW' )
  6  declare
  7    l_obj_name  varchar2(128) := ora_dict_obj_name;
  8    l_obj_owner varchar2(128) := ora_dict_obj_owner;
  9
 10    l_text   varchar2(1000);
 11    sql_text ora_name_list_t;
 12    l_idx    pls_integer;
 13  begin
 14    lock table system.t in exclusive mode;
 15
 16    --
 17    -- remove the existing row for the view
 18    --
 19    delete from system.t where owner = l_obj_owner and view_name = l_obj_name;
 20
 21    --
 22    -- if it is a rename event, we will try to derive the new name
 23    -- from the sql statement by looking for a trailing "TO"
 24    --
 25    if ora_sysevent in ('RENAME') then
 26      l_idx := ora_sql_txt(sql_text);
 27      for i in 1 .. l_idx
 28      loop
 29          l_text := l_text || sql_text(i);
 30      end loop;
 31      l_idx := instr(lower(l_text),' to ');
 32      if l_idx = 0 then
 33        raise_application_error(-20000,'Could not find appropriate rename content');
 34      end if;
 35      --
 36      -- The SQL has a trailing chr(0) which we need to remove
 37      --
 38      l_text := rtrim(ltrim(substr(l_text,l_idx+4)),' '||chr(0));
 39      --
 40      -- The object name in quotes mean we preserve the case specified, otherwise
 41      -- we will normalize to upper
 42      --
 43      if l_text like '"%"' then
 44        l_obj_name := rtrim(ltrim(l_text,'"'),'"');
 45      else
 46        l_obj_name := upper(l_text);
 47      end if;
 48    end if;
 49
 50    --
 51    -- Now we insert the updated definition for the view, or
 52    -- perhaps its new name
 53    --
 54    if ora_sysevent in ('CREATE','ALTER','RENAME') then
 55      insert into system.t
 56      select
 57         owner
 58        ,view_name
 59        ,text_length
 60        ,to_lob(text) text
 61        ,text_vc
 62        ,type_text_length
 63        ,type_text
 64        ,oid_text_length
 65        ,oid_text
 66        ,view_type_owner
 67        ,view_type
 68        ,superview_name
 69        ,editioning_view
 70        ,read_only
 71        ,container_data
 72        ,bequeath
 73        ,origin_con_id
 74        ,default_collation
 75        ,containers_default
 76        ,container_map
 77        ,extended_data_link
 78        ,extended_data_link_map
 79      from dba_views
 80      where owner = l_obj_owner
 81      and   view_name = l_obj_name;
 82    end if;
 83
 84  end;
 85  /

Trigger created.

Obviously, for more serious usage you’ll be choosing a better table name and not using SYS, but this is just a demo on my laptop.  Unlike a DML trigger, where we have access to “new” and “old” images of the data, for a RENAME command, I had to probe the SQL text to try derive the new name. So lets now perform some view DDL and see how our tracking trigger accommodates the changes.


SQL> create view view1 as select * from ALL_objects;

View created.

SQL> create view view2 as select * from ALL_objects;

View created.

SQL> create view view3 as select * from view2;

View created.

SQL> drop view view1;

View dropped.

SQL> rename view2 to view2a;

Table renamed.

SQL>
SQL>
SQL> select count(*) from system.t;

  COUNT(*)
----------
      7347

SQL> select count(*) from dba_views;

  COUNT(*)
----------
      7347

SQL> select owner, view_name from dba_views
  2  minus
  3  select owner, view_name from system.t;

no rows selected

SQL>
SQL> select owner, view_name from system.t
  2  minus
  3  select owner, view_name from dba_views;

no rows selected

And there we have it – our own custom version of DBA_VIEWS where the TEXT is now exposed as a CLOB column.  So now, mining that column for information is as easy as a simple predicate


SQL> select owner, view_name
  2  from   system.t
  3  where  text like 'selec%ALL_objects';

OWNER                          VIEW_NAME
------------------------------ -------------------
MCDONAC                        VIEW2A

gc buffer busy

I had to write this post because I can never remember which way round Oracle named the two versions of gc  buffer busy when it split them. There are two scenarios to cover when my session wants my instance to acquire a global cache lock on a block and some other session is already trying to acquire that lock (or is holding it in an incompatible fashion):

  • The other session is in my instance
  • The other session is in a remote instance

One of these cases is reported as “gc buffer busy acquire”, the other as a “gc buffer busy release” – and I always have to check which is which. I think I usually get it right first time when I see it, but I always manage to convince myself that I might have got it wrong and end up searching the internet for Riyaj Shamsudeen’s blog posting about it.

The “release” is waiting for another instance to surrender the lock to my instance; the “acquire” is waiting for another session in my instance to finish acquiring the lock from the other  instance.

I decided to jot down this note so I didn’t have to keep searching for Riyaj’s and also because a little problem on OTN at the moment showed a couple of AWR reports with an unlikely combination of waits for acquire (180,000,000) and release (2,000) waits.

If you’re wondering why this looks odd – if I’m waiting for an acquire someone else in my instance must be waiting for a release.  Obviously many sessions could be waiting for one release, and if acquirers time out very rapidly (though they’re not reported as doing so) then the ratio could get very high – but 90,000 acquires per release doesn’t look right.

 

Video: Oracle X$TRACE, Wait Event Internals and Background Process Communication

I have uploaded the the video of my Secret Hacking Session: Oracle X$TRACE, Wait Event Internals and Background Process Communication to my Oracle performance & troubleshooting Youtube channel.

The slides are in Slideshare.

Enjoy!

 

NB! I am running one more Advanced Oracle Troubleshooting training in 2018! You can attend the live online training and can download personal video recordings too. The Part 1 starts on 29th January 2018 - sign up here!

Linux for the SQL Server DBA, Part III

Yes, there’s a Part III!

You’re going to have to start scripting and now that you know a few VI/VIM commands, lets talk beginning scripting with shell.

In our example below, we’re going to start a new project called “test”.  For this, the requirements are:

  1. create a new folder off of the /u01/scripts directory
  2. create a new file called test.sh inside the testdir directory
  3. ensure it uses bash as our chosen shell
# cd /u01/scripts
# mkdir testdir
# cd testdir
# touch test.sh
# ls
 test.sh
# pwd
 /u01/scripts/testdir

As you can see, I’ve now fulfilled the first two steps of the requirements.  Now I need to edit the new file I created and add the shell to be used.

# vim test.sh
i
#!/bin/bash
:wq

What I did in the above steps was to:

  1. open the file I created with the touch command in VIM.
  2. hit “i” to insert
  3. Add the dialect of shell scripting that we want to use.  By adding the “#!” before the path to the correct shell program, this tells the script to execute /bin/bash
  4. hit :wq” to write and quit the file, returning to the prompt.

This is the very beginning of scripting with shell.  We’re not going to go any further with this, but actually clean up, (aka remove) what we just did and how to do that properly.  From the /u01/scripts/testdir path:

# rm test.sh
 # ls
 # cd ..
 # rmdir testdir

For our next example, let’s say there are more files than the test.sh file in the directory:

# ls
test.sh test1.log test1.sh test2.log test2.sh

Now the rmdir, (remove directory) command won’t work.  You could use the command at the /u01/scripts path location to remove the testdir directory and ALL the files within it:

# rm -rf ./testdir

This is a destructive command, removing testdir and all files below, but what if you were really supposed to keep those other files or forgot to put in a directory name?

# rm -rf .

Well, that’s not what you wanted to do….  Its important to always double check the command before you hit the enter key and also consider scripting destructive commands that you have to run on a regular basis to deter from catastrophic mistakes.

You can find Part I and Part II for this blog series at the links.  Enjoy!



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Copyright © DBA Kevlar [Linux for the SQL Server DBA, Part III], All Right Reserved. 2018.

The post Linux for the SQL Server DBA, Part III appeared first on DBA Kevlar.

Explain Plan format

The DBMS_XPLAN format accepts a lot of options, which are not all documented. Here is a small recap of available information.

The minimum that is displayed is the Plan Line Id, the Operation, and the Object Name. You can add columns and/or sections with options, such as ‘rows’, optionally starting with a ‘+’ like ‘+rows’. Some options group several additional information, such ‘typical’, which is also the default, or ‘basic’, ‘all’, ‘advanced’. You can choose one of them and remove some columns, with ‘-‘, such as ‘typical -rows -bytes -cost -plan_hash -predicate -remote -parallel -partition -note’. Finally, from an cursor executed with plan statistics, you can show all execution statistics with ‘allstats’, and the last execution statistics with ‘allstats last’. Subsets of ‘allstats’ are ‘rowstats’, ‘memstats’, ‘iostats’, buffstats’.

Of course, the column/section is displayed only if the information is present.

This blog post shows what is display by which option, as of 12cR2, and probably with some missing combinations.

+plan_hash, or BASIC


PLAN_TABLE_OUTPUT
-----------------
Plan hash value: 1338588353

Plan hash value: is displayed by ‘basic +plan_hash’ or ‘typical’ or ‘all’ or ‘advanced’

+rows +bytes +cost +partition +parallel, or TYPICAL


-----------------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Pstart| Pstop | TQ/Ins |IN-OUT| PQ Distrib |
-----------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 287 | 19516 | 5 (20)| 00:00:01 | | | | | |
| 1 | PX COORDINATOR | | | | | | | | | | |
| 2 | PX SEND QC (ORDER) | :TQ10002 | 287 | 19516 | 5 (20)| 00:00:01 | | | Q1,02 | P->S | QC (ORDER) |
| 3 | SORT ORDER BY | | 287 | 19516 | 5 (20)| 00:00:01 | | | Q1,02 | PCWP | |
| 4 | PX RECEIVE | | 287 | 19516 | 4 (0)| 00:00:01 | | | Q1,02 | PCWP | |
| 5 | PX SEND RANGE | :TQ10001 | 287 | 19516 | 4 (0)| 00:00:01 | | | Q1,01 | P->P | RANGE |
|* 6 | HASH JOIN | | 287 | 19516 | 4 (0)| 00:00:01 | | | Q1,01 | PCWP | |
| 7 | PX BLOCK ITERATOR | | 14 | 532 | 2 (0)| 00:00:01 | 1 | 1 | Q1,01 | PCWC | |
| 8 | TABLE ACCESS FULL | EMP | 14 | 532 | 2 (0)| 00:00:01 | 1 | 1 | Q1,01 | PCWP | |
| 9 | BUFFER SORT | | | | | | | | Q1,01 | PCWC | |
| 10 | PX RECEIVE | | 82 | 2460 | 2 (0)| 00:00:01 | | | Q1,01 | PCWP | |
| 11 | PX SEND BROADCAST| :TQ10000 | 82 | 2460 | 2 (0)| 00:00:01 | | | | S->P | BROADCAST |
| 12 | REMOTE | DEPT | 82 | 2460 | 2 (0)| 00:00:01 | | | LOOPB~ | R->S | |
-----------------------------------------------------------------------------------------------------------------------------------

Rows or E-Rows: is displayed by ‘basic +rows’ or ‘typical’ or ‘all’ or ‘advanced’
Bytes or E-Bytes: is displayed by ‘basic +bytes’ or ‘typical’ or ‘all’ or ‘advanced’
Cost: is displayed by ‘basic +cost’ or ‘typical’ or ‘all’ or ‘advanced’
TmpSpc or E-Temp: is displayed by ‘basic +bytes’ or ‘typical’ or ‘all’ or ‘advanced’
Time or E-Time: is displayed by ‘typical’ or ‘all’ or ‘advanced’
Pstart/Pstop: is displayed by ‘basic +partition’ or ‘typical’ or ‘all’ or ‘advanced’
TQ/Ins, IN-OUT, PQ Distrib: is displayed by ‘basic +parallel’ or ‘typical’ or ‘all’ or ‘advanced’

The ‘A-‘ and ‘E-‘ prefixes are used when displaying execution statistics, to differentiate estimations with actual numbers

+alias


Query Block Name / Object Alias (identified by operation id):
-------------------------------------------------------------
 
1 - SEL$58A6D7F6
8 - SEL$58A6D7F6 / EMP@SEL$1
12 - SEL$58A6D7F6 / DEPT@SEL$1

Query Block Name / Object Alias: is displayed by ‘basic +alias’ or ‘typical +alias’ or ‘all’ or ‘advanced’

+outline


Outline Data
-------------
 
/*+
BEGIN_OUTLINE_DATA
PQ_DISTRIBUTE(@"SEL$58A6D7F6" "DEPT"@"SEL$1" NONE BROADCAST)
USE_HASH(@"SEL$58A6D7F6" "DEPT"@"SEL$1")
LEADING(@"SEL$58A6D7F6" "EMP"@"SEL$1" "DEPT"@"SEL$1")
FULL(@"SEL$58A6D7F6" "DEPT"@"SEL$1")
FULL(@"SEL$58A6D7F6" "EMP"@"SEL$1")
OUTLINE(@"SEL$1")
OUTLINE(@"SEL$2")
MERGE(@"SEL$1" >"SEL$2")
OUTLINE_LEAF(@"SEL$58A6D7F6")
ALL_ROWS
DB_VERSION('12.2.0.1')
OPTIMIZER_FEATURES_ENABLE('12.2.0.1')
IGNORE_OPTIM_EMBEDDED_HINTS
END_OUTLINE_DATA
*/

Outline Data: is displayed by ‘basic +outline’ or ‘typical +outline’ or ‘all +outline’ or ‘advanced’

+peeked_binds


Peeked Binds (identified by position):
--------------------------------------
 
1 - :X (VARCHAR2(30), CSID=873): 'x'

Peeked Binds: is displayed by ‘basic +peeked_binds’ or ‘typical +peeked_binds’ or ‘all +outline’ or ‘advanced’

+predicate


Predicate Information (identified by operation id):
---------------------------------------------------
 
6 - access("EMP"."DEPTNO"="DEPT"."DEPTNO")

Predicate Information: is displayed by ‘basic +predicate’ or ‘typical’ or ‘all’ or ‘advanced’

+column


Column Projection Information (identified by operation id):
-----------------------------------------------------------
 
1 - INTERNAL_FUNCTION("DEPT"."DEPTNO")[22], "EMP"."EMPNO"[NUMBER,22], "EMP"."ENAME"[VARCHAR2,10],
"EMP"."JOB"[VARCHAR2,9], "EMP"."MGR"[NUMBER,22], "EMP"."HIREDATE"[DATE,7], "EMP"."SAL"[NUMBER,22],
"EMP"."COMM"[NUMBER,22], "DEPT"."DNAME"[VARCHAR2,14], "DEPT"."LOC"[VARCHAR2,13]
2 - (#keys=0) INTERNAL_FUNCTION("DEPT"."DEPTNO")[22], "EMP"."EMPNO"[NUMBER,22], "EMP"."ENAME"[VARCHAR2,10],
"EMP"."JOB"[VARCHAR2,9], "EMP"."MGR"[NUMBER,22], "EMP"."HIREDATE"[DATE,7], "EMP"."SAL"[NUMBER,22],
"EMP"."COMM"[NUMBER,22], "DEPT"."DNAME"[VARCHAR2,14], "DEPT"."LOC"[VARCHAR2,13]
3 - (#keys=1) INTERNAL_FUNCTION("DEPT"."DEPTNO")[22], "EMP"."EMPNO"[NUMBER,22], "EMP"."ENAME"[VARCHAR2,10],
"EMP"."JOB"[VARCHAR2,9], "EMP"."MGR"[NUMBER,22], "EMP"."HIREDATE"[DATE,7], "EMP"."SAL"[NUMBER,22],
"EMP"."COMM"[NUMBER,22], "DEPT"."DNAME"[VARCHAR2,14], "DEPT"."LOC"[VARCHAR2,13]
4 - INTERNAL_FUNCTION("DEPT"."DEPTNO")[22], "EMP"."EMPNO"[NUMBER,22], "EMP"."ENAME"[VARCHAR2,10],
"EMP"."JOB"[VARCHAR2,9], "EMP"."MGR"[NUMBER,22], "EMP"."HIREDATE"[DATE,7], "EMP"."SAL"[NUMBER,22],
"EMP"."COMM"[NUMBER,22], "DEPT"."DNAME"[VARCHAR2,14], "DEPT"."LOC"[VARCHAR2,13]

Column Projection Information: is displayed by ‘basic +projection’ or ‘typical +projection’ or ‘all’ or ‘advanced’

+remote


Remote SQL Information (identified by operation id):
----------------------------------------------------
 
12 - SELECT "DEPTNO","DNAME","LOC" FROM "DEPT" "DEPT" (accessing 'LOOPBACK' )

Remote SQL Information: is displayed by ‘basic +remote’ or ‘typical’ or ‘all’ or ‘advanced’

+metrics


Sql Plan Directive information:
-------------------------------
 
Used directive ids:
9695481911885124390

Sql Plan Directive information: is displayed by ‘+metrics’

+note

The Note section can show information about SQL Profiles, SQL Patch, SQL Plan Baseline, Outlines, Dynamic Sampling, Degree of Parallelism, Parallel Query, Parallel DML, Create Index Size, Cardinality Feedback, Rely Constraints used for transformation, Sub-Optimal XML, Adaptive Plan, GTT private statistics,…


Note
-----
- Degree of Parallelism is 2 because of table property
- dynamic statistics used: dynamic sampling (level=2)
- 1 Sql Plan Directive used for this statement
- this is an adaptive plan (rows marked '-' are inactive)

Note: is displayed by ‘basic +note’ or ‘typical’ or ‘all’ or ‘advanced’

+adaptive


---------------------------------------------------------------------------------------
| Id | Operation | Name |Starts|E-Rows| A-Rows|
---------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | | 0 |
| 1 | HASH UNIQUE | | 1 | 1 | 0 |
| * 2 | HASH JOIN SEMI | | 1 | 1 | 0 |
|- 3 | NESTED LOOPS SEMI | | 1 | 1 | 7 |
|- 4 | STATISTICS COLLECTOR | | 1 | | 7 |
| * 5 | TABLE ACCESS FULL | DEPARTMENTS | 1 | 1 | 7 |
|- * 6 | TABLE ACCESS BY INDEX ROWID BATCHED| EMPLOYEES | 0 | 1 | 0 |
|- * 7 | INDEX RANGE SCAN | EMP_DEP_IX | 0 | 10 | 0 |
| * 8 | TABLE ACCESS FULL | EMPLOYEES | 1 | 1 | 1 |
---------------------------------------------------------------------------------------

Inactive branches of adaptive plan: is displayed by ‘+adaptive’

+report


Reoptimized plan:
-----------------
This cursor is marked for automatic reoptimization. The plan that is
expected to be chosen on the next execution is displayed below.

Reoptimized plan: is displayed by ‘+report’

ALLSTATS


---------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | OMem | 1Mem | O/1/M |
---------------------------------------------------------------------------------------------------------------------------

Starts: is displayed by ‘basic +rowstats’, ‘basic +allstats’
A-Rows: is displayed by ‘basic +rowstats’, ‘basic +allstats’
A-Time: is displayed by ‘typical +rowstats’, ‘basic +allstats’
Buffers, Reads, Writes: is displayed by ‘basic +buffstats’, ‘basic +iostats’, ‘basic +allstats’
OMem, 1Mem, Used-Mem, O/1/M, Used-Mem: is displayed by ‘basic +memstats’, ‘basic +allstats’
Max-Tmp,Used-Tmp is displayed by ‘basic +memstats’, ‘typical +allstats’

With summed stats, O/1/M and Max-Tmp are used for the headers. With last stats, Used-Mem and Used-Tmp.

 

Cet article Explain Plan format est apparu en premier sur Blog dbi services.

Identity columns in 12c … just a sequence ?

This question came to me over Twitter, so I thought I’d whip out a quick post on it

 

image

Yes, we do implement the IDENTITY column via a sequence.  (Digression – I think this is a smart thing to do.  After all, we’ve had sequences for 20 years, so we know how they work, they are mature, tested, and rock solid, so why invent something new?)

So Peter’s question was – why not just do what we’ve always done and create a sequence and assign it as the default.  And yes, there is nothing wrong with doing that – it will work just fine.  But there are a couple of subtle differences between that and using the IDENTITY syntax.

1) The sequence is bound to the table, so when I drop the table, the sequence disappears as well


SQL> create table t ( x int generated as identity);

Table created.

SQL> select object_name from user_objects where created > sysdate - 60/86400;

OBJECT_NAME
----------------------------------------
T
ISEQ$$_195276

SQL> drop table t purge;

Table dropped.

SQL> select object_name from user_objects where created > sysdate - 60/86400;

no rows selected

2) You can lock down the column


SQL> create table t ( x int generated always as identity);

Table created.

SQL> insert into t values ( 12 ) ;
insert into t values ( 12 )
*
ERROR at line 1:
ORA-32795: cannot insert into a generated always identity column

Personally, I don’t have a preference.  The most important thing to me was that sequences can be used as a default value to avoid triggers on every single table.

DOAG 2017 and IT Tage 2017 Presentation Material

First of all Happy New Year to everyone and I want to thank the numerous people that attended my sessions "Calamities With Cardinalities" at DOAG 2017 and IT Tage 2017 last November and December.

You can find the slide deck here at slideshare.net.

Stay tuned for more publications this year - at least I have some interesting stuff upcoming.

Western Europe 2018 Tour

Many thanks to all those who graced my sessions during my Western Europe 2018 Tour in Paris, Lausanne, Milan and Rome. You can download the materials presented here http://bit.ly/2DA0ae9.

Subtle changes in XML, 11g vs 12c

An AskTOM reader brought this to our attention.  It is unlikely to cause you any issues, but perhaps is good to know when it comes times to upgrade from 11g to 12c.

If you are taking an user defined object type and transposing that to XML, you will see a slightly different handling of NULLs in the object attributes.  Here’s a quick example which demonstrates the difference.

11g

Nulls attributes do not appear within the XML output



SQL> create or replace type test_dummy_object as object (
  2    id number,
  3    "name"  varchar2(30),
  4    "Value" varchar2(30)
  5  )
  6  /

Type created.

SQL>
SQL> select xmlserialize(content xmltype(anydata.convertObject( test_dummy_object(1, null, '0') )) indent SHOW DEFAULTS) from dual
  2  union all
  3  select xmlserialize(content xmltype(anydata.convertObject( test_dummy_object(1, null, '0') )) indent HIDE DEFAULTS) from dual
  4  union all
  5  select xmltype(anydata.convertObject( test_dummy_object(1, null, '0') )).getclobval() from dual
  6  union all
  7  select xmltype(test_dummy_object(1, null, '0')).getclobval() from dual
  8  union all
  9  select xmltype.createxml(test_dummy_object(1, null, '0')).getclobval() from dual;

XMLSERIALIZE(CONTENTXMLTYPE(ANYDATA.CONVERTOBJECT(TEST_DUMMY_OBJECT(1,NULL,'0'))
--------------------------------------------------------------------------------

  1
  0



  1
  0


10
10
10





12c

Nulls attributes do appear within the XML output



SQL> create or replace type test_dummy_object as object (
  2    id number,
  3    "name"  varchar2(30),
  4    "Value" varchar2(30)
  5  )
  6  /

Type created.

SQL>
SQL> select xmlserialize(content xmltype(anydata.convertObject( test_dummy_object(1, null, '0') )) indent SHOW DEFAULTS) from dual
  2  union all
  3  select xmlserialize(content xmltype(anydata.convertObject( test_dummy_object(1, null, '0') )) indent HIDE DEFAULTS) from dual
  4  union all
  5  select xmltype(anydata.convertObject( test_dummy_object(1, null, '0') )).getclobval() from dual
  6  union all
  7  select xmltype(test_dummy_object(1, null, '0')).getclobval() from dual
  8  union all
  9  select xmltype.createxml(test_dummy_object(1, null, '0')).getclobval() from dual;

XMLSERIALIZE(CONTENTXMLTYPE(ANYDATA.CONVERTOBJECT(TEST_DUMMY_OBJECT(1,NULL,'0')))INDENTSHOWDEFAULTS)
---------------------------------------------------------------------------------------------------------------------------------------

  1
  
  0



  1
  
  0


1
0

1
0

1
0




Why SQL Server Shouldn’t Run as Root on Linux

So more than one person contacted me about my last post and stated that they didn’t see a problem with SQL Server on Linux running as the root user.

Me:

Although enhancements have changed Windows installations for applications to run with a unique user, I created a mssql OS user even back on SQL Server 2000 on Windows as I had a tendency to use similar security practices for all database platforms as a multi-platform DBA.  With that being said-  yes, it introduced complexity, but it was for a reason: users should be restricted to the least amount of privileges required.  To grant any application or database “God” powers on a host is akin to granting DBA to every user in the database, but at the host level.  As important as security is to DBAs INSIDE the database, it should be just as important to us OUTSIDE of it on the host it resides on.

Security is important and has become more complex with the increase of security breaches and introduction of the cloud.  One of the most simple ways to do this is to ensure that all application owners on a host are granted only the privileges they require.  The application user should only utilize SUDO, stick bit, iptables, SUID, SGID and proper group creation/allocation if and when required.

SQL Server As Root

As an example, let’s say that SQL Server is owned by root on a Linux machine and its a standard process for this system to still load data via Excel spreadsheets since it’s OS migration to Linux.  A hacker has discovered this and builds malware to attach to the excel spreadsheet and as the files are owned by the same owner as SQL Server, the malware is able to take advantage of the vulnerability, running scripts on the host as root. If SQL Server had been installed as the OS user mssql, with limited privileges and proper group affiliation, this type of attack could be isolated and impact lessened.

Linux administrators will consistently demand you justify why you need to run anything as root.  No matter if it’s to update files, create files, modify applications or even execute system tasks, but by having a proper user/group configuration will:

  1. Have the ability to track via an audit who has switched over to super user.
  2. be more likely to eliminate human mistakes by executing catastrophic commands.
  3. Simplify identifying what processes are part of an application stack
  4. provides a second layer of security that could save the company from becoming the next security breach.
  5. Limits the amount of data the application is privy to on the host.

Do It Right, Don’t Do It Twice

Create a proper MSSQL OS User on Linux and create a DBA and SQLINSTALL group.  As Microsoft matures its SQL Server offering on Linux, features are going to increase and be enhanced.  Microsoft will embrace mature practices, so get ahead of the game and start now, building proper security from the beginning.

 

 



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