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eDB360 meets eAdam 3.0 – when two heads are better than one!

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Version v1711 of eDB360 invites eAdam 3.0 to the party. What does it mean? We recently learned that eDB360 v1706 introduced the eDB360 repository, which materialized the content of 26 core DBA_HIST views into a staging repository made of heap tables. This in order to expedite the execution of eDB360 on a database with an enlarged AWR. New version v1711 expands the list from 26 views to a total of 219. And these 219 views include now DBA_HIST, DBA, GV$ and V$.

Expanding existing eDB360 repository 8.4x from 26 to 219 views is not what is key on version v1710. The real impact of the latest version of eDB360 is that now it benefits of eAdam 3.0, providing the same benefits of the 219 views of the eDB360 heap-tables repository, but using External Tables, which are easily transported from a source database to a target database. This simple fact opens many doors.

Using the eAdam 3.0 repository from eDB360, we can now extract the metadata from a production database, then restore it on a staging database where we can produce the eDB360 report for the source database. We could also use this new external repository for: finer-granularity data mining; capacity planning; sizing for potential hardware refresh; provisioning tools; to estimate candidate segments for partitioning or for offloading into Hadoop; etc.

With the new external-tables eAdam 3.0 repository, we could easily build a permanent larger heap-table permanent repository for multiple databases (multiple tenants), or for multiple time versions of the same database. Thus, now that eDB360 has met eAdam 3.0, the combination of these two enables multiple innovative future features (custom or to be packaged and shipped with eDB360).

eDB360 recap

eDB360 is a free tool that gives a 360-degree view of an Oracle database. It installs nothing on the database, and it runs on 10g to 12c Oracle databases. It is designed for Linux and UNIX, but runs well on Windows as well (you may want to install first UNIX Utilities UnxUtils and a zip program, else a few OS commands may not properly work on Windows). This repository-less version is the default way to use eDB360, and is the right method for most cases. But now, in addition to the default use, eDB360 can also make use of one of two repositories.

eDB360 takes time to execute (several hours). It is designed to time-out after 24 hours by default. First reason for long execution times is the intentional serial-processing method used, with sequential execution of query after query, while consuming little resources. Such serial execution, plus the fact that it is common to have the tool execute on large databases where the state of AWR is suboptimal, causes the execution to take long.  We often discover that source AWR repositories lack expected partitioning, and in many cases they hold years of data instead of expected 8 to 31 days. Therefore, the nature of serial-execution combined with enlarged and suboptimal AWR repositories, usually cause eDB360 to execute for many hours more than expected. With 8 to 31 days of AWR data, and when such reasonable history is well partitioned, eDB360 usually executes in less than 6 hours.

To overcome the undesired extended execution times of eDB360, and besides the obvious (partition and purge AWR), the tool provides the capability to execute in multiple threads splitting its content by column. And now, in addition to the divide-and-conquer approach of column execution, eDB360 provides 2 repositories with different objectives in mind:

  1. eDB360 repository: Use this method to create a staging repository based on heap tables inside the source database. This method helps to expedite the execution of eDB360 by at least 10x. Repository heap-tables are created and consumed inside the same database.
  2. eAdam3 repository: Use this method to generate a repository based on external tables on the source database. Such external-tables repository can be moved easily to a remote target system, allowing to efficiently generate the eDB360 report there. This method helps to reduce computations in the source database, and enables potential data mining on the external repository without any resources impact on the source database. This method also helps to build other functions on top of the 219-tables repository.

Views included on both eDB360 and eAdam3 repositories:

  1. dba_2pc_neighbors
  2. dba_2pc_pending
  3. dba_all_tables
  4. dba_audit_mgmt_config_params
  5. dba_autotask_client
  6. dba_autotask_client_history
  7. dba_cons_columns
  8. dba_constraints
  9. dba_data_files
  10. dba_db_links
  11. dba_extents
  12. dba_external_tables
  13. dba_feature_usage_statistics
  14. dba_free_space
  15. dba_high_water_mark_statistics
  16. dba_hist_active_sess_history
  17. dba_hist_database_instance
  18. dba_hist_event_histogram
  19. dba_hist_ic_client_stats
  20. dba_hist_ic_device_stats
  21. dba_hist_interconnect_pings
  22. dba_hist_memory_resize_ops
  23. dba_hist_memory_target_advice
  24. dba_hist_osstat
  25. dba_hist_parameter
  26. dba_hist_pgastat
  27. dba_hist_resource_limit
  28. dba_hist_seg_stat
  29. dba_hist_service_name
  30. dba_hist_sga
  31. dba_hist_sgastat
  32. dba_hist_snapshot
  33. dba_hist_sql_plan
  34. dba_hist_sqlstat
  35. dba_hist_sqltext
  36. dba_hist_sys_time_model
  37. dba_hist_sysmetric_history
  38. dba_hist_sysmetric_summary
  39. dba_hist_sysstat
  40. dba_hist_system_event
  41. dba_hist_tbspc_space_usage
  42. dba_hist_wr_control
  43. dba_ind_columns
  44. dba_ind_partitions
  45. dba_ind_statistics
  46. dba_ind_subpartitions
  47. dba_indexes
  48. dba_jobs
  49. dba_jobs_running
  50. dba_lob_partitions
  51. dba_lob_subpartitions
  52. dba_lobs
  53. dba_obj_audit_opts
  54. dba_objects
  55. dba_pdbs
  56. dba_priv_audit_opts
  57. dba_procedures
  58. dba_profiles
  59. dba_recyclebin
  60. dba_registry
  61. dba_registry_hierarchy
  62. dba_registry_history
  63. dba_registry_sqlpatch
  64. dba_role_privs
  65. dba_roles
  66. dba_rsrc_consumer_group_privs
  67. dba_rsrc_consumer_groups
  68. dba_rsrc_group_mappings
  69. dba_rsrc_io_calibrate
  70. dba_rsrc_mapping_priority
  71. dba_rsrc_plan_directives
  72. dba_rsrc_plans
  73. dba_scheduler_job_log
  74. dba_scheduler_jobs
  75. dba_scheduler_windows
  76. dba_scheduler_wingroup_members
  77. dba_segments
  78. dba_sequences
  79. dba_source
  80. dba_sql_patches
  81. dba_sql_plan_baselines
  82. dba_sql_plan_dir_objects
  83. dba_sql_plan_directives
  84. dba_sql_profiles
  85. dba_stat_extensions
  86. dba_stmt_audit_opts
  87. dba_synonyms
  88. dba_sys_privs
  89. dba_tab_cols
  90. dba_tab_columns
  91. dba_tab_modifications
  92. dba_tab_partitions
  93. dba_tab_privs
  94. dba_tab_statistics
  95. dba_tab_subpartitions
  96. dba_tables
  97. dba_tablespace_groups
  98. dba_tablespaces
  99. dba_temp_files
  100. dba_triggers
  101. dba_ts_quotas
  102. dba_unused_col_tabs
  103. dba_users
  104. dba_views
  105. gv$active_session_history
  106. gv$archive_dest
  107. gv$archived_log
  108. gv$asm_disk_iostat
  109. gv$database
  110. gv$dataguard_status
  111. gv$event_name
  112. gv$eventmetric
  113. gv$instance
  114. gv$instance_recovery
  115. gv$latch
  116. gv$license
  117. gv$managed_standby
  118. gv$memory_current_resize_ops
  119. gv$memory_dynamic_components
  120. gv$memory_resize_ops
  121. gv$memory_target_advice
  122. gv$open_cursor
  123. gv$osstat
  124. gv$parameter
  125. gv$pga_target_advice
  126. gv$pgastat
  127. gv$pq_slave
  128. gv$pq_sysstat
  129. gv$process
  130. gv$process_memory
  131. gv$px_buffer_advice
  132. gv$px_process
  133. gv$px_process_sysstat
  134. gv$px_session
  135. gv$px_sesstat
  136. gv$resource_limit
  137. gv$result_cache_memory
  138. gv$result_cache_statistics
  139. gv$rsrc_cons_group_history
  140. gv$rsrc_consumer_group
  141. gv$rsrc_plan
  142. gv$rsrc_plan_history
  143. gv$rsrc_session_info
  144. gv$rsrcmgrmetric
  145. gv$rsrcmgrmetric_history
  146. gv$segstat
  147. gv$services
  148. gv$session
  149. gv$session_blockers
  150. gv$session_wait
  151. gv$sga
  152. gv$sga_target_advice
  153. gv$sgainfo
  154. gv$sgastat
  155. gv$sql
  156. gv$sql_monitor
  157. gv$sql_plan
  158. gv$sql_shared_cursor
  159. gv$sql_workarea_histogram
  160. gv$sysmetric
  161. gv$sysmetric_summary
  162. gv$sysstat
  163. gv$system_parameter2
  164. gv$system_wait_class
  165. gv$temp_extent_pool
  166. gv$undostat
  167. gv$waitclassmetric
  168. gv$waitstat
  169. v$archive_dest_status
  170. v$archived_log
  171. v$ash_info
  172. v$asm_attribute
  173. v$asm_client
  174. v$asm_disk
  175. v$asm_disk_stat
  176. v$asm_diskgroup
  177. v$asm_diskgroup_stat
  178. v$asm_file
  179. v$asm_template
  180. v$backup
  181. v$backup_set_details
  182. v$block_change_tracking
  183. v$cell_config
  184. v$cell_state
  185. v$controlfile
  186. v$database
  187. v$database_block_corruption
  188. v$datafile
  189. v$flashback_database_log
  190. v$flashback_database_stat
  191. v$instance
  192. v$io_outlier
  193. v$iostat_file
  194. v$kernel_io_outlier
  195. v$lgwrio_outlier
  196. v$log
  197. v$log_history
  198. v$logfile
  199. v$mystat
  200. v$nonlogged_block
  201. v$option
  202. v$parallel_degree_limit_mth
  203. v$parameter
  204. v$pdbs
  205. v$recovery_area_usage
  206. v$recovery_file_dest
  207. v$restore_point
  208. v$rman_backup_job_details
  209. v$rman_output
  210. v$segstat
  211. v$spparameter
  212. v$standby_log
  213. v$sys_time_model
  214. v$sysaux_occupants
  215. v$system_parameter2
  216. v$tablespace
  217. v$tempfile
  218. v$thread
  219. v$version

Instructions to use eDB360 and eAdam3 repositories

Both repositories are implemented under the edb360-master/repo subdirectory. Each has a readme file, which explains how to create the repository, consume it and drop it. The eAdam3 repository also includes instructions how to clone an external-table-based eAdam repository into a heap-table-based eDB360 repository.

Executing eDB360 on the eDB360 repository is faster than executing it on the eAdam3 repository, while avoiding new bug 25802477. This new Oracle database bug inflicts compressed external-tables like the ones used by the eAdam3 repository.

If you use eDB360 or eAdam3 repositories and have questions or concerns, do not hesitate to contact the author.

 

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Written by Carlos Sierra

April 10, 2017 at 2:41 pm

eDB360 new features (March 2017)

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As many of you know, eDB360 is a free tool that provides a 360-degree view of an Oracle database without any installation. A new version is available like once per month, but occasionally a large number of enhancements are implemented at once. This new release v1708 (March 25, 2017) includes several new features requested recently by some users of the tool, thus the need to blog about what is new:

  1. Reducing the scope of eDB360 is now possible without having to generate a custom configuration file. Prior to this version, if a user wanted to generate output for let’s say AWR reports only (section 7a), the tool needed a custom.sql file with line DEF edb360_sections = ‘7a’;. Then we would pass to edb360.sql as 2nd execution parameter the name of this custom configuration file (too cumbersome!). Starting on v1708, we can directly pass to edb360.sql the section that we desire (i.e. SQL> @edb360 T 7a). This 2nd parameter can either input the name of a custom configuration file (legacy functionality), but now it also accepts a column, a section, a list of columns or a list of sections; for example: 7a, 7, 7a-7b, 1-4 and 3 are all valid values.
  2. A couple of reports were added to section 3h: “SQL in logon storms” and “SQL executed row-by-row”. The former identifies those SQL statements that are seen frequently on very short-lived sessions (based on ASH), and the latter presents a list of SQL statements with large number of executions and small number of rows processed.
  3. eDB360 now extracts ASH from eAdam for top 16 SQL_ID (as per SQLd360 list) + top 12 SNAP_ID (as per AWR MAX from column 7a). What it means is that eDB360 includes now a tar file with raw ASH data for both: SQL statements of interest and for AWR periods of interest (both according to what eDB360 considers important). Using eAdam is easy, so when content of eDB360 does not include a very specific aggregation of ASH data that we need, or when we have to understand the sequence of some ASH samples for example, we can then restore this eAdam data on any Oracle database and data mine it.
  4. Some reports on section 2b show now totals at the bottom. That is to SUM some numeric values. Other reports may follow in future releases.
  5. RMAN section includes now a new report “Blocks with Corruption or Non-logged”.
  6. Added Load Profile (Per Sec, Per Txn and Count) as per DBA_HIST_SYSMETRIC_SUMMARY. This Load Profile resembles what we see on AWR at the top, but this is computed for the entire period of diagnostics (31 days by default). It shows max values, average, median and several percentiles. With this new report on section 1a, we can glance over it and discover in minutes some areas of further interest, for example: logons per second too high, just to mention one.
  7. There is a new section 4i with “Waits Count v.s. Average Latency for top 24 Wait Events”. With this set of 24 reports (one for each of the top wait events) we can observe if patterns on the number of counts relate to patterns on the latency for such wait event; for example we are able to see if an increase in the number of waits for db file sequential reads correlates to an increase of average latency for such wait event. We can also observe cases were latency for a wait event cannot be explained by load on current database, thus hinting an external influence.
  8. Fixed “ORA-01476: divisor is equal to zero” on planx at DBA_HIST_SQLSTAT.
  9. Added AWR DIFF reports for RAC and per instance. These are computed comparing MAX reports to MEDIAN reports, and they help to quickly identify large differences on load. These new AWR DIFF reports are regulated by configuration parameter edb360_conf_incl_addm_rpt (enabled by default). They exist on 11R2 and higher.
  10. Added the ASH Analytics Active report for 12c. This new ASH report is regulated by configuration parameter edb360_conf_incl_ash_analy_rpt (enabled by default). This applies to 12c and higher.
  11. The name of the database is now part of the main filename. Some users requested to include this database name as part of the main zip file since they are using eDB360 periodically on several databases. This new feature is regulated by configuration parameter edb360_conf_incl_dbname_file (disabled by default).
  12. At completion, main eDB360 zip file can now by automatically moved to a location other than the standard SQL*Plus working directory. All output files are still generated on the local SQL*Plus directory from where the script edb360.sql is executed (i.e. edb360-master directory), but at the completion of the execution the consolidated output zip file is now moved to a location specified by a new parameter. This new feature is regulated by configuration parameter edb360_move_directory (disabled by default).
  13. Added new report on “Database and Schema Triggers” under column 3h. This new report can be used to see potential LOGON or other global triggers. For triggers on specific tables, refer to SQLd360 which is automatically included on eDB360 for top SQL.
  14. All queries executed by eDB360 to generate its output were modified. New format is q'[query]’. Reason for this change is to improve readability of the code.

Always download and use the latest version of this tool. For questions or feedback email me. And I hope you get to enjoy eDB360 as much as I do!

Written by Carlos Sierra

March 25, 2017 at 6:51 pm

eDB360 includes now an optional staging repository

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eDB360 has always worked under the premise “no installation required”, and still is the case today – it is part of its fundamental essence: give me a 360-degree view of my Oracle database with no installation whatsoever. With that in mind, this free tool helps sites that have gone to the cloud, as well as those with “on-premises” databases; and in both cases not installing anything certainly expedites diagnostics collections. With eDB360, you simply connect to SQL*Plus with an account that can select from the catalog, execute then a set of scripts behind eDB360 and bingo!, you get to understand what is going on with your database just by navigating the html output. With such functionality, we can remotely diagnose a database, and even elaborate on the full health-check of it. After all, that is how we successfully use it every day!, saving us hundreds of hours of metadata gathering and cross-reference analysis.

Starting with release v1706, eDB360 also supports an optional staging repository of the 26 AWR views listed below. Why? the answer is simple: improved performance! This can be quite significant on large databases with hundreds of active sessions, with frequent snapshots, or with a long history on AWR. We have seen cases where years of data are “stuck” on AWR, specially in older releases of the database. Of course cleaning up the outdated AWR history (and corresponding statistics) is highly recommended, but in the meantime trying to execute edb360 on such databases may lead to long execution hours and frustration, taking sometimes days for what should take only a few hours.

  1. dba_hist_active_sess_history
  2. dba_hist_database_instance
  3. dba_hist_event_histogram
  4. dba_hist_ic_client_stats
  5. dba_hist_ic_device_stats
  6. dba_hist_interconnect_pings
  7. dba_hist_memory_resize_ops
  8. dba_hist_memory_target_advice
  9. dba_hist_osstat
  10. dba_hist_parameter
  11. dba_hist_pgastat
  12. dba_hist_resource_limit
  13. dba_hist_service_name
  14. dba_hist_sga
  15. dba_hist_sgastat
  16. dba_hist_sql_plan
  17. dba_hist_sqlstat
  18. dba_hist_sqltext
  19. dba_hist_sys_time_model
  20. dba_hist_sysmetric_history
  21. dba_hist_sysmetric_summary
  22. dba_hist_sysstat
  23. dba_hist_system_event
  24. dba_hist_tbspc_space_usage
  25. dba_hist_wr_control
  26. dba_hist_snapshot

Thus, if you are contemplating executing eDB360 on a large database, and provided pre-check script edb360-master/sql/awr_ash_pre_check.sql shows that eDB360 might take over 24 hours, then while you clean up your AWR repository you can use the eDB360 staging repository as a workaround to speedup eDB360 execution. The use of this optional staging repository is very simple, just look inside the edb360-master/repo directory for instructions. And as always, shoot me an email or comment here if there were any questions.

Written by Carlos Sierra

February 19, 2017 at 8:43 pm

SQLTXPLAIN PL/SQL Public APIs to execute XTRACT from 3rd party tools

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Many tools offer Public APIs, which expose some functionality to other tools. SQLTXPLAIN contains also some Public APIs. They are provided by package SQLTXADMIN.SQLT$E. I would say the most relevant one is XTRACT_SQL_PUT_FILES_IN_DIR. This blog post is about this Public API and how it can be used by other tools to execute a SQLT XTRACT from PL/SQL instead of SQL*Plus.

Imagine a tool that deals with SQL statements, and with the click of a button it invokes SQLTXTRACT on a SQL of interest, and after a few minutes, most files created by SQLTXTRACT suddenly show on an OS pre-defined directory. Implementing this SQLT functionality on an external tool is extremely easy as you will see below.

Public API  SQLTXADMIN.SQLT$E.XTRACT_SQL_PUT_FILES_IN_DIR inputs a SQL_ID and two other optional parameters: A tag to identify output files, and a directory name. Only SQL_ID parameter is mandatory, and the latter two are optional, but I recommend to pass values for all 3.

I used “Q1” as a tag to be included in all output files. And I used staging directory “FROG_DIR” at the database layer, which points to “/home/oracle/frog” at the OS layer.

On sample below, I show how to use this Public API for a particular SQL_ID “8u0n7w1jug5dg”. I call this API from SQL*Plus, but keep in mind that if I were to call it from within a tool’s PL/SQL library, the method would be the same.

Another consideration is that Public API  SQLTXADMIN.SQLT$E.XTRACT_SQL_PUT_FILES_IN_DIR may take several minutes to execute, so you may want to “queue” the request using a Task or a Job within the database. What is important here on this blog post is to explain and show how this Public API works.

SQLTXADMIN.SQLT$E.XTRACT_SQL_PUT_FILES_IN_DIR parameters:

Find below code snippet showing API Parameters. Notice this API is overloaded, so it may return the STATEMENT_ID or nothing. This STATEMENT_ID is the 5 digits number you see on each SQLT execution.


CREATE OR REPLACE PACKAGE &&tool_administer_schema..sqlt$e AUTHID CURRENT_USER AS
/* $Header: 215187.1 sqcpkge.pks 12.1.03 2013/10/10 carlos.sierra mauro.pagano $ */

  /*************************************************************************************/

  /* -------------------------
   *
   * public xtract_sql_put_files_in_dir
   *
   * executes sqlt xtract on a single sql then
   * puts all generated files into an os directory,
   * returning the sqlt statement id.
   *
   * ------------------------- */
  FUNCTION xtract_sql_put_files_in_dir (
    p_sql_id_or_hash_value IN VARCHAR2,
    p_out_file_identifier  IN VARCHAR2 DEFAULT NULL,
    p_directory_name       IN VARCHAR2 DEFAULT 'SQLT$STAGE' )
  RETURN NUMBER;

  /* -------------------------
   *
   * public xtract_sql_put_files_in_dir (overload)
   *
   * executes sqlt xtract on a single sql then
   * puts all generated files into an os directory.
   *
   * ------------------------- */
  PROCEDURE xtract_sql_put_files_in_dir (
    p_sql_id_or_hash_value IN VARCHAR2,
    p_out_file_identifier  IN VARCHAR2 DEFAULT NULL,
    p_directory_name       IN VARCHAR2 DEFAULT 'SQLT$STAGE' );

Staging Directory

To implement Public API SQLTXADMIN.SQLT$E.XTRACT_SQL_PUT_FILES_IN_DIR on your tool, you need first to create and test a staging directory where the API will write files. This directory needs to be accessible to the “oracle” account, so I show below how to create sample directory “frog” while connected to the OS as “oracle”.

Since the API uses UTL_FILE, it is important that “oracle” can write into it, so be sure you test this UTL_FILE write  after you create the directory and before you test Public API SQLTXADMIN.SQLT$E.XTRACT_SQL_PUT_FILES_IN_DIR.

Use code snippet provided below to test the UTL_FILE writing into this new staging OS directory.

Creating "frog" OS directory connected to OS as "oracle"

Creating “frog” OS directory connected to OS as “oracle”

Creating FROG_DIR database directory and providing access to SQLTXADMIN

Creating FROG_DIR database directory and providing access to SQLTXADMIN

Testing a simple WRITE to FROG_DIR

Testing a simple WRITE to FROG_DIR


DECLARE
  out_file_type UTL_FILE.file_type;
BEGIN
  out_file_type :=
  UTL_FILE.FOPEN (
     location     => 'FROG_DIR',
     filename     => 'Test1.txt',
     open_mode    => 'WB',
     max_linesize => 32767 );
END;
/

Executing SQLTXADMIN.SQLT$E.XTRACT_SQL_PUT_FILES_IN_DIR

On your tool, you can call this SQLT Public API from PL/SQL. You may want to use a Task or Job since the API may take several minutes to execute and you do not want the user to simply wait until SQLT completes.

Execution of Public API SQLTXADMIN.SQLT$E.XTRACT_SQL_PUT_FILES_IN_DIR

Execution of Public API SQLTXADMIN.SQLT$E.XTRACT_SQL_PUT_FILES_IN_DIR

Reviewing the output of SQLT XTRACT for SQL_ID "8u0n7w1jug5dg"

Reviewing the output of SQLT XTRACT for SQL_ID “8u0n7w1jug5dg”

Conclusion

Public API SQLTXADMIN.SQLT$E.XTRACT_SQL_PUT_FILES_IN_DIR is available for any 3rd party tool to use. If SQLT has been pre-installed on a system where your tool executes, then calling this API as shown above, will generate a set of SQLT files on a pre-defined staging OS directory.

If the system where you install your tool does not have SQLT pre-installed, your tool can direct its users to download and install SQLT out of My Oracle Support (MOS) under document 215187.1.

Once you generate all these SQLT XTRACT files into an OS staging directory, you may want to zip them, or make them visible to your tool user. If the latter, then show the “main” html report.

SQLT is an Oracle community tool hosted at Oracle MOS under 215187.1. This tool is not supported, but if you have a question or struggle while implementing this Public API, feel free to shoot me an email or post your question/concern on this blog.

Written by Carlos Sierra

June 30, 2014 at 9:29 am

How to execute eAdam and eDB360

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Both eAdam and eDB360 tools are available at the Enkitec web site under the Products tab. You can download a free copy from there; or maybe you were given by an Enkitec consultant a newer version for you to execute. In any case, the question is: “how do I execute these tools?

Executing eAdam

  1. Take the eadam.zip file and unzip it on your server
  2. Navigate to the top eadam directory which contains a readme.txt and a sql subdirectory
  3. Connect into SQL*Plus as SYS, a DBA account, or a user with access to the Data Dictionary views
  4. Execute START sql/eadam_01_xtr.sql using default values for input parameters. Be aware this tool reads from DBA_HIST views, so you can only use it if you have a license for the Oracle Diagnostics or Tuning Packs

    eadam execution sample

    eadam execution sample

Executing eDB360

  1. Take the edb360.zip file and unzip it on your server
  2. Navigate to top edb360 directory which contains a readme.txt, an edb360.sql script, a run_edb360.sh script and a sql subdirectory
  3. Connect into SQL*Plus as SYS, a DBA account, or a user with access to the Data Dictionary views
  4. Execute START edb360.sql passing values to the input parameters. The first one asks about the Oracle License Pack you have, so respond to this with a “T” if you have the Tuning Pack license, with a “D” if you have the Diagnostics Pack or with an “N” if you don’t have any of these two. For the other parameters about the output format just hit enter or pass a “Y”

    edb360 execution sample

    edb360 execution sample

About the Output

Both of these tools generate an output proportional to the size of the selected objects out of the Data Dictionary and Dynamic Views. So it is common for the output to be large, meaning between 100MB and 1 or 2 GB. I strongly recommend to execute these tools from an staging directory with plenty of space. Plan for 10GB, even if the tool end consuming a lot less.

Another consideration is the time these tool take to execute. They extract everything sequentially and on serial execution, so they do not impose a significant load to your system. But since the amount of metadata they extract is large, they may take more than one hour to execute. I have seen cases where they take 2 or 3 hours, so plan accordingly.

The output of each of these two tools is a compressed file. eAdam produces just a set of CSV files, which will be loaded by the requestor into a stand-alone staging Oracle database for data mining and reporting. eDB360 produces HTML, Text and CSV files. The HTML set is the one that is used the most, while the CSV set is used on Excel or similar tool to produce some Charts.

Conclusion

Executing eAdam or eDB360 is easy, but you need access to Data Dictionary views and a large staging area on disk. So before executing these tools, plan on provision space and time.

Written by Carlos Sierra

March 12, 2014 at 10:52 am

About AWR, SQLT and DB360

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This blog posting is about answering this first question below, which I often get asked:

Can I use SQLTXPLAIN (SQLT) instead of AWR?

The answer is: it depends. If you are doing SQL Tuning and you already know the SQL_ID, then you may want to use SQLT XTRACT (MOS 215187.1) directly on the SQL_ID of concern. But even in that case, keep in mind that SQLT accesses AWR data, so your environment must have a valid license to use the Oracle Diagnostics Pack. In fact, when you install SQLT, it asks if you have the Oracle Tuning Pack, the Oracle Diagnostics Pack or none. Depending how you respond, SQLT access or not the set of views and APIs included on those Oracle Packs. That means you can configure SQLT to access or not AWR data.

What is the difference between AWR and SQLT?

In short, the difference between these two is the scope. You use AWR to diagnose database performance, while you use SQLT to diagnose one SQL. Sometimes I explain this difference by saying: “AWR is to an entire database to what SQLT is to one SQL”. One is for system-wide performance, the other is very centric to one SQL at a time.

Why SQLT exists?

I envisioned SQLT on the late 90’s when I was a road-warrior fighting fires in the area of performance, and in particular SQL performance. I found back then that Oracle-provided tools like TKPROF were excellent, but I always needed something more, like knowing the state of the CBO Statistics, Tables and Indexes, etc.

These days, my good friend Mauro Pagano from Oracle, is keeping the ball rolling. He is keeping SQLT in constant motion, making it a better tool on every new version. So, I would say this: SQLT is filling up some gaps that me, and many others, consider important in order to be diligent on root cause analysis for cases were a SQL performs poorly.

What is DB360?

As SQLT brings to the table several pieces of information that we need for SQL Tuning, and which are not available using out-of-the-box tools like TKPROF or SQL Monitoring, the new DB360 tool is doing something similar for the entire database: It complements  what AWR provides by producing a report with meaningful information about an entire database. This DB360 is a tool that installs nothing on the database, and produces an HTML report with sections such as Configuration, Sizing, CBO Statistics, Performance Trends, etc.

Is DB360 a licensed product?

No. This DB360 tool belongs to Enkitec. It is not yet available to the Oracle community, but it will be soon. Same as SQLT, if you have an Oracle Tuning or Diagnostics Pack, then when you execute DB360 you would get to see in your DB360 report some pieces of information generated out of views and APIs covered by those Oracle Packs, else you get only the pieces which require no Oracle Pack license. Besides the restriction to limit your use of DB360 as per your Oracle Pack license, DB360 itself will be available to the Oracle community for free, and with no strings attached, same as SQLT.

Why are SQLT and DB360 free to download and use?

These tools are simply a contribution to the Oracle community. “Sharing tools is like sharing knowledge: it makes our IT experience more pleasurable”. The only payback comes when you share back with the Oracle community some of your knowledge, or some of your tools and scripts. If you have been a speaker in an Oracle Users Groups, then you may relate to this gratifying experience to share with others what you know. At RMOUG these past 3 days, I have had the opportunity to experience once again this special sense of community, that is always eager to share and to learn from each other.

Conclusion

SQLT complements TKPROF and SQL Monitor. DB360 complements AWR. When it comes to diagnostics, either for one SQL or for an entire Database, having to our disposal additional diagnostics in the context of our analysis, improves our chances to do a diligent job, while reducing the time that it would take to assembly those pieces manually; all with the extra benefit of having these extra diagnostics pieces consistent to a point in time. So, I hope you continue enjoying SQLT and in the near future DB360!

Written by Carlos Sierra

February 7, 2014 at 6:07 pm

Displaying and fixing compilation errors on a SQLTXPLAIN package

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If you are installing SQLTXPLAIN and for some reason you get a PL/SQL compilation error in a SQLT log like the one below, chances are the SHOW ERRORS command on SQL*Plus won’t show the actual error. This is because the installation connects as SYS and the packages are owned by SQLTXADMIN. In most cases the cause of the error is missing a GRANT or a SYNONYM in libraries called by SQLT like DBMS_METADATA or UTL_FILE.

... creating package body for SQLT$R
Warning: Package Body created with compilation errors.
No errors.
...
SELECT column_value libraries FROM TABLE(SQLTXADMIN.sqlt$r.libraries_versions)
ERROR at line 1:
ORA-04063: package body "SQLTXADMIN.SQLT$R" has errors

How to display PL/SQL package compilation error on SQLTXPLAIN

You may need to unlock the schema owner of SQLT packages and compile the invalid object connecting as this SQLTXADMIN account, then lock it back. By following steps below you will get to see the actual compile error. Then proceed to fix it and recompile the invalid package body. If it is a missing GRANT/SYNONYM you may want to create the GRANT EXECUTE of the SYS library to SQLTXADMIN then create a SYNONYM with same name (not a PUBLIC SYNONYM). Ex: GRANT EXECUTE ON SYS.DBMS_METADATA TO SQLTXADMIN; CREATE SYNONYM SQLTXADMIN.DBMS_METADATA FOR SYS.DBMS_METADATA;

$ cd sqlt/install
$ sqlplus / AS SYSDBA
--
SQL> SELECT object_name, object_type FROM dba_objects WHERE owner = 'SQLTXADMIN' AND object_type LIKE 'PACKAGE%' AND status = 'INVALID';
SQL> START sqcommon1.sql
SQL> GRANT CREATE SESSION TO sqltxadmin;
SQL> ALTER USER sqltxadmin IDENTIFIED BY &&password. ACCOUNT UNLOCK;
SQL> CONN sqltxadmin/&&password.;
--
-- compile invalid packages as per query output above
--
SQL> ALTER PACKAGE sqlt$m COMPILE;
SQL> ALTER PACKAGE sqlt$r COMPILE;
--
-- fix root cause of error
--
SQL> CONN / AS SYSDBA
SQL> REVOKE CREATE SESSION FROM sqltxadmin;
SQL> ALTER USER sqltxadmin PASSWORD EXPIRE ACCOUNT LOCK;

Written by Carlos Sierra

June 19, 2013 at 11:50 am