搜尋
首頁資料庫mysql教程Oracle memory troubleshooting, Part 1: Heapdump Analyzer

Oracle memory troubleshooting, Part 1: Heapdump Analyzer by Tanel Poder Posted on January 2, 2009 When troubleshooting Oracle process memory issues like ORA-4030’s or just excessive memory usage, you may want to get a detailed breakdown o

Oracle memory troubleshooting, Part 1: Heapdump Analyzer

by Tanel Poder Posted on January 2, 2009

When troubleshooting Oracle process memory issues like ORA-4030’s or just excessive memory usage, you may want to get a detailed breakdown of PGA, UGA and Call heaps to see which component in there is the largest one.

The same goes for shared pool memory issues and ORA-4031’s – sometimes you need to dump the shared pool heap metadata for understanding what kind of allocations take most of space in there.

The heap dumping can be done using a HEAPDUMP event, see http://www.juliandyke.com/Diagnostics/Dumps/Dumps.html for syntax.

NB! Note that when dumping SGA heaps (like shared, large, java and streams pools), your process holds shared pool latches for the entire dump duration so this should be used only as a last resort in busy production instances. Dumping a big shared pool could hang your instance for quite some time. Dumping private process heaps is safer as that way only the target process is affected.

The heapdump output file structure is actually very simple, all you need to look at is the HEAP DUMP header to see in which heap the following chunks of memory belong (as there may be multiple heaps dumped into a single tracefile).

HEAP DUMP heap name="<strong>sga heap(1,1)</strong>"  desc=04EA22D0
 extent sz=0xfc4 alt=108 het=32767 rec=9 flg=-125 opc=0
 parent=00000000 owner=00000000 nex=00000000 xsz=0x400000
EXTENT 0 addr=20800000
  <strong>Chunk 20800038 sz=   374904    free      "               "</strong>
  Chunk 2085b8b0 sz=      540    recreate  "KGL handles    "  latch=00000000
  Chunk 2085bacc sz=      540    recreate  "KGL handles    "  latch=00000000
  Chunk 2085bce8 sz=     1036    freeable  "parameter table"
  Chunk 2085c0f4 sz=     1036    freeable  "parameter table"
  Chunk 2085c500 sz=     1036    freeable  "parameter table"
  Chunk 2085c90c sz=     1036    freeable  "parameter table"
  Chunk 2085cd18 sz=     1036    freeable  "parameter table"
  Chunk 2085d124 sz=      228    recreate  "KGL handles    "  latch=00000000
  Chunk 2085d208 sz=      228    recreate  "KGL handles    "  latch=00000000
  Chunk 2085d2ec sz=      228    recreate  "KGL handles    "  latch=00000000
  Chunk 2085d3d0 sz=      228    recreate  "KGL handles    "  latch=00000000
  Chunk 2085d4b4 sz=      228    recreate  "KGL handles    "  latch=00000000
  Chunk 2085d598 sz=      540    recreate  "KQR PO         "  latch=2734AA00
  Chunk 2085d7b4 sz=      540    recreate  "KQR PO         "  latch=2734AA00
  Chunk 2085d9d0 sz=      228    recreate  "KGL handles    "  latch=00000000
...

The first list of chunks after HEAP DUMP (the list above) is the list of all chunks in the heap. There are more lists such as freelists and LRU lists in a regular heap, but lets ignore those for now, I’ll write more about heaps in an upcoming post.

After identifying heap name from HEAP DUMP line, you can see all individual chunks from the “Chunk” lines. The second column after Chunk shows the start address of a chunk, sz= means chunk size, the next column shows the type of a chunk (free, freeable, recreate, perm, R-free, R-freeable).

The next column is important one for troublehsooting, it shows the reason why a chunk was allocated (such KGL handles for library cache handles, KGR PO for dictionary cache parent objects etc). Every chunk in a heap has a fixed 16 byte area in the chunk header which stores the allocation reason (comment) of a chunk. Whenever a client layer (calling a kghal* chunk allocation function) allocates heap memory, it needs to pass in a comment up to 16 bytes and it’s stored in the newly allocated chunk header.

This is a trivial technique for troubleshooting memory leaks and other memory allocation problems. When having memory issues you can just dump all the heap’s chunks sizes and aggregate these by allocation reason/comment. That would show you the biggest heap occupier and give further hints where to look next.

As there can be lots of chunks in large heaps, aggregating the data manually would be time consuming (and boring). Here’s a little shell script which can summarize Oracle heapdump output tracefile contents for you:


http://blog.tanelpoder.com/files/scripts/tools/unix/heapdump_analyzer

After taking a heapdump, you just run to get a heap summary, total allocation sizes grouped by parent heap, chunk comment and chunk size.

heapdump_analyzer <em>tracefile.trc</em>

Here’s an example of a shared pool dump analysis (heapdump at level 2):

SQL> alter session set events 'immediate trace name heapdump level 2';

Session altered.

SQL> exit
...

$ <strong>heapdump_analyzer</strong> lin10g_ora_7145.trc

  -- Heapdump Analyzer v1.00 by Tanel Poder ( http://www.tanelpoder.com )

  Total_size #Chunks  Chunk_size,        From_heap,       Chunk_type,  Alloc_reason
  ---------- ------- ------------ ----------------- ----------------- -----------------
    <strong>11943936       3    3981312 ,    sga heap(1,3),             free,
</strong>     3981244       1    3981244 ,    sga heap(1,0),             perm,  perm
     3980656       1    3980656 ,    sga heap(1,0),             perm,  perm
     3980116       1    3980116 ,    sga heap(1,0),             perm,  perm
     3978136       1    3978136 ,    sga heap(1,0),             perm,  perm
     3977156       1    3977156 ,    sga heap(1,1),         recreate,  KSFD SGA I/O b
     3800712       1    3800712 ,    sga heap(1,0),             perm,  perm
     3680560       1    3680560 ,    sga heap(1,0),             perm,  perm
     3518780       1    3518780 ,    sga heap(1,0),             perm,  perm
     3409016       1    3409016 ,    sga heap(1,0),             perm,  perm
     3394124       1    3394124 ,    sga heap(1,0),             perm,  perm
     2475420       1    2475420 ,    sga heap(1,1),             free,
     2319892       1    2319892 ,    sga heap(1,3),             free,
     2084864     509       4096 ,    sga heap(1,3),         freeable,  sql area
...

It shows that the biggest component in shared pool is 11943936 bytes, it consists of 3 free chunks, which reside in shared pool subpool 1 and sub-sub-pool 3 (see the sga heap(1,3) div).

Note that my script is very trivial as of now, it reports different sized chunks on different lines so you still may need to do some manual aggregation if there’s no obvious troublemaker seen in the top of the list.

Here’s an example of a summarized heapdump level 29 ( PGA + UGA + call heaps ):

$ heapdump_analyzer lin10g_ora_7145_0002.trc

  -- Heapdump Analyzer v1.00 by Tanel Poder ( http://www.tanelpoder.com )

  Total_size #Chunks  Chunk_size,        From_heap,       Chunk_type,  Alloc_reason
  ---------- ------- ------------ ----------------- ----------------- -----------------
     7595216     116      65476 ,     top uga heap,         freeable,  session heap
     6779640     105      64568 ,     session heap,         freeable,  kxs-heap-w
     2035808       8     254476 ,         callheap,         freeable,  kllcqas:kllsltb
     1017984       4     254496 ,    top call heap,         freeable,  callheap
      987712       8     123464 ,     top uga heap,         freeable,  session heap
      987552       8     123444 ,     session heap,         freeable,  kxs-heap-w
      196260       3      65420 ,     session heap,         freeable,  kxs-heap-w
      159000       5      31800 ,     session heap,         freeable,  kxs-heap-w
      112320      52       2160 ,         callheap,             free,
       93240     105        888 ,     session heap,             free,
       82200       5      16440 ,     session heap,         freeable,  kxs-heap-w
       65476       1      65476 ,     top uga heap,         recreate,  session heap
       65244       1      65244 ,    top call heap,             free,
       56680      26       2180 ,    top call heap,         freeable,  callheap
       55936       1      55936 ,     session heap,         freeable,  kxs-heap-w
...

You can also use -t option to show total heap sizes in the output (this total is not computed by my script, I just take the “Total” lines from the heapdump tracefile):

$ <strong>heapdump_analyzer -t</strong> lin10g_ora_7145_0002.trc | grep Total
  Total_size #Chunks  Chunk_size,        From_heap,       Chunk_type,  Alloc_reason
     8714788       1    8714788 ,     top uga heap,            TOTAL,  Total heap size
     8653464       1    8653464 ,     session heap,            TOTAL,  Total heap size
     2169328       2    1084664 ,         callheap,            TOTAL,  Total heap size
     1179576       1    1179576 ,    top call heap,            TOTAL,  Total heap size
      191892       1     191892 ,         pga heap,            TOTAL,  Total heap size

References:

  • Metalink note 396940.1 – Troubleshooting and Diagnosing ORA-4031 Error
  • Heapdump syntax – http://www.juliandyke.com/Diagnostics/Dumps/Dumps.html
  • Heapdump analyzer – http://blog.tanelpoder.com/files/scripts/tools/unix/heapdump_analyzer
  • Oracle Memory Troubleshooting, Part 4: Drilling down into PGA memory usage with…
  • Oracle In-Memory Column Store Internals – Part 1 – Which SIMD extensions are getting…
  • Advanced Oracle Troubleshooting Guide – Part 10: Index unique scan doing multiblock reads?!
  • Advanced Oracle Troubleshooting Guide – Part 11: Complex Wait Chain Signature Analysis with…
  • Our take on the Oracle Database 12c In-Memory Option
陳述
本文內容由網友自願投稿,版權歸原作者所有。本站不承擔相應的法律責任。如發現涉嫌抄襲或侵權的內容,請聯絡admin@php.cn
MySQL的位置:數據庫和編程MySQL的位置:數據庫和編程Apr 13, 2025 am 12:18 AM

MySQL在數據庫和編程中的地位非常重要,它是一個開源的關係型數據庫管理系統,廣泛應用於各種應用場景。 1)MySQL提供高效的數據存儲、組織和檢索功能,支持Web、移動和企業級系統。 2)它使用客戶端-服務器架構,支持多種存儲引擎和索引優化。 3)基本用法包括創建表和插入數據,高級用法涉及多表JOIN和復雜查詢。 4)常見問題如SQL語法錯誤和性能問題可以通過EXPLAIN命令和慢查詢日誌調試。 5)性能優化方法包括合理使用索引、優化查詢和使用緩存,最佳實踐包括使用事務和PreparedStatemen

MySQL:從小型企業到大型企業MySQL:從小型企業到大型企業Apr 13, 2025 am 12:17 AM

MySQL適合小型和大型企業。 1)小型企業可使用MySQL進行基本數據管理,如存儲客戶信息。 2)大型企業可利用MySQL處理海量數據和復雜業務邏輯,優化查詢性能和事務處理。

幻影是什麼讀取的,InnoDB如何阻止它們(下一個鍵鎖定)?幻影是什麼讀取的,InnoDB如何阻止它們(下一個鍵鎖定)?Apr 13, 2025 am 12:16 AM

InnoDB通過Next-KeyLocking機制有效防止幻讀。 1)Next-KeyLocking結合行鎖和間隙鎖,鎖定記錄及其間隙,防止新記錄插入。 2)在實際應用中,通過優化查詢和調整隔離級別,可以減少鎖競爭,提高並發性能。

mysql:不是編程語言,而是...mysql:不是編程語言,而是...Apr 13, 2025 am 12:03 AM

MySQL不是一門編程語言,但其查詢語言SQL具備編程語言的特性:1.SQL支持條件判斷、循環和變量操作;2.通過存儲過程、觸發器和函數,用戶可以在數據庫中執行複雜邏輯操作。

MySQL:世界上最受歡迎的數據庫的簡介MySQL:世界上最受歡迎的數據庫的簡介Apr 12, 2025 am 12:18 AM

MySQL是一種開源的關係型數據庫管理系統,主要用於快速、可靠地存儲和檢索數據。其工作原理包括客戶端請求、查詢解析、執行查詢和返回結果。使用示例包括創建表、插入和查詢數據,以及高級功能如JOIN操作。常見錯誤涉及SQL語法、數據類型和權限問題,優化建議包括使用索引、優化查詢和分錶分區。

MySQL的重要性:數據存儲和管理MySQL的重要性:數據存儲和管理Apr 12, 2025 am 12:18 AM

MySQL是一個開源的關係型數據庫管理系統,適用於數據存儲、管理、查詢和安全。 1.它支持多種操作系統,廣泛應用於Web應用等領域。 2.通過客戶端-服務器架構和不同存儲引擎,MySQL高效處理數據。 3.基本用法包括創建數據庫和表,插入、查詢和更新數據。 4.高級用法涉及復雜查詢和存儲過程。 5.常見錯誤可通過EXPLAIN語句調試。 6.性能優化包括合理使用索引和優化查詢語句。

為什麼要使用mysql?利益和優勢為什麼要使用mysql?利益和優勢Apr 12, 2025 am 12:17 AM

選擇MySQL的原因是其性能、可靠性、易用性和社區支持。 1.MySQL提供高效的數據存儲和檢索功能,支持多種數據類型和高級查詢操作。 2.採用客戶端-服務器架構和多種存儲引擎,支持事務和查詢優化。 3.易於使用,支持多種操作系統和編程語言。 4.擁有強大的社區支持,提供豐富的資源和解決方案。

描述InnoDB鎖定機制(共享鎖,獨家鎖,意向鎖,記錄鎖,間隙鎖,下一鍵鎖)。描述InnoDB鎖定機制(共享鎖,獨家鎖,意向鎖,記錄鎖,間隙鎖,下一鍵鎖)。Apr 12, 2025 am 12:16 AM

InnoDB的鎖機制包括共享鎖、排他鎖、意向鎖、記錄鎖、間隙鎖和下一個鍵鎖。 1.共享鎖允許事務讀取數據而不阻止其他事務讀取。 2.排他鎖阻止其他事務讀取和修改數據。 3.意向鎖優化鎖效率。 4.記錄鎖鎖定索引記錄。 5.間隙鎖鎖定索引記錄間隙。 6.下一個鍵鎖是記錄鎖和間隙鎖的組合,確保數據一致性。

See all articles

熱AI工具

Undresser.AI Undress

Undresser.AI Undress

人工智慧驅動的應用程序,用於創建逼真的裸體照片

AI Clothes Remover

AI Clothes Remover

用於從照片中去除衣服的線上人工智慧工具。

Undress AI Tool

Undress AI Tool

免費脫衣圖片

Clothoff.io

Clothoff.io

AI脫衣器

AI Hentai Generator

AI Hentai Generator

免費產生 AI 無盡。

熱門文章

R.E.P.O.能量晶體解釋及其做什麼(黃色晶體)
3 週前By尊渡假赌尊渡假赌尊渡假赌
R.E.P.O.最佳圖形設置
3 週前By尊渡假赌尊渡假赌尊渡假赌
R.E.P.O.如果您聽不到任何人,如何修復音頻
3 週前By尊渡假赌尊渡假赌尊渡假赌
WWE 2K25:如何解鎖Myrise中的所有內容
4 週前By尊渡假赌尊渡假赌尊渡假赌

熱工具

MinGW - Minimalist GNU for Windows

MinGW - Minimalist GNU for Windows

這個專案正在遷移到osdn.net/projects/mingw的過程中,你可以繼續在那裡關注我們。 MinGW:GNU編譯器集合(GCC)的本機Windows移植版本,可自由分發的導入函式庫和用於建置本機Windows應用程式的頭檔;包括對MSVC執行時間的擴展,以支援C99功能。 MinGW的所有軟體都可以在64位元Windows平台上運作。

MantisBT

MantisBT

Mantis是一個易於部署的基於Web的缺陷追蹤工具,用於幫助產品缺陷追蹤。它需要PHP、MySQL和一個Web伺服器。請查看我們的演示和託管服務。

SublimeText3 Mac版

SublimeText3 Mac版

神級程式碼編輯軟體(SublimeText3)

記事本++7.3.1

記事本++7.3.1

好用且免費的程式碼編輯器

SublimeText3漢化版

SublimeText3漢化版

中文版,非常好用