已經一個多月沒有寫東西了，不過最近確實很忙。前兩天在線上碰到一個C3P0的鏈接死鎖的異常，話說這個上古神物 ,我已經是很久不碰了。先貼異常

"apparent deadlocks"：名詞解釋是說c3p0拿到鏈接之后，最終使用之后沒有返回到pool,導致死鏈檢測失敗。經過在stack Overflow檢索,https://stackoverflow.com/questions/3730844/c3p0-apparent-deadlock-when-the-threads-are-all-empty.發現增加一個statementCacheNumDeferredCloseThreads該參數的定義，就可以避免這個問題。

經過查看官方文檔：http://www.mchange.com/projects/c3p0/#statementCacheNumDeferredCloseThreads

解釋：如果把該值設為超過1，statement的緩存就會自動跟蹤當前可用的connections,如果沒有再用，就會自動銷毀掉。如果需要另外的線程來專門銷毀緩存的statement,則還需要設置maxStatements與maxStatementsPerConnection。

再貼一個官方的說明：

Configuring Statement Pooling

c3p0 implements transparent PreparedStatement pooling as defined by the JDBC spec. Under some circumstances, statement pooling can dramatically improve application performance. Under other circumstances, the overhead of statement pooling can slightly harm performance. Whether and how much statement pooling will help depends on how much parsing, planning, and optimizing of queries your databases does when the statements are prepared. Databases (and JDBC drivers) vary widely in this respect. It's a good idea to benchmark your application with and without statement pooling to see if and how much it helps.

You configure statement pooling in c3p0 via the following configuration parameters:

maxStatements

maxStatementsPerConnection

statementCacheNumDeferredCloseThreads

maxStatementsis JDBC's standard parameter for controlling statement pooling.maxStatementsdefines the total numberPreparedStatementsa DataSource will cache. The pool will destroy the least-recently-used PreparedStatement when it hits this limit. This sounds simple, but it's actually a strange approach, because cached statements conceptually belong to individual Connections; they are not global resources. To figure out a size formaxStatementsthat does not "churn" cached statements, you need to consider the number offrequently usedPreparedStatements in your application,and multiply that by the number of Connections you expect in the pool (maxPoolSizein a busy application).

maxStatementsPerConnectionis a non-standard configuration parameter that makes a bit more sense conceptually. It defines how many statements each pooled Connection is allowed to own. You can set this to a bit more than the number ofPreparedStatementsyour applicationfrequentlyuses, to avoid churning.

If either of these parameters are greater than zero, statement pooling will be enabled. If both parameters are greater than zero, both limits will be enforced. If only one is greater than zero, statement pooling will be enabled, but only one limit will be enforced.

大概意思就是這兩個，有一個值如果大于0，c3p0的statement pool就會發生作用。

以上所有的配置都是基于c3p0的最新版本。PS一下，還是2015年的JAR。

通過引入最新的C3P0包，另外增加了兩段配置，線上觀察兩天，問題解決。

最后打個小廣告，JAVA世界最快的JDBC連接池，非HikariCP莫屬。已經甩c3p0好幾個街角，有圖有真像。

     摘要: 在word的處理之中，文字，各種類型的圖片，最復雜的公式，之前編寫的API基本都覆蓋了。不過，昨天在做一個文檔測試時，發現表格沒有能很好的處理。  閱讀全文      摘要: HDFS和MapReduce是Hadoop的兩大核心，除此之外Hbase、Hive這兩個核心工具也隨著Hadoop發展變得越來越重要。今天我們只初步的看看HDFS.  閱讀全文      摘要: 使用thrift已經有段時間了，目前基本是clien+server的方式，負載是通過nginx來處理。這種處理方式有兩個比較大的弊端：  閱讀全文     www.taggerin.com，主要處理日常文檔的在線編輯，以及與Markdown,PDF,html等格式的雙向轉換.聽說內測版本已經發布。真正的文檔在線編輯與預覽。?      摘要: 一般的業務開發，不會涉及到多種數據庫類型的操作。因為，無論是對于開發，還是運維，成本都是非常高的。如果是ORACLE數據庫到MYSQL的數據備份，目前我所了解的開源解決方案有2種：  閱讀全文      摘要: 作為日常支付業務，微信的接入逐漸進入了大家的視野。今天以PC端接入微信支付的基本流程來說明。  閱讀全文