在这篇文章中，我们将为您详细介绍Java服务器挂掉很频繁的内容，并且讨论关于java服务经常自己挂的相关问题。此外，我们还会涉及一些关于4-1如何定义Java中的方法；Java中无参无返回值方法的使用
在这篇文章中，我们将为您详细介绍Java 服务器挂掉 很频繁的内容，并且讨论关于java服务经常自己挂的相关问题。此外，我们还会涉及一些关于4-1 如何定义 Java 中的方法；Java 中无参无返回值方法的使用；Java 中无参带返回值方法的使用；、5-2 Java 中的 static 使用之静态变量 ;;Java 中的 static 使用之静态方法;;Java 中的 static 使用之静态初始化块、ArrayMap java.lang.ClassCastException: java.lang.String cannot be cast to java.lang.Object[]、Elasticsearch Java client（ES Client 简介、Java REST Client、Java Client、Spring Data Elasticsearch）的知识，以帮助您更全面地了解这个主题。
本文目录一览：- Java 服务器挂掉 很频繁（java服务经常自己挂）
- 4-1 如何定义 Java 中的方法；Java 中无参无返回值方法的使用；Java 中无参带返回值方法的使用；
- 5-2 Java 中的 static 使用之静态变量 ;;Java 中的 static 使用之静态方法;;Java 中的 static 使用之静态初始化块
- ArrayMap java.lang.ClassCastException: java.lang.String cannot be cast to java.lang.Object[]
- Elasticsearch Java client（ES Client 简介、Java REST Client、Java Client、Spring Data Elasticsearch）
Java 服务器挂掉 很频繁（java服务经常自己挂）
直接上错误日志
#
# A fatal error has been detected by the Java Runtime Environment:
#
# java.lang.OutOfMemoryError: requested 93568 bytes for Chunk::new. Out of swap space?
#
# Internal Error (allocation.cpp:215), pid=17980, tid=713251696
# Error: Chunk::new
#
# JRE version: 6.0_20-b02
# Java VM: Java HotSpot(TM) Server VM (16.3-b01 mixed mode linux-x86 )
# If you would like to submit a bug report, please visit:
# http://java.sun.com/webapps/bugreport/crash.jsp
#
--------------- T H R E A D ---------------
Current thread (0x2ac05c00): JavaThread "CompilerThread1" daemon [_thread_in_native, id=17995, stack(0x2a7b5000,0x2a836000)]
Stack: [0x2a7b5000,0x2a836000], sp=0x2a832fd0, free space=1f72a836000k
Native frames: (J=compiled Java code, j=interpreted, Vv=VM code, C=native code)
V [libjvm.so+0x68c972]
V [libjvm.so+0x2a506f]
V [libjvm.so+0x12c2ac]
V [libjvm.so+0x12c7a6]
V [libjvm.so+0x5b9fb0]
V [libjvm.so+0x2e9e0b]
V [libjvm.so+0x4e4312]
V [libjvm.so+0x26ed7f]
V [libjvm.so+0x26b97f]
V [libjvm.so+0x203d97]
V [libjvm.so+0x27426c]
V [libjvm.so+0x273b79]
V [libjvm.so+0x653946]
V [libjvm.so+0x64cfde]
V [libjvm.so+0x55f24e]
C [libpthread.so.0+0x580e]
Current CompileTask:
C2:2262 ! x2.svc.page.BuildingI.getArray(Ljava/util/Map;)Ljava/util/Map; (536 bytes)
--------------- P R O C E S S ---------------
Java Threads: ( => current thread )
0x1c5f8800 JavaThread "pool-1-thread-393" [_thread_blocked, id=18889, stack(0x25778000,0x257c9000)]
0x04df7400 JavaThread "pool-1-thread-388" [_thread_blocked, id=18884, stack(0x25727000,0x25778000)]
0x29e34800 JavaThread "pool-1-thread-366" [_thread_blocked, id=18862, stack(0x1b00d000,0x1b05e000)]
0x09827c00 JavaThread "RMI TCP Connection(77)-122.70.132.37" daemon [_thread_in_native, id=18839, stack(0x01e5e000,0x01eaf000)]
0xbedf4800 JavaThread "pool-10-thread-1" [_thread_blocked, id=18826, stack(0x01eaf000,0x01f00000)]
0x09b40400 JavaThread "RMI TCP Connection(76)-122.70.132.37" daemon [_thread_in_native, id=18562, stack(0x01e0d000,0x01e5e000)]
0x09d48000 JavaThread "SinglePool.pool-1-thread-1" daemon [_thread_blocked, id=18199, stack(0x255e3000,0x25634000)]
0x2a12e400 JavaThread "pool-9-thread-8" [_thread_blocked, id=18179, stack(0x25b5e000,0x25baf000)]
0x29a38400 JavaThread "pool-9-thread-7" [_thread_blocked, id=18178, stack(0x25baf000,0x25c00000)]
0x2a1f5400 JavaThread "pool-9-thread-6" [_thread_blocked, id=18177, stack(0x25f41000,0x25f92000)]
0x2a2aec00 JavaThread "pool-9-thread-5" [_thread_blocked, id=18176, stack(0x25f92000,0x25fe3000)]
0x2a264800 JavaThread "pool-9-thread-4" [_thread_blocked, id=18175, stack(0x25fe3000,0x26034000)]
0x2a2bec00 JavaThread "pool-9-thread-3" [_thread_blocked, id=18174, stack(0x26034000,0x26085000)]
0x0a21f000 JavaThread "pool-9-thread-2" [_thread_blocked, id=18173, stack(0x26085000,0x260d6000)]
0x29f9b000 JavaThread "pool-9-thread-1" [_thread_blocked, id=18171, stack(0x26127000,0x26178000)]
0x2a12f400 JavaThread "http-nio-10081-Acceptor-0" daemon [_thread_in_native, id=18165, stack(0x2626b000,0x262bc000)]
0x2a148400 JavaThread "http-nio-10081-ClientPoller-7" daemon [_thread_in_native, id=18164, stack(0x262bc000,0x2630d000)]
0x2a146c00 JavaThread "http-nio-10081-ClientPoller-6" daemon [_thread_in_native, id=18163, stack(0x2630d000,0x2635e000)]
0x2a145400 JavaThread "http-nio-10081-ClientPoller-5" daemon [_thread_in_native, id=18162, stack(0x2635e000,0x263af000)]
0x2ac59800 JavaThread "http-nio-10081-ClientPoller-4" daemon [_thread_in_native, id=18161, stack(0x263af000,0x26400000)]
0x2ac58000 JavaThread "http-nio-10081-ClientPoller-3" daemon [_thread_in_native, id=18160, stack(0x26400000,0x26451000)]
0x29e33800 JavaThread "http-nio-10081-ClientPoller-2" daemon [_thread_in_native, id=18159, stack(0x26451000,0x264a2000)]
0x29e32800 JavaThread "http-nio-10081-ClientPoller-1" daemon [_thread_in_native, id=18158, stack(0x264a2000,0x264f3000)]
0x2a4de800 JavaThread "http-nio-10081-ClientPoller-0" daemon [_thread_in_native, id=18157, stack(0x264f3000,0x26544000)]
0x29fcdc00 JavaThread "NioBlockingSelector.BlockPoller-1" daemon [_thread_in_native, id=18156, stack(0x26544000,0x26595000)]
0x0a377400 JavaThread "Thread-2" [_thread_in_native, id=18155, stack(0x26595000,0x265e6000)]
0x0a47f000 JavaThread "RMI RenewClean-[122.70.132.37:47896]" daemon [_thread_blocked, id=18153, stack(0x26637000,0x26688000)]
0x09cf0000 JavaThread "RMI Scheduler(0)" daemon [_thread_blocked, id=18152, stack(0x26688000,0x266d9000)]
0x0a2e3400 JavaThread "RMI TCP Accept-10082" daemon [_thread_in_native, id=18150, stack(0x2672a000,0x2677b000)]
0x09b45400 JavaThread "GC Daemon" daemon [_thread_blocked, id=18149, stack(0x2677b000,0x267cc000)]
0x0a2ecc00 JavaThread "RMI Reaper" [_thread_blocked, id=18148, stack(0x267cc000,0x2681d000)]
0x2a169c00 JavaThread "RMI TCP Accept-0" daemon [_thread_in_native, id=18147, stack(0x2681d000,0x2686e000)]
0x2a2cb400 JavaThread "pool-8-thread-6" [_thread_blocked, id=18146, stack(0x2686e000,0x268bf000)]
0x2a2c9c00 JavaThread "pool-8-thread-5" [_thread_blocked, id=18145, stack(0x268bf000,0x26910000)]
0x2a0f6000 JavaThread "pool-8-thread-4" [_thread_blocked, id=18144, stack(0x26910000,0x26961000)]
0x2a0f4800 JavaThread "pool-8-thread-3" [_thread_blocked, id=18143, stack(0x26961000,0x269b2000)]
0x2a0f3800 JavaThread "pool-8-thread-2" [_thread_blocked, id=18142, stack(0x269b2000,0x26a03000)]
0x2a0f1000 JavaThread "pool-8-thread-1" [_thread_blocked, id=18141, stack(0x26a03000,0x26a54000)]
0x2a0ef800 JavaThread "ScheduledPool.pool-3-thread-34" daemon [_thread_blocked, id=18140, stack(0x26a54000,0x26aa5000)]
0x2a0ee000 JavaThread "ScheduledPool.pool-3-thread-33" daemon [_thread_blocked, id=18139, stack(0x26aa5000,0x26af6000)]
0x2a0ec800 JavaThread "ScheduledPool.pool-3-thread-32" daemon [_thread_blocked, id=18138, stack(0x26af6000,0x26b47000)]
0x2a0eb000 JavaThread "ScheduledPool.pool-3-thread-31" daemon [_thread_blocked, id=18137, stack(0x26b47000,0x26b98000)]
0x2a2d8800 JavaThread "ScheduledPool.pool-3-thread-30" daemon [_thread_blocked, id=18136, stack(0x26b98000,0x26be9000)]
0x2a2d7000 JavaThread "ScheduledPool.pool-3-thread-29" daemon [_thread_blocked, id=18135, stack(0x26be9000,0x26c3a000)]
0x2a2d5800 JavaThread "ScheduledPool.pool-3-thread-28" daemon [_thread_blocked, id=18134, stack(0x26c3a000,0x26c8b000)]
0x2a2d4000 JavaThread "ScheduledPool.pool-3-thread-27" daemon [_thread_blocked, id=18133, stack(0x26c8b000,0x26cdc000)]
0x2a2d2800 JavaThread "ScheduledPool.pool-3-thread-26" daemon [_thread_blocked, id=18132, stack(0x26cdc000,0x26d2d000)]
0x2a173400 JavaThread "ScheduledPool.pool-3-thread-25" daemon [_thread_blocked, id=18131, stack(0x26d2d000,0x26d7e000)]
0x2a171c00 JavaThread "ScheduledPool.pool-3-thread-24" daemon [_thread_blocked, id=18130, stack(0x26d7e000,0x26dcf000)]
0x2a170400 JavaThread "ScheduledPool.pool-3-thread-23" daemon [_thread_blocked, id=18129, stack(0x26dcf000,0x26e20000)]
0x2a16ec00 JavaThread "ScheduledPool.pool-3-thread-22" daemon [_thread_blocked, id=18128, stack(0x26e20000,0x26e71000)]
0x2a16d400 JavaThread "ScheduledPool.pool-3-thread-21" daemon [_thread_blocked, id=18127, stack(0x26e71000,0x26ec2000)]
0x2a15f800 JavaThread "ScheduledPool.pool-3-thread-20" daemon [_thread_blocked, id=18126, stack(0x26ec2000,0x26f13000)]
0x2a15e000 JavaThread "ScheduledPool.pool-3-thread-19" daemon [_thread_blocked, id=18125, stack(0x26f13000,0x26f64000)]
0x2a15c800 JavaThread "ScheduledPool.pool-3-thread-18" daemon [_thread_blocked, id=18124, stack(0x26f64000,0x26fb5000)]
0x2a15b400 JavaThread "ScheduledPool.pool-3-thread-17" daemon [_thread_blocked, id=18123, stack(0x26fb5000,0x27006000)]
0x2a159c00 JavaThread "ScheduledPool.pool-3-thread-16" daemon [_thread_blocked, id=18122, stack(0x27006000,0x27057000)]
0x2a0fa400 JavaThread "ScheduledPool.pool-3-thread-15" daemon [_thread_blocked, id=18121, stack(0x27057000,0x270a8000)]
0x2a0f8c00 JavaThread "ScheduledPool.pool-3-thread-14" daemon [_thread_blocked, id=18120, stack(0x270a8000,0x270f9000)]
0x2a0f7800 JavaThread "ScheduledPool.pool-3-thread-13" daemon [_thread_blocked, id=18119, stack(0x270f9000,0x2714a000)]
0x29f9f000 JavaThread "ScheduledPool.pool-3-thread-12" daemon [_thread_blocked, id=18118, stack(0x2714a000,0x2719b000)]
0x29f9d800 JavaThread "ScheduledPool.pool-3-thread-11" daemon [_thread_blocked, id=18117, stack(0x2719b000,0x271ec000)]
0x29f9c400 JavaThread "ScheduledPool.pool-3-thread-10" daemon [_thread_blocked, id=18116, stack(0x271ec000,0x2723d000)]
0x29fa2000 JavaThread "ScheduledPool.pool-3-thread-9" daemon [_thread_blocked, id=18115, stack(0x2723d000,0x2728e000)]
0x2a0a7000 JavaThread "ScheduledPool.pool-3-thread-8" daemon [_thread_blocked, id=18114, stack(0x2728e000,0x272df000)]
0x2acf9000 JavaThread "ScheduledPool.pool-3-thread-7" daemon [_thread_blocked, id=18113, stack(0x272df000,0x27330000)]
0x2a0a5800 JavaThread "ScheduledPool.pool-3-thread-6" daemon [_thread_blocked, id=18112, stack(0x27330000,0x27381000)]
0x09824000 JavaThread "ScheduledPool.pool-3-thread-5" daemon [_thread_blocked, id=18111, stack(0x27381000,0x273d2000)]
0x0a2e7000 JavaThread "ScheduledPool.pool-3-thread-4" daemon [_thread_blocked, id=18110, stack(0x273d2000,0x27423000)]
0x2a0ac000 JavaThread "pool-3-thread-64" [_thread_blocked, id=18107, stack(0x27423000,0x27474000)]
0x2a0aa000 JavaThread "pool-3-thread-63" [_thread_blocked, id=18106, stack(0x27474000,0x274c5000)]
0x2acf4000 JavaThread "pool-3-thread-62" [_thread_blocked, id=18105, stack(0x274c5000,0x27516000)]
0x2acf3000 JavaThread "pool-3-thread-61" [_thread_blocked, id=18104, stack(0x27516000,0x27567000)]
0x2acf2000 JavaThread "pool-3-thread-60" [_thread_blocked, id=18103, stack(0x27567000,0x275b8000)]
0x2acf0c00 JavaThread "pool-3-thread-59" [_thread_blocked, id=18102, stack(0x275b8000,0x27609000)]
0x29ec9400 JavaThread "pool-3-thread-58" [_thread_blocked, id=18101, stack(0x27609000,0x2765a000)]
0x29ec7c00 JavaThread "pool-3-thread-57" [_thread_blocked, id=18100, stack(0x2765a000,0x276ab000)]
0x29ec6400 JavaThread "pool-3-thread-56" [_thread_blocked, id=18099, stack(0x276ab000,0x276fc000)]
0x29ec5000 JavaThread "pool-3-thread-55" [_thread_blocked, id=18098, stack(0x276fc000,0x2774d000)]
0x29ec3c00 JavaThread "pool-3-thread-54" [_thread_blocked, id=18097, stack(0x2774d000,0x2779e000)]
0x29ec3000 JavaThread "pool-3-thread-53" [_thread_blocked, id=18096, stack(0x2779e000,0x277ef000)]
0x2a357800 JavaThread "pool-7-thread-8" [_thread_blocked, id=18095, stack(0x277ef000,0x27840000)]
0x2a356400 JavaThread "pool-7-thread-7" [_thread_blocked, id=18094, stack(0x27840000,0x27891000)]
0x2a354c00 JavaThread "pool-7-thread-6" [_thread_blocked, id=18093, stack(0x27891000,0x278e2000)]
0x2a353400 JavaThread "pool-7-thread-5" [_thread_blocked, id=18092, stack(0x278e2000,0x27933000)]
0x2a351c00 JavaThread "pool-7-thread-4" [_thread_blocked, id=18091, stack(0x27933000,0x27984000)]
0x2a34c800 JavaThread "pool-7-thread-3" [_thread_blocked, id=18090, stack(0x27984000,0x279d5000)]
0x2a34b400 JavaThread "pool-7-thread-2" [_thread_blocked, id=18089, stack(0x279d5000,0x27a26000)]
0x2a34f000 JavaThread "pool-7-thread-1" [_thread_blocked, id=18088, stack(0x27a26000,0x27a77000)]
0x2a348c00 JavaThread "ScheduledPool.pool-3-thread-3" daemon [_thread_blocked, id=18087, stack(0x27a77000,0x27ac8000)]
0x2acb1400 JavaThread "pool-3-thread-52" [_thread_blocked, id=18086, stack(0x27ac8000,0x27b19000)]
0x2acafc00 JavaThread "pool-3-thread-51" [_thread_blocked, id=18085, stack(0x27b19000,0x27b6a000)]
0x2acae400 JavaThread "pool-3-thread-50" [_thread_blocked, id=18084, stack(0x27b6a000,0x27bbb000)]
0x2acacc00 JavaThread "pool-3-thread-49" [_thread_blocked, id=18083, stack(0x27bbb000,0x27c0c000)]
0x2aca4c00 JavaThread "pool-3-thread-48" [_thread_blocked, id=18082, stack(0x27c0c000,0x27c5d000)]
0x2aca3400 JavaThread "pool-3-thread-47" [_thread_blocked, id=18081, stack(0x27c5d000,0x27cae000)]
0x2aca1c00 JavaThread "pool-3-thread-46" [_thread_blocked, id=18080, stack(0x27cae000,0x27cff000)]
0x2aca0400 JavaThread "pool-3-thread-45" [_thread_blocked, id=18079, stack(0x27cff000,0x27d50000)]
0x2ac9ec00 JavaThread "pool-3-thread-44" [_thread_blocked, id=18078, stack(0x27d50000,0x27da1000)]
0x29a0c400 JavaThread "pool-3-thread-43" [_thread_blocked, id=18077, stack(0x27da1000,0x27df2000)]
0x29a0b000 JavaThread "pool-3-thread-42" [_thread_blocked, id=18076, stack(0x27df2000,0x27e43000)]
0x29a09800 JavaThread "pool-3-thread-41" [_thread_blocked, id=18075, stack(0x27e43000,0x27e94000)]
0x29a08400 JavaThread "pool-3-thread-40" [_thread_blocked, id=18074, stack(0x27e94000,0x27ee5000)]
0x2a191c00 JavaThread "pool-3-thread-39" [_thread_blocked, id=18073, stack(0x27ee5000,0x27f36000)]
0x2a190400 JavaThread "pool-6-thread-8" [_thread_blocked, id=18072, stack(0x27f36000,0x27f87000)]
0x2a18ec00 JavaThread "pool-6-thread-7" [_thread_blocked, id=18071, stack(0x27f87000,0x27fd8000)]
0x29edcc00 JavaThread "pool-6-thread-6" [_thread_blocked, id=18070, stack(0x27fd8000,0x28029000)]
0x29edb400 JavaThread "pool-6-thread-5" [_thread_blocked, id=18069, stack(0x28029000,0x2807a000)]
0x2ace3800 JavaThread "pool-6-thread-4" [_thread_blocked, id=18068, stack(0x2807a000,0x280cb000)]
0x2ace2400 JavaThread "pool-6-thread-3" [_thread_blocked, id=18067, stack(0x280cb000,0x2811c000)]
0x2ace1c00 JavaThread "pool-6-thread-2" [_thread_blocked, id=18066, stack(0x2811c000,0x2816d000)]
0x2a2e2c00 JavaThread "pool-6-thread-1" [_thread_blocked, id=18065, stack(0x2816d000,0x281be000)]
0x2a2e1c00 JavaThread "pool-3-thread-38" [_thread_blocked, id=18064, stack(0x281be000,0x2820f000)]
0x29a3a400 JavaThread "pool-3-thread-37" [_thread_blocked, id=18063, stack(0x2820f000,0x28260000)]
0x29a17400 JavaThread "pool-5-thread-8" [_thread_blocked, id=18062, stack(0x28260000,0x282b1000)]
0x29a70c00 JavaThread "pool-5-thread-7" [_thread_blocked, id=18061, stack(0x282b1000,0x28302000)]
0x29f12400 JavaThread "pool-5-thread-6" [_thread_blocked, id=18060, stack(0x28302000,0x28353000)]
0x2a416000 JavaThread "pool-5-thread-5" [_thread_blocked, id=18059, stack(0x28353000,0x283a4000)]
0x2a1fb800 JavaThread "pool-5-thread-4" [_thread_blocked, id=18058, stack(0x283a4000,0x283f5000)]
0x0a2d8c00 JavaThread "pool-5-thread-3" [_thread_blocked, id=18057, stack(0x283f5000,0x28446000)]
0x0a2d7400 JavaThread "pool-5-thread-2" [_thread_blocked, id=18056, stack(0x28446000,0x28497000)]
0x0a2d5c00 JavaThread "pool-5-thread-1" [_thread_blocked, id=18055, stack(0x28497000,0x284e8000)]
0x0a2d4000 JavaThread "pool-3-thread-36" [_thread_blocked, id=18054, stack(0x284e8000,0x28539000)]
0x0a2d2800 JavaThread "pool-3-thread-35" [_thread_blocked, id=18053, stack(0x28539000,0x2858a000)]
0x0a2d1000 JavaThread "pool-3-thread-34" [_thread_blocked, id=18052, stack(0x2858a000,0x285db000)]
0x0a2cf400 JavaThread "pool-3-thread-33" [_thread_blocked, id=18051, stack(0x285db000,0x2862c000)]
0x097ba400 JavaThread "pool-3-thread-32" [_thread_blocked, id=18050, stack(0x2862c000,0x2867d000)]
0x0a2cc000 JavaThread "pool-3-thread-31" [_thread_blocked, id=18049, stack(0x2867d000,0x286ce000)]
0x09875000 JavaThread "pool-3-thread-30" [_thread_blocked, id=18048, stack(0x286ce000,0x2871f000)]
0x09873800 JavaThread "pool-3-thread-29" [_thread_blocked, id=18047, stack(0x2871f000,0x28770000)]
0x09872000 JavaThread "pool-3-thread-28" [_thread_blocked, id=18046, stack(0x28770000,0x287c1000)]
0x09870400 JavaThread "pool-3-thread-27" [_thread_blocked, id=18045, stack(0x287c1000,0x28812000)]
0x0986ec00 JavaThread "pool-3-thread-26" [_thread_blocked, id=18044, stack(0x28812000,0x28863000)]
0x0986d400 JavaThread "pool-3-thread-25" [_thread_blocked, id=18043, stack(0x28863000,0x288b4000)]
0x0986b800 JavaThread "pool-3-thread-24" [_thread_blocked, id=18042, stack(0x288b4000,0x28905000)]
0x0986a000 JavaThread "pool-3-thread-23" [_thread_blocked, id=18041, stack(0x28905000,0x28956000)]
0x09789c00 JavaThread "pool-3-thread-22" [_thread_blocked, id=18040, stack(0x28956000,0x289a7000)]
0x09788000 JavaThread "pool-3-thread-21" [_thread_blocked, id=18039, stack(0x289a7000,0x289f8000)]
0x09786800 JavaThread "pool-3-thread-20" [_thread_blocked, id=18038, stack(0x289f8000,0x28a49000)]
0x09785000 JavaThread "pool-3-thread-19" [_thread_blocked, id=18037, stack(0x28a49000,0x28a9a000)]
0x09783400 JavaThread "pool-3-thread-18" [_thread_blocked, id=18036, stack(0x28a9a000,0x28aeb000)]
0x09781c00 JavaThread "pool-3-thread-17" [_thread_blocked, id=18035, stack(0x28aeb000,0x28b3c000)]
0x09780000 JavaThread "pool-4-thread-8" [_thread_blocked, id=18034, stack(0x28b3c000,0x28b8d000)]
0x098d9c00 JavaThread "pool-4-thread-7" [_thread_blocked, id=18033, stack(0x28b8d000,0x28bde000)]
0x098d8400 JavaThread "pool-4-thread-6" [_thread_blocked, id=18032, stack(0x28bde000,0x28c2f000)]
0x098d6800 JavaThread "pool-4-thread-5" [_thread_blocked, id=18031, stack(0x28c2f000,0x28c80000)]
0x098d5000 JavaThread "pool-4-thread-4" [_thread_blocked, id=18030, stack(0x28c80000,0x28cd1000)]
0x098d3800 JavaThread "pool-4-thread-3" [_thread_blocked, id=18029, stack(0x28cd1000,0x28d22000)]
0x098d2000 JavaThread "pool-4-thread-2" [_thread_blocked, id=18028, stack(0x28d22000,0x28d73000)]
0x098d0400 JavaThread "pool-4-thread-1" [_thread_blocked, id=18027, stack(0x28d73000,0x28dc4000)]
0x0963a400 JavaThread "pool-3-thread-16" [_thread_blocked, id=18026, stack(0x28dc4000,0x28e15000)]
0x09638c00 JavaThread "pool-3-thread-15" [_thread_blocked, id=18025, stack(0x28e15000,0x28e66000)]
0x09637000 JavaThread "pool-3-thread-14" [_thread_blocked, id=18024, stack(0x28e66000,0x28eb7000)]
0x09635800 JavaThread "pool-3-thread-13" [_thread_blocked, id=18023, stack(0x28eb7000,0x28f08000)]
0x09634000 JavaThread "pool-3-thread-12" [_thread_blocked, id=18022, stack(0x28f08000,0x28f59000)]
0x097be400 JavaThread "pool-3-thread-11" [_thread_blocked, id=18021, stack(0x28f59000,0x28faa000)]
0x097bcc00 JavaThread "pool-3-thread-10" [_thread_blocked, id=18020, stack(0x28faa000,0x28ffb000)]
0x097bb000 JavaThread "pool-3-thread-9" [_thread_blocked, id=18019, stack(0x28ffb000,0x2904c000)]
0x0a0d8800 JavaThread "pool-3-thread-8" [_thread_blocked, id=18018, stack(0x2904c000,0x2909d000)]
0x097b7c00 JavaThread "pool-3-thread-7" [_thread_blocked, id=18017, stack(0x2909d000,0x290ee000)]
0x0a0d9400 JavaThread "pool-3-thread-6" [_thread_blocked, id=18016, stack(0x290ee000,0x2913f000)]
0x0a0d8000 JavaThread "pool-3-thread-5" [_thread_blocked, id=18015, stack(0x29b2c000,0x29b7d000)]
0x0a0d7000 JavaThread "pool-3-thread-4" [_thread_blocked, id=18014, stack(0x29b7d000,0x29bce000)]
0x0a2c9800 JavaThread "pool-3-thread-3" [_thread_blocked, id=18013, stack(0x29c6b000,0x29cbc000)]
0x0a2c8800 JavaThread "pool-3-thread-2" [_thread_blocked, id=18012, stack(0x29cbc000,0x29d0d000)]
0x0a2c7800 JavaThread "pool-3-thread-1" [_thread_blocked, id=18011, stack(0x29d0d000,0x29d5e000)]
0x0a2fb400 JavaThread "pool-2-thread-1" [_thread_blocked, id=18010, stack(0x29d5e000,0x29daf000)]
0x0a0d4800 JavaThread "ScheduledPool.pool-3-thread-2" daemon [_thread_blocked, id=18009, stack(0x29daf000,0x29e00000)]
0x0983b800 JavaThread "ScheduledPool.pool-3-thread-1" daemon [_thread_blocked, id=18008, stack(0x2a598000,0x2a5e9000)]
0x2a41a400 JavaThread "MySQL Statement Cancellation Timer" daemon [_thread_blocked, id=17998, stack(0x29bce000,0x29c1f000)]
0x09707000 JavaThread "Low Memory Detector" daemon [_thread_blocked, id=17996, stack(0x2a764000,0x2a7b5000)]
=>0x2ac05c00 JavaThread "CompilerThread1" daemon [_thread_in_native, id=17995, stack(0x2a7b5000,0x2a836000)]
0x2ac03c00 JavaThread "CompilerThread0" daemon [_thread_blocked, id=17994, stack(0x2a836000,0x2a8b7000)]
0x09704c00 JavaThread "Signal Dispatcher" daemon [_thread_blocked, id=17993, stack(0x2a8b7000,0x2a908000)]
0x096f3c00 JavaThread "Finalizer" daemon [_thread_blocked, id=17992, stack(0x2a947000,0x2a998000)]
0x096f2000 JavaThread "Reference Handler" daemon [_thread_blocked, id=17991, stack(0x2a998000,0x2a9e9000)]
0x0960c000 JavaThread "main" [_thread_blocked, id=17981, stack(0xb69f6000,0xb6a47000)]
Other Threads:
0x096ef800 VMThread [stack: 0x2a9e9000,0x2aa6a000] [id=17990]
0x09708c00 WatcherThread [stack: 0x2a6e3000,0x2a764000] [id=17997]
VM state:not at safepoint (normal execution)
VM Mutex/Monitor currently owned by a thread: None
Heap
PSYoungGen total 647936K, used 562480K [0x88e00000, 0xb38a0000, 0xb38a0000)
eden space 594944K, 94% used [0x88e00000,0xab34c2e8,0xad300000)
from space 52992K, 0% used [0xb04e0000,0xb04e0000,0xb38a0000)
to space 51072K, 0% used [0xad300000,0xad300000,0xb04e0000)
PSOldGen total 1398144K, used 878751K [0x338a0000, 0x88e00000, 0x88e00000)
object space 1398144K, 62% used [0x338a0000,0x692c7d90,0x88e00000)
PSPermGen total 46976K, used 30943K [0x2b8a0000, 0x2e680000, 0x338a0000)
object space 46976K, 65% used [0x2b8a0000,0x2d6d7fb0,0x2e680000)
Dynamic libraries:
00010000-00100000 rwxp 00000000 00:00 0
00100000-001f1000 rwxp 00000000 00:00 0
001f1000-00200000 ---p 00000000 00:00 0
00200000-002f1000 rwxp 00000000 00:00 0
002f1000-00300000 ---p 00000000 00:00 0
00300000-003f1000 rwxp 00000000 00:00 0
003f1000-00400000 ---p 00000000 00:00 0
00400000-004f1000 rwxp 00000000 00:00 0
004f1000-00500000 ---p 00000000 00:00 0
00500000-005f1000 rwxp 00000000 00:00 0
005f1000-00600000 ---p 00000000 00:00 0
00600000-006f1000 rwxp 00000000 00:00 0
006f1000-00700000 ---p 00000000 00:00 0
00700000-007f1000 rwxp 00000000 00:00 0
007f1000-00800000 ---p 00000000 00:00 0
00800000-008f1000 rwxp 00000000 00:00 0
008f1000-00900000 ---p 00000000 00:00 0
00900000-009f1000 rwxp 00000000 00:00 0
009f1000-00a00000 ---p 00000000 00:00 0
00a00000-00af1000 rwxp 00000000 00:00 0
00af1000-00b00000 ---p 00000000 00:00 0
00b00000-00bf1000 rwxp 00000000 00:00 0
00bf1000-00c00000 ---p 00000000 00:00 0
00c00000-00cf1000 rwxp 00000000 00:00 0
00cf1000-00d00000 ---p 00000000 00:00 0
00d00000-00df1000 rwxp 00000000 00:00 0
00df1000-00e00000 ---p 00000000 00:00 0
00e00000-00ef1000 rwxp 00000000 00:00 0
00ef1000-00f00000 ---p 00000000 00:00 0
00f00000-00ff1000 rwxp 00000000 00:00 0
00ff1000-01000000 ---p 00000000 00:00 0
01000000-010f1000 rwxp 00000000 00:00 0
010f1000-01100000 ---p 00000000 00:00 0
01100000-011f1000 rwxp 00000000 00:00 0
011f1000-01200000 ---p 00000000 00:00 0
01200000-012f1000 rwxp 00000000 00:00 0
012f1000-01300000 ---p 00000000 00:00 0
01300000-013f1000 rwxp 00000000 00:00 0
013f1000-01400000 ---p 00000000 00:00 0
01400000-014f1000 rwxp 00000000 00:00 0
014f1000-01500000 ---p 00000000 00:00 0
01500000-015f1000 rwxp 00000000 00:00 0
015f1000-01600000 ---p 00000000 00:00 0
01600000-016f1000 rwxp 00000000 00:00 0
016f1000-01700000 ---p 00000000 00:00 0
01700000-01b00000 rwxp 00000000 00:00 0
01b00000-01bf7000 rwxp 00000000 00:00 0
01bf7000-01c00000 ---p 00000000 00:00 0
01c00000-01cf1000 rwxp 00000000 00:00 0
01cf1000-01d00000 ---p 00000000 00:00 0
01d00000-01df8000 rwxp 00000000 00:00 0
01df8000-01e00000 ---p 00000000 00:00 0
01e01000-01e0d000 rwxp 00000000 00:00 0
01e0d000-01e10000 ---p 00000000 00:00 0
01e10000-01e5e000 rwxp 00000000 00:00 0
01e5e000-01e61000 ---p 00000000 00:00 0
01e61000-01eaf000 rwxp 00000000 00:00 0
01eaf000-01eb2000 ---p 00000000 00:00 0
01eb2000-01f00000 rwxp 00000000 00:00 0
01f00000-01ff6000 rwxp 00000000 00:00 0
01ff6000-02000000 ---p 00000000 00:00 0
02000000-020f5000 rwxp 00000000 00:00 0
020f5000-02100000 ---p 00000000 00:00 0
02100000-021f6000 rwxp 00000000 00:00 0
021f6000-02200000 ---p 00000000 00:00 0
02200000-022f6000 rwxp 00000000 00:00 0
022f6000-02300000 ---p 00000000 00:00 0
02300000-023fe000 rwxp 00000000 00:00 0
023fe000-02400000 ---p 00000000 00:00 0
02400000-024fb000 rwxp 00000000 00:00 0
024fb000-02500000 ---p 00000000 00:00 0
02500000-025f1000 rwxp 00000000 00:00 0
025f1000-02600000 ---p 00000000 00:00 0
02600000-026f6000 rwxp 00000000 00:00 0
026f6000-02700000 ---p 00000000 00:00 0
02700000-027f2000 rwxp 00000000 00:00 0
027f2000-02800000 ---p 00000000 00:00 0
02800000-028f1000 rwxp 00000000 00:00 0
028f1000-02900000 ---p 00000000 00:00 0
02900000-029f6000 rwxp 00000000 00:00 0
029f6000-02a00000 ---p 00000000 00:00 0
02a00000-02af6000 rwxp 00000000 00:00 0
02af6000-02b00000 ---p 00000000 00:00 0
02b00000-02bf6000 rwxp 00000000 00:00 0
02bf6000-02c00000 ---p 00000000 00:00 0
02c00000-02cf5000 rwxp 00000000 00:00 0
02cf5000-02d00000 ---p 00000000 00:00 0
02d00000-02df1000 rwxp 00000000 00:00 0
02df1000-02e00000 ---p 00000000 00:00 0
02e00000-02ef2000 rwxp 00000000 00:00 0
02ef2000-02f00000 ---p 00000000 00:00 0
02f00000-02ff1000 rwxp 00000000 00:00 0
02ff1000-03000000 ---p 00000000 00:00 0
03000000-030f1000 rwxp 00000000 00:00 0
030f1000-03100000 ---p 00000000 00:00 0
03100000-031f1000 rwxp 00000000 00:00 0
031f1000-03200000 ---p 00000000 00:00 0
03200000-032f1000 rwxp 00000000 00:00 0
032f1000-03300000 ---p 00000000 00:00 0
03300000-033f1000 rwxp 00000000 00:00 0
033f1000-03400000 ---p 00000000 00:00 0
03400000-034f1000 rwxp 00000000 00:00 0
034f1000-03500000 ---p 00000000 00:00 0
03500000-035f1000 rwxp 00000000 00:00 0
035f1000-03600000 ---p 00000000 00:00 0
03600000-036f1000 rwxp 00000000 00:00 0
036f1000-03700000 ---p 00000000 00:00 0
03700000-037f1000 rwxp 00000000 00:00 0
037f1000-03800000 ---p 00000000 00:00 0
03800000-038f1000 rwxp 00000000 00:00 0
038f1000-03900000 ---p 00000000 00:00 0
03900000-039f1000 rwxp 00000000 00:00 0
039f1000-03a00000 ---p 00000000 00:00 0
03a00000-03af1000 rwxp 00000000 00:00 0
03af1000-03b00000 ---p 00000000 00:00 0
03b00000-03c00000 rwxp 00000000 00:00 0
03c00000-03cf1000 rwxp 00000000 00:00 0
03cf1000-03d00000 ---p 00000000 00:00 0
03d00000-03df1000 rwxp 00000000 00:00 0
03df1000-03e00000 ---p 00000000 00:00 0
03e00000-03ef1000 rwxp 00000000 00:00 0
03ef1000-03f00000 ---p 00000000 00:00 0
03f00000-03ff1000 rwxp 00000000 00:00 0
03ff1000-04000000 ---p 00000000 00:00 0
04000000-040f1000 rwxp 00000000 00:00 0
040f1000-04100000 ---p 00000000 00:00 0
04100000-041f5000 rwxp 00000000 00:00 0
041f5000-04200000 ---p 00000000 00:00 0
04200000-042f2000 rwxp 00000000 00:00 0
042f2000-04300000 ---p 00000000 00:00 0
04300000-043f1000 rwxp 00000000 00:00 0
043f1000-04400000 ---p 00000000 00:00 0
04400000-044f1000 rwxp 00000000 00:00 0
044f1000-04500000 ---p 00000000 00:00 0
04500000-045f1000 rwxp 00000000 00:00 0
045f1000-04600000 ---p 00000000 00:00 0
04600000-046f1000 rwxp 00000000 00:00 0
046f1000-04700000 ---p 00000000 00:00 0
04700000-047f1000 rwxp 00000000 00:00 0
047f1000-04800000 ---p 00000000 00:00 0
04800000-048f1000 rwxp 00000000 00:00 0
048f1000-04900000 ---p 00000000 00:00 0
04900000-049f1000 rwxp 00000000 00:00 0
049f1000-04a00000 ---p 00000000 00:00 0
04a00000-04af1000 rwxp 00000000 00:00 0
04af1000-04b00000 ---p 00000000 00:00 0
04b00000-04bf1000 rwxp 00000000 00:00 0
04bf1000-04c00000 ---p 00000000 00:00 0
04c00000-04cf1000 rwxp 00000000 00:00 0
04cf1000-04d00000 ---p 00000000 00:00 0
04d00000-04dff000 rwxp 00000000 00:00 0
04dff000-04e00000 ---p 00000000 00:00 0
04e00000-04ef1000 rwxp 00000000 00:00 0
04ef1000-04f00000 ---p 00000000 00:00 0
04f00000-04ff2000 rwxp 00000000 00:00 0
04ff2000-05000000 ---p 00000000 00:00 0
05000000-050fb000 rwxp 00000000 00:00 0
050fb000-05100000 ---p 00000000 00:00 0
05100000-051f1000 rwxp 00000000 00:00 0
051f1000-05200000 ---p 00000000 00:00 0
05200000-052f1000 rwxp 00000000 00:00 0
052f1000-05300000 ---p 00000000 00:00 0
05300000-053f1000 rwxp 00000000 00:00 0
053f1000-05400000 ---p 00000000 00:00 0
05400000-054f1000 rwxp 00000000 00:00 0
054f1000-05500000 ---p 00000000 00:00 0
05500000-055f1000 rwxp 00000000 00:00 0
055f1000-05600000 ---p 00000000 00:00 0
05600000-056f1000 rwxp 00000000 00:00 0
056f1000-05700000 ---p 00000000 00:00 0
05700000-057f1000 rwxp 00000000 00:00 0
057f1000-05800000 ---p 00000000 00:00 0
05800000-058f1000 rwxp 00000000 00:00 0
058f1000-05900000 ---p 00000000 00:00 0
05900000-059f1000 rwxp 00000000 00:00 0
059f1000-05a00000 ---p 00000000 00:00 0
05a00000-05af1000 rwxp 00000000 00:00 0
05af1000-05b00000 ---p 00000000 00:00 0
05b00000-05bf1000 rwxp 00000000 00:00 0
05bf1000-05c00000 ---p 00000000 00:00 0
05c00000-05cf1000 rwxp 00000000 00:00 0
05cf1000-05d00000 ---p 00000000 00:00 0
05d00000-05df1000 rwxp 00000000 00:00 0
05df1000-05e00000 ---p 00000000 00:00 0
05e00000-05ef1000 rwxp 00000000 00:00 0
05ef1000-05f00000 ---p 00000000 00:00 0
05f00000-05ff1000 rwxp 00000000 00:00 0
05ff1000-06000000 ---p 00000000 00:00 0
06000000-060f1000 rwxp 00000000 00:00 0
060f1000-06100000 ---p 00000000 00:00 0
06100000-061f1000 rwxp 00000000 00:00 0
061f1000-06200000 ---p 00000000 00:00 0
06200000-062f1000 rwxp 00000000 00:00 0
062f1000-06300000 ---p 00000000 00:00 0
06300000-063f6000 rwxp 00000000 00:00 0
063f6000-06400000 ---p 00000000 00:00 0
06400000-064f3000 rwxp 00000000 00:00 0
064f3000-06500000 ---p 00000000 00:00 0
06500000-065fd000 rwxp 00000000 00:00 0
065fd000-06600000 ---p 00000000 00:00 0
06600000-066f6000 rwxp 00000000 00:00 0
066f6000-06700000 ---p 00000000 00:00 0
06700000-067f6000 rwxp 00000000 00:00 0
067f6000-06800000 ---p 00000000 00:00 0
06800000-068f6000 rwxp 00000000 00:00 0
068f6000-06900000 ---p 00000000 00:00 0
06900000-069f6000 rwxp 00000000 00:00 0
069f6000-06a00000 ---p 00000000 00:00 0
06a00000-06af5000 rwxp 00000000 00:00 0
06af5000-06b00000 ---p 00000000 00:00 0
06b00000-06bf6000 rwxp 00000000 00:00 0
06bf6000-06c00000 ---p 00000000 00:00 0
06c00000-06cf6000 rwxp 00000000 00:00 0
06cf6000-06d00000 ---p 00000000 00:00 0
06d01000-06d0d000 rwxp 00000000 00:00 0
06d0d000-06d10000 ---p 00000000 00:00 0
06d10000-06d5e000 rwxp 00000000 00:00 0
06d5e000-06d61000 ---p 00000000 00:00 0
06d61000-06daf000 rwxp 00000000 00:00 0
06daf000-06db2000 ---p 00000000 00:00 0
06db2000-06e00000 rwxp 00000000 00:00 0
06e00000-06ef1000 rwxp 00000000 00:00 0
06ef1000-06f00000 ---p 00000000 00:00 0
06f00000-06ff6000 rwxp 00000000 00:00 0
06ff6000-07000000 ---p 00000000 00:00 0
07000000-070f5000 rwxp 00000000 00:00 0
070f5000-07100000 ---p 00000000 00:00 0
07100000-071f1000 rwxp 00000000 00:00 0
071f1000-07200000 ---p 00000000 00:00 0
07200000-072f6000 rwxp 00000000 00:00 0
072f6000-07300000 ---p 00000000 00:00 0
07300000-073f2000 rwxp 00000000 00:00 0
073f2000-07400000 ---p 00000000 00:00 0
07400000-074f1000 rwxp 00000000 00:00 0
074f1000-07500000 ---p 00000000 00:00 0
07500000-075f6000 rwxp 00000000 00:00 0
075f6000-07600000 ---p 00000000 00:00 0
07600000-076f6000 rwxp 00000000 00:00 0
076f6000-07700000 ---p 00000000 00:00 0
07700000-077f6000 rwxp 00000000 00:00 0
077f6000-07800000 ---p 00000000 00:00 0
07800000-078f5000 rwxp 00000000 00:00 0
078f5000-07900000 ---p 00000000 00:00 0
07900000-079f1000 rwxp 00000000 00:00 0
079f1000-07a00000 ---p 00000000 00:00 0
07a00000-07af6000 rwxp 00000000 00:00 0
07af6000-07b00000 ---p 00000000 00:00 0
07b00000-07bf1000 rwxp 00000000 00:00 0
07bf1000-07c00000 ---p 00000000 00:00 0
07c00000-07cf1000 rwxp 00000000 00:00 0
07cf1000-07d00000 ---p 00000000 00:00 0
07d00000-07df1000 rwxp 00000000 00:00 0
07df1000-07e00000 ---p 00000000 00:00 0
07e00000-07ef1000 rwxp 00000000 00:00 0
07ef1000-07f00000 ---p 00000000 00:00 0
07f00000-07ff1000 rwxp 00000000 00:00 0
07ff1000-08000000 ---p 00000000 00:00 0
08000000-08004000 rwxp 00000000 00:00 0
08004000-08048000 rwxp 00000000 00:00 0
08048000-08052000 r-xp 00000000 08:01 1926377 /usr/lib/jvm/java-6-sun-1.6.0.20/jre/bin/java
08052000-08053000 rwxp 00009000 08:01 1926377 /usr/lib/jvm/java-6-sun-1.6.0.20/jre/bin/java
08054000-08058000 rwxp 00000000 00:00 0
08058000-0805e000 rwxp 00000000 00:00 0
0805e000-08061000 ---p 00000000 00:00 0
08061000-080af000 rwxp 00000000 00:00 0
080af000-080b2000 ---p 00000000 00:00 0
080b2000-08100000 rwxp 00000000 00:00 0
08100000-081f1000 rwxp 00000000 00:00 0
081f1000-08200000 ---p 00000000 00:00 0
08200000-082f1000 rwxp 00000000 00:00 0
082f1000-08300000 ---p 00000000 00:00 0
08300000-083f5000 rwxp 00000000 00:00 0
083f5000-08400000 ---p 00000000 00:00 0
08401000-08407000 rwxp 00000000 00:00 0
08407000-0840d000 rwxp 00000000 00:00 0
0840d000-08410000 ---p 00000000 00:00 0
08410000-0845e000 rwxp 00000000 00:00 0
0845e000-08461000 ---p 00000000 00:00 0
08461000-084af000 rwxp 00000000 00:00 0
084af000-084b2000 ---p 00000000 00:00 0
084b2000-08500000 rwxp 00000000 00:00 0
08500000-085f1000 rwxp 00000000 00:00 0
085f1000-08600000 ---p 00000000 00:00 0
08600000-086f3000 rwxp 00000000 00:00 0
086f3000-08700000 ---p 00000000 00:00 0
08700000-087f3000 rwxp 00000000 00:00 0
087f3000-08800000 ---p 00000000 00:00 0
08800000-088f1000 rwxp 00000000 00:00 0
088f1000-08900000 ---p 00000000 00:00 0
08900000-089f6000 rwxp 00000000 00:00 0
089f6000-08a00000 ---p 00000000 00:00 0
08a00000-08af5000 rwxp 00000000 00:00 0
08af5000-08b00000 ---p 00000000 00:00 0
08b00000-08bf6000 rwxp 00000000 00:00 0
08bf6000-08c00000 ---p 00000000 00:00 0
08c00000-08cf6000 rwxp 00000000 00:00 0
08cf6000-08d00000 ---p 00000000 00:00 0
08d00000-08df6000 rwxp 00000000 00:00 0
08df6000-08e00000 ---p 00000000 00:00 0
08e00000-08ef5000 rwxp 00000000 00:00 0
08ef5000-08f00000 ---p 00000000 00:00 0
08f00000-08ff5000 rwxp 00000000 00:00 0
08ff5000-09000000 ---p 00000000 00:00 0
09000000-090f6000 rwxp 00000000 00:00 0
090f6000-09100000 ---p 00000000 00:00 0
09100000-091f6000 rwxp 00000000 00:00 0
091f6000-09200000 ---p 00000000 00:00 0
09200000-092f6000 rwxp 00000000 00:00 0
092f6000-09300000 ---p 00000000 00:00 0
09300000-093f5000 rwxp 00000000 00:00 0
093f5000-09400000 ---p 00000000 00:00 0
09400000-094f6000 rwxp 00000000 00:00 0
094f6000-09500000 ---p 00000000 00:00 0
09500000-095f6000 rwxp 00000000 00:00 0
095f6000-09600000 ---p 00000000 00:00 0
09600000-11d07000 rwxp 00000000 00:00 0 [heap]
11d07000-11d1a000 rwxp 00000000 00:00 0
11d1a000-11d1d000 ---p 00000000 00:00 0
11d1d000-11d6b000 rwxp 00000000 00:00 0
11d6b000-11d6e000 ---p 00000000 00:00 0
11d6e000-11dbc000 rwxp 00000000 00:00 0
11dbc000-11dbf000 ---p 00000000 00:00 0
11dbf000-11e0d000 rwxp 00000000 00:00 0
11e0d000-11e10000 ---p 00000000 00:00 0
11e10000-11e5e000 rwxp 00000000 00:00 0
11e5e000-11e61000 ---p 00000000 00:00 0
11e61000-11eaf000 rwxp 00000000 00:00 0
11eaf000-11eb2000 ---p 00000000 00:00 0
11eb2000-11f00000 rwxp 00000000 00:00 0
11f00000-11ff5000 rwxp 00000000 00:00 0
11ff5000-12000000 ---p 00000000 00:00 0
12001000-1200d000 rwxp 00000000 00:00 0
1200d000-12010000 ---p 00000000 00:00 0
12010000-1205e000 rwxp 00000000 00:00 0
1205e000-12061000 ---p 00000000 00:00 0
12061000-120af000 rwxp 00000000 00:00 0
120af000-120b2000 ---p 00000000 00:00 0
120b2000-12100000 rwxp 00000000 00:00 0
12100000-121f1000 rwxp 00000000 00:00 0
121f1000-12200000 ---p 00000000 00:00 0
12200000-122f3000 rwxp 00000000 00:00 0
122f3000-12300000 ---p 00000000 00:00 0
12300000-123f1000 rwxp 00000000 00:00 0
123f1000-12400000 ---p 00000000 00:00 0
12400000-124f1000 rwxp 00000000 00:00 0
124f1000-12500000 ---p 00000000 00:00 0
12500000-125f6000 rwxp 00000000 00:00 0
125f6000-12600000 ---p 00000000 00:00 0
12600000-126f6000 rwxp 00000000 00:00 0
126f6000-12700000 ---p 00000000 00:00 0
12700000-127f6000 rwxp 00000000 00:00 0
127f6000-12800000 ---p 00000000 00:00 0
12800000-128f5000 rwxp 00000000 00:00 0
128f5000-12900000 ---p 00000000 00:00 0
12900000-129f6000 rwxp 00000000 00:00 0
129f6000-12a00000 ---p 00000000 00:00 0
12a00000-12af6000 rwxp 00000000 00:00 0
12af6000-12b00000 ---p 00000000 00:00 0
12b00000-12bf6000 rwxp 00000000 00:00 0
12bf6000-12c00000 ---p 00000000 00:00 0
12c00000-12cf6000 rwxp 00000000 00:00 0
12cf6000-12d00000 ---p 00000000 00:00 0
12d00000-12df5000 rwxp 00000000 00:00 0
12df5000-12e00000 ---p 00000000 00:00 0
12e00000-12ef6000 rwxp 00000000 00:00 0
12ef6000-12f00000 ---p 00000000 00:00 0
12f00000-12ff6000 rwxp 00000000 00:00 0
12ff6000-13000000 ---p 00000000 00:00 0
13000000-130f6000 rwxp 00000000 00:00 0
130f6000-13100000 ---p 00000000 00:00 0
13100000-131f5000 rwxp 00000000 00:00 0
131f5000-13200000 ---p 00000000 00:00 0
13200000-132f6000 rwxp 00000000 00:00 0
132f6000-13300000 ---p 00000000 00:00 0
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285db000-285de000 ---p 00000000 00:00 0
285de000-2862c000 rwxp 00000000 00:00 0
2862c000-2862f000 ---p 00000000 00:00 0
2862f000-2867d000 rwxp 00000000 00:00 0
2867d000-28680000 ---p 00000000 00:00 0
28680000-286ce000 rwxp 00000000 00:00 0
286ce000-286d1000 ---p 00000000 00:00 0
286d1000-2871f000 rwxp 00000000 00:00 0
2871f000-28722000 ---p 00000000 00:00 0
28722000-28770000 rwxp 00000000 00:00 0
28770000-28773000 ---p 00000000 00:00 0
28773000-287c1000 rwxp 00000000 00:00 0
287c1000-287c4000 ---p 00000000 00:00 0
287c4000-28812000 rwxp 00000000 00:00 0
28812000-28815000 ---p 00000000 00:00 0
28815000-28863000 rwxp 00000000 00:00 0
28863000-28866000 ---p 00000000 00:00 0
28866000-288b4000 rwxp 00000000 00:00 0
288b4000-288b7000 ---p 00000000 00:00 0
288b7000-28905000 rwxp 00000000 00:00 0
28905000-28908000 ---p 00000000 00:00 0
28908000-28956000 rwxp 00000000 00:00 0
28956000-28959000 ---p 00000000 00:00 0
28959000-289a7000 rwxp 00000000 00:00 0
289a7000-289aa000 ---p 00000000 00:00 0
289aa000-289f8000 rwxp 00000000 00:00 0
289f8000-289fb000 ---p 00000000 00:00 0
289fb000-28a49000 rwxp 00000000 00:00 0
28a49000-28a4c000 ---p 00000000 00:00 0
28a4c000-28a9a000 rwxp 00000000 00:00 0
28a9a000-28a9d000 ---p 00000000 00:00 0
28a9d000-28aeb000 rwxp 00000000 00:00 0
28aeb000-28aee000 ---p 00000000 00:00 0
28aee000-28b3c000 rwxp 00000000 00:00 0
28b3c000-28b3f000 ---p 00000000 00:00 0
28b3f000-28b8d000 rwxp 00000000 00:00 0
28b8d000-28b90000 ---p 00000000 00:00 0
28b90000-28bde000 rwxp 00000000 00:00 0
28bde000-28be1000 ---p 00000000 00:00 0
28be1000-28c2f000 rwxp 00000000 00:00 0
28c2f000-28c32000 ---p 00000000 00:00 0
28c32000-28c80000 rwxp 00000000 00:00 0
28c80000-28c83000 ---p 00000000 00:00 0
28c83000-28cd1000 rwxp 00000000 00:00 0
28cd1000-28cd4000 ---p 00000000 00:00 0
28cd4000-28d22000 rwxp 00000000 00:00 0
bf7f1000-bf800000 ---p 00000000 00:00 0
bf800000-bf8f6000 rwxp 00000000 00:00 0
bf8f6000-bf900000 ---p 00000000 00:00 0
bf900000-bf9f6000 rwxp 00000000 00:00 0
bf9f6000-bfa00000 ---p 00000000 00:00 0
bfa00000-bfaf6000 rwxp 00000000 00:00 0
bfaf6000-bfb00000 ---p 00000000 00:00 0
bfb00000-bfb22000 rwxp 00000000 00:00 0
bfb28000-bfb3d000 rwxp 00000000 00:00 0 [stack]
bfb3d000-bfbe7000 rwxp 00000000 00:00 0
bfbe7000-bfbf8000 rwxp 00000000 00:00 0
bfc00000-bfcf5000 rwxp 00000000 00:00 0
bfcf5000-bfd00000 ---p 00000000 00:00 0
bfd00000-bfdf6000 rwxp 00000000 00:00 0
bfdf6000-bfe00000 ---p 00000000 00:00 0
bfe00000-bfef6000 rwxp 00000000 00:00 0
bfef6000-bff00000 ---p 00000000 00:00 0
bff00000-c0000000 rwxp 00000000 00:00 0
VM Arguments:
jvm_args: -Xms2g -Xmx2g -XX:MaxPermSize=128M
java_command: x2.jar
Launcher Type: SUN_STANDARD
Environment Variables:
JAVA_HOME=/usr/lib/jvm/java-6-sun-1.6.0.20
PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games
LD_LIBRARY_PATH=/usr/lib/jvm/java-6-sun-1.6.0.20/jre/lib/i386/server:/usr/lib/jvm/java-6-sun-1.6.0.20/jre/lib/i386:/usr/lib/jvm/java-6-sun-1.6.0.20/jre/../lib/i386
SHELL=/bin/bash
Signal Handlers:
SIGSEGV: [libjvm.so+0x68d5c0], sa_mask[0]=0x7ffbfeff, sa_flags=0x10000004
SIGBUS: [libjvm.so+0x68d5c0], sa_mask[0]=0x7ffbfeff, sa_flags=0x10000004
SIGFPE: [libjvm.so+0x55cb30], sa_mask[0]=0x7ffbfeff, sa_flags=0x10000004
SIGPIPE: [libjvm.so+0x55cb30], sa_mask[0]=0x7ffbfeff, sa_flags=0x10000004
SIGXFSZ: [libjvm.so+0x55cb30], sa_mask[0]=0x7ffbfeff, sa_flags=0x10000004
SIGILL: [libjvm.so+0x55cb30], sa_mask[0]=0x7ffbfeff, sa_flags=0x10000004
SIGUSR1: SIG_DFL, sa_mask[0]=0x00000000, sa_flags=0x00000000
SIGUSR2: [libjvm.so+0x55f770], sa_mask[0]=0x00000000, sa_flags=0x10000004
SIGHUP: [libjvm.so+0x55f4a0], sa_mask[0]=0x7ffbfeff, sa_flags=0x10000004
SIGINT: [libjvm.so+0x55f4a0], sa_mask[0]=0x7ffbfeff, sa_flags=0x10000004
SIGTERM: [libjvm.so+0x55f4a0], sa_mask[0]=0x7ffbfeff, sa_flags=0x10000004
SIGQUIT: [libjvm.so+0x55f4a0], sa_mask[0]=0x7ffbfeff, sa_flags=0x10000004
--------------- S Y S T E M ---------------
OS:squeeze/sid
uname:Linux 2.6.31-14-generic-pae #48-Ubuntu SMP Fri Oct 16 15:22:42 UTC 2009 i686
libc:glibc 2.10.1 NPTL 2.10.1
rlimit: STACK 8192k, CORE 0k, NPROC infinity, NOFILE 327680, AS infinity
load average:0.08 0.14 0.17
CPU:total 8 (4 cores per cpu, 1 threads per core) family 6 model 23 stepping 10, cmov, cx8, fxsr, mmx, sse, sse2, sse3, ssse3, sse4.1
Memory: 4k page, physical 16544080k(2270736k free), swap 15623172k(15375144k free)
vm_info: Java HotSpot(TM) Server VM (16.3-b01) for linux-x86 JRE (1.6.0_20-b02), built on Apr 12 2010 13:58:11 by "java_re" with gcc 3.2.1-7a (J2SE release)
time: Sun Aug 21 00:52:52 2011
elapsed time: 2301 seconds
挂掉服务器的时间很频繁
4-1 如何定义 Java 中的方法；Java 中无参无返回值方法的使用；Java 中无参带返回值方法的使用；
1.一般情况下，定义一个方法的语法是：
访问修饰符 返回值类型 方法名（参数列表）{
方法体
}1、 访问修饰符：方法允许被访问的权限范围， 可以是 public、protected、private 甚至可以省略 ，其中 public 表示该方法可以被其他任何代码调用，其他几种修饰符的使用在后面章节中会详细讲解滴
2、 返回值类型：方法返回值的类型，如果方法不返回任何值，则返回值类型指定为 void ；如果方法具有返回值，则需要指定返回值的类型，并且在方法体中使用 return 语句返回值
3、 方法名：定义的方法的名字，必须使用合法的标识符
4、 参数列表：传递给方法的参数列表，参数可以有多个，多个参数间以逗号隔开，每个参数由参数类型和参数名组成，以空格隔开
根据方法是否带参、是否带返回值，可将方法分为四类：
Ø 无参无返回值方法
Ø 无参带返回值方法
Ø 带参无返回值方法
Ø 带参带返回值方法
public class HelloWorld {
//定义了一个方法名为 print 的方法，实现输出信息功能
public void print() {
System.out.println("Hello World");
}
public static void main(String[] args){
//在 main 方法中调用 print 方法
HelloWorld test=new HelloWorld();
test.print();
}
}
2.Java 中无参无返回值方法的使用（如果方法不包含参数，且没有返回值，称为无参无返回值的方法。）
方法的使用分两步
例如：下面代码定义了一个方法名为 show ，没有参数，且没有返回值的方法，执行的操作为输出 “ welcome to imooc. ”
注意：
1、 方法体放在一对大括号中，实现特定的操作
2、 方法名主要在调用这个方法时使用，需要注意命名的规范，一般采用第一个单词首字母小写，其它单词首字母大写的形式
第二步，调用方法
当需要调用方法执行某个操作时，可以先创建类的对象，然后通过 对象名.方法名(); 来实现（关于类和对象的概念在后面章节中会详细讲解滴，先熟悉语法，表着急哦~~）
例如：在下面的代码中，我们创建了一个名为 hello 的对象，然后通过调用该对象的 show( ) 方法输出信息
运行结果为： welcome to imooc.
3.Java 中无参带返回值方法的使用
如果方法不包含参数，但有返回值，我们称为无参带返回值的方法。
例如：下面的代码，定义了一个方法名为 calSum ，无参数，但返回值为 int 类型的方法，执行的操作为计算两数之和，并返回结果
在 calSum( ) 方法中，返回值类型为 int 类型，因此在方法体中必须使用 return 返回一个整数值。
运行结果为： 两数之和为：17
不容忽视的“小陷阱”：
1、 如果方法的返回类型为 void ，则方法中不能使用 return 返回值！
2、 方法的返回值最多只能有一个，不能返回多个值
3、 方法返回值的类型必须兼容，例如，如果返回值类型为 int ，则不能返回 String 型值
5-2 Java 中的 static 使用之静态变量 ;;Java 中的 static 使用之静态方法;;Java 中的 static 使用之静态初始化块
1.Java 中被 static 修饰的成员称为静态成员或类成员。它属于整个类所有，而不是某个对象所有，即被类的所有对象所共享。静态成员可以使用类名直接访问，也可以使用对象名进行访问。当然，鉴于他作用的特殊性更推荐用类名访问
使用 static 可以修饰变量、方法和代码块。
2. 与静态变量一样，我们也可以使用 static 修饰方法，称为静态方法或类方法。其实之前我们一直写的 main 方法就是静态方法。静态方法的使用如：
注意：
1、 静态方法中可以直接调用同类中的静态成员，但不能直接调用非静态成员。如：
如果希望在静态方法中调用非静态变量，可以通过创建类的对象，然后通过对象来访问非静态变量。如：
2、 在普通成员方法中，则可以直接访问同类的非静态变量和静态变量，如下所示：
3、 静态方法中不能直接调用非静态方法，需要通过对象来访问非静态方法。如：
3.Java 中的 static 使用之静态初始化块
Java 中可以通过初始化块进行数据赋值。如：
在类的声明中，可以包含多个初始化块，当创建类的实例时，就会依次执行这些代码块。如果使用 static 修饰初始化块，就称为静态初始化块。
注意：静态初始化块只在类加载时执行，且只会执行一次，同时静态初始化块只能给静态变量赋值，不能初始化普通的成员变量。
![ArrayMap java.lang.ClassCastException: java.lang.String cannot be cast to java.lang.Object[]](http://www.gvkun.com/zb_users/upload/2025/05/2633a76c-8794-4110-8823-0420757809aa1746040070836.jpg "ArrayMap java.lang.ClassCastException: java.lang.String cannot be cast to java.lang.Object[]")
ArrayMap java.lang.ClassCastException: java.lang.String cannot be cast to java.lang.Object[]
错误堆栈：
java.lang.ClassCastException: java.lang.String cannot be cast to java.lang.Object[]
at android.support.v4.util.SimpleArrayMap.allocArrays(SourceFile:183)
at android.support.v4.util.SimpleArrayMap.put(SourceFile:437)
错误原因：
由于SimpleArrayMap 里面使用了一个静态变量的缓存，mBaseCache,
static Object[] mBaseCache;
该变量默认有两个数据，第1个元素是一个object[]，用于存放上次的缓存的mBaseCache
第二个元素是int[]，用于存在hash。具体赋值代码可以看下面
synchronized (ArrayMap.class) {
if (mBaseCacheSize < CACHE_SIZE) {
array[0] = mBaseCache;
array[1] = hashes;
for (int i=(size<<1)-1; i>=2; i--) {
array[i] = null;
}
mBaseCache = array;
mBaseCacheSize++;
if (DEBUG) Log.d(TAG, "Storing 1x cache " + array
+ " now have " + mBaseCacheSize + " entries");
}
}
使用该数组的地方在：
SimpleArrayMap 的allocArrays 方法里
synchronized (ArrayMap.class) {
if (mBaseCache != null) {
final Object[] array = mBaseCache;
mArray = array;
mBaseCache = (Object[])array[0];
mHashes = (int[])array[1];
array[0] = array[1] = null;
mBaseCacheSize--;
if (DEBUG) Log.d(TAG, "Retrieving 1x cache " + mHashes
+ " now have " + mBaseCacheSize + " entries");
return;
}
}
下面这段代码是有风险的，如果mBaseCache 在多线程被修改了，就会把ClassCastException 异常。
mBaseCache = (Object[])array[0];
解决方法：
如果项目某个地方报这个错误，请把这个地方的ArrayMap替换成 HasMap. HasMap 多线程不会崩溃，虽然，他不是特别完好的支持。不需要把项目中所有的地方都替换掉，没有必要。单独线程，ArrayMap 完全没有问题。
错误复现：这个复现起来超级麻烦，我花了一周的时间，才找到复现的漏洞，分享给大家：
/**
* 复现该问题 用了四个线程
* java.lang.ClassCastException: java.lang.String cannot be cast to java.lang.Object[]
* at android.support.v4.util.SimpleArrayMap.allocArrays(SimpleArrayMap.java:157)
* at android.support.v4.util.SimpleArrayMap.put(SimpleArrayMap.java:399)
* at com.example.fragment.MainFragment$14.run(MainFragment.java:280)
* 1.首先 线程1 执行到put 方法的
* mArray[index<<1] = key;
* mArray[(index<<1)+1] = value;
* mSize++;
* return null;
* 最上面这个位置 目的是让这个数组不再是空的
*
* 2.执行线程2 也执行到
* mArray[index<<1] = key;
* mArray[(index<<1)+1] = value;
* mSize++;
* return null;
* 最上面这个位置 目的是让这个put 的东西，放在第0个位置，因为put里面会生成index，
* 让两个线程都放到index 是0 的位置
*
* 3.把线程1执行完，这样数据里面已经放进去一个数据了
*
* 4.执行线程3 到removeAt 方法的 freeArrays 的 mBaseCache = array; 之前
* public V removeAt(int index) {
* final Object old = mArray[(index << 1) + 1];
* if (mSize <= 1) {
* // Now empty.
* if (DEBUG) Log.d(TAG, "remove: shrink from " + mHashes.length + " to 0");
* freeArrays(mHashes, mArray, mSize);
*
* mBaseCache = array;----------- freeArrays
*
* 这个的目的是调用freeArray 方法，让当前的map释放当前的数组。这样就可以生成mBaseCache了
*
* 5.把线程2 执行完
* 这样就会把mBaseCache 赋值的数组，重新赋值
*
* 6.把线程3执行完
* ok，现在mBaseCache已经被污染了
*
* 7.执行线程4
*
*/
private void CMETestCastException() {
final ArrayMap testArrayMap = new ArrayMap();
final ArrayMap testArrayMap2 = new ArrayMap();
new Thread("线程1"){
@Override
public void run() {
super.run();
testArrayMap.put("2324","fffff");
}
}.start();
new Thread("线程2"){
@Override
public void run() {
super.run();
testArrayMap.put("test","string");
}
}.start();
new Thread("线程3"){
@Override
public void run() {
super.run();
testArrayMap.removeAt(0);
}
}.start();
new Thread("线程4"){
@Override
public void run() {
super.run();
testArrayMap2.put("aaa","string");
}
}.start();
}
复现这个问题的时候，关键是把mBaseCache 污染掉。这里四个线程的话，需要调试，调试步骤就是上面我注释的。
总结：
如果当前的map 会有多个线程访问，请使用HasMap. 该问题，google 并没有解决。在高版本上，直接扔CME ConcurrentModificationException.
Elasticsearch Java client（ES Client 简介、Java REST Client、Java Client、Spring Data Elasticsearch）
elasticsearch系列七：ES Java客户端-Elasticsearch Java client（ES Client 简介、Java REST Client、Java Client、Spring Data Elasticsearch）
一、ES Client 简介
1. ES是一个服务，采用C/S结构
2. 回顾 ES的架构
3. ES支持的客户端连接方式
3.1 REST API ，端口 9200
这种连接方式对应于架构图中的RESTful style API这一层，这种客户端的连接方式是RESTful风格的，使用http的方式进行连接
3.2 Transport 连接 端口 9300
这种连接方式对应于架构图中的Transport这一层，这种客户端连接方式是直接连接ES的节点，使用TCP的方式进行连接
4. ES提供了多种编程语言客户端
官网可以了解详情：
https://www.elastic.co/guide/en/elasticsearch/client/index.html
二、Java REST Client介绍
1. ES提供了两个JAVA REST client 版本
Java Low Level REST Client: 低级别的REST客户端，通过http与集群交互，用户需自己编组请求JSON串，及解析响应JSON串。兼容所有ES版本。
Java High Level REST Client: 高级别的REST客户端，基于低级别的REST客户端，增加了编组请求JSON串、解析响应JSON串等相关api。使用的版本需要保持和ES服务端的版本一致，否则会有版本问题。
2. Java Low Level REST Client 说明
特点，maven 引入、使用介绍： https://www.elastic.co/guide/en/elasticsearch/client/java-rest/current/java-rest-low.html
API doc ：https://artifacts.elastic.co/javadoc/org/elasticsearch/client/elasticsearch-rest-client/6.2.4/index.html.
3. Java High Level REST Client 说明
从6.0.0开始加入的，目的是以java面向对象的方式来进行请求、响应处理。
每个API 支持 同步/异步 两种方式，同步方法直接返回一个结果对象。异步的方法以async为后缀，通过listener参数来通知结果。
高级java REST 客户端依赖Elasticsearch core project
兼容性说明：
依赖 java1.8 和 Elasticsearch core project
请使用与服务端ES版本一致的客户端版本
4. Java High Level REST Client maven 集成
<dependency>
<groupId>org.elasticsearch.client</groupId>
<artifactId>elasticsearch-rest-high-level-client</artifactId>
<version>6.2.4</version>
</dependency>5. Java High Level REST Client 初始化
RestHighLevelClient client = new RestHighLevelClient(
RestClient.builder(
new HttpHost("localhost", 9200, "http"),
new HttpHost("localhost", 9201, "http")));给定集群的多个节点地址，将客户端负载均衡地向这个节点地址集发请求
Client 不再使用了，记得关闭它：
client.close();API及用法示例，请参考：
https://www.elastic.co/guide/en/elasticsearch/client/java-rest/current/java-rest-high-supported-apis.html
三、Java High Level REST Client 使用示例
准备：
编写示例之前首先在maven工程里面引入和ES服务端版本一样的Java客户端
<dependency>
<groupId>org.elasticsearch.client</groupId>
<artifactId>elasticsearch-rest-high-level-client</artifactId>
<version>6.2.4</version>
</dependency>给定集群的多个节点地址，将客户端负载均衡地向这个节点地址集发请求：
InitDemo.java
package com.study.es_hrset_client;
import org.apache.http.HttpHost;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
/**
*
* @Description: 获取Java High Level REST Client客户端
* @author lgs
* @date 2018年6月23日
*
*/
public class InitDemo {
public static RestHighLevelClient getClient() {
RestHighLevelClient client = new RestHighLevelClient(
RestClient.builder(new HttpHost("localhost", 9200, "http"),
new HttpHost("localhost", 9201, "http")));
return client;
}
}注意使用ES的客户端时类比之前我们在Kibana进行的ES的相关操作，这样使用起来更加有效果
1. Create index 创建索引
CreateIndexDemo.java
package com.study.es_hrset_client;
import java.io.IOException;
import org.elasticsearch.action.admin.indices.alias.Alias;
import org.elasticsearch.action.admin.indices.create.CreateIndexRequest;
import org.elasticsearch.action.admin.indices.create.CreateIndexResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.xcontent.XContentType;
/**
*
* @Description: 创建索引
* @author lgs
* @date 2018年6月23日
*
*/
public class CreateIndexDemo {
public static void main(String[] args) {
try (RestHighLevelClient client = InitDemo.getClient();) {
// 1、创建 创建索引request 参数：索引名mess
CreateIndexRequest request = new CreateIndexRequest("mess");
// 2、设置索引的settings
request.settings(Settings.builder().put("index.number_of_shards", 3) // 分片数
.put("index.number_of_replicas", 2) // 副本数
.put("analysis.analyzer.default.tokenizer", "ik_smart") // 默认分词器
);
// 3、设置索引的mappings
request.mapping("_doc",
" {\n" +
" \"_doc\": {\n" +
" \"properties\": {\n" +
" \"message\": {\n" +
" \"type\": \"text\"\n" +
" }\n" +
" }\n" +
" }\n" +
" }",
XContentType.JSON);
// 4、 设置索引的别名
request.alias(new Alias("mmm"));
// 5、 发送请求
// 5.1 同步方式发送请求
CreateIndexResponse createIndexResponse = client.indices()
.create(request);
// 6、处理响应
boolean acknowledged = createIndexResponse.isAcknowledged();
boolean shardsAcknowledged = createIndexResponse
.isShardsAcknowledged();
System.out.println("acknowledged = " + acknowledged);
System.out.println("shardsAcknowledged = " + shardsAcknowledged);
// 5.1 异步方式发送请求
/*ActionListener<CreateIndexResponse> listener = new ActionListener<CreateIndexResponse>() {
@Override
public void onResponse(
CreateIndexResponse createIndexResponse) {
// 6、处理响应
boolean acknowledged = createIndexResponse.isAcknowledged();
boolean shardsAcknowledged = createIndexResponse
.isShardsAcknowledged();
System.out.println("acknowledged = " + acknowledged);
System.out.println(
"shardsAcknowledged = " + shardsAcknowledged);
}
@Override
public void onFailure(Exception e) {
System.out.println("创建索引异常：" + e.getMessage());
}
};
client.indices().createAsync(request, listener);
*/
} catch (IOException e) {
e.printStackTrace();
}
}
}运行结果：
acknowledged = true
shardsAcknowledged = true
2. index document
索引文档，即往索引里面放入文档数据.类似于数据库里面向表里面插入一行数据，一行数据就是一个文档
IndexDocumentDemo.java
package com.study.es_hrset_client;
import java.io.IOException;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.ElasticsearchException;
import org.elasticsearch.action.DocWriteResponse;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.action.support.replication.ReplicationResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.xcontent.XContentType;
import org.elasticsearch.rest.RestStatus;
/**
*
* @Description: 索引文档，即往索引里面放入文档数据.类似于数据库里面向表里面插入一行数据，一行数据就是一个文档
* @author lgs
* @date 2018年6月23日
*
*/
public class IndexDocumentDemo {
private static Logger logger = LogManager.getRootLogger();
public static void main(String[] args) {
try (RestHighLevelClient client = InitDemo.getClient();) {
// 1、创建索引请求
IndexRequest request = new IndexRequest(
"mess", //索引
"_doc", // mapping type
"1"); //文档id
// 2、准备文档数据
// 方式一：直接给JSON串
String jsonString = "{" +
"\"user\":\"kimchy\"," +
"\"postDate\":\"2013-01-30\"," +
"\"message\":\"trying out Elasticsearch\"" +
"}";
request.source(jsonString, XContentType.JSON);
// 方式二：以map对象来表示文档
/*
Map<String, Object> jsonMap = new HashMap<>();
jsonMap.put("user", "kimchy");
jsonMap.put("postDate", new Date());
jsonMap.put("message", "trying out Elasticsearch");
request.source(jsonMap);
*/
// 方式三：用XContentBuilder来构建文档
/*
XContentBuilder builder = XContentFactory.jsonBuilder();
builder.startObject();
{
builder.field("user", "kimchy");
builder.field("postDate", new Date());
builder.field("message", "trying out Elasticsearch");
}
builder.endObject();
request.source(builder);
*/
// 方式四：直接用key-value对给出
/*
request.source("user", "kimchy",
"postDate", new Date(),
"message", "trying out Elasticsearch");
*/
//3、其他的一些可选设置
/*
request.routing("routing"); //设置routing值
request.timeout(TimeValue.timeValueSeconds(1)); //设置主分片等待时长
request.setRefreshPolicy("wait_for"); //设置重刷新策略
request.version(2); //设置版本号
request.opType(DocWriteRequest.OpType.CREATE); //操作类别
*/
//4、发送请求
IndexResponse indexResponse = null;
try {
// 同步方式
indexResponse = client.index(request);
} catch(ElasticsearchException e) {
// 捕获，并处理异常
//判断是否版本冲突、create但文档已存在冲突
if (e.status() == RestStatus.CONFLICT) {
logger.error("冲突了，请在此写冲突处理逻辑！\n" + e.getDetailedMessage());
}
logger.error("索引异常", e);
}
//5、处理响应
if(indexResponse != null) {
String index = indexResponse.getIndex();
String type = indexResponse.getType();
String id = indexResponse.getId();
long version = indexResponse.getVersion();
if (indexResponse.getResult() == DocWriteResponse.Result.CREATED) {
System.out.println("新增文档成功，处理逻辑代码写到这里。");
} else if (indexResponse.getResult() == DocWriteResponse.Result.UPDATED) {
System.out.println("修改文档成功，处理逻辑代码写到这里。");
}
// 分片处理信息
ReplicationResponse.ShardInfo shardInfo = indexResponse.getShardInfo();
if (shardInfo.getTotal() != shardInfo.getSuccessful()) {
}
// 如果有分片副本失败，可以获得失败原因信息
if (shardInfo.getFailed() > 0) {
for (ReplicationResponse.ShardInfo.Failure failure : shardInfo.getFailures()) {
String reason = failure.reason();
System.out.println("副本失败原因：" + reason);
}
}
}
//异步方式发送索引请求
/*ActionListener<IndexResponse> listener = new ActionListener<IndexResponse>() {
@Override
public void onResponse(IndexResponse indexResponse) {
}
@Override
public void onFailure(Exception e) {
}
};
client.indexAsync(request, listener);
*/
} catch (IOException e) {
e.printStackTrace();
}
}
}运行结果：
新增文档成功，处理逻辑代码写到这里。
3. get document
获取文档数据
GetDocumentDemo.java
package com.study.es_hrset_client;
import java.io.IOException;
import java.util.Map;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.ElasticsearchException;
import org.elasticsearch.action.get.GetRequest;
import org.elasticsearch.action.get.GetResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.Strings;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.fetch.subphase.FetchSourceContext;
/**
*
* @Description: 获取文档数据
* @author lgs
* @date 2018年6月23日
*
*/
public class GetDocumentDemo {
private static Logger logger = LogManager.getRootLogger();
public static void main(String[] args) {
try (RestHighLevelClient client = InitDemo.getClient();) {
// 1、创建获取文档请求
GetRequest request = new GetRequest(
"mess", //索引
"_doc", // mapping type
"1"); //文档id
// 2、可选的设置
//request.routing("routing");
//request.version(2);
//request.fetchSourceContext(new FetchSourceContext(false)); //是否获取_source字段
//选择返回的字段
String[] includes = new String[]{"message", "*Date"};
String[] excludes = Strings.EMPTY_ARRAY;
FetchSourceContext fetchSourceContext = new FetchSourceContext(true, includes, excludes);
request.fetchSourceContext(fetchSourceContext);
//也可写成这样
/*String[] includes = Strings.EMPTY_ARRAY;
String[] excludes = new String[]{"message"};
FetchSourceContext fetchSourceContext = new FetchSourceContext(true, includes, excludes);
request.fetchSourceContext(fetchSourceContext);*/
// 取stored字段
/*request.storedFields("message");
GetResponse getResponse = client.get(request);
String message = getResponse.getField("message").getValue();*/
//3、发送请求
GetResponse getResponse = null;
try {
// 同步请求
getResponse = client.get(request);
} catch (ElasticsearchException e) {
if (e.status() == RestStatus.NOT_FOUND) {
logger.error("没有找到该id的文档" );
}
if (e.status() == RestStatus.CONFLICT) {
logger.error("获取时版本冲突了，请在此写冲突处理逻辑！" );
}
logger.error("获取文档异常", e);
}
//4、处理响应
if(getResponse != null) {
String index = getResponse.getIndex();
String type = getResponse.getType();
String id = getResponse.getId();
if (getResponse.isExists()) { // 文档存在
long version = getResponse.getVersion();
String sourceAsString = getResponse.getSourceAsString(); //结果取成 String
Map<String, Object> sourceAsMap = getResponse.getSourceAsMap(); // 结果取成Map
byte[] sourceAsBytes = getResponse.getSourceAsBytes(); //结果取成字节数组
logger.info("index:" + index + " type:" + type + " id:" + id);
logger.info(sourceAsString);
} else {
logger.error("没有找到该id的文档" );
}
}
//异步方式发送获取文档请求
/*
ActionListener<GetResponse> listener = new ActionListener<GetResponse>() {
@Override
public void onResponse(GetResponse getResponse) {
}
@Override
public void onFailure(Exception e) {
}
};
client.getAsync(request, listener);
*/
} catch (IOException e) {
e.printStackTrace();
}
}
}4. Bulk
批量索引文档，即批量往索引里面放入文档数据.类似于数据库里面批量向表里面插入多行数据，一行数据就是一个文档
BulkDemo.java
package com.study.es_hrset_client;
import java.io.IOException;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.action.DocWriteRequest;
import org.elasticsearch.action.DocWriteResponse;
import org.elasticsearch.action.bulk.BulkItemResponse;
import org.elasticsearch.action.bulk.BulkRequest;
import org.elasticsearch.action.bulk.BulkResponse;
import org.elasticsearch.action.delete.DeleteResponse;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.action.update.UpdateResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.xcontent.XContentType;
/**
*
* @Description: 批量索引文档，即批量往索引里面放入文档数据.类似于数据库里面批量向表里面插入多行数据，一行数据就是一个文档
* @author lgs
* @date 2018年6月23日
*
*/
public class BulkDemo {
private static Logger logger = LogManager.getRootLogger();
public static void main(String[] args) {
try (RestHighLevelClient client = InitDemo.getClient();) {
// 1、创建批量操作请求
BulkRequest request = new BulkRequest();
request.add(new IndexRequest("mess", "_doc", "1")
.source(XContentType.JSON,"field", "foo"));
request.add(new IndexRequest("mess", "_doc", "2")
.source(XContentType.JSON,"field", "bar"));
request.add(new IndexRequest("mess", "_doc", "3")
.source(XContentType.JSON,"field", "baz"));
/*
request.add(new DeleteRequest("mess", "_doc", "3"));
request.add(new UpdateRequest("mess", "_doc", "2")
.doc(XContentType.JSON,"other", "test"));
request.add(new IndexRequest("mess", "_doc", "4")
.source(XContentType.JSON,"field", "baz"));
*/
// 2、可选的设置
/*
request.timeout("2m");
request.setRefreshPolicy("wait_for");
request.waitForActiveShards(2);
*/
//3、发送请求
// 同步请求
BulkResponse bulkResponse = client.bulk(request);
//4、处理响应
if(bulkResponse != null) {
for (BulkItemResponse bulkItemResponse : bulkResponse) {
DocWriteResponse itemResponse = bulkItemResponse.getResponse();
if (bulkItemResponse.getOpType() == DocWriteRequest.OpType.INDEX
|| bulkItemResponse.getOpType() == DocWriteRequest.OpType.CREATE) {
IndexResponse indexResponse = (IndexResponse) itemResponse;
//TODO 新增成功的处理
} else if (bulkItemResponse.getOpType() == DocWriteRequest.OpType.UPDATE) {
UpdateResponse updateResponse = (UpdateResponse) itemResponse;
//TODO 修改成功的处理
} else if (bulkItemResponse.getOpType() == DocWriteRequest.OpType.DELETE) {
DeleteResponse deleteResponse = (DeleteResponse) itemResponse;
//TODO 删除成功的处理
}
}
}
//异步方式发送批量操作请求
/*
ActionListener<BulkResponse> listener = new ActionListener<BulkResponse>() {
@Override
public void onResponse(BulkResponse bulkResponse) {
}
@Override
public void onFailure(Exception e) {
}
};
client.bulkAsync(request, listener);
*/
} catch (IOException e) {
e.printStackTrace();
}
}
}5. search
搜索数据
SearchDemo.java
package com.study.es_hrset_client;
import java.io.IOException;
import java.util.List;
import java.util.Map;
import java.util.concurrent.TimeUnit;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.action.search.ShardSearchFailure;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.unit.TimeValue;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.suggest.Suggest;
import org.elasticsearch.search.suggest.term.TermSuggestion;
/**
*
* @Description: 搜索数据
* @author lgs
* @date 2018年6月23日
*
*/
public class SearchDemo {
private static Logger logger = LogManager.getRootLogger();
public static void main(String[] args) {
try (RestHighLevelClient client = InitDemo.getClient();) {
// 1、创建search请求
//SearchRequest searchRequest = new SearchRequest();
SearchRequest searchRequest = new SearchRequest("bank");
searchRequest.types("_doc");
// 2、用SearchSourceBuilder来构造查询请求体 ,请仔细查看它的方法，构造各种查询的方法都在这。
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
//构造QueryBuilder
/*QueryBuilder matchQueryBuilder = QueryBuilders.matchQuery("user", "kimchy")
.fuzziness(Fuzziness.AUTO)
.prefixLength(3)
.maxExpansions(10);
sourceBuilder.query(matchQueryBuilder);*/
sourceBuilder.query(QueryBuilders.termQuery("age", 24));
sourceBuilder.from(0);
sourceBuilder.size(10);
sourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS));
//是否返回_source字段
//sourceBuilder.fetchSource(false);
//设置返回哪些字段
/*String[] includeFields = new String[] {"title", "user", "innerObject.*"};
String[] excludeFields = new String[] {"_type"};
sourceBuilder.fetchSource(includeFields, excludeFields);*/
//指定排序
//sourceBuilder.sort(new ScoreSortBuilder().order(SortOrder.DESC));
//sourceBuilder.sort(new FieldSortBuilder("_uid").order(SortOrder.ASC));
// 设置返回 profile
//sourceBuilder.profile(true);
//将请求体加入到请求中
searchRequest.source(sourceBuilder);
// 可选的设置
//searchRequest.routing("routing");
// 高亮设置
/*
HighlightBuilder highlightBuilder = new HighlightBuilder();
HighlightBuilder.Field highlightTitle =
new HighlightBuilder.Field("title");
highlightTitle.highlighterType("unified");
highlightBuilder.field(highlightTitle);
HighlightBuilder.Field highlightUser = new HighlightBuilder.Field("user");
highlightBuilder.field(highlightUser);
sourceBuilder.highlighter(highlightBuilder);*/
//加入聚合
/*TermsAggregationBuilder aggregation = AggregationBuilders.terms("by_company")
.field("company.keyword");
aggregation.subAggregation(AggregationBuilders.avg("average_age")
.field("age"));
sourceBuilder.aggregation(aggregation);*/
//做查询建议
/*SuggestionBuilder termSuggestionBuilder =
SuggestBuilders.termSuggestion("user").text("kmichy");
SuggestBuilder suggestBuilder = new SuggestBuilder();
suggestBuilder.addSuggestion("suggest_user", termSuggestionBuilder);
sourceBuilder.suggest(suggestBuilder);*/
//3、发送请求
SearchResponse searchResponse = client.search(searchRequest);
//4、处理响应
//搜索结果状态信息
RestStatus status = searchResponse.status();
TimeValue took = searchResponse.getTook();
Boolean terminatedEarly = searchResponse.isTerminatedEarly();
boolean timedOut = searchResponse.isTimedOut();
//分片搜索情况
int totalShards = searchResponse.getTotalShards();
int successfulShards = searchResponse.getSuccessfulShards();
int failedShards = searchResponse.getFailedShards();
for (ShardSearchFailure failure : searchResponse.getShardFailures()) {
// failures should be handled here
}
//处理搜索命中文档结果
SearchHits hits = searchResponse.getHits();
long totalHits = hits.getTotalHits();
float maxScore = hits.getMaxScore();
SearchHit[] searchHits = hits.getHits();
for (SearchHit hit : searchHits) {
// do something with the SearchHit
String index = hit.getIndex();
String type = hit.getType();
String id = hit.getId();
float score = hit.getScore();
//取_source字段值
String sourceAsString = hit.getSourceAsString(); //取成json串
Map<String, Object> sourceAsMap = hit.getSourceAsMap(); // 取成map对象
//从map中取字段值
/*
String documentTitle = (String) sourceAsMap.get("title");
List<Object> users = (List<Object>) sourceAsMap.get("user");
Map<String, Object> innerObject = (Map<String, Object>) sourceAsMap.get("innerObject");
*/
logger.info("index:" + index + " type:" + type + " id:" + id);
logger.info(sourceAsString);
//取高亮结果
/*Map<String, HighlightField> highlightFields = hit.getHighlightFields();
HighlightField highlight = highlightFields.get("title");
Text[] fragments = highlight.fragments();
String fragmentString = fragments[0].string();*/
}
// 获取聚合结果
/*
Aggregations aggregations = searchResponse.getAggregations();
Terms byCompanyAggregation = aggregations.get("by_company");
Bucket elasticBucket = byCompanyAggregation.getBucketByKey("Elastic");
Avg averageAge = elasticBucket.getAggregations().get("average_age");
double avg = averageAge.getValue();
*/
// 获取建议结果
/*Suggest suggest = searchResponse.getSuggest();
TermSuggestion termSuggestion = suggest.getSuggestion("suggest_user");
for (TermSuggestion.Entry entry : termSuggestion.getEntries()) {
for (TermSuggestion.Entry.Option option : entry) {
String suggestText = option.getText().string();
}
}
*/
//异步方式发送获查询请求
/*
ActionListener<SearchResponse> listener = new ActionListener<SearchResponse>() {
@Override
public void onResponse(SearchResponse getResponse) {
//结果获取
}
@Override
public void onFailure(Exception e) {
//失败处理
}
};
client.searchAsync(searchRequest, listener);
*/
} catch (IOException e) {
logger.error(e);
}
}
}6. highlight 高亮
HighlightDemo.java
package com.study.es_hrset_client;
import java.io.IOException;
import java.util.Map;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.text.Text;
import org.elasticsearch.index.query.QueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
/**
*
* @Description: 高亮
* @author lgs
* @date 2018年6月23日
*
*/
public class HighlightDemo {
private static Logger logger = LogManager.getRootLogger();
public static void main(String[] args) {
try (RestHighLevelClient client = InitDemo.getClient();) {
// 1、创建search请求
SearchRequest searchRequest = new SearchRequest("hl_test");
// 2、用SearchSourceBuilder来构造查询请求体 ,请仔细查看它的方法，构造各种查询的方法都在这。
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
//构造QueryBuilder
QueryBuilder matchQueryBuilder = QueryBuilders.matchQuery("title", "lucene solr");
sourceBuilder.query(matchQueryBuilder);
//分页设置
/*sourceBuilder.from(0);
sourceBuilder.size(5); ;*/
// 高亮设置
HighlightBuilder highlightBuilder = new HighlightBuilder();
highlightBuilder.requireFieldMatch(false).field("title").field("content")
.preTags("<strong>").postTags("</strong>");
//不同字段可有不同设置，如不同标签
/*HighlightBuilder.Field highlightTitle = new HighlightBuilder.Field("title");
highlightTitle.preTags("<strong>").postTags("</strong>");
highlightBuilder.field(highlightTitle);
HighlightBuilder.Field highlightContent = new HighlightBuilder.Field("content");
highlightContent.preTags("<b>").postTags("</b>");
highlightBuilder.field(highlightContent).requireFieldMatch(false);*/
sourceBuilder.highlighter(highlightBuilder);
searchRequest.source(sourceBuilder);
//3、发送请求
SearchResponse searchResponse = client.search(searchRequest);
//4、处理响应
if(RestStatus.OK.equals(searchResponse.status())) {
//处理搜索命中文档结果
SearchHits hits = searchResponse.getHits();
long totalHits = hits.getTotalHits();
SearchHit[] searchHits = hits.getHits();
for (SearchHit hit : searchHits) {
String index = hit.getIndex();
String type = hit.getType();
String id = hit.getId();
float score = hit.getScore();
//取_source字段值
//String sourceAsString = hit.getSourceAsString(); //取成json串
Map<String, Object> sourceAsMap = hit.getSourceAsMap(); // 取成map对象
//从map中取字段值
/*String title = (String) sourceAsMap.get("title");
String content = (String) sourceAsMap.get("content"); */
logger.info("index:" + index + " type:" + type + " id:" + id);
logger.info("sourceMap : " + sourceAsMap);
//取高亮结果
Map<String, HighlightField> highlightFields = hit.getHighlightFields();
HighlightField highlight = highlightFields.get("title");
if(highlight != null) {
Text[] fragments = highlight.fragments(); //多值的字段会有多个值
if(fragments != null) {
String fragmentString = fragments[0].string();
logger.info("title highlight : " + fragmentString);
//可用高亮字符串替换上面sourceAsMap中的对应字段返回到上一级调用
//sourceAsMap.put("title", fragmentString);
}
}
highlight = highlightFields.get("content");
if(highlight != null) {
Text[] fragments = highlight.fragments(); //多值的字段会有多个值
if(fragments != null) {
String fragmentString = fragments[0].string();
logger.info("content highlight : " + fragmentString);
//可用高亮字符串替换上面sourceAsMap中的对应字段返回到上一级调用
//sourceAsMap.put("content", fragmentString);
}
}
}
}
} catch (IOException e) {
logger.error(e);
}
}
}7. suggest 查询建议
SuggestDemo.java
package com.study.es_hrset_client;
import java.io.IOException;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.suggest.Suggest;
import org.elasticsearch.search.suggest.SuggestBuilder;
import org.elasticsearch.search.suggest.SuggestBuilders;
import org.elasticsearch.search.suggest.SuggestionBuilder;
import org.elasticsearch.search.suggest.completion.CompletionSuggestion;
import org.elasticsearch.search.suggest.term.TermSuggestion;
/**
*
* @Description: 查询建议
* @author lgs
* @date 2018年6月23日
*
*/
public class SuggestDemo {
private static Logger logger = LogManager.getRootLogger();
//词项建议拼写检查，检查用户的拼写是否错误，如果有错给用户推荐正确的词，appel->apple
public static void termSuggest() {
try (RestHighLevelClient client = InitDemo.getClient();) {
// 1、创建search请求
//SearchRequest searchRequest = new SearchRequest();
SearchRequest searchRequest = new SearchRequest("mess");
// 2、用SearchSourceBuilder来构造查询请求体 ,请仔细查看它的方法，构造各种查询的方法都在这。
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
sourceBuilder.size(0);
//做查询建议
//词项建议
SuggestionBuilder termSuggestionBuilder =
SuggestBuilders.termSuggestion("user").text("kmichy");
SuggestBuilder suggestBuilder = new SuggestBuilder();
suggestBuilder.addSuggestion("suggest_user", termSuggestionBuilder);
sourceBuilder.suggest(suggestBuilder);
searchRequest.source(sourceBuilder);
//3、发送请求
SearchResponse searchResponse = client.search(searchRequest);
//4、处理响应
//搜索结果状态信息
if(RestStatus.OK.equals(searchResponse.status())) {
// 获取建议结果
Suggest suggest = searchResponse.getSuggest();
TermSuggestion termSuggestion = suggest.getSuggestion("suggest_user");
for (TermSuggestion.Entry entry : termSuggestion.getEntries()) {
logger.info("text: " + entry.getText().string());
for (TermSuggestion.Entry.Option option : entry) {
String suggestText = option.getText().string();
logger.info(" suggest option : " + suggestText);
}
}
}
/*
"suggest": {
"my-suggestion": [
{
"text": "tring",
"offset": 0,
"length": 5,
"options": [
{
"text": "trying",
"score": 0.8,
"freq": 1
}
]
},
{
"text": "out",
"offset": 6,
"length": 3,
"options": []
},
{
"text": "elasticsearch",
"offset": 10,
"length": 13,
"options": []
}
]
}*/
} catch (IOException e) {
logger.error(e);
}
}
//自动补全，根据用户的输入联想到可能的词或者短语
public static void completionSuggester() {
try (RestHighLevelClient client = InitDemo.getClient();) {
// 1、创建search请求
//SearchRequest searchRequest = new SearchRequest();
SearchRequest searchRequest = new SearchRequest("music");
// 2、用SearchSourceBuilder来构造查询请求体 ,请仔细查看它的方法，构造各种查询的方法都在这。
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
sourceBuilder.size(0);
//做查询建议
//自动补全
/*POST music/_search?pretty
{
"suggest": {
"song-suggest" : {
"prefix" : "lucene s",
"completion" : {
"field" : "suggest" ,
"skip_duplicates": true
}
}
}
}*/
SuggestionBuilder termSuggestionBuilder =
SuggestBuilders.completionSuggestion("suggest").prefix("lucene s")
.skipDuplicates(true);
SuggestBuilder suggestBuilder = new SuggestBuilder();
suggestBuilder.addSuggestion("song-suggest", termSuggestionBuilder);
sourceBuilder.suggest(suggestBuilder);
searchRequest.source(sourceBuilder);
//3、发送请求
SearchResponse searchResponse = client.search(searchRequest);
//4、处理响应
//搜索结果状态信息
if(RestStatus.OK.equals(searchResponse.status())) {
// 获取建议结果
Suggest suggest = searchResponse.getSuggest();
CompletionSuggestion termSuggestion = suggest.getSuggestion("song-suggest");
for (CompletionSuggestion.Entry entry : termSuggestion.getEntries()) {
logger.info("text: " + entry.getText().string());
for (CompletionSuggestion.Entry.Option option : entry) {
String suggestText = option.getText().string();
logger.info(" suggest option : " + suggestText);
}
}
}
} catch (IOException e) {
logger.error(e);
}
}
public static void main(String[] args) {
termSuggest();
logger.info("--------------------------------------");
completionSuggester();
}
}8. aggregation 聚合分析
AggregationDemo.java
package com.study.es_hrset_client;
import java.io.IOException;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.Aggregations;
import org.elasticsearch.search.aggregations.BucketOrder;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms.Bucket;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.avg.Avg;
import org.elasticsearch.search.builder.SearchSourceBuilder;
/**
*
* @Description: 聚合分析
* @author lgs
* @date 2018年6月23日
*
*/
public class AggregationDemo {
private static Logger logger = LogManager.getRootLogger();
public static void main(String[] args) {
try (RestHighLevelClient client = InitDemo.getClient();) {
// 1、创建search请求
//SearchRequest searchRequest = new SearchRequest();
SearchRequest searchRequest = new SearchRequest("bank");
// 2、用SearchSourceBuilder来构造查询请求体 ,请仔细查看它的方法，构造各种查询的方法都在这。
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
sourceBuilder.size(0);
//加入聚合
//字段值项分组聚合
TermsAggregationBuilder aggregation = AggregationBuilders.terms("by_age")
.field("age").order(BucketOrder.aggregation("average_balance", true));
//计算每组的平均balance指标
aggregation.subAggregation(AggregationBuilders.avg("average_balance")
.field("balance"));
sourceBuilder.aggregation(aggregation);
searchRequest.source(sourceBuilder);
//3、发送请求
SearchResponse searchResponse = client.search(searchRequest);
//4、处理响应
//搜索结果状态信息
if(RestStatus.OK.equals(searchResponse.status())) {
// 获取聚合结果
Aggregations aggregations = searchResponse.getAggregations();
Terms byAgeAggregation = aggregations.get("by_age");
logger.info("aggregation by_age 结果");
logger.info("docCountError: " + byAgeAggregation.getDocCountError());
logger.info("sumOfOtherDocCounts: " + byAgeAggregation.getSumOfOtherDocCounts());
logger.info("------------------------------------");
for(Bucket buck : byAgeAggregation.getBuckets()) {
logger.info("key: " + buck.getKeyAsNumber());
logger.info("docCount: " + buck.getDocCount());
logger.info("docCountError: " + buck.getDocCountError());
//取子聚合
Avg averageBalance = buck.getAggregations().get("average_balance");
logger.info("average_balance: " + averageBalance.getValue());
logger.info("------------------------------------");
}
//直接用key 来去分组
/*Bucket elasticBucket = byCompanyAggregation.getBucketByKey("24");
Avg averageAge = elasticBucket.getAggregations().get("average_age");
double avg = averageAge.getValue();*/
}
} catch (IOException e) {
logger.error(e);
}
}
}9. 官网资料
各种查询对应的QueryBuilder：
https://www.elastic.co/guide/en/elasticsearch/client/java-rest/current/java-rest-high-query-builders.html
各种聚合对应的AggregationBuilder：
https://www.elastic.co/guide/en/elasticsearch/client/java-rest/current/java-rest-high-aggregation-builders.html
四、Java Client
1. Java Client 说明
java client 使用 TransportClient，各种操作本质上都是异步的(可以用 listener，或返回 Future ）。
注意：ES的发展规划中在7.0版本开始将废弃 TransportClient，8.0版本中将完全移除 TransportClient，取而代之的是High Level REST Client。
High Level REST Client 中的操作API和java client 大多是一样的。
2. 官方学习链接
https://www.elastic.co/guide/en/elasticsearch/client/java-api/current/index.html
3. 兼容性说明
请使用与服务端ES版本一致的客户端版本
4. Java Client maven 集成
<dependency>
<groupId>org.elasticsearch.client</groupId>
<artifactId>transport</artifactId>
<version>6.2.4</version>
</dependency>5. Java Client logger 日志器说明
使用的是 log4j2 日志组件。
如果要使用其他的日志组件，可使用slf4j作桥
6. Init Client
Init Client setting 可用参数说明：
cluster.name
指定集群的名字，如果集群的名字不是默认的elasticsearch，需指定。
client.transport.sniff
设置为true,将自动嗅探整个集群，自动加入集群的节点到连接列表中。
client.transport.ignore_cluster_name
Set to true to ignore cluster name validation of connected nodes. (since 0.19.4)
client.transport.ping_timeout
The time to wait for a ping response from a node. Defaults to 5s.
client.transport.nodes_sampler_interval
How often to sample / ping the nodes listed and connected. Defaults to 5s.
五、Java Client使用示例
注意：TransPort客户端的使用和RESTful风格的使用基本一致，除了获取客户端不一样，还有发送请求有的不一样外
准备：
编写示例之前首先在maven工程里面引入和ES服务端版本一样的Java客户端
<dependency>
<groupId>org.elasticsearch.client</groupId>
<artifactId>transport</artifactId>
<version>6.2.4</version>
</dependency>给定集群的多个节点地址，将客户端负载均衡地向这个节点地址集发请求：
InitDemo.java
package com.study.es_java_client;
import java.net.InetAddress;
import java.net.UnknownHostException;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.transport.TransportAddress;
import org.elasticsearch.transport.client.PreBuiltTransportClient;
public class InitDemo {
private static TransportClient client;
public static TransportClient getClient() throws UnknownHostException {
if(client == null) {
//client = new PreBuiltTransportClient(Settings.EMPTY)
// 连接集群的设置
Settings settings = Settings.builder()
//.put("cluster.name", "myClusterName") //如果集群的名字不是默认的elasticsearch，需指定
.put("client.transport.sniff", true) //自动嗅探
.build();
client = new PreBuiltTransportClient(settings)
//.addTransportAddress(new TransportAddress(InetAddress.getByName("localhost"), 9300));
.addTransportAddress(new TransportAddress(InetAddress.getByName("127.0.0.1"), 9300));
//可用连接设置参数说明
/*
cluster.name
指定集群的名字，如果集群的名字不是默认的elasticsearch，需指定。
client.transport.sniff
设置为true,将自动嗅探整个集群，自动加入集群的节点到连接列表中。
client.transport.ignore_cluster_name
Set to true to ignore cluster name validation of connected nodes. (since 0.19.4)
client.transport.ping_timeout
The time to wait for a ping response from a node. Defaults to 5s.
client.transport.nodes_sampler_interval
How often to sample / ping the nodes listed and connected. Defaults to 5s.
*/
}
return client;
}
}注意使用ES的客户端时类比之前我们在Kibana进行的ES的相关操作，这样使用起来更加有效果
1. Create index 创建索引
CreateIndexDemo.java
package com.study.es_java_client;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import org.elasticsearch.action.admin.indices.alias.Alias;
import org.elasticsearch.action.admin.indices.create.CreateIndexRequest;
import org.elasticsearch.action.admin.indices.create.CreateIndexResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.xcontent.XContentType;
public class CreateIndexDemo {
public static void main(String[] args) {
//这里和RESTful风格不同
try (TransportClient client = InitDemo.getClient();) {
// 1、创建 创建索引request
CreateIndexRequest request = new CreateIndexRequest("mess");
// 2、设置索引的settings
request.settings(Settings.builder().put("index.number_of_shards", 3) // 分片数
.put("index.number_of_replicas", 2) // 副本数
.put("analysis.analyzer.default.tokenizer", "ik_smart") // 默认分词器
);
// 3、设置索引的mappings
request.mapping("_doc",
" {\n" +
" \"_doc\": {\n" +
" \"properties\": {\n" +
" \"message\": {\n" +
" \"type\": \"text\"\n" +
" }\n" +
" }\n" +
" }\n" +
" }",
XContentType.JSON);
// 4、 设置索引的别名
request.alias(new Alias("mmm"));
// 5、 发送请求 这里和RESTful风格不同
CreateIndexResponse createIndexResponse = client.admin().indices()
.create(request).get();
// 6、处理响应
boolean acknowledged = createIndexResponse.isAcknowledged();
boolean shardsAcknowledged = createIndexResponse
.isShardsAcknowledged();
System.out.println("acknowledged = " + acknowledged);
System.out.println("shardsAcknowledged = " + shardsAcknowledged);
// listener方式发送请求
/*ActionListener<CreateIndexResponse> listener = new ActionListener<CreateIndexResponse>() {
@Override
public void onResponse(
CreateIndexResponse createIndexResponse) {
// 6、处理响应
boolean acknowledged = createIndexResponse.isAcknowledged();
boolean shardsAcknowledged = createIndexResponse
.isShardsAcknowledged();
System.out.println("acknowledged = " + acknowledged);
System.out.println(
"shardsAcknowledged = " + shardsAcknowledged);
}
@Override
public void onFailure(Exception e) {
System.out.println("创建索引异常：" + e.getMessage());
}
};
client.admin().indices().create(request, listener);
*/
} catch (IOException | InterruptedException | ExecutionException e) {
e.printStackTrace();
}
}
}2. index document
索引文档，即往索引里面放入文档数据.类似于数据库里面向表里面插入一行数据，一行数据就是一个文档
IndexDocumentDemo.java
package com.study.es_java_client;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.ElasticsearchException;
import org.elasticsearch.action.DocWriteResponse;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.action.support.replication.ReplicationResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.xcontent.XContentType;
import org.elasticsearch.rest.RestStatus;
public class IndexDocumentDemo {
private static Logger logger = LogManager.getRootLogger();
public static void main(String[] args) {
//这里和RESTful风格不同
try (TransportClient client = InitDemo.getClient();) {
// 1、创建索引请求
IndexRequest request = new IndexRequest(
"mess", //索引
"_doc", // mapping type
"11"); //文档id
// 2、准备文档数据
// 方式一：直接给JSON串
String jsonString = "{" +
"\"user\":\"kimchy\"," +
"\"postDate\":\"2013-01-30\"," +
"\"message\":\"trying out Elasticsearch\"" +
"}";
request.source(jsonString, XContentType.JSON);
// 方式二：以map对象来表示文档
/*
Map<String, Object> jsonMap = new HashMap<>();
jsonMap.put("user", "kimchy");
jsonMap.put("postDate", new Date());
jsonMap.put("message", "trying out Elasticsearch");
request.source(jsonMap);
*/
// 方式三：用XContentBuilder来构建文档
/*
XContentBuilder builder = XContentFactory.jsonBuilder();
builder.startObject();
{
builder.field("user", "kimchy");
builder.field("postDate", new Date());
builder.field("message", "trying out Elasticsearch");
}
builder.endObject();
request.source(builder);
*/
// 方式四：直接用key-value对给出
/*
request.source("user", "kimchy",
"postDate", new Date(),
"message", "trying out Elasticsearch");
*/
//3、其他的一些可选设置
/*
request.routing("routing"); //设置routing值
request.timeout(TimeValue.timeValueSeconds(1)); //设置主分片等待时长
request.setRefreshPolicy("wait_for"); //设置重刷新策略
request.version(2); //设置版本号
request.opType(DocWriteRequest.OpType.CREATE); //操作类别
*/
//4、发送请求
IndexResponse indexResponse = null;
try {
//方式一： 用client.index 方法，返回是 ActionFuture<IndexResponse>，再调用get获取响应结果
indexResponse = client.index(request).get();
//方式二：client提供了一个 prepareIndex方法，内部为我们创建IndexRequest
/*IndexResponse indexResponse = client.prepareIndex("mess","_doc","11")
.setSource(jsonString, XContentType.JSON)
.get();*/
//方式三：request + listener
//client.index(request, listener);
} catch(ElasticsearchException e) {
// 捕获，并处理异常
//判断是否版本冲突、create但文档已存在冲突
if (e.status() == RestStatus.CONFLICT) {
logger.error("冲突了，请在此写冲突处理逻辑！\n" + e.getDetailedMessage());
}
logger.error("索引异常", e);
}catch (InterruptedException | ExecutionException e) {
logger.error("索引异常", e);
}
//5、处理响应
if(indexResponse != null) {
String index = indexResponse.getIndex();
String type = indexResponse.getType();
String id = indexResponse.getId();
long version = indexResponse.getVersion();
if (indexResponse.getResult() == DocWriteResponse.Result.CREATED) {
System.out.println("新增文档成功，处理逻辑代码写到这里。");
} else if (indexResponse.getResult() == DocWriteResponse.Result.UPDATED) {
System.out.println("修改文档成功，处理逻辑代码写到这里。");
}
// 分片处理信息
ReplicationResponse.ShardInfo shardInfo = indexResponse.getShardInfo();
if (shardInfo.getTotal() != shardInfo.getSuccessful()) {
}
// 如果有分片副本失败，可以获得失败原因信息
if (shardInfo.getFailed() > 0) {
for (ReplicationResponse.ShardInfo.Failure failure : shardInfo.getFailures()) {
String reason = failure.reason();
System.out.println("副本失败原因：" + reason);
}
}
}
//listener 方式
/*ActionListener<IndexResponse> listener = new ActionListener<IndexResponse>() {
@Override
public void onResponse(IndexResponse indexResponse) {
}
@Override
public void onFailure(Exception e) {
}
};
client.index(request, listener);
*/
} catch (IOException e) {
e.printStackTrace();
}
}
}3. get document
获取文档数据
GetDocumentDemo.java
package com.study.es_java_client;
import java.io.IOException;
import java.util.Map;
import java.util.concurrent.ExecutionException;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.ElasticsearchException;
import org.elasticsearch.action.get.GetRequest;
import org.elasticsearch.action.get.GetResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.Strings;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.fetch.subphase.FetchSourceContext;
public class GetDocumentDemo {
private static Logger logger = LogManager.getRootLogger();
public static void main(String[] args) {
//这里和RESTful风格不同
try (TransportClient client = InitDemo.getClient();) {
// 1、创建获取文档请求
GetRequest request = new GetRequest(
"mess", //索引
"_doc", // mapping type
"11"); //文档id
// 2、可选的设置
//request.routing("routing");
//request.version(2);
//request.fetchSourceContext(new FetchSourceContext(false)); //是否获取_source字段
//选择返回的字段
String[] includes = new String[]{"message", "*Date"};
String[] excludes = Strings.EMPTY_ARRAY;
FetchSourceContext fetchSourceContext = new FetchSourceContext(true, includes, excludes);
request.fetchSourceContext(fetchSourceContext);
//也可写成这样
/*String[] includes = Strings.EMPTY_ARRAY;
String[] excludes = new String[]{"message"};
FetchSourceContext fetchSourceContext = new FetchSourceContext(true, includes, excludes);
request.fetchSourceContext(fetchSourceContext);*/
// 取stored字段
/*request.storedFields("message");
GetResponse getResponse = client.get(request);
String message = getResponse.getField("message").getValue();*/
//3、发送请求
GetResponse getResponse = null;
try {
getResponse = client.get(request).get();
} catch (ElasticsearchException e) {
if (e.status() == RestStatus.NOT_FOUND) {
logger.error("没有找到该id的文档" );
}
if (e.status() == RestStatus.CONFLICT) {
logger.error("获取时版本冲突了，请在此写冲突处理逻辑！" );
}
logger.error("获取文档异常", e);
}catch (InterruptedException | ExecutionException e) {
logger.error("索引异常", e);
}
//4、处理响应
if(getResponse != null) {
String index = getResponse.getIndex();
String type = getResponse.getType();
String id = getResponse.getId();
if (getResponse.isExists()) { // 文档存在
long version = getResponse.getVersion();
String sourceAsString = getResponse.getSourceAsString(); //结果取成 String
Map<String, Object> sourceAsMap = getResponse.getSourceAsMap(); // 结果取成Map
byte[] sourceAsBytes = getResponse.getSourceAsBytes(); //结果取成字节数组
logger.info("index:" + index + " type:" + type + " id:" + id);
logger.info(sourceAsString);
} else {
logger.error("没有找到该id的文档" );
}
}
//异步方式发送获取文档请求
/*
ActionListener<GetResponse> listener = new ActionListener<GetResponse>() {
@Override
public void onResponse(GetResponse getResponse) {
}
@Override
public void onFailure(Exception e) {
}
};
client.getAsync(request, listener);
*/
} catch (IOException e) {
e.printStackTrace();
}
}
}4. Bulk
批量索引文档，即批量往索引里面放入文档数据.类似于数据库里面批量向表里面插入多行数据，一行数据就是一个文档
BulkDemo.java
package com.study.es_java_client;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.action.DocWriteRequest;
import org.elasticsearch.action.DocWriteResponse;
import org.elasticsearch.action.bulk.BulkItemResponse;
import org.elasticsearch.action.bulk.BulkRequest;
import org.elasticsearch.action.bulk.BulkResponse;
import org.elasticsearch.action.delete.DeleteResponse;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.action.update.UpdateResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.xcontent.XContentType;
public class BulkDemo {
private static Logger logger = LogManager.getRootLogger();
public static void main(String[] args) {
//这里和RESTful风格不同
try (TransportClient client = InitDemo.getClient();) {
// 1、创建批量操作请求
BulkRequest request = new BulkRequest();
request.add(new IndexRequest("mess", "_doc", "1")
.source(XContentType.JSON,"field", "foo"));
request.add(new IndexRequest("mess", "_doc", "2")
.source(XContentType.JSON,"field", "bar"));
request.add(new IndexRequest("mess", "_doc", "3")
.source(XContentType.JSON,"field", "baz"));
/*
request.add(new DeleteRequest("mess", "_doc", "3"));
request.add(new UpdateRequest("mess", "_doc", "2")
.doc(XContentType.JSON,"other", "test"));
request.add(new IndexRequest("mess", "_doc", "4")
.source(XContentType.JSON,"field", "baz"));
*/
// 2、可选的设置
/*
request.timeout("2m");
request.setRefreshPolicy("wait_for");
request.waitForActiveShards(2);
*/
//3、发送请求
// 同步请求
BulkResponse bulkResponse = client.bulk(request).get();
//4、处理响应
if(bulkResponse != null) {
for (BulkItemResponse bulkItemResponse : bulkResponse) {
DocWriteResponse itemResponse = bulkItemResponse.getResponse();
if (bulkItemResponse.getOpType() == DocWriteRequest.OpType.INDEX
|| bulkItemResponse.getOpType() == DocWriteRequest.OpType.CREATE) {
IndexResponse indexResponse = (IndexResponse) itemResponse;
//TODO 新增成功的处理
} else if (bulkItemResponse.getOpType() == DocWriteRequest.OpType.UPDATE) {
UpdateResponse updateResponse = (UpdateResponse) itemResponse;
//TODO 修改成功的处理
} else if (bulkItemResponse.getOpType() == DocWriteRequest.OpType.DELETE) {
DeleteResponse deleteResponse = (DeleteResponse) itemResponse;
//TODO 删除成功的处理
}
}
}
//异步方式发送批量操作请求
/*
ActionListener<BulkResponse> listener = new ActionListener<BulkResponse>() {
@Override
public void onResponse(BulkResponse bulkResponse) {
}
@Override
public void onFailure(Exception e) {
}
};
client.bulkAsync(request, listener);
*/
} catch (IOException | InterruptedException | ExecutionException e) {
e.printStackTrace();
}
}
}5. search
搜索数据
SearchDemo.java
package com.study.es_java_client;
import java.io.IOException;
import java.util.Map;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.action.search.ShardSearchFailure;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.unit.TimeValue;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
public class SearchDemo {
private static Logger logger = LogManager.getRootLogger();
public static void main(String[] args) {
try (TransportClient client = InitDemo.getClient();) {
// 1、创建search请求
//SearchRequest searchRequest = new SearchRequest();
SearchRequest searchRequest = new SearchRequest("bank");
searchRequest.types("_doc");
// 2、用SearchSourceBuilder来构造查询请求体 ,请仔细查看它的方法，构造各种查询的方法都在这。
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
//构造QueryBuilder
/*QueryBuilder matchQueryBuilder = QueryBuilders.matchQuery("user", "kimchy")
.fuzziness(Fuzziness.AUTO)
.prefixLength(3)
.maxExpansions(10);
sourceBuilder.query(matchQueryBuilder);*/
sourceBuilder.query(QueryBuilders.termQuery("age", 24));
sourceBuilder.from(0);
sourceBuilder.size(10);
sourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS));
//是否返回_source字段
//sourceBuilder.fetchSource(false);
//设置返回哪些字段
/*String[] includeFields = new String[] {"title", "user", "innerObject.*"};
String[] excludeFields = new String[] {"_type"};
sourceBuilder.fetchSource(includeFields, excludeFields);*/
//指定排序
//sourceBuilder.sort(new ScoreSortBuilder().order(SortOrder.DESC));
//sourceBuilder.sort(new FieldSortBuilder("_uid").order(SortOrder.ASC));
// 设置返回 profile
//sourceBuilder.profile(true);
//将请求体加入到请求中
searchRequest.source(sourceBuilder);
// 可选的设置
//searchRequest.routing("routing");
// 高亮设置
/*
HighlightBuilder highlightBuilder = new HighlightBuilder();
HighlightBuilder.Field highlightTitle =
new HighlightBuilder.Field("title");
highlightTitle.highlighterType("unified");
highlightBuilder.field(highlightTitle);
HighlightBuilder.Field highlightUser = new HighlightBuilder.Field("user");
highlightBuilder.field(highlightUser);
sourceBuilder.highlighter(highlightBuilder);*/
//加入聚合
/*TermsAggregationBuilder aggregation = AggregationBuilders.terms("by_company")
.field("company.keyword");
aggregation.subAggregation(AggregationBuilders.avg("average_age")
.field("age"));
sourceBuilder.aggregation(aggregation);*/
//做查询建议
/*SuggestionBuilder termSuggestionBuilder =
SuggestBuilders.termSuggestion("user").text("kmichy");
SuggestBuilder suggestBuilder = new SuggestBuilder();
suggestBuilder.addSuggestion("suggest_user", termSuggestionBuilder);
sourceBuilder.suggest(suggestBuilder);*/
//3、发送请求
SearchResponse searchResponse = client.search(searchRequest).get();
//4、处理响应
//搜索结果状态信息
RestStatus status = searchResponse.status();
TimeValue took = searchResponse.getTook();
Boolean terminatedEarly = searchResponse.isTerminatedEarly();
boolean timedOut = searchResponse.isTimedOut();
//分片搜索情况
int totalShards = searchResponse.getTotalShards();
int successfulShards = searchResponse.getSuccessfulShards();
int failedShards = searchResponse.getFailedShards();
for (ShardSearchFailure failure : searchResponse.getShardFailures()) {
// failures should be handled here
}
//处理搜索命中文档结果
SearchHits hits = searchResponse.getHits();
long totalHits = hits.getTotalHits();
float maxScore = hits.getMaxScore();
SearchHit[] searchHits = hits.getHits();
for (SearchHit hit : searchHits) {
// do something with the SearchHit
String index = hit.getIndex();
String type = hit.getType();
String id = hit.getId();
float score = hit.getScore();
//取_source字段值
String sourceAsString = hit.getSourceAsString(); //取成json串
Map<String, Object> sourceAsMap = hit.getSourceAsMap(); // 取成map对象
//从map中取字段值
/*
String documentTitle = (String) sourceAsMap.get("title");
List<Object> users = (List<Object>) sourceAsMap.get("user");
Map<String, Object> innerObject = (Map<String, Object>) sourceAsMap.get("innerObject");
*/
logger.info("index:" + index + " type:" + type + " id:" + id);
logger.info(sourceAsString);
//取高亮结果
/*Map<String, HighlightField> highlightFields = hit.getHighlightFields();
HighlightField highlight = highlightFields.get("title");
Text[] fragments = highlight.fragments();
String fragmentString = fragments[0].string();*/
}
// 获取聚合结果
/*
Aggregations aggregations = searchResponse.getAggregations();
Terms byCompanyAggregation = aggregations.get("by_company");
Bucket elasticBucket = byCompanyAggregation.getBucketByKey("Elastic");
Avg averageAge = elasticBucket.getAggregations().get("average_age");
double avg = averageAge.getValue();
*/
// 获取建议结果
/*Suggest suggest = searchResponse.getSuggest();
TermSuggestion termSuggestion = suggest.getSuggestion("suggest_user");
for (TermSuggestion.Entry entry : termSuggestion.getEntries()) {
for (TermSuggestion.Entry.Option option : entry) {
String suggestText = option.getText().string();
}
}
*/
//异步方式发送获查询请求
/*
ActionListener<SearchResponse> listener = new ActionListener<SearchResponse>() {
@Override
public void onResponse(SearchResponse getResponse) {
//结果获取
}
@Override
public void onFailure(Exception e) {
//失败处理
}
};
client.searchAsync(searchRequest, listener);
*/
} catch (IOException | InterruptedException | ExecutionException e) {
logger.error(e);
}
}
}6. highlight 高亮
HighlightDemo.java
package com.study.es_java_client;
import java.io.IOException;
import java.util.Map;
import java.util.concurrent.ExecutionException;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.text.Text;
import org.elasticsearch.index.query.QueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
public class HighlightDemo {
private static Logger logger = LogManager.getRootLogger();
public static void main(String[] args) {
try (TransportClient client = InitDemo.getClient();) {
// 1、创建search请求
SearchRequest searchRequest = new SearchRequest("hl_test");
// 2、用SearchSourceBuilder来构造查询请求体 ,请仔细查看它的方法，构造各种查询的方法都在这。
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
//构造QueryBuilder
QueryBuilder matchQueryBuilder = QueryBuilders.matchQuery("title", "lucene solr");
sourceBuilder.query(matchQueryBuilder);
//分页设置
/*sourceBuilder.from(0);
sourceBuilder.size(5); ;*/
// 高亮设置
HighlightBuilder highlightBuilder = new HighlightBuilder();
highlightBuilder.requireFieldMatch(false).field("title").field("content")
.preTags("<strong>").postTags("</strong>");
//不同字段可有不同设置，如不同标签
/*HighlightBuilder.Field highlightTitle = new HighlightBuilder.Field("title");
highlightTitle.preTags("<strong>").postTags("</strong>");
highlightBuilder.field(highlightTitle);
HighlightBuilder.Field highlightContent = new HighlightBuilder.Field("content");
highlightContent.preTags("<b>").postTags("</b>");
highlightBuilder.field(highlightContent).requireFieldMatch(false);*/
sourceBuilder.highlighter(highlightBuilder);
searchRequest.source(sourceBuilder);
//3、发送请求
SearchResponse searchResponse = client.search(searchRequest).get();
//4、处理响应
if(RestStatus.OK.equals(searchResponse.status())) {
//处理搜索命中文档结果
SearchHits hits = searchResponse.getHits();
long totalHits = hits.getTotalHits();
SearchHit[] searchHits = hits.getHits();
for (SearchHit hit : searchHits) {
String index = hit.getIndex();
String type = hit.getType();
String id = hit.getId();
float score = hit.getScore();
//取_source字段值
//String sourceAsString = hit.getSourceAsString(); //取成json串
Map<String, Object> sourceAsMap = hit.getSourceAsMap(); // 取成map对象
//从map中取字段值
/*String title = (String) sourceAsMap.get("title");
String content = (String) sourceAsMap.get("content"); */
logger.info("index:" + index + " type:" + type + " id:" + id);
logger.info("sourceMap : " + sourceAsMap);
//取高亮结果
Map<String, HighlightField> highlightFields = hit.getHighlightFields();
HighlightField highlight = highlightFields.get("title");
if(highlight != null) {
Text[] fragments = highlight.fragments(); //多值的字段会有多个值
if(fragments != null) {
String fragmentString = fragments[0].string();
logger.info("title highlight : " + fragmentString);
//可用高亮字符串替换上面sourceAsMap中的对应字段返回到上一级调用
//sourceAsMap.put("title", fragmentString);
}
}
highlight = highlightFields.get("content");
if(highlight != null) {
Text[] fragments = highlight.fragments(); //多值的字段会有多个值
if(fragments != null) {
String fragmentString = fragments[0].string();
logger.info("content highlight : " + fragmentString);
//可用高亮字符串替换上面sourceAsMap中的对应字段返回到上一级调用
//sourceAsMap.put("content", fragmentString);
}
}
}
}
} catch (IOException | InterruptedException | ExecutionException e) {
logger.error(e);
}
}
}7. suggest 查询建议
SuggestDemo.java
package com.study.es_java_client;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.suggest.Suggest;
import org.elasticsearch.search.suggest.SuggestBuilder;
import org.elasticsearch.search.suggest.SuggestBuilders;
import org.elasticsearch.search.suggest.SuggestionBuilder;
import org.elasticsearch.search.suggest.completion.CompletionSuggestion;
import org.elasticsearch.search.suggest.term.TermSuggestion;
public class SuggestDemo {
private static Logger logger = LogManager.getRootLogger();
//拼写检查
public static void termSuggest(TransportClient client) {
// 1、创建search请求
//SearchRequest searchRequest = new SearchRequest();
SearchRequest searchRequest = new SearchRequest("mess");
// 2、用SearchSourceBuilder来构造查询请求体 ,请仔细查看它的方法，构造各种查询的方法都在这。
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
sourceBuilder.size(0);
//做查询建议
//词项建议
SuggestionBuilder termSuggestionBuilder =
SuggestBuilders.termSuggestion("user").text("kmichy");
SuggestBuilder suggestBuilder = new SuggestBuilder();
suggestBuilder.addSuggestion("suggest_user", termSuggestionBuilder);
sourceBuilder.suggest(suggestBuilder);
searchRequest.source(sourceBuilder);
try{
//3、发送请求
SearchResponse searchResponse = client.search(searchRequest).get();
//4、处理响应
//搜索结果状态信息
if(RestStatus.OK.equals(searchResponse.status())) {
// 获取建议结果
Suggest suggest = searchResponse.getSuggest();
TermSuggestion termSuggestion = suggest.getSuggestion("suggest_user");
for (TermSuggestion.Entry entry : termSuggestion.getEntries()) {
logger.info("text: " + entry.getText().string());
for (TermSuggestion.Entry.Option option : entry) {
String suggestText = option.getText().string();
logger.info(" suggest option : " + suggestText);
}
}
}
} catch (InterruptedException | ExecutionException e) {
logger.error(e);
}
/*
"suggest": {
"my-suggestion": [
{
"text": "tring",
"offset": 0,
"length": 5,
"options": [
{
"text": "trying",
"score": 0.8,
"freq": 1
}
]
},
{
"text": "out",
"offset": 6,
"length": 3,
"options": []
},
{
"text": "elasticsearch",
"offset": 10,
"length": 13,
"options": []
}
]
}*/
}
//自动补全
public static void completionSuggester(TransportClient client) {
// 1、创建search请求
//SearchRequest searchRequest = new SearchRequest();
SearchRequest searchRequest = new SearchRequest("music");
// 2、用SearchSourceBuilder来构造查询请求体 ,请仔细查看它的方法，构造各种查询的方法都在这。
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
sourceBuilder.size(0);
//做查询建议
//自动补全
/*POST music/_search?pretty
{
"suggest": {
"song-suggest" : {
"prefix" : "lucene s",
"completion" : {
"field" : "suggest" ,
"skip_duplicates": true
}
}
}
}*/
SuggestionBuilder termSuggestionBuilder =
SuggestBuilders.completionSuggestion("suggest").prefix("lucene s")
.skipDuplicates(true);
SuggestBuilder suggestBuilder = new SuggestBuilder();
suggestBuilder.addSuggestion("song-suggest", termSuggestionBuilder);
sourceBuilder.suggest(suggestBuilder);
searchRequest.source(sourceBuilder);
try {
//3、发送请求
SearchResponse searchResponse = client.search(searchRequest).get();
//4、处理响应
//搜索结果状态信息
if(RestStatus.OK.equals(searchResponse.status())) {
// 获取建议结果
Suggest suggest = searchResponse.getSuggest();
CompletionSuggestion termSuggestion = suggest.getSuggestion("song-suggest");
for (CompletionSuggestion.Entry entry : termSuggestion.getEntries()) {
logger.info("text: " + entry.getText().string());
for (CompletionSuggestion.Entry.Option option : entry) {
String suggestText = option.getText().string();
logger.info(" suggest option : " + suggestText);
}
}
}
} catch (InterruptedException | ExecutionException e) {
logger.error(e);
}
}
public static void main(String[] args) {
try (TransportClient client = InitDemo.getClient();) {
termSuggest(client);
logger.info("--------------------------------------");
completionSuggester(client);
} catch (IOException e) {
logger.error(e);
}
}
}8. aggregation 聚合分析
AggregationDemo.java
package com.study.es_java_client;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.rest.RestStatus;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.Aggregations;
import org.elasticsearch.search.aggregations.BucketOrder;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms.Bucket;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.aggregations.metrics.avg.Avg;
import org.elasticsearch.search.builder.SearchSourceBuilder;
public class AggregationDemo {
private static Logger logger = LogManager.getRootLogger();
public static void main(String[] args) {
try (TransportClient client = InitDemo.getClient();) {
// 1、创建search请求
//SearchRequest searchRequest = new SearchRequest();
SearchRequest searchRequest = new SearchRequest("bank");
// 2、用SearchSourceBuilder来构造查询请求体 ,请仔细查看它的方法，构造各种查询的方法都在这。
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
sourceBuilder.size(0);
//加入聚合
//字段值项分组聚合
TermsAggregationBuilder aggregation = AggregationBuilders.terms("by_age")
.field("age").order(BucketOrder.aggregation("average_balance", true));
//计算每组的平均balance指标
aggregation.subAggregation(AggregationBuilders.avg("average_balance")
.field("balance"));
sourceBuilder.aggregation(aggregation);
searchRequest.source(sourceBuilder);
//3、发送请求
SearchResponse searchResponse = client.search(searchRequest).get();
//4、处理响应
//搜索结果状态信息
if(RestStatus.OK.equals(searchResponse.status())) {
// 获取聚合结果
Aggregations aggregations = searchResponse.getAggregations();
Terms byAgeAggregation = aggregations.get("by_age");
logger.info("aggregation by_age 结果");
logger.info("docCountError: " + byAgeAggregation.getDocCountError());
logger.info("sumOfOtherDocCounts: " + byAgeAggregation.getSumOfOtherDocCounts());
logger.info("------------------------------------");
for(Bucket buck : byAgeAggregation.getBuckets()) {
logger.info("key: " + buck.getKeyAsNumber());
logger.info("docCount: " + buck.getDocCount());
//logger.info("docCountError: " + buck.getDocCountError());
//取子聚合
Avg averageBalance = buck.getAggregations().get("average_balance");
logger.info("average_balance: " + averageBalance.getValue());
logger.info("------------------------------------");
}
//直接用key 来去分组
/*Bucket elasticBucket = byCompanyAggregation.getBucketByKey("24");
Avg averageAge = elasticBucket.getAggregations().get("average_age");
double avg = averageAge.getValue();*/
}
} catch (IOException | InterruptedException | ExecutionException e) {
logger.error(e);
}
}
}9. 官网文档
Document API 文档操作API：
https://www.elastic.co/guide/en/elasticsearch/client/java-api/6.2/java-docs.html
Search API：
https://www.elastic.co/guide/en/elasticsearch/client/java-api/6.2/java-search.html
六、Spring Data Elasticsearch
ES与Spring集成使用，可以作为了解，个人建议还是使用原生的ES的java客户端
官网链接：
https://docs.spring.io/spring-data/elasticsearch/docs/current/reference/html/
代码库：
https://github.com/spring-projects/spring-data-elasticsearch
七、源代码获取地址
https://github.com/leeSmall/Elasticsearch-Java-client-api
转自：https://www.cnblogs.com/leeSmall/p/9218779.html
注:想学习es相关知识，请到https://www.cnblogs.com/leeSmall/p/9218779.html连接下查找详细信息，该博客写的很好
关于Java 服务器挂掉 很频繁和java服务经常自己挂的问题我们已经讲解完毕，感谢您的阅读，如果还想了解更多关于4-1 如何定义 Java 中的方法；Java 中无参无返回值方法的使用；Java 中无参带返回值方法的使用；、5-2 Java 中的 static 使用之静态变量 ;;Java 中的 static 使用之静态方法;;Java 中的 static 使用之静态初始化块、ArrayMap java.lang.ClassCastException: java.lang.String cannot be cast to java.lang.Object[]、Elasticsearch Java client（ES Client 简介、Java REST Client、Java Client、Spring Data Elasticsearch）等相关内容，可以在本站寻找。
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