2017-10-21 121 views
-1

當榛子投上時,性能下降。當榛子投上時,性能下降

我是新來的榛樹服務,需要一些幫助。希望專家們在這裏做出一些迴應。

對象引用,當客戶端命中平靜的服務時,HTTP調用的響應速度減慢400%(2秒),如下圖所示。 https://drive.google.com/open?id=0ByIpkcJW-nHLVHJWRzJkOHFPdkE

如果hazelcast之一是關閉的,響應速度快(500毫秒)

有3K左右的結果從HTTP REST的服務調用返回。

設置上的任何建議可以解決性能問題?或者安裝有問題

以下是關於寧靜服務的其他信息。

HTTP URL和響應數據

URL: http://10.1.1.1/data/api/zipcode 



{"content":[{"resourceId":0,"version":0,"name":"00000","deleted":false,"defaultFlag":false,"cityId":0,"active":true}, 
{"resourceId":1,"version":0,"name":"01000","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":4,"version":0,"name":"01500","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":5,"version":0,"name":"01502","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":6,"version":0,"name":"01503","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":7,"version":0,"name":"01504","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":8,"version":0,"name":"01505","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":9,"version":0,"name":"01506","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":10,"version":0,"name":"01508","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":11,"version":0,"name":"01512","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":12,"version":0,"name":"01514","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":13,"version":0,"name":"01516","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":14,"version":0,"name":"01517","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":15,"version":0,"name":"01518","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":16,"version":0,"name":"01524","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":17,"version":0,"name":"01529","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":18,"version":0,"name":"01532","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":19,"version":0,"name":"01538","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":20,"version":0,"name":"01540","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":21,"version":0,"name":"01546","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":22,"version":0,"name":"01550","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":23,"version":0,"name":"01551","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":24,"version":0,"name":"01556","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":25,"version":0,"name":"01560","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
{"resourceId":26,"version":0,"name":"01564","deleted":false,"defaultFlag":false,"cityId":1,"active":true}, 
... 
{"resourceId":3000,"version":0,"name":"01564","deleted":false,"defaultFlag":false,"cityId":1,"active":true} 

hazelcast.xml

<?xml version="1.0" encoding="UTF-8"?> 
<!-- 
    ~ Copyright (c) 2008-2015, Hazelcast, Inc. All Rights Reserved. 
    ~ 
    ~ Licensed under the Apache License, Version 2.0 (the "License"); 
    ~ you may not use this file except in compliance with the License. 
    ~ You may obtain a copy of the License at 
    ~ 
    ~ http://www.apache.org/licenses/LICENSE-2.0 
    ~ 
    ~ Unless required by applicable law or agreed to in writing, software 
    ~ distributed under the License is distributed on an "AS IS" BASIS, 
    ~ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 
    ~ See the License for the specific language governing permissions and 
    ~ limitations under the License. 
    --> 

<!-- 
    The default Hazelcast configuration. This is used when: 

    - no hazelcast.xml if present 

--> 
<hazelcast xsi:schemaLocation="http://www.hazelcast.com/schema/config hazelcast-config-3.5.xsd" 
      xmlns="http://www.hazelcast.com/schema/config" 
      xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> 
    <group> 
     <name>dev</name> 
     <password>dev-pass</password> 
    </group> 
    <management-center enabled="true">http://localhost:8080/mancenter</management-center> 
    <network> 
     <port auto-increment="true" port-count="100">5701</port> 
     <outbound-ports> 
      <!-- 
      Allowed port range when connecting to other nodes. 
      0 or * means use system provided port. 
      --> 
      <ports>0</ports> 
     </outbound-ports> 
     <join> 
      <multicast enabled="true"> 
       <multicast-group>224.2.2.3</multicast-group> 
       <multicast-port>54327</multicast-port> 
      </multicast> 
      <tcp-ip enabled="false"> 
       <interface>127.0.0.1</interface> 
       <member-list> 
        <member>127.0.0.1</member> 
       </member-list> 
      </tcp-ip> 
      <aws enabled="false"> 
       <access-key>my-access-key</access-key> 
       <secret-key>my-secret-key</secret-key> 
       <!--optional, default is us-east-1 --> 
       <region>us-west-1</region> 
       <!--optional, default is ec2.amazonaws.com. If set, region shouldn't be set as it will override this property --> 
       <host-header>ec2.amazonaws.com</host-header> 
       <!-- optional, only instances belonging to this group will be discovered, default will try all running instances --> 
       <security-group-name>hazelcast-sg</security-group-name> 
       <tag-key>type</tag-key> 
       <tag-value>hz-nodes</tag-value> 
      </aws> 
     </join> 
     <interfaces enabled="false"> 
      <interface>10.10.1.*</interface> 
     </interfaces> 
     <ssl enabled="false"/> 
     <socket-interceptor enabled="false"/> 
     <symmetric-encryption enabled="false"> 
      <!-- 
       encryption algorithm such as 
       DES/ECB/PKCS5Padding, 
       PBEWithMD5AndDES, 
       AES/CBC/PKCS5Padding, 
       Blowfish, 
       DESede 
      --> 
      <algorithm>PBEWithMD5AndDES</algorithm> 
      <!-- salt value to use when generating the secret key --> 
      <salt>thesalt</salt> 
      <!-- pass phrase to use when generating the secret key --> 
      <password>thepass</password> 
      <!-- iteration count to use when generating the secret key --> 
      <iteration-count>19</iteration-count> 
     </symmetric-encryption> 
    </network> 
    <partition-group enabled="false"/> 
    <executor-service name="default"> 
     <pool-size>16</pool-size> 
     <!--Queue capacity. 0 means Integer.MAX_VALUE.--> 
     <queue-capacity>0</queue-capacity> 
    </executor-service> 
    <queue name="default"> 
     <!-- 
      Maximum size of the queue. When a JVM's local queue size reaches the maximum, 
      all put/offer operations will get blocked until the queue size 
      of the JVM goes down below the maximum. 
      Any integer between 0 and Integer.MAX_VALUE. 0 means 
      Integer.MAX_VALUE. Default is 0. 
     --> 
     <max-size>0</max-size> 
     <!-- 
      Number of backups. If 1 is set as the backup-count for example, 
      then all entries of the map will be copied to another JVM for 
      fail-safety. 0 means no backup. 
     --> 
     <backup-count>1</backup-count> 

     <!-- 
      Number of async backups. 0 means no backup. 
     --> 
     <async-backup-count>0</async-backup-count> 

     <empty-queue-ttl>-1</empty-queue-ttl> 
    </queue> 
    <map name="default"> 
     <!-- 
      Data type that will be used for storing recordMap. 
      Possible values: 
      BINARY (default): keys and values will be stored as binary data 
      OBJECT : values will be stored in their object forms 
      NATIVE : values will be stored in non-heap region of JVM 
     --> 
     <in-memory-format>BINARY</in-memory-format> 

     <!-- 
      Number of backups. If 1 is set as the backup-count for example, 
      then all entries of the map will be copied to another JVM for 
      fail-safety. 0 means no backup. 
     --> 
     <backup-count>1</backup-count> 
     <read-backup-data>false</read-backup-data> 
     <!-- 
      Number of async backups. 0 means no backup. 
     --> 
     <async-backup-count>0</async-backup-count> 
     <!-- 
      Maximum number of seconds for each entry to stay in the map. Entries that are 
      older than <time-to-live-seconds> and not updated for <time-to-live-seconds> 
      will get automatically evicted from the map. 
      Any integer between 0 and Integer.MAX_VALUE. 0 means infinite. Default is 0. 
     --> 
     <time-to-live-seconds>0</time-to-live-seconds> 
     <!-- 
      Maximum number of seconds for each entry to stay idle in the map. Entries that are 
      idle(not touched) for more than <max-idle-seconds> will get 
      automatically evicted from the map. Entry is touched if get, put or containsKey is called. 
      Any integer between 0 and Integer.MAX_VALUE. 0 means infinite. Default is 0. 
     --> 
     <max-idle-seconds>0</max-idle-seconds> 
     <!-- 
      Valid values are: 
      NONE (no eviction), 
      LRU (Least Recently Used), 
      LFU (Least Frequently Used). 
      NONE is the default. 
     --> 
     <eviction-policy>NONE</eviction-policy> 
     <!-- 
      Maximum size of the map. When max size is reached, 
      map is evicted based on the policy defined. 
      Any integer between 0 and Integer.MAX_VALUE. 0 means 
      Integer.MAX_VALUE. Default is 0. 
     --> 
     <max-size policy="PER_NODE">0</max-size> 
     <!-- 
      When max. size is reached, specified percentage of 
      the map will be evicted. Any integer between 0 and 100. 
      If 25 is set for example, 25% of the entries will 
      get evicted. 
     --> 
     <eviction-percentage>100</eviction-percentage> 
     <!-- 
      Minimum time in milliseconds which should pass before checking 
      if a partition of this map is evictable or not. 
      Default value is 100 millis. 
     --> 
     <min-eviction-check-millis>100</min-eviction-check-millis> 
     <!-- 
      While recovering from split-brain (network partitioning), 
      map entries in the small cluster will merge into the bigger cluster 
      based on the policy set here. When an entry merge into the 
      cluster, there might an existing entry with the same key already. 
      Values of these entries might be different for that same key. 
      Which value should be set for the key? Conflict is resolved by 
      the policy set here. Default policy is PutIfAbsentMapMergePolicy 

      There are built-in merge policies such as 
      com.hazelcast.map.merge.PassThroughMergePolicy; entry will be overwritten if merging entry exists for the key. 
      com.hazelcast.map.merge.PutIfAbsentMapMergePolicy ; entry will be added if the merging entry doesn't exist in the cluster. 
      com.hazelcast.map.merge.HigherHitsMapMergePolicy ; entry with the higher hits wins. 
      com.hazelcast.map.merge.LatestUpdateMapMergePolicy ; entry with the latest update wins. 
     --> 
     <merge-policy>com.hazelcast.map.merge.PassThroughMergePolicy</merge-policy> 

    </map> 

    <multimap name="default"> 
     <backup-count>1</backup-count> 
     <value-collection-type>SET</value-collection-type> 
    </multimap> 

    <list name="default"> 
     <backup-count>1</backup-count> 
    </list> 

    <set name="default"> 
     <backup-count>1</backup-count> 
    </set> 

    <jobtracker name="default"> 
     <max-thread-size>0</max-thread-size> 
     <!-- Queue size 0 means number of partitions * 2 --> 
     <queue-size>0</queue-size> 
     <retry-count>0</retry-count> 
     <chunk-size>1000</chunk-size> 
     <communicate-stats>true</communicate-stats> 
     <topology-changed-strategy>CANCEL_RUNNING_OPERATION</topology-changed-strategy> 
    </jobtracker> 

    <semaphore name="default"> 
     <initial-permits>0</initial-permits> 
     <backup-count>1</backup-count> 
     <async-backup-count>0</async-backup-count> 
    </semaphore> 

    <!--reliable-topic name="default"> 
     <read-batch-size>10</read-batch-size> 
     <topic-overload-policy>BLOCK</topic-overload-policy> 
     <statistics-enabled>true</statistics-enabled> 
    </reliable-topic> 

    <ringbuffer name="default"> 
     <capacity>10000</capacity> 
     <backup-count>1</backup-count> 
     <async-backup-count>0</async-backup-count> 
     <time-to-live-seconds>30</time-to-live-seconds> 
     <in-memory-format>BINARY</in-memory-format> 
    </ringbuffer--> 

    <serialization> 
     <portable-version>0</portable-version> 
    </serialization> 

    <services enable-defaults="true"/> 

</hazelcast> 

hazelcast.config

JAVA_OPTS=" -server -Xms3000m -Xmx3000m -d64 -cp /opt/hazelcast/compile/hazelcast-3.5.5.jar:/opt/hazelcast/compile/hazelcast-client-3.5.5.jar:/opt/hazelcast/compile/hazelcast-hibernate4-3.5.5.jar:/opt/hazelcast/provided/annotations-1.3.2.jar:/opt/hazelcast/provided/antlr-2.7.7.jar:/opt/hazelcast/provided/cache-api-1.0.0.jar:/opt/hazelcast/provided/dom4j-1.6.1.jar:/opt/hazelcast/provided/hibernate-commons-annotations-4.0.5.Final.jar:/opt/hazelcast/provided/hibernate-core-4.3.8.Final.jar:/opt/hazelcast/provided/hibernate-jpa-2.1-api-1.0.0.Final.jar:/opt/hazelcast/provided/jandex-1.1.0.Final.jar:/opt/hazelcast/provided/javassist-3.18.1-GA.jar:/opt/hazelcast/provided/jboss-logging-3.1.3.GA.jar:/opt/hazelcast/provided/jboss-logging-annotations-1.2.0.Beta1.jar:/opt/hazelcast/provided/jboss-transaction-api_1.2_spec-1.0.0.Final.jar:/opt/hazelcast/provided/xml-apis-1.0.b2.jar -Dhazelcast.config=/etc/hazelcast/hazelcast.xml -Dhazelcast.jmx=true" 

榛投mancenter信息

Number of Processors: 4 
Start Time: Sat Oct 21 15:56:11 MYT 2017 
Up Time: 0 days, 0 hours, 0 minutes, 15 seconds 
Maximum Memory: 2.81 GB 
Total Memory: 2.81 GB 
Free Memory: 2.45 GB 
Used Heap Memory: 363.41 MB 
Max Heap Memory: 2.81 GB 
Used Non-Heap Memory: 24.47 MB 
Max Non-Heap Memory: 214 MB 
Total Loaded Classes: 4578 
Current Loaded Classes: 4578 
Total Unloaded Classes: 0 
Total Thread Count: 40 
Active Thread Count: 39 
Peak Thread Count: 39 
Daemon Thread Count: 5 
OS: Free Physical Memory: 2.81 GB 
OS: Committed Virtual Memory: 5.44 GB 
OS: Total Physical Memory: 7.64 GB 
OS: Free Swap Space: 16 GB 
OS: Total Swap Space: 16 GB 
OS: Maximum File Descriptor Count: 4096 
OS: Open File Descriptor Count: 57 
OS: Process CPU Time: 0 days, 0 hours, 0 minutes, 7 seconds 
OS: Process CPU Load: 4.0 % 
OS: System Load Average: 25.0 % 
OS: System CPU Load: 4.0 % 

密鑰和數據結構

import java.util.Date; 
import java.util.Objects; 

import javax.persistence.Access; 
import javax.persistence.AccessType; 
import javax.persistence.Cacheable; 
import javax.persistence.Column; 
import javax.persistence.Entity; 
import javax.persistence.FetchType; 
import javax.persistence.GeneratedValue; 
import javax.persistence.GenerationType; 
import javax.persistence.Id; 
import javax.persistence.Index; 
import javax.persistence.JoinColumn; 
import javax.persistence.ManyToOne; 
import javax.persistence.Table; 
import javax.persistence.TableGenerator; 
import javax.persistence.Temporal; 
import javax.persistence.TemporalType; 
import javax.persistence.UniqueConstraint; 
import javax.validation.constraints.NotNull; 
import javax.validation.constraints.Size; 

import org.hibernate.annotations.Cache; 
import org.hibernate.annotations.CacheConcurrencyStrategy; 
import org.hibernate.validator.constraints.NotBlank; 

import com.fasterxml.jackson.annotation.JsonIdentityInfo; 
import com.fasterxml.jackson.annotation.ObjectIdGenerators; 

import lombok.AllArgsConstructor; 
import lombok.Getter; 
import lombok.NoArgsConstructor; 
import lombok.Setter; 
import lombok.ToString; 

/** 
* <p>PostCode class.</p> 
* 
* @since 1.0.0 
*/ 
@Entity 
@Table(name = "REF_POSTCODE", 
     uniqueConstraints = {@UniqueConstraint(columnNames = { "name", "city_id", "deleted_date" }) }, 
     indexes = { @Index(columnList = "city_id"), 
        @Index(columnList = "name")}) 
@Cacheable 
@Cache(usage = CacheConcurrencyStrategy.NONSTRICT_READ_WRITE, 
     region = "my.xxxxx.lookup.entity.PostCode") 
@JsonIdentityInfo(generator = ObjectIdGenerators.PropertyGenerator.class, property = "id") 
@Getter @Setter @AllArgsConstructor @NoArgsConstructor @ToString(callSuper = true) 
public class PostCode extends AbstractEntity<Integer> { 

    /** Constant <code>serialVersionUID=-8547924718051529341L</code> */ 
    private static final long serialVersionUID = -8547924718051529341L; 

    @Id 
    @Access(AccessType.PROPERTY) 
    @TableGenerator(name = APP_SEQ_GENERATOR, table = APP_SEQ_TABLE, pkColumnName = SEQ_NAME_COL, pkColumnValue = "postCode.ID", valueColumnName = SEQ_VAL_COL, initialValue = INITIAL_VALUE, allocationSize = 1) 
    @GeneratedValue(strategy = GenerationType.TABLE, generator = APP_SEQ_GENERATOR) 
    private Integer id; 

    @NotBlank 
    @Size(max = 100) 
    @Column(nullable = false, length = 100) 
    private String name; 

    @Size(max = 500) 
    @Column(length = 500) 
    private String desp; 

    @Column(name = "IS_DELETED") 
    private boolean isDeleted = Boolean.FALSE; 

    @Column(name = "DELETED_DATE") 
    @Temporal(TemporalType.TIMESTAMP) 
    private Date deletedDate = EPOCH_DATE_TIME; 

    @Column(name = "DEFAULT_FLAG") 
    private boolean defaultFlag; 

    @Column(name = "PREV_VERSION_ID") 
    private Integer prevVersionId; 

    @NotNull 
    @Column(name = "IS_ACTIVE", nullable = false, columnDefinition="BOOLEAN DEFAULT TRUE") 
    private boolean isActive = Boolean.TRUE; 

    @NotNull 
    @ManyToOne(optional = false, fetch = FetchType.LAZY) 
    @JoinColumn(name = "CITY_ID", nullable = false) 
    private City city; 

    @Override 
    public int hashCode() { 
     if(null != this.id){ 
      return Objects.hash(this.id); 
     } 
     return Objects.hash(this.getName(), this.getDeletedDate()); 
    } 

    @Override 
    public boolean equals(Object obj) { 
     if (this == obj) { 
      return true; 
     } 
     if (obj == null) { 
      return false; 
     } 
     if (obj instanceof PostCode) { 
      PostCode other = (PostCode) obj; 
      return Objects.equals(this.hashCode(), other.hashCode()); 
     } 
     return false; 
    } 

} 

Persistence.properties

# Hibernate distributed secondary (L2) cache 
hibernate.cache.use_second_level_cache=true 
hibernate.cache.use_query_cache=true 
hibernate.cache.use_minimal_puts=true 
hibernate.cache.region.factory_class=com.hazelcast.hibernate.HazelcastCacheRegionFactory 
hibernate.cache.use_structured_entries=true 
hibernate.cache.hazelcast.use_native_client=true 
hibernate.cache.hazelcast.native_client_address=10.1.2.1 

日誌文件

Hazelcast日誌文件
https://drive.google.com/open?id=0ByIpkcJW-nHLZjhyZEJ2a2RPSDQ

hazelcast Threaddump
https://drive.google.com/open?id=0ByIpkcJW-nHLMDdlQ0VWaU1taDA

tomcat的Threaddump
https://drive.google.com/open?id=0ByIpkcJW-nHLZE5JamptdUNuZm8

版本

JDK 1.8 榛投3.5

+0

當您使用兩個不同Hazelcast情況下,他們使用的數據備份爲默認值。如果您正在向Hazelcast寫入一些數據,可能會增加花費在請求上的時間。如果數據被刪除並重復添加到Hazelcast,它也可能導致此問題。 此外,[這裏] [1]是您如何編輯備份配置: [1]:http://docs.hazelcast.org/docs/latest-development/manual/html/Distributed_Data_Structures/ Map/Backing_Up_Maps.html – ahmetcetin

+0

如果您運行的是少於或等於兩個實例,則可以在Hazelcast的mancenter中檢查備份。 – ahmetcetin

+0

hi @ahmetcetin,當沒有數據被寫入/刪除時,性能是一樣的慢,因爲默認會影響花費的時間。 –

回答

2

除非你使用非常舊版本Hazelcast的我找不到任何明顯的配置問題。我建議你將Hazelcast和hazelcast-hibernate更新到最新版本,看看會發生什麼。