Spring Batch - 读取多行日志消息

2024-05-05

我面临一个问题,在配置了 Spring 集成的 Spring Batch 应用程序中将多行日志消息读取为单个消息,该应用程序必须将多行日志消息(示例异常堆栈跟踪)读取为单个消息,稍后它必须处理并对消息进行分类以进一步建立索引。 每行都由其时间戳(上面提到的模式,即 DATE_PATTERN)标识,并且可能会继续多行,我试图继续读取消息,直到通过覆盖看到另一个时间戳 当第二行到达 preProcess 方法时,SimpleRecordSeparatorPolicy 中的 isEndOfRecord 方法我为 isEndOfRecord 返回 true,但这没有按预期工作,任何人都可以帮助我通过识别时间戳模式来读取提到的日志文件吗?

我使用 org.springframework.batch.item.file.FlatFileItemReader 和 org.springframework.batch.item.file.mapping.PassThroughLineMapper 作为映射器。

请参阅完整消息,

1)日志消息文件:sample-message-test.log

2013-10-19 07:05:32.253 [My First Class..] LOG LEVEl  first-message-line-1 first-message-line-1 first-message-line-1 first-message-line-1 first-message-line-1 first-message-line-1 
first-message-line-2 first-message-line-2 first-message-line-2 
first-message-line-3 first-message-line-3 first-message-line-3 
first-message-line-4 first-message-line-4 first-message-line-4 
first-message-line-5 first-message-line-5 
first-message-line-6 
2013-10-19 07:05:32.257 [My Second Class..] LOG LEVEl  second-message-line-1 second-message-line-1 second-message-line-1 second-message-line-1 second-message-line-1 second-message-line-1 
second-message-line-2 second-message-line-2 second-message-line-2 
second-message-line-3 second-message-line-3 second-message-line-3 
second-message-line-4 second-message-line-4 second-message-line-4 
second-message-line-5 second-message-line-5 
second-message-line-6
2013-10-19 07:05:32.259 [My Third Class..] LOG LEVEl  third-message-line-1 third-message-line-1 third-message-line-1 third-message-line-1 third-message-line-1 third-message-line-1 
third-message-line-2 third-message-line-2 third-message-line-2 
third-message-line-3 third-message-line-3 third-message-line-3 
third-message-line-4 third-message-line-4 third-message-line-4 
third-message-line-5 third-message-line-5 
third-message-line-6

2)批量配置文件

<batch:job id="fileReadingJob">
        <batch:step id="flatFileReadingStep">
            <batch:tasklet >
                <batch:chunk reader="reader" writer="writer" commit-interval="10" />
            </batch:tasklet>
        </batch:step>
    </batch:job>

    <bean id="reader" class="org.springframework.batch.item.file.FlatFileItemReader"  scope="step">
        <property name="lineMapper">
            <bean class="org.springframework.batch.item.file.mapping.PassThroughLineMapper"/>
        </property>
        <property name="bufferedReaderFactory">
            <bean class="org.springframework.batch.item.file.DefaultBufferedReaderFactory"/>
        </property>
        <property name="recordSeparatorPolicy" >
            <bean class="com.batchlog.explorer.batchio.FlatFileRecordSeperationPolicy"/>
        </property>
        <property name="resource" value="file:///#{systemProperties['logfolder']}/#{jobParameters['inputfile']}" />
    </bean>
    <bean id="writer" class="com.batchlog.explorer.batchio.FlatFileWriter" scope="step"/>
........

3)

public class FlatFileRecordSeperationPolicy extends SimpleRecordSeparatorPolicy {

    public static final String STARTING_OF_THE_LINE = "-STARTING_OF_THE_LINE-";
    public static final String CONTINUATION_OF_THE_FILE  = "-CONTINUATION_OF_THE_FILE-";
    public static final String END_OF_THE_LINE = "-END_OF_THE_LINE-";
    public static final String END_OF_THE_LINE_CHARACER = " \n ";
    public static final String DATE_PATTERN ="^(?>\\d\\d){1,2}-(?:0?[1-9]|1[0-2])-(\\s)?(?:2[0123]|[01][0-9]):? (?:[0-5][0-9])(?::?(?:(?:[0-5][0-9]|60)(?:[.,][0-9]+)?))?(?:Z|[+-](?:2[0123]|[01][0-9])(?::?(?:[0-5][0-9])))?.*?";


    @Override
        public boolean isEndOfRecord(String line) {
            if(line.matches(DATE_PATTERN) || line.startsWith(STARTING_OF_THE_LINE)
                            || line.contains(CONTINUATION_OF_THE_FILE) || line.startsWith(END_OF_THE_LINE)){
                if(isNextLineStarts(line) || line.startsWith(END_OF_THE_LINE)){
                    return true;//to break line
                }
        }
        return false; //to conitnue line

    private boolean isNextLineStarts(String preProcessOfLine){
            if(preProcessOfLine.contains(CONTINUATION_OF_THE_FILE) && !preProcessOfLine.endsWith(CONTINUATION_OF_THE_FILE)){
                String[] lines = preProcessOfLine.split(CONTINUATION_OF_THE_FILE);
                if(lines[1].trim().matches(DATE_PATTERN)){
                    return true;
                }
            }
            return false;
    }
    @Override
        public String preProcess(String line) {
            if(line.matches(DATE_PATTERN) && !line.contains(CONTINUATION_OF_THE_FILE)){
                line = new StringBuilder(STARTING_OF_THE_LINE).append(line).toString();
            }else if(line.startsWith(STARTING_OF_THE_LINE) && !line.contains(CONTINUATION_OF_THE_FILE)){
                line =  new StringBuilder(line.substring(STARTING_OF_THE_LINE.length())).append(CONTINUATION_OF_THE_FILE).toString();
            }else if(line.contains(CONTINUATION_OF_THE_FILE) && !line.endsWith(CONTINUATION_OF_THE_FILE)){
                String[] lines = line.split(CONTINUATION_OF_THE_FILE);
                if(lines[1].trim().matches(DATE_PATTERN)){
                    line = new StringBuilder(END_OF_THE_LINE).append(lines[0]).toString();//.append(lines[1]).toString();
                }else{
                    line = new StringBuilder(lines[0]).append(lines[1]).append(CONTINUATION_OF_THE_FILE).toString();
                }
            }
                return super.preProcess(line);
    }
    @Override
        public String postProcess(String record) {
            if(record.startsWith(END_OF_THE_LINE)){
                record = new StringBuilder(record.substring(END_OF_THE_LINE.length())).toString();
            }else if(record.contains(CONTINUATION_OF_THE_FILE) && !record.endsWith(CONTINUATION_OF_THE_FILE)){
                String[] lines = record.split(CONTINUATION_OF_THE_FILE);
                if(lines[1].trim().matches(DATE_PATTERN)){
                    record = new StringBuilder(END_OF_THE_LINE).append(lines[0]).toString();
                }else{
                    record = new StringBuilder(lines[0]).append(lines[1]).toString();
                }
            }
            return super.postProcess(record);
    }

按照中所述编写您自己的 ItemReader多订单行示例 http://docs.spring.io/spring-batch/1.1.x/spring-batch-samples/index.html#multilineOrder或如中所述这个帖子 http://forum.spring.io/forum/spring-projects/batch/108198-multi-line-multi-record-flat-file.

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