'总字段数超过1000个Elasticsearch例外 [英] 'Limit of total fields crossed more than 1000 Elasticsearch exception

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问题描述

由于我的Sql模式,我的Elasticsearch索引具有1000多个字段,并且出现以下异常:

My Elasticsearch index has more than 1000 fields due to my Sql schema and I get below exception:

{'type':'illegal_argument_exception','reason':'总限制索引}中的字段[1000]

{'type': 'illegal_argument_exception', 'reason': 'Limit of total fields [1000] in index }

我的批量插入内容如下

with open('audit1.txt') as file:
    for line in file:
        columns = line.split(r'||')
        dict['TimeStamp']=columns[0].strip('\'')
        dict['BusinessTimeStamp']=columns[1].strip('\'')
        dict['RuntimeMicroflowID']=columns[2].strip('\'')
        dict['MicroflowID']=columns[3].strip('\'')
        dict['UserId']=columns[4].strip('\'')
        dict['ClientId']=columns[5].strip('\'')
        dict['Userlocation']=columns[6].strip('\'')
        dict['Transactionid']=columns[7].strip('\'')
        dict['Catagorie']=columns[8].strip('\'')
        dict['EventType']=columns[9].strip('\'')
        dict['Operation']=columns[10].strip('\'')
        dict['PrimaryData']=columns[11].strip('\'')
        dict['SecondayData']=columns[12].strip('\'')
        i=13
        while i < len(columns):
            tempdict['BFOLDVALUE'] = columns[i+1].strip('\'')
            tempdict['BFNEWVALUE'] = columns[i+2].strip('\'')
            if columns[i].strip('\'') is not None:
                dict[columns[i].strip('\'')] = tempdict.copy()
            i+=3
            tempdict.clear()
        #print(json.dumps(dict,indent = 4))
        batch.append(dict)
        if counter==BATCHSIZE:
            try:
                helpers.bulk(es, batch, index='audit-index', doc_type='audit')
                insertedrecords+=counter
                counter = 0
                batch.clear()
                print(insertedrecords," - Records Has Been inserted ")
            except BulkIndexError:
                print("Error Occured -- continuing")
                print(json.dumps(dict,indent = 4))
                print(BulkIndexError)
                batch.clear()
                break
        counter+=1
        dict.clear()

因此,我假设我尝试错误地对此进行索引,是否有更好的方法在Elasticsearch中对这种格式进行索引.请注意,我使用的是ELK 7.5版

so i am assuming i am trying to index this wrongly, is there a better way of indexing this kind of formats in elasticsearch. note than i am using ELK version 7.5

这是我正在解析为elasticsearch的示例文件

here is the sample file i am parsing to elasticsearch

2018.07.17/15:41:53.735||2018.07.17/15:41:53.735||'0164a8424fbbp84h%2139165'||'BT_TTB_CashDep_PRC'||'eskedarz'||'UXP'||'00001039'||'0164a842e519pJpA'||'Persistence'||''||'CREATE'||'DailyTxns'||'0164a842e4eapJnu'||'CurrentThread'||'WebContainer : 15'||''||'ParentThread'||'system'||''||'TCPWorkerThreadID'||'WebContainer : 15'||''||'f_POSTINGDT'||'2018-07-17'||''||'versionNum'||'0'||''||'f_TXNAMTDR'||'0'||''||'f_ACCOUNTID'||'013XXXXXXXXX0'||''||'f_VALUEDTTM'||'2018-07-17 15:41:53.0'||''||'f_POSTINGDTTM'||'2018-07-17 15:41:53.692'||''||'f_TXNCLBAL'||'25551.610000'||''||'f_TXNREF'||'0000103917071815410685326'||''||'f_PIEVENTTYPE'||'N'||''||'f_TXNAMT'||'5000.00'||''||'f_TRANSACTIONID'||'0164a842e4e9pJng'||''||'f_TYPE'||'N'||''||'f_USERID'||'xxxarz'||''||'f_SRNO'||'1'||''||'f_TXNBASEEQ'||'5000.00'||''||'f_TXNSRCBRANCH'||'0000X039'||''||'f_TXNCODE'||'T08'||''||'f_CHANNELID'||'BranchTeller'||''||'f_TXNAMTCR'||'5000.00'||''||'f_TXNNARRATION'||'SELF                                                                                      '||''||'f_ISACCRUALPENDING'||'false'||''||'f_TXNDTTM'||'2018-07-17 15:41:53.689'||''

推荐答案

如果您仔细查看错误消息的这一部分,将会很清楚.

if you carefully look at this part of the error message it would be clear.

索引中的字段总数限制为[1000]

Limit of total fields [1000] in index

1000是Elasticsearch索引中字段总数的默认限制,如其源代码所示.

public static final Setting<Long> INDEX_MAPPING_TOTAL_FIELDS_LIMIT_SETTING =
        Setting.longSetting("index.mapping.total_fields.limit", 1000L, 0, Property.Dynamic, Property.IndexScope);

请注意,这是一个动态设置,因此可以通过更新索引设置来更改给定索引

PUT test_index/_settings
{
  "index.mapping.total_fields.limit": 1500. --> changed it to what is suitable for your index.
}

有关此问题的更多信息,请参见这里.

More info on this issue can be found here and here.

这篇关于'总字段数超过1000个Elasticsearch例外的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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