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ElasticSearch duplicating indexes


ElasticSearch duplicating indexes

By : user2954406
Date : November 22 2020, 01:01 AM
help you fix your problem It is going to be really inefficient to re-index all the data from a table into ES every minute. What I suggest instead is that when you insert/update from mySQL put the primary key for that table into a queuing system (we use rabbitMQ). You can then have 1, 2, or 100 rabbit consumers who take the data, transform it in some way, and then insert into ElasticSearch.
The beauty of this solution is that it solves the problem for both new and existing data. To backfill the entire table simply insert all the primary keys into your queue and let your queue consumers fill in ElaticSearch.
code :


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how to get the indexes of duplicating elements in a ruby array

how to get the indexes of duplicating elements in a ruby array


By : Shweta Sood
Date : March 29 2020, 07:55 AM
To fix the issue you can do
code :
 duplicates = arr.each_with_index.group_by(&:first).inject({}) do |result, (val, group)|
                next result if group.length == 1
                result.merge val => group.map {|pair| pair[1]}
              end
{"A"=>[0, 6], "X"=>[1, 2]}
How do search in some indexes in ElasticSearch

How do search in some indexes in ElasticSearch


By : Rahul Nair
Date : March 29 2020, 07:55 AM
wish helps you You can search in several index with the \Elastica\Search class. Here is the version updated of your code :
code :
public function Query($value, $elasticaClient)
{
    $elasticaQueryString = new \Elastica\Query\QueryString();
    $elasticaQueryString->setQuery((string)$value);

    // Create the actual search object with some data.
    $elasticaQuery = new \Elastica\Query();
    $elasticaQuery->setQuery($elasticaQueryString);

    //Search
    $search = new \Elastica\Search($elasticaClient);
    $search->addIndex('twit');
    $search->addIndex('an_other_index');
    $elasticaResultSet = $search->search($elasticaQuery);

    return $elasticaResultSet->getResults();
}
public function Query($value, $elasticaIndex)
{
    $elasticaQueryString = new \Elastica\Query\QueryString();
    $elasticaQueryString->setQuery((string)$value);

    // Create the actual search object with some data.
    $elasticaQuery = new \Elastica\Query();
    $elasticaQuery->setQuery($elasticaQueryString);

    //Search
    $search = $elasticaIndex->createSearch();
    $search->addIndex('an_other_index');
    $elasticaResultSet = $search->search($elasticaQuery);

    return $elasticaResultSet->getResults();
}
$elasticaType = $elasticaIndex->getType($elasticaType);
 function __construct($name)
 {
    parent::__construct();
    $elasticaIndex = $this->elastic->getIndex($name);
    $elasticaType = $elasticaIndex->getType($name);

    $this->mapping = new \Elastica\Type\Mapping();
    $this->mapping->setType($elasticaType);
    $this->mapping->setParam('index_analyzer', $name.'Analyzer');
    $this->mapping->setParam('search_analyzer', $name.'Analyzer');
}
Elasticsearch/Logstash duplicating output when use schedule

Elasticsearch/Logstash duplicating output when use schedule


By : RDS0408
Date : March 29 2020, 07:55 AM
With these it helps You need to modify your output by specifying the document_id setting and use the ID field from your contracts table. That way, you'll never get duplicates.
code :
output {
    elasticsearch {
        index => "resource_contracts"
        document_type => "metadata"
        document_id => "%{ID_FIELD}"
        hosts => "localhost:9200"
    }
}
        statement => "SELECT * FROM contracts WHERE timestamp > :sql_last_value;"
Elasticsearch search across multiple indexes - ignore non-existing indexes

Elasticsearch search across multiple indexes - ignore non-existing indexes


By : Mayron Alves
Date : March 29 2020, 07:55 AM
With these it helps If you use a wildcard like example-idex-2016-07-* you don't need to care about this and ES will figure out the matching indices.
If you really want to enumerate indices you can specify ignoreUnavailable: true in your search call:
code :
return elastic.search({
        index: [
            "example-idex-2016-07-25",
            "example-idex-2016-07-24"], //this doesn't exist
        ],
        ignoreUnavailable: true,
        ...
});
Compression to Elasticsearch indexes

Compression to Elasticsearch indexes


By : tomricky
Date : March 29 2020, 07:55 AM
I wish this helpful for you The index.codec setting is a node level setting and it won't be visible in the list of settings for a new index. If the index template is specifically setting the codec then that one will be used, otherwise the one at node level will be.
Also, when changing the codec for an index, only the new segments (after new indexing, changes to existent documents or segments merging) will use the new codec.
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