Load more than 1 million row from SQL Server to ES with Logstash JDBC

[Dai_Thai_Hoa_Vo]

Hi every one.
I have one case that my table has more 1 million rows in SQL Server and I used logstash JDBC to load them to Elastic Search. It work fine but run very slow.
This is my file config.

input {
jdbc {
jdbc_driver_library => "C:\ELK\elasticsearch-7.12.0-windows-x86_64\elasticsearch-7.12.0\lib\sqljdbc_9.2\enu\mssql-jdbc-9.2.1.jre8.jar"
jdbc_driver_class => "com.microsoft.sqlserver.jdbc.SQLServerDriver"
jdbc_connection_string =>"jdbc:sqlserver://BPHHP13:1433;databaseName=WRIPMS;"
jdbc_user => "test"
jdbc_password => "TuanTu2017@)!&"
jdbc_paging_enabled => true
clean_run => true
schedule => "*/5 * * * * *"
statement => "select [countyId], [countyName], [modifiedDate] from Counties where [modifiedDate] > :sql_last_value"
use_column_value => true
tracking_column => "modifiedDate"
lowercase_column_names => false
}
}
output {
elasticsearch{
hosts => "http://localhost:9200/"
index => "counties_index"
action => "update"
doc_as_upsert => true
document_id => "%{countyId}"
}
stdout {
codec => rubydebug
}
}

Please any one help me.
Thank you.

[dadoonet (David Pilato)]

First of all, remove the stdout output plugin.
Then you need to check what is actually slow. It could be reading the database.

I moved the question to #elastic-stack:logstash .

Finally please format your code, logs or configuration files using </> icon as explained in this guide and not the citation button. It will make your post more readable.

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