【问题标题】:Keep SQL Server database and Elasticsearch index synced保持 SQL Server 数据库和 Elasticsearch 索引同步
【发布时间】:2020-06-09 02:14:46
【问题描述】:

我正在尝试从 SQL Server 同步数据。我尝试使用以下链接。

https://www.elastic.co/de/blog/how-to-keep-elasticsearch-synchronized-with-a-relational-database-using-logstash

这里的问题是,Logstash 配置中的语句是针对 MySQL 的。我试图将语句转换为 SQL Server 语句。在我运行它之后,没有文件被索引。 我在 Logstash 的配置文件里面的语句是这样的:

statement => "SELECT TOP 100 PERCENT *, DATEDIFF(s, '1970-01-01 00:00:00', modification_time) AS unix_ts_in_secs FROM es_table WHERE (DATEDIFF(s, '1970-01-01 00:00:00', modification_time) > :sql_last_value AND modification_time < getutcdate()) ORDER BY modification_time ASC"

还有以下输出:

[2020-02-25T11:55:50,092][INFO ][logstash.inputs.jdbc     ][main] (0.007739s) SELECT TOP (1) count(*) AS [COUNT] FROM (SELECT TOP 100 PERCENT *, DATEDIFF(s, '1970-01-01 00:00:00', modification_time) AS unix_ts_in_secs FROM es_table WHERE (DATEDIFF(s, '1970-01-01 00:00:00', modification_time) > 0 AND modification_time < getutcdate()) ORDER BY modification_time ASC) AS [T1]
[2020-02-25T11:55:55,202][INFO ][logstash.inputs.jdbc     ][main] (0.001840s) SELECT CAST(SERVERPROPERTY('ProductVersion') AS varchar)
[2020-02-25T11:55:55,208][INFO ][logstash.inputs.jdbc     ][main] (0.001305s) SELECT TOP (1) count(*) AS [COUNT] FROM (SELECT TOP 100 PERCENT *, DATEDIFF(s, '1970-01-01 00:00:00', modification_time) AS unix_ts_in_secs FROM es_table WHERE (DATEDIFF(s, '1970-01-01 00:00:00', modification_time) > 0 AND modification_time < getutcdate()) ORDER BY modification_time ASC) AS [T1]
[2020-02-25T11:56:00,338][INFO ][logstash.inputs.jdbc     ][main] (0.002202s) SELECT CAST(SERVERPROPERTY('ProductVersion') AS varchar)
[2020-02-25T11:56:00,349][INFO ][logstash.inputs.jdbc     ][main] (0.002047s) SELECT TOP (1) count(*) AS [COUNT] FROM (SELECT TOP 100 PERCENT *, DATEDIFF(s, '1970-01-01 00:00:00', modification_time) AS unix_ts_in_secs FROM es_table WHERE (DATEDIFF(s, '1970-01-01 00:00:00', modification_time) > 0 AND modification_time < getutcdate()) ORDER BY modification_time ASC) AS [T1]

因此,语句正在运行,但没有任何内容被索引。

我的 Logstash 配置如下所示:

input {
  jdbc {
    jdbc_driver_library => "<driver>"
    jdbc_driver_class => "<class>"
    jdbc_connection_string => "<connection>"
    jdbc_user => <user>
    jdbc_password => <pw>
    jdbc_paging_enabled => true
    tracking_column => "unix_ts_in_secs"
    use_column_value => true
    tracking_column_type => "numeric"
    schedule => "*/5 * * * * *"
    statement => "SELECT TOP 100 PERCENT *, DATEDIFF(s, '1970-01-01 00:00:00', modification_time) AS unix_ts_in_secs FROM es_table WHERE (DATEDIFF(s, '1970-01-01 00:00:00', modification_time) > :sql_last_value AND modification_time < getutcdate()) ORDER BY modification_time ASC"
  }
}
filter {
  mutate {
    copy => { "id" => "[@metadata][_id]"}
    remove_field => ["id", "@version", "unix_ts_in_secs"]
  }
}
output {
  stdout { codec =>  "rubydebug"}
  elasticsearch {
      index => "rdbms_sync_idx"
      document_id => "%{[@metadata][_id]}"
  }
}

【问题讨论】:

  • 你的“tracking_column”是什么。请发布您的 logstash 配置。
  • @WinnieDaPooh 我用我的配置文件更新了我的问题。我的“tracking_column”是 unix_ts_in_secs。
  • 可能是您缺少“last_run_metadata_path”elastic.co/guide/en/logstash/current/…跟踪文件用于捕获“状态”。
  • 该死的,非常感谢!为什么指南中没有提到这个:O
  • @WinnieDaPooh 随意写一个答案,我会接受的。

标签: sql-server elasticsearch logstash elastic-stack logstash-configuration


【解决方案1】:

可能你错过了“last_run_metadata_path

跟踪文件用于捕获“状态”。

来自官方文档的例子是,

input {
  jdbc {
    statement => "SELECT * FROM mgd.seq_sequence WHERE _sequence_key > ? AND _sequence_key < ? + ? ORDER BY _sequence_key ASC"
    prepared_statement_bind_values => [":sql_last_value", ":sql_last_value", 4]
    prepared_statement_name => "foobar"
    use_prepared_statements => true
    use_column_value => true
    tracking_column_type => "numeric"
    tracking_column => "_sequence_key"
    last_run_metadata_path => "/elastic/tmp/testing/confs/test-jdbc-int-sql_last_value.yml"
    # ... other configuration bits
  }
}

【讨论】:

    猜你喜欢
    • 2013-07-11
    • 1970-01-01
    • 1970-01-01
    • 2016-12-21
    • 1970-01-01
    • 2012-08-10
    • 1970-01-01
    • 1970-01-01
    • 2010-09-14
    相关资源
    最近更新 更多