使用logstash将整个数据库保存到ElasticSearch
我是ELK新手,目前正在做的是:
- 使用
configuration.conf
文件设置logstash中的jdbc(输入>过滤>输出) - 对于在logstash配置文件中具有单独
input{}
的每个MySQL
查询 - 或使用
pipilines.yml
让单独的配置文件在单独的线程中运行(即每个MySQL查询都有(存储在)不同的配置文件中) - 为管道运行命令
logstash -f config.conf
(Windows)或仅运行logstash
如何使用logstash获取数据库的所有表,并将它们一次性索引到ElatticSeach,其中每个表的索引与MySQL Database(Windows)中的表名同名。我是否可以像显示表格一样运行查询,获取列表并使用for循环,为每个表格定义.conf并将其保存为.conf文件?但是我该如何修改.yml文件呢?AS文件是.conf和.yml,而不是.py?
Logstash configuration file image
jdbc
官方文档称"每个查询都必须有单独的jdbc":Configuring multiple SQL statements
推荐答案脚本如下:
getTableNames.py
import MySQLdb
# custom made class, Generate
from package_name.generate_conf_yml_logstash import Generate
connection = MySQLdb.connect(host="localhost:3306",
user="root/sa", password="password", db="database_name")
cursor = connection.cursor()
cursor.execute("show tables")
tables = cursor.fetchall()
application_name_tables = []
for table in tables:
application_name_tables.append(table[0])
cursor.close()
connection.close()
Generate.save_files(application_name_tables)
Generate_conf_yml_logstash.py
import sys
import os.path
class Generate:
@staticmethod
def save_files(tables):
# save config files
save_path = "D:folder_name"
for table in tables:
init_f = save_path + "initial_logstash.conf"
conf_f_name = table + ".conf"
save_file = os.path.join(save_path, conf_f_name)
with open(init_f, "r") as original: # read only
data = original.read()
data = data.replace("table_name", table)
with open(save_file, "w+") as conf: # overwrite if exist
conf.write(data)
# save yml file
yml_f_name = "init_logstash_pipelines.yml"
save_file = os.path.join(save_path, yml_f_name)
with open(save_file, "r") as original:
data = original.read()
with open(save_file, "a+") as yml: # append
for table in tables:
data = data.replace("table", table)
yml.write(data)
sys.exit()
和示例配置和YML文件为:
init_logstash_Pipelines.yml
- pipeline.id: table
path.config: "../config/table.conf"
pipeline.workers: 1
Initial_logstash.conf
input {
jdbc {
jdbc_driver_library => "../logstash-6.3.0/logstash-core/lib/jars/mysql-connector-java-5.1.46-bin.jar"
jdbc_driver_class => "com.mysql.jdbc.Driver"
jdbc_connection_string => "jdbc:mysql://Mysql:3306/database_name"
jdbc_user => "root"
jdbc_password => "password"
statement => "SELECT * from table_name"
# schedule => "* * * * *"
}
}
output {
stdout { codec => json_lines }
elasticsearch {
hosts => ["localhost:9200"]
index => "table_name"
# as every table has diff. primary key, change this please
document_id => "%{pk}"
}
}
请随时更改初始配置文件、YML文件和代码访问权限。满足您的需求
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