我们使用了类似于ozlevka的方法,在自定义elasticsearch图像的构建过程中运行一个脚本。
这是我们的剧本:
#!/bin/bash
# This script sets up the Elasticsearch docker instance with the correct pipelines and templates
baseUrl='localhost:9200'
contentType='Content-Type:application/json'
# filebeat
ingestUrl=$baseUrl'/_ingest/pipeline/our-pipeline?pretty'
payload='/usr/share/elasticsearch/config/our-pipeline.json'
/usr/share/elasticsearch/bin/elasticsearch -p /tmp/pid > /dev/null &
# wait until Elasticsearch is up
# you can get logs if you change /dev/null to /dev/stderr
while [[ "$(curl -s -o /dev/null -w ''%{http_code}'' -XPUT $ingestUrl -H$contentType -d@$payload)" != "200" ]]; do
echo "Waiting for Elasticsearch to start and posting pipeline..."
sleep 5
done
kill -SIGTERM $(cat /tmp/pid)
rm /tmp/pid
echo -e "\n\n\nCompleted Elasticsearch Setup, refer to logs for details"
