Control Panel

Managed Solr Hosting

Opensolr is a fully managed Apache Solr hosting platform. You get production-grade Solr clusters without managing servers, JVMs, or replication — we handle all of that.

Getting Started — Create Your First Index

1. Create your account

Head to opensolr.com and click Sign Up. Enter your email, choose a password, and confirm via the activation email. Once logged in, you land on your Dashboard — the central hub for indexes, clusters, billing, team members, and API keys.

2. Open the Control Panel and click "Add New"

Click your username in the top-right corner, select Control Panel, then open My Indexes and click Add New.

3. Choose your region and Solr version

Use the filter dropdowns to select a Region, Solr Version, and optionally a Country. Click the cluster card that matches your needs.

4. Name your index and create it

Give your index a meaningful name (e.g. my_website, product_search) or keep the auto-generated ID. Click Add Index — your index is provisioned in seconds with connection details, hostname, port, and credentials ready to use.

5. Upload your configuration

Click your index name to enter its Index Control Panel, then go to Configuration. Edit config files live in the browser (schema.xml, solrconfig.xml, synonyms, stopwords) or upload a ready-made config zip for your CMS. Your index is now ready to receive data.

See Solr Configuration Files Dependency Flow for details on how config files work together.

The Opensolr Control Panel

A single web-based dashboard for managing every aspect of your Solr indexes — from live analytics and query monitoring to configuration, security, backups, and index tools.

Connect Your Application

Opensolr Web Crawler

Don't have an app backend or CMS? The Opensolr Web Crawler crawls any website and builds a fully indexed, searchable site — no code, no plugins, no infrastructure to manage.

App Server Management

Beyond Solr hosting, Opensolr manages your entire application stack — Drupal, Laravel, WordPress, or any framework running on your own servers or ours.

Drupal Modules — Opensolr Turbo Indexer

Opensolr actively contributes to the Drupal ecosystem. Our flagship Drupal module is the Opensolr Turbo Indexer — a Drush-based parallel indexing engine that dramatically speeds up Solr indexing for large Drupal sites.

We also maintain the Search API Opensolr connector module, which simplifies connecting Drupal's Search API to any Opensolr-hosted index.

AI-Powered Search

Opensolr offers built-in AI search capabilities that go beyond traditional keyword matching.

REST API — Automate Everything

Every operation in the Opensolr Control Panel is available through the REST API. Automate index provisioning, config management, security, backups, crawling, and monitoring programmatically.

Quick API Examples

Once your index is live, interact with it directly via HTTP. Replace USER:PASS with your index credentials and CLUSTER.opensolr.com with your cluster hostname.

Search:

curl -u USER:PASS "https://CLUSTER.opensolr.com/solr/INDEX_NAME/select?q=laptop&rows=10&wt=json"

Index a document:

curl -u USER:PASS "https://CLUSTER.opensolr.com/solr/INDEX_NAME/update?commit=true" \
  -H "Content-Type: application/json" \
  -d '[{"id":"1","title":"My First Document","content":"Hello Solr!"}]'

PHP:

$url = 'https://CLUSTER.opensolr.com/solr/INDEX_NAME/select?q=laptop&wt=json';
$context = stream_context_create(['http' => [
    'header' => 'Authorization: Basic ' . base64_encode('USER:PASS')
]]);
$response = file_get_contents($url, false, $context);
$data = json_decode($response, true);
print_r($data['response']['docs']);

JavaScript:

const response = await fetch(
  'https://CLUSTER.opensolr.com/solr/INDEX_NAME/select?q=laptop&wt=json',
  { headers: { 'Authorization': 'Basic ' + btoa('USER:PASS') } }
);
const data = await response.json();
console.log(data.response.docs);

For a complete reference of all search parameters, see Querying the Solr API: Search Parameters Explained.

Troubleshooting

Explore More

Real-Time Solr Monitoring & Analytics

Monitor Your Search Performance Like Never Before

OpenSolr brings enterprise-grade monitoring directly into your dashboard. No setup, no configuration, no external tools - just powerful real-time insights into your Solr infrastructure the moment you need them.

📈 Live Query Volume Tracking

See your search traffic as it happens. Our real-time query volume chart updates every second, giving you instant visibility into traffic patterns, usage spikes, and query trends.

Perfect for:

• Identifying traffic patterns and peak usage times
• Capacity planning and scaling decisions
• Detecting unusual activity or traffic spikes
• Understanding user behavior in real-time

🔍 Complete Query Stream Analysis

Every query that hits your Solr index is captured and displayed in real-time. See exactly what your users are searching for, how long queries take, and which searches are performing well.

What You Get:

• Timestamp Precision - Track when every query executed
• Full Query Details - See paths, parameters, and search terms
• Performance Metrics - Response times displayed to the millisecond
• Result Counts - Understand how many hits each query returns
• Status Monitoring - Catch errors and issues instantly

Smart Filtering lets you search through thousands of queries using regex patterns on paths and parameters. Find exactly what you're looking for in seconds.

🔬 Deep Query Inspection

Click any query to see the complete breakdown. Every parameter, every filter, every detail - presented clearly and ready to analyze or test.

See Everything:

• Complete query string ready to copy and test
• All parameters displayed in an easy-to-read table
• Multi-value parameters (like filter queries) shown properly
• Clean formatting - no URL encoding clutter

Perfect for debugging, optimization, and understanding exactly what your application is sending to Solr.

⚡ Smart Slow Query Detection

Slow queries hurt user experience and waste resources. Our intelligent slow query monitor automatically identifies and tracks queries that need attention.

Customizable Thresholds: Set your own definition of "slow" - from 0.2 seconds to 1.0 seconds - and let OpenSolr automatically flag queries that exceed your threshold.

Why It Matters:

• Identify optimization opportunities
• Find queries that need better indexing
• Track performance improvements over time
• Proactively address issues before users complain

Queries are sorted by response time, putting your slowest queries front and center where they belong.

🖥️ Real-Time Server Health Monitoring

Your Solr server's vital signs, updated live. Monitor CPU, memory, disk usage, and load averages - all in one beautiful dashboard.

System Metrics Include:

• CPU Usage - Real-time processor utilization with trend graphs
• Memory Consumption - RAM usage tracking over time
• System Load - 1, 5, and 15-minute load averages
• Disk Capacity - Visual indicators show available space at a glance

Everything updates automatically - no refreshing needed. Just watch your infrastructure perform.

🎯 Getting Started

Accessing your monitoring dashboard is simple:

1. Log into your OpenSolr Control Panel
2. Select any of your Solr indexes
3. Find the monitoring options in the left sidebar:
   • "Solr Log" for real-time query monitoring
   • "Server Monitor" for system health metrics

That's it. Your monitoring is already running, already collecting data, already ready to use.

✨ Why OpenSolr Monitoring Stands Out

Built for the way you work:

• Zero Setup - Start monitoring the moment you create an index
• Real-Time Updates - See changes as they happen, not minutes later
• Millisecond Precision - Accurate performance metrics you can trust
• Intelligent Filtering - Find the queries that matter
• Always Included - No extra fees, no add-ons, no hidden costs

Professional tools at your fingertips: Every OpenSolr account includes full monitoring capabilities. Whether you're running a small blog or a high-traffic e-commerce platform, you get the same powerful insights.

💡 Real-World Benefits

For Developers: Debug issues faster, optimize queries with confidence, and understand exactly how your search is performing in production.

For Operations: Monitor server health, plan capacity needs, and catch problems before they impact users.

For Business: Understand search usage patterns, improve user experience, and make data-driven decisions about your search infrastructure.

📊 Web Crawler & Site Search Analytics

If you're using the Opensolr Enterprise Site Search (Web Crawler), there's a separate layer of analytics specifically for crawl-based search — covering crawl stats, search query analytics, click-through rates, and more.

👉 Solr-Level vs Web Crawler Search Analytics — a detailed comparison of both analytics systems and when to use each.

🚀 The OpenSolr Advantage

Professional search infrastructure shouldn't require enterprise budgets or DevOps teams. OpenSolr delivers powerful, production-ready monitoring as part of every account.

This is what modern search infrastructure looks like.

Monitoring is included with all OpenSolr plans. Log in now to start exploring your data.

Need help? Our team is here: support@opensolr.com | Documentation

Delete by Query

Delete by Query lets you remove documents from your Opensolr index that match a specific Solr query. Instead of wiping your entire index and re-indexing from scratch, you can surgically target exactly the documents you want to remove — whether that is a single document by ID, an entire category, URLs matching a pattern, or records older than a certain date.

How to Access It

Query Syntax Examples

After executing a delete query, always click Commit (or use the Commit utility button below) to flush the changes to disk and make the deletions visible in search results.

The Tools Panel

Index Utilities

The utility buttons below the Delete by Query form give you full control over your index lifecycle — from reloading configuration to restarting the Solr process itself.

Pro Tips

How It Works

Every Opensolr cluster server continuously parses its Solr log files. Each ERROR, WARNING, and CRITICAL entry is automatically extracted, classified, enriched with a human-readable explanation, and indexed into a dedicated search index. This happens in the background — there is nothing to enable, configure, or maintain.

What gets captured for each error:

The Error Audit Dashboard

Open any index in your Control Panel and click Error Audit in the left sidebar. The dashboard loads your error history instantly.

Summary Cards

At the top, four cards give you an at-a-glance breakdown: Critical, Errors, Warnings, and Total counts for the currently filtered view. These update dynamically as you change filters.

Error Rate Chart

A bar chart shows error frequency over the past 7 days, broken down by hour. Spot patterns immediately — recurring errors at specific times, sudden spikes after deployments, or a clean flat line when things are running smoothly.

Filters & Search

Errors Table

The main table shows every error in reverse chronological order. Each row displays the timestamp, level badge, error type, severity score, a truncated message, and which server it came from. Click any row to open the full detail view.

Error Detail View

Click any error in the table to open the detail modal. Everything you need to understand and fix the issue, in one place:

Below the explanation, you get the full technical breakdown:

• Timestamp — exact time of the error
• Server — which cluster server logged it
• Level / Type / Severity — color-coded badges
• Error Message — the raw message from the log
• Root Cause — the deepest exception
• First Log Line — the original line from solr.log
• Stack Trace — compacted and syntax-highlighted, with Exception, Error, and Caused-by keywords highlighted in red for quick scanning

Error Types & Severity Levels

Every error is automatically classified into a type based on the exception class:

Severity levels:

Error Audit vs Tail Error Log

Opensolr now has two error views. They serve different purposes:

Use Tail when you need to see errors as they happen, right now. Use Audit when you need to find errors from the past, search for specific exceptions, or understand error trends.

Getting Started

1. Log into your Opensolr Control Panel
2. Select any of your Solr indexes
3. Click Error Audit in the left sidebar
4. Your error history loads automatically — use the filters, search, and chart to investigate

No setup, no configuration, no extra cost. Error Audit is included with every Opensolr account and works for every index across all plans.