Example.com VS Apache Solr

Example.com Reviews

Apache Solr Reviews

Example.com mentions (2420)

• Web Scraping with Python: A Step-by-Step Guide

  Import requests From bs4 import BeautifulSoup # Step 1: Fetch the web page Url = 'http://example.com' Response = requests.get(url) # Check if the request was successful If response.status_code == 200: page_content = response.content # Step 2: Parse HTML content soup = BeautifulSoup(page_content, 'html.parser') # Step 3: Extract the title page_title = soup.title.string print(f"Page Title:... - Source: dev.to / about 22 hours ago

• The problem with new URL(), and how URL.parse() fixes that

  }; const myUrl = tryNew(URL, 'http://example.com/'); I don't get why JS devs like to whinge about the smallest things. And we get stuff like leftPad because of huge aversion to writing utility functions. - Source: Hacker News / 1 day ago

• Demystifying Same Origin Policy in Simple Words

  Will let the origin - https://example.com (as well as its own origin) to access the any data on the server. - Source: dev.to / 5 days ago

• Introducing dirb_rust: A High-Performance URL and Port Scanner

  Working links: Http://example.com/path1 Http://example.com/path2 ... Open ports: Port 80: HTTP - open Port 443: HTTPS - open ... API requests: Fetch('http://example.com/api') Axios.get('http://example.com/api') ... - Source: dev.to / 3 days ago

• Python Multithreading: Unlocking Concurrency

  From concurrent.futures import ThreadPoolExecutor Import requests Def fetch(url): response = requests.get(url) return response.text Urls = ["http://example.com", "http://example.org", "http://example.net"] With ThreadPoolExecutor(max_workers=5) as executor: results = list(executor.map(fetch, urls)) Print("Fetched the content of all URLs!"). - Source: dev.to / 3 days ago

Apache Solr mentions (17)

• Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌

  Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 9 months ago

• Looking for software

  Apache Solr can be used to index and search text-based documents. It supports a wide range of file formats including PDFs, Microsoft Office documents, and plain text files. https://solr.apache.org/. Source: about 1 year ago

• 'google-like' search engine for files on my NAS

  If so, then https://solr.apache.org/ can be a solution, though there's a bit of setup involved. Oh yea, you get to write your own "search interface" too which would end up calling solr's api to find stuff. Source: over 1 year ago

• Search engine.

  Developers will use their SQL database when searching for specific things like client names, product names, or address search. Now when you want to level up from there and search all tables you better off using a separated server with a specific program like https://solr.apache.org/. Source: almost 2 years ago

• Search text from PDF files stored in an S3 bucket

  We’re using a self-managed OpenSearch node here, but you can use Lucene, SOLR, ElasticSearch or Atlas Search. Source: almost 2 years ago