* CLICKHOUSE-4063: less manual html @ index.md * CLICKHOUSE-4063: recommend markdown="1" in README.md * CLICKHOUSE-4003: manually purge custom.css for now * CLICKHOUSE-4064: expand <details> before any print (including to pdf) * CLICKHOUSE-3927: rearrange interfaces/formats.md a bit * CLICKHOUSE-3306: add few http headers * Remove copy-paste introduced in #3392 * Hopefully better chinese fonts #3392 * get rid of tabs @ custom.css * Apply comments and patch from #3384 * Add jdbc.md to ToC and some translation, though it still looks badly incomplete * minor punctuation * Add some backlinks to official website from mirrors that just blindly take markdown sources * Do not make fonts extra light * find . -name '*.md' -type f | xargs -I{} perl -pi -e 's//g' {} * find . -name '*.md' -type f | xargs -I{} perl -pi -e 's/ sql/g' {} * Remove outdated stuff from roadmap.md * Not so light font on front page too * Refactor Chinese formats.md to match recent changes in other languages
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URL(URL, Format)
Manages data on a remote HTTP/HTTPS server. This engine is similar
to the File
engine.
Using the engine in the ClickHouse server
The format
must be one that ClickHouse can use in
SELECT
queries and, if necessary, in INSERTs
. For the full list of supported formats, see
Formats.
The URL
must conform to the structure of a Uniform Resource Locator. The specified URL must point to a server
that uses HTTP or HTTPS. This does not require any
additional headers for getting a response from the server.
INSERT
and SELECT
queries are transformed to POST
and GET
requests,
respectively. For processing POST
requests, the remote server must support
Chunked transfer encoding.
Example:
1. Create a url_engine_table
table on the server :
CREATE TABLE url_engine_table (word String, value UInt64)
ENGINE=URL('http://127.0.0.1:12345/', CSV)
2. Create a basic HTTP server using the standard Python 3 tools and start it:
from http.server import BaseHTTPRequestHandler, HTTPServer
class CSVHTTPServer(BaseHTTPRequestHandler):
def do_GET(self):
self.send_response(200)
self.send_header('Content-type', 'text/csv')
self.end_headers()
self.wfile.write(bytes('Hello,1\nWorld,2\n', "utf-8"))
if __name__ == "__main__":
server_address = ('127.0.0.1', 12345)
HTTPServer(server_address, CSVHTTPServer).serve_forever()
python3 server.py
3. Request data:
SELECT * FROM url_engine_table
┌─word──┬─value─┐
│ Hello │ 1 │
│ World │ 2 │
└───────┴───────┘
Details of Implementation
- Reads and writes can be parallel
- Not supported:
ALTER
andSELECT...SAMPLE
operations.- Indexes.
- Replication.