ClickHouse/dbms/programs/odbc-bridge
proller d752d5d62d Prepare to new poco, build fixes (#3072)
* WIp

* fix

* fix

* test

* fix poco netssl find

* clean

* fixes

* wip

* wip

* new poco

* fixes

* Fixes

* wip

*  clean

* clean

*     clean

* clean

* Update HTTPHandlerFactory.h
2018-09-14 22:48:51 +03:00
..
tests
CMakeLists.txt Prepare to new poco, build fixes (#3072) 2018-09-14 22:48:51 +03:00
ColumnInfoHandler.cpp Prepare to new poco, build fixes (#3072) 2018-09-14 22:48:51 +03:00
ColumnInfoHandler.h
HandlerFactory.cpp Prepare to new poco, build fixes (#3072) 2018-09-14 22:48:51 +03:00
HandlerFactory.h
MainHandler.cpp Prepare to new poco, build fixes (#3072) 2018-09-14 22:48:51 +03:00
MainHandler.h
odbc-bridge.cpp
ODBCBridge.cpp
ODBCBridge.h
PingHandler.cpp
PingHandler.h
README.md
validateODBCConnectionString.cpp
validateODBCConnectionString.h

clickhouse-odbc-bridge

Simple HTTP-server which works like a proxy for ODBC driver. The main motivation was possible segfaults or another faults in ODBC implementations, which can crash whole clickhouse-server process.

This tool works via HTTP, not via pipes, shared memory, or TCP because:

  • It's simplier to implement
  • It's simplier to debug
  • jdbc-bridge can be implemented in the same way

Usage

clickhouse-server use this tool inside odbc table function and StorageODBC. However it can be used as standalone tool from command line with the following parameters in POST-request URL:

  • connection_string -- ODBC connection string.
  • columns -- columns in ClickHouse NamesAndTypesList format, name in backticks, type as string. Name and type are space separated, rows separated with newline.
  • max_block_size -- optional parameter, sets maximum size of single block. Query is send in post body. Response is returned in RowBinary format.

Example:

$ clickhouse-odbc-bridge --http-port 9018 --daemon

$ curl -d "query=SELECT PageID, ImpID, AdType FROM Keys ORDER BY PageID, ImpID" --data-urlencode "connection_string=DSN=ClickHouse;DATABASE=stat" --data-urlencode "columns=columns format version: 1
3 columns:
\`PageID\` String
\`ImpID\` String
\`AdType\` String
"  "http://localhost:9018/" > result.txt

$ cat result.txt
12246623837185725195925621517