Make: Leaving directory `/tmp/redis-5.0.7/deps' (cd jemalloc & & make distclean) > /dev/null || true (cd lua & make clean) > /dev/null || true (cd linenoise & make clean) > /dev/null || true (cd hiredis & make clean) > /dev/null || true Make: Entering directory `/tmp/redis-5.0.7/deps' Rm -rf redis-server redis-sentinel redis-cli redis-benchmark redis-check-rdb redis-check-aof *.o *.gcda *.gcno *.gcov lcov-html p dict-benchmark Make: Leaving directory `/tmp/redis-5.0.7/src' Make: Entering directory `/tmp/redis-5.0.7/src' compile Redis tmp]# cd redis-5.0.7 redis-5.0.7]# make Redis-5.0.7/deps/hiredis/examples/example-qt.hģ. Redis-5.0.7/deps/hiredis/examples/example-qt.cpp Redis-5.0.7/deps/hiredis/examples/example-macosx.c Redis-5.0.7/deps/hiredis/examples/example-libuv.c Redis-5.0.7/deps/hiredis/examples/example-libevent.c
Redis-5.0.7/deps/hiredis/examples/example-libev.c Redis-5.0.7/deps/hiredis/examples/example-ivykis.c Redis-5.0.7/deps/hiredis/examples/example-glib.c Redis-5.0.7/deps/hiredis/examples/example-ae.c Redis-5.0.7/deps/hiredis/adapters/macosx.h Redis-5.0.7/deps/hiredis/adapters/libuv.h Redis-5.0.7/deps/hiredis/adapters/libevent.h Redis-5.0.7/deps/hiredis/adapters/libev.h Redis-5.0.7/deps/hiredis/adapters/ivykis.h Extract the file tmp]# tar xzfv redis-5.0.7.tar.gz Other programming languages Redis supports are Python, Java, PHP, Perl, Go, Ruby and Node.jsĢ. It can also allow millions of simultaneous requests per second. It is written in C language, as such very fast and the response time is in sub-millisecond. The data structure it supports are strings, hashes, lists, sets, etc, which makes Redis very easy to use software. The “site” is the key while “” is the value. Redis is a data-store in itself, it can be used as a database, an in-memory, and a no-SQL database and uses data structure in storing data as key-value pairs. However, Redis also gives the option of storing data on the hard drive.
On the contrary, for Redis, data is stored in the memory by default, hence, when information is queried, the result is gotten extremely fast because the data is already in the memory as a cache. Take, for example, the traditional database system, where the database is stored on HDD or SSD, when the database is queried, by default, the method of retrieving information is to go all the way to the hard drive to get the queried information. In other words, Redis stores data in the memory, as such, it is an in-memory data structure system. Redis, which stands for (remote dictionary server), is an open-source, extremely fast and powerful MEMORY caching system.
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