Working in an Isolated Situation
There are a number of advantages to developing in a separate environment, like keeping your workstation clean and developing for a different Linux distribution. A virtual machine (which is relatively easy to start using Vagrant) is the most generic solution for an isolated environment.
Docker is even more adaptable because it provides a relatively closer solution:
search=$(docker run -d -it -v $PWD:/build debian:bullseye bash)
docker exec -it $search bash
Then cd /build from within the container and continue as usual.
All installs contain within the Docker container in this manner. You may either re-invoke the container with the above docker exec or save the container's state to an image and re-invoke it at a later time:
docker commit $search redisearch1
docker stop $search
search=$(docker run -d -it -v $PWD:/build rediseatch1 bash)
docker exec -it $search bash
You can use any OS instead of debian:bullseye, with the host OS being the best option (so you can run the RediSearch binary on your host once it is built).
In the next section, we'll discuss the requirements for installation
Installation requirements
Depending on the study OS, numerous packages are required to build and test RediSearch. Ubuntu/Debian, CentOS, Fedora, and macOS are currently supported.
Enter the RediSearch directory first.
You can run if you have gnu make installed,
make setup
Consider the following as an alternative:
./deps/readies/bin/getpy2
./system-setup.py
system-setup.py will use the native package management and pip to install various packages on your system. It will automatically run sudo and ask for permission.
If you'd rather skip it, you can:
-
Examine system-setup.py and manually install packages.
-
To display installation commands without running them, use system-setup.py --nop
- As previously said, use an isolated environment.
-
Because Python installations are known to be sensitive when not used in isolation, employ a Python virtual environment: python2 -m virtualenv venv; . ./venv/bin/activate
In the next section, we’ll see some useful commands.
Getting support
The following is a brief description of the development features provided by make help:
make setup # install prerequisites (BEWARE: THIS WILL CHANGE YOUR SYSTEM)
make fetch # Dependant modules should be downloaded and prepared.
make build # assemble and link
COORD=1|oss|rlec # create coordinator (1|oss: Open Source, rlec: (Reliable Linux Environment) Enterprise)
STATIC=1 # Construct a static library
LITE=1 # construct RediSearchLight
VECSIM_MARCH=arch # VecSim build architecture
DEBUG=1 # construct for debugging
NO_TESTS=1 # turn off unit tests
WHY=1 # describe CMake decisions(in /tmp/cmake-why)
FORCE=1 # Make CMake run again (default)
CMAKE_ARGS=... # Additional CMake parameters
VG=1 # construct for Valgrind
SAN=type # LLVM sanitizer is used to construct(type=address|memory|leak|thread)
SLOW=1 # Designs should not be multi-core. (for diagnostics)
make parsers # code for parsers
make clean #Delete any construction artefacts
ALL=1 # Delete the whole artefacts folder
make run # use RediSearch to run Redis
GDB=1 #use gdb to execute
make test # Execute all tests (via ctest)
COORD=1|oss|rlec # coordinator of tests
TEST=regex # run regex-matching tests
TESTDEBUG=1 #be extremely talkative (CTest-related)
CTEST_ARG=... #CTest should be given args.
CTEST_PARALLEL=n #carry out tests in parallel
make pytest # Execute python tests (tests/pytests)
COORD=1|oss|rlec # coordinator of tests
TEST=name # e.g. TEST=test:testSearch
RLTEST_ARGS=... # args are passed to RLTest
REJSON=1|0 # Load the RedisJSON module as well.
REJSON_PATH=path # 'path', use the RedisJSON module
EXT=1 #(Existing) external environment
GDB=1 # Realtime debugging with RLTest
VG=1 # using Valgrind
VG_LEAKS=0 # Valgrind should not be used to look for leaks.
SAN=type # LLVM sanitizer is used.(type=address|memory|leak|thread)
ONLY_STABLE=1 # remove insecure tests
make c_tests # Execute C tests (from tests/ctests)
make cpp_tests # Execute C++ tests (from tests/cpptests)
TEST=name # e.g. TEST=FGCTest.testRemoveLastBlock
make callgrind # generate a call graph
REDIS_ARGS="args"
make pack # make packages for installation
COORD=rlec # RLEC pack coordinator('redisearch' package)
LITE=1 # RediSearchLight pack('redisearch-light' package)
make deploy # packages to S3 copy
make release # create a new version
make docs # establish documentation
make deploy-docs # distribute documentation
make platform # construct for a specific platform
OSNICK=nick # basis on which to construct(default: host platform)
TEST=1 # after the construction, execute tests
PACK=1 # make a package
ARTIFACTS=1 # artefacts to the host
make box # create a container in /search using volumen mapping
OSNICK=nick # platform specifications
make sanbox # CLang Sanitizer is use to make containers.
In the next section, we’ll see the running of Redis with RediSearch.
Redis with RediSearch in use
The commands below will start Redis and load the RediSearch module.
make run
To communicate with redis-cli, open it in another tab.
In the next section, we'll show how to Execute the Test in RediSearch.
Execute tests
Unit tests are divided into various categories:
-
make c_tests run the C tests in tests/ctests.
-
make cpp_tests runs C++ tests (activated by GTest), which are located in tests/cpptests.
-
make pytest runs Python tests (enabled by RLTest), found in tests/pytests.
make test can be used to run all tests. The TEST option can be used to run a single test, such as make test TEST=regex.
In the upcoming section, we'll learn the debugging process.
Debugging
Run make DEBUG=1 to construct for the purpose of debugging (allowing symbolic information and disabling optimization). To execute gdb, use the command make run DEBUG=1. In addition to standard methods for the setting debugger in gdb, the BB macro can be used to set a stop within the RediSearch code. Only when executing under gdb, will it have an effect.
This was all about Developer Notes For RediSearch. Let us now see some of the FAQs related to the topic.
Frequently Asked Questions
How does Redis store data?
Data is saved in memory because Redis is an in-memory database (or RAM). All data stored on a server is lost if it crashes. For the data on the disc, Redis has backup procedures in place. The data is loaded from the drive into memory when the server reboots.
Can Redis data be lost?
When the workload is high enough that the "partial sync" stops, Redis will lose data if a master shard is lost.
How does RediSearch work?
RediSearch is a progressive indexing strategy for fast index construction and deletion, allowing you to quickly create indexes on datasets (Hashes). The indexes allow you to do complex aggregations, filter by characteristics, numeric ranges, and geographical distance, and query your data at lightning speed.
In what language Redis has been written?
Redis has been written in C language.
How many keys does Redis support?
Redis can handle up to 2^32 keys per instance and has been tested to support at least 250 million keys. There are 2^32 elements in every hash, list, set, and sorted set. In other words, your system's memory is most likely your limit.
Conclusion
In this article, we have extensively discussed Developer Notes For RediSearch. We saw RediSearch Development and its works in an isolated situation, then its installation requirements and also some faqs related to this topic.
After reading about Developer Notes For RediSearch, are you not feeling excited to read/explore more articles on related topics? Don’t worry Coding ninjas has you covered. To learn to see Redis Config, Redis Administration Data types in Redis, Redis Security, Keyspace notifications in Redis
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