![]() ![]() You can save the data in the memory to a. The CSV will be now cached into the redis memory. cat output.txt | python gen_redis_proto.py | redis-cli -pipe Now follow these steps to import CSV file into SQL Server Management Studio. In the SSMS, execute the following script to create the database: 1. Let’s first create a dummy database named ‘Bar’ and try to import the CSV file into the Bar database. ![]() Now run the following command to generate the redis protocol command and save to redis using the mass insert method. You can import a CSV file into a specific database. "Return a bytestring representation of the value" _copyleft_ = "Copyleft (c) 2013 Salimane Adjao Moustapha" _author_ = "Salimane Adjao Moustapha ( )" SQLPro can determine table structures based on CSV contents and conveniently. It accepts as input a pipe with redis commands formatted as "SET key value" or "DEL key".Įcho "SET,mykey1,value1\nSET,mykey2,value2" > data.txtĬat data.txt | python gen_redis_proto.py | redis-cli -pipe CSV files can be imported into existing tables or new tables can be created. Generate the Redis protocol, in raw format, in order to use 'redis-cli -pipe' command to massively insert/delete. Raw GitHub link #!/usr/bin/env python -tt We will be using the redis mass insert method for that.Ĭopy and save the following script to gen_redis_proto.py. Here we will be generating the redis protocol to convert the redis commands for importing to redis. Step – 3 | Convert the Redis command generated to Redis protocol. However, you need to convert the Redis commands to Redis protocol to do that. Note: We will be using the Redis mass insert. (Counting start from 1 and not 0) awk -F, 'BEGIN ' input.csv | sed 's/\"//g' > output.txt This will print “SET, key1, key2” from the “input.csv” file and remove the double quotes. Let’s call this as input.csv 1, key1, value1, created_at, updated_atĬonvert the CSV to Redis commands. Step -2 | Convert the raw CSV data to Redis Commands (Generate the Redis commands from CSV) We used “sequel pro” to dump the data to CSV format. Here the data is exported to CSV format from the SQL data store using the favourite tools. Let’s see how can we convert that to CSV and then to redis. ![]() Create a table disk space by copying the following code in SQL Server Management Studio. Since we already had a huge chunk of data in SQL database. Download the following script: Invoke-SqlCmd2.ps1 2. When dealing with a huge amount of static data’s which are requested continuously, we need to have a fast key-value cache in place. ![]()
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