@Shailesh Nookala Sure, if you are thinking to insert the data to Sql Server we
can do that by using NiFi, You don’t have to download the file at all. You can
do that couple of ways by using ExtractText Processor and extract all the
contents of csv file into attributes and prepare insert statement by using
ReplaceText Processor and push the data to Sql server. Another method is preparing json document for input CSV file
and extracting all the attributes of flow file and prepare record to insert
data to SQL server.
I’m using Json method which is easy to extract attributes of flowfiles. Example:- Let’s consider you
are having the csv file having just 2 records in it.
1,test,1000 2,test1,2000 As I’m using NiFi 1.1 there is no direct processor which can
convert the incoming csv file to json. we need to follow InferAvroSchema--> ConvertCSVToAvro --> ConvertAvroToJSON the output would be in Json format with the same contents of our input
CSV file.
But in new versions of NiFi(I think from 1.3) there are processors to convert
CSV to Json directly using ConvertRecord Processor.
InferAvroSchema:- In this processor I’m giving the incoming csv file
definition (or) you can read header definition from incoming flowfile by
changing Get CSV Header Definition From Data property to true NiFi can
read definition from 1 line of file.
as I know my incoming file having id,name,salary I have given this definition
and keep Schema Output Destination to flowfile-attribute we can make use
of this schema in ConvertCSVToAvro
processor. ConvertCSVToAvro:- change the Record Schema property to ${inferred.avro.schema} Which can infer the schema from flowfile attribute.
ConvertAvroToJSON:- drag and drop ConvertAvroToJSON processor and leave the properties
to default.
Output:-
[{"id": 1, "name":
"test", "salary": 1000},{"id": 2,
"name": "test1", "salary": 2000}] SplitJson:- If you are having more than 1 record in your csv file use
splitjson processor because if ConvertAvroToJSON
processors find more than one record in the flowfile it will make an array and
keep all the records inside the array.
As we need only 1 record in the flowfile before inserting data to Sqlserver. If your flowfile having array then json path expression property should be $.* as it will dynamically splits the array of records to one record for one flowfile. Input:- [{"id": 1, "name": "test","salary": 1000},{"id": 2, "name":"test1", "salary": 2000}] Output:- flowfile1:-
{"id": 1, "name": "test", "salary":
1000}flowfile2:-
{"id": 2, "name": "test1", "salary":
2000} As Splijson splits the array into individual records.
EvaluateJsonPath configs:- in this processor extracting all the contents of flowfile to attributes
by changing the list of properties Destination as flowfile-attribute extracting contents of json file by adding new properties by clicking +
symbol on right corner. id as $.id
name as $.name
salary as $.salary ReplaceText Configs:- We are preparing insert statement in this processor and
change Replacement Strategy property as AlwaysReplace Use insert statement and give destination table name and use
the extracted attributes to replace the contents of values dynamically. insert into sqlserver_tablename (id,name,salary) values (${id},${name},${salary}) output:- flowfile1 content:-
insert into sqlserver_tablename (id,name,salary) values(1,test,1000)
flowfile2 content:-
insert into sqlserver_tablename (id,name,salary) values(2,test1,2000)
PutSQL Configs:-
use putsql processor and make a connection pool to sql server enable and use the connection pool.
so Putsql processor will executes all the insert statements that we are having
contents of the flowfile and all the data will get inserted to sql server. FlowScreenshot:-
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