spark job execution model approach
{
"cust": "Retails",
"tables": [
{
"Name":"customer",
"table_NAME":"cust",
"param1":"cust_id",
"val":"112",
"op":"cust_name"
},
{
"Name":"sales",
"table_NAME":"sale",
"param1":"country",
"val":"ind",
"op":"monthly_sale"
}
]
}
{
"cust": "Retail1",
"tables": [
{
"Name":"customer",
"table_NAME":"cust",
"param1":"cust_id",
"val":"112",
"op":"cust_name"
}
]
}
how to read above json file,navigate to tables & form dynamic sql query , execute it in mongo DB ?
we have to form multiple queries from tables (i.e) from above
select cust_name from cust where cust_id = 112
get the result & store it in json file(json1).
same like SELECT MONTHLY_SALE FROM SALE WHERE COUNTRY = 'IND'
&we have to store this result in in above json file(json1)
here,we have to create 2 json files bcoz we have 2 objects(retails--json1,retail1--json2)
What is the best approach to do this(spark-scala)?
apache-spark apache-spark-sql spark-streaming apache-spark-mllib
add a comment |
{
"cust": "Retails",
"tables": [
{
"Name":"customer",
"table_NAME":"cust",
"param1":"cust_id",
"val":"112",
"op":"cust_name"
},
{
"Name":"sales",
"table_NAME":"sale",
"param1":"country",
"val":"ind",
"op":"monthly_sale"
}
]
}
{
"cust": "Retail1",
"tables": [
{
"Name":"customer",
"table_NAME":"cust",
"param1":"cust_id",
"val":"112",
"op":"cust_name"
}
]
}
how to read above json file,navigate to tables & form dynamic sql query , execute it in mongo DB ?
we have to form multiple queries from tables (i.e) from above
select cust_name from cust where cust_id = 112
get the result & store it in json file(json1).
same like SELECT MONTHLY_SALE FROM SALE WHERE COUNTRY = 'IND'
&we have to store this result in in above json file(json1)
here,we have to create 2 json files bcoz we have 2 objects(retails--json1,retail1--json2)
What is the best approach to do this(spark-scala)?
apache-spark apache-spark-sql spark-streaming apache-spark-mllib
add a comment |
{
"cust": "Retails",
"tables": [
{
"Name":"customer",
"table_NAME":"cust",
"param1":"cust_id",
"val":"112",
"op":"cust_name"
},
{
"Name":"sales",
"table_NAME":"sale",
"param1":"country",
"val":"ind",
"op":"monthly_sale"
}
]
}
{
"cust": "Retail1",
"tables": [
{
"Name":"customer",
"table_NAME":"cust",
"param1":"cust_id",
"val":"112",
"op":"cust_name"
}
]
}
how to read above json file,navigate to tables & form dynamic sql query , execute it in mongo DB ?
we have to form multiple queries from tables (i.e) from above
select cust_name from cust where cust_id = 112
get the result & store it in json file(json1).
same like SELECT MONTHLY_SALE FROM SALE WHERE COUNTRY = 'IND'
&we have to store this result in in above json file(json1)
here,we have to create 2 json files bcoz we have 2 objects(retails--json1,retail1--json2)
What is the best approach to do this(spark-scala)?
apache-spark apache-spark-sql spark-streaming apache-spark-mllib
{
"cust": "Retails",
"tables": [
{
"Name":"customer",
"table_NAME":"cust",
"param1":"cust_id",
"val":"112",
"op":"cust_name"
},
{
"Name":"sales",
"table_NAME":"sale",
"param1":"country",
"val":"ind",
"op":"monthly_sale"
}
]
}
{
"cust": "Retail1",
"tables": [
{
"Name":"customer",
"table_NAME":"cust",
"param1":"cust_id",
"val":"112",
"op":"cust_name"
}
]
}
how to read above json file,navigate to tables & form dynamic sql query , execute it in mongo DB ?
we have to form multiple queries from tables (i.e) from above
select cust_name from cust where cust_id = 112
get the result & store it in json file(json1).
same like SELECT MONTHLY_SALE FROM SALE WHERE COUNTRY = 'IND'
&we have to store this result in in above json file(json1)
here,we have to create 2 json files bcoz we have 2 objects(retails--json1,retail1--json2)
What is the best approach to do this(spark-scala)?
apache-spark apache-spark-sql spark-streaming apache-spark-mllib
apache-spark apache-spark-sql spark-streaming apache-spark-mllib
asked Nov 26 '18 at 12:20
swcraftswcraft
46
46
add a comment |
add a comment |
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