Re: JSON to SQL
Thans for the tip, I've realize about that end I've ended using explode as
you said.
This is my attempt
var res=(df.explode("rows","r") {
l: WrappedArray[ArrayBuffer[String]] => l.toList}).select("r")
.map { m => m.getList[Row](0) }
var u = res.map { m => Row.fromSeq(m.toSeq) }
var df1 = df.sqlContext.createDataFrame(u, getScheme(df) )
It woks ok, but throws an invalid cast to Integer if the scheme have some
IntegerType, looks like a spark-csv bug, but I can solved anyway
Thanks for the help.
On Thu, Jan 28, 2016 at 7:43 PM, Mohammed Guller
wrote:
> You don’t need Hive for that. The DataFrame class has a method named
> explode, which provides the same functionality.
>
>
>
> Here is an example from the Spark API documentation:
>
> df.explode("words", "word"){words: String => words.split(" ")}
>
>
>
> The first argument to the explode method is the name of the input column
> and the second argument is the name of the output column.
>
>
>
> Mohammed
>
> Author: Big Data Analytics with Spark
> <http://www.amazon.com/Big-Data-Analytics-Spark-Practitioners/dp/1484209656/>
>
>
>
> *From:* Andrés Ivaldi [mailto:iaiva...@gmail.com]
> *Sent:* Wednesday, January 27, 2016 7:17 PM
> *To:* Cheng, Hao
> *Cc:* Sahil Sareen; Al Pivonka; user
>
> *Subject:* Re: JSON to SQL
>
>
>
> I'm using DataFrames reading the JSON exactly as you say, and I can get
> the scheme from there. Reading the documentation, I realized that is
> possible to create Dynamically a Structure, so applying some
> transformations to the dataFrame plus the new structure I'll be able to
> save the JSON on my DBRM.
>
>
>
> For the flatten approach, you mentioned LateralView, do I need Hive DB for
> that? or just the Spark Hive Context? I saw some examples and that is
> exactly what I'm needing. Can you explain it a little bit more?
>
>
>
> Thanks
>
>
>
> On Wed, Jan 27, 2016 at 10:29 PM, Cheng, Hao wrote:
>
> Have you ever try the DataFrame API like:
> sqlContext.read.json("/path/to/file.json"); the Spark SQL will auto infer
> the type/schema for you.
>
>
>
> And lateral view will help on the flatten issues,
>
> https://cwiki.apache.org/confluence/display/Hive/LanguageManual+LateralView,
> as well as the “a.b[0].c” format of expression.
>
>
>
>
>
> *From:* Andrés Ivaldi [mailto:iaiva...@gmail.com]
> *Sent:* Thursday, January 28, 2016 3:39 AM
> *To:* Sahil Sareen
> *Cc:* Al Pivonka; user
> *Subject:* Re: JSON to SQL
>
>
>
> I'm really brand new with Scala, but if I'm defining a case class then is
> becouse I know how is the json's structure is previously?
>
> If I'm able to define dinamicaly a case class from the JSON structure then
> even with spark I will be able to extract the data
>
>
>
> On Wed, Jan 27, 2016 at 4:01 PM, Sahil Sareen wrote:
>
> Isn't this just about defining a case class and using
> parse(json).extract[CaseClassName] using Jackson?
>
> -Sahil
>
>
>
> On Wed, Jan 27, 2016 at 11:08 PM, Andrés Ivaldi
> wrote:
>
> We dont have Domain Objects, its a service like a pipeline, data is read
> from source and they are saved it in relational Database
>
> I can read the structure from DataFrames, and do some transformations, I
> would prefer to do it with Spark to be consistent with the process
>
>
>
> On Wed, Jan 27, 2016 at 12:25 PM, Al Pivonka wrote:
>
> Are you using an Relational Database?
>
> If so why not use a nojs DB ? then pull from it to your relational?
>
>
>
> Or utilize a library that understands Json structure like Jackson to
> obtain the data from the Json structure the persist the Domain Objects ?
>
>
>
> On Wed, Jan 27, 2016 at 9:45 AM, Andrés Ivaldi wrote:
>
> Sure,
>
> The Job is like an etl, but without interface, so I decide the rules of
> how the JSON will be saved into a SQL Table.
>
>
>
> I need to Flatten the hierarchies where is possible in case of list
> flatten also, nested objects Won't be processed by now
>
> {"a":1,"b":[2,3],"c"="Field", "d":[4,5,6,7,8] }
> {"a":11,"b":[22,33],"c"="Field1", "d":[44,55,66,77,88] }
> {"a":111,"b":[222,333],"c"="Field2", "d":[44,55,666,777,888] }
>
> I would like something like this on my SQL table
>
> ab c d
>
> 12,3Field 4,5,6,7,8
>
> 11 22,33 Field144,55,66,77,88
&g
RE: JSON to SQL
You don’t need Hive for that. The DataFrame class has a method named explode,
which provides the same functionality.
Here is an example from the Spark API documentation:
df.explode("words", "word"){words: String => words.split(" ")}
The first argument to the explode method is the name of the input column and
the second argument is the name of the output column.
Mohammed
Author: Big Data Analytics with
Spark<http://www.amazon.com/Big-Data-Analytics-Spark-Practitioners/dp/1484209656/>
From: Andrés Ivaldi [mailto:iaiva...@gmail.com]
Sent: Wednesday, January 27, 2016 7:17 PM
To: Cheng, Hao
Cc: Sahil Sareen; Al Pivonka; user
Subject: Re: JSON to SQL
I'm using DataFrames reading the JSON exactly as you say, and I can get the
scheme from there. Reading the documentation, I realized that is possible to
create Dynamically a Structure, so applying some transformations to the
dataFrame plus the new structure I'll be able to save the JSON on my DBRM.
For the flatten approach, you mentioned LateralView, do I need Hive DB for
that? or just the Spark Hive Context? I saw some examples and that is exactly
what I'm needing. Can you explain it a little bit more?
Thanks
On Wed, Jan 27, 2016 at 10:29 PM, Cheng, Hao
mailto:hao.ch...@intel.com>> wrote:
Have you ever try the DataFrame API like:
sqlContext.read.json("/path/to/file.json"); the Spark SQL will auto infer the
type/schema for you.
And lateral view will help on the flatten issues,
https://cwiki.apache.org/confluence/display/Hive/LanguageManual+LateralView, as
well as the “a.b[0].c” format of expression.
From: Andrés Ivaldi [mailto:iaiva...@gmail.com<mailto:iaiva...@gmail.com>]
Sent: Thursday, January 28, 2016 3:39 AM
To: Sahil Sareen
Cc: Al Pivonka; user
Subject: Re: JSON to SQL
I'm really brand new with Scala, but if I'm defining a case class then is
becouse I know how is the json's structure is previously?
If I'm able to define dinamicaly a case class from the JSON structure then even
with spark I will be able to extract the data
On Wed, Jan 27, 2016 at 4:01 PM, Sahil Sareen
mailto:sareen...@gmail.com>> wrote:
Isn't this just about defining a case class and using
parse(json).extract[CaseClassName] using Jackson?
-Sahil
On Wed, Jan 27, 2016 at 11:08 PM, Andrés Ivaldi
mailto:iaiva...@gmail.com>> wrote:
We dont have Domain Objects, its a service like a pipeline, data is read from
source and they are saved it in relational Database
I can read the structure from DataFrames, and do some transformations, I would
prefer to do it with Spark to be consistent with the process
On Wed, Jan 27, 2016 at 12:25 PM, Al Pivonka
mailto:alpivo...@gmail.com>> wrote:
Are you using an Relational Database?
If so why not use a nojs DB ? then pull from it to your relational?
Or utilize a library that understands Json structure like Jackson to obtain the
data from the Json structure the persist the Domain Objects ?
On Wed, Jan 27, 2016 at 9:45 AM, Andrés Ivaldi
mailto:iaiva...@gmail.com>> wrote:
Sure,
The Job is like an etl, but without interface, so I decide the rules of how the
JSON will be saved into a SQL Table.
I need to Flatten the hierarchies where is possible in case of list flatten
also, nested objects Won't be processed by now
{"a":1,"b":[2,3],"c"="Field", "d":[4,5,6,7,8] }
{"a":11,"b":[22,33],"c"="Field1", "d":[44,55,66,77,88] }
{"a":111,"b":[222,333],"c"="Field2", "d":[44,55,666,777,888] }
I would like something like this on my SQL table
ab c d
12,3Field 4,5,6,7,8
11 22,33 Field144,55,66,77,88
111 222,333Field2444,555,,666,777,888
Right now this is what i need
I will later add more intelligence, like detection of list or nested objects
and create relations in other tables.
On Wed, Jan 27, 2016 at 11:25 AM, Al Pivonka
mailto:alpivo...@gmail.com>> wrote:
More detail is needed.
Can you provide some context to the use-case ?
On Wed, Jan 27, 2016 at 8:33 AM, Andrés Ivaldi
mailto:iaiva...@gmail.com>> wrote:
Hello, I'm trying to Save a JSON filo into SQL table.
If i try to do this directly the IlligalArgumentException is raised, I suppose
this is beacouse JSON have a hierarchical structure, is that correct?
If that is the problem, how can I flatten the JSON structure? The JSON
structure to be processed would be unknow, so I need to do it programatically
regards
--
Ing. Ivaldi Andres
--
Those who say it can't be done, are usually interrupted by those doing it.
--
Ing. Ivaldi Andres
--
Those who say it can't be done, are usually interrupted by those doing it.
--
Ing. Ivaldi Andres
--
Ing. Ivaldi Andres
--
Ing. Ivaldi Andres
Re: JSON to SQL
I'm using DataFrames reading the JSON exactly as you say, and I can get the
scheme from there. Reading the documentation, I realized that is possible
to create Dynamically a Structure, so applying some transformations to the
dataFrame plus the new structure I'll be able to save the JSON on my DBRM.
For the flatten approach, you mentioned LateralView, do I need Hive DB for
that? or just the Spark Hive Context? I saw some examples and that is
exactly what I'm needing. Can you explain it a little bit more?
Thanks
On Wed, Jan 27, 2016 at 10:29 PM, Cheng, Hao wrote:
> Have you ever try the DataFrame API like:
> sqlContext.read.json("/path/to/file.json"); the Spark SQL will auto infer
> the type/schema for you.
>
>
>
> And lateral view will help on the flatten issues,
>
> https://cwiki.apache.org/confluence/display/Hive/LanguageManual+LateralView,
> as well as the “a.b[0].c” format of expression.
>
>
>
>
>
> *From:* Andrés Ivaldi [mailto:iaiva...@gmail.com]
> *Sent:* Thursday, January 28, 2016 3:39 AM
> *To:* Sahil Sareen
> *Cc:* Al Pivonka; user
> *Subject:* Re: JSON to SQL
>
>
>
> I'm really brand new with Scala, but if I'm defining a case class then is
> becouse I know how is the json's structure is previously?
>
> If I'm able to define dinamicaly a case class from the JSON structure then
> even with spark I will be able to extract the data
>
>
>
> On Wed, Jan 27, 2016 at 4:01 PM, Sahil Sareen wrote:
>
> Isn't this just about defining a case class and using
> parse(json).extract[CaseClassName] using Jackson?
>
> -Sahil
>
>
>
> On Wed, Jan 27, 2016 at 11:08 PM, Andrés Ivaldi
> wrote:
>
> We dont have Domain Objects, its a service like a pipeline, data is read
> from source and they are saved it in relational Database
>
> I can read the structure from DataFrames, and do some transformations, I
> would prefer to do it with Spark to be consistent with the process
>
>
>
> On Wed, Jan 27, 2016 at 12:25 PM, Al Pivonka wrote:
>
> Are you using an Relational Database?
>
> If so why not use a nojs DB ? then pull from it to your relational?
>
>
>
> Or utilize a library that understands Json structure like Jackson to
> obtain the data from the Json structure the persist the Domain Objects ?
>
>
>
> On Wed, Jan 27, 2016 at 9:45 AM, Andrés Ivaldi wrote:
>
> Sure,
>
> The Job is like an etl, but without interface, so I decide the rules of
> how the JSON will be saved into a SQL Table.
>
>
>
> I need to Flatten the hierarchies where is possible in case of list
> flatten also, nested objects Won't be processed by now
>
> {"a":1,"b":[2,3],"c"="Field", "d":[4,5,6,7,8] }
> {"a":11,"b":[22,33],"c"="Field1", "d":[44,55,66,77,88] }
> {"a":111,"b":[222,333],"c"="Field2", "d":[44,55,666,777,888] }
>
> I would like something like this on my SQL table
>
> ab c d
>
> 12,3Field 4,5,6,7,8
>
> 11 22,33 Field144,55,66,77,88
>
> 111 222,333Field2444,555,,666,777,888
>
> Right now this is what i need
>
> I will later add more intelligence, like detection of list or nested
> objects and create relations in other tables.
>
>
>
>
>
>
>
> On Wed, Jan 27, 2016 at 11:25 AM, Al Pivonka wrote:
>
> More detail is needed.
>
> Can you provide some context to the use-case ?
>
>
>
> On Wed, Jan 27, 2016 at 8:33 AM, Andrés Ivaldi wrote:
>
> Hello, I'm trying to Save a JSON filo into SQL table.
>
> If i try to do this directly the IlligalArgumentException is raised, I
> suppose this is beacouse JSON have a hierarchical structure, is that
> correct?
>
> If that is the problem, how can I flatten the JSON structure? The JSON
> structure to be processed would be unknow, so I need to do it
> programatically
>
> regards
>
> --
>
> Ing. Ivaldi Andres
>
>
>
>
>
> --
>
> Those who say it can't be done, are usually interrupted by those doing it.
>
>
>
> --
>
> Ing. Ivaldi Andres
>
>
>
>
>
> --
>
> Those who say it can't be done, are usually interrupted by those doing it.
>
>
>
> --
>
> Ing. Ivaldi Andres
>
>
>
>
>
>
> --
>
> Ing. Ivaldi Andres
>
--
Ing. Ivaldi Andres
RE: JSON to SQL
Have you ever try the DataFrame API like:
sqlContext.read.json("/path/to/file.json"); the Spark SQL will auto infer the
type/schema for you.
And lateral view will help on the flatten issues,
https://cwiki.apache.org/confluence/display/Hive/LanguageManual+LateralView, as
well as the “a.b[0].c” format of expression.
From: Andrés Ivaldi [mailto:iaiva...@gmail.com]
Sent: Thursday, January 28, 2016 3:39 AM
To: Sahil Sareen
Cc: Al Pivonka; user
Subject: Re: JSON to SQL
I'm really brand new with Scala, but if I'm defining a case class then is
becouse I know how is the json's structure is previously?
If I'm able to define dinamicaly a case class from the JSON structure then even
with spark I will be able to extract the data
On Wed, Jan 27, 2016 at 4:01 PM, Sahil Sareen
mailto:sareen...@gmail.com>> wrote:
Isn't this just about defining a case class and using
parse(json).extract[CaseClassName] using Jackson?
-Sahil
On Wed, Jan 27, 2016 at 11:08 PM, Andrés Ivaldi
mailto:iaiva...@gmail.com>> wrote:
We dont have Domain Objects, its a service like a pipeline, data is read from
source and they are saved it in relational Database
I can read the structure from DataFrames, and do some transformations, I would
prefer to do it with Spark to be consistent with the process
On Wed, Jan 27, 2016 at 12:25 PM, Al Pivonka
mailto:alpivo...@gmail.com>> wrote:
Are you using an Relational Database?
If so why not use a nojs DB ? then pull from it to your relational?
Or utilize a library that understands Json structure like Jackson to obtain the
data from the Json structure the persist the Domain Objects ?
On Wed, Jan 27, 2016 at 9:45 AM, Andrés Ivaldi
mailto:iaiva...@gmail.com>> wrote:
Sure,
The Job is like an etl, but without interface, so I decide the rules of how the
JSON will be saved into a SQL Table.
I need to Flatten the hierarchies where is possible in case of list flatten
also, nested objects Won't be processed by now
{"a":1,"b":[2,3],"c"="Field", "d":[4,5,6,7,8] }
{"a":11,"b":[22,33],"c"="Field1", "d":[44,55,66,77,88] }
{"a":111,"b":[222,333],"c"="Field2", "d":[44,55,666,777,888] }
I would like something like this on my SQL table
ab c d
12,3Field 4,5,6,7,8
11 22,33 Field144,55,66,77,88
111 222,333Field2444,555,,666,777,888
Right now this is what i need
I will later add more intelligence, like detection of list or nested objects
and create relations in other tables.
On Wed, Jan 27, 2016 at 11:25 AM, Al Pivonka
mailto:alpivo...@gmail.com>> wrote:
More detail is needed.
Can you provide some context to the use-case ?
On Wed, Jan 27, 2016 at 8:33 AM, Andrés Ivaldi
mailto:iaiva...@gmail.com>> wrote:
Hello, I'm trying to Save a JSON filo into SQL table.
If i try to do this directly the IlligalArgumentException is raised, I suppose
this is beacouse JSON have a hierarchical structure, is that correct?
If that is the problem, how can I flatten the JSON structure? The JSON
structure to be processed would be unknow, so I need to do it programatically
regards
--
Ing. Ivaldi Andres
--
Those who say it can't be done, are usually interrupted by those doing it.
--
Ing. Ivaldi Andres
--
Those who say it can't be done, are usually interrupted by those doing it.
--
Ing. Ivaldi Andres
--
Ing. Ivaldi Andres
Re: JSON to SQL
I'm really brand new with Scala, but if I'm defining a case class then is
becouse I know how is the json's structure is previously?
If I'm able to define dinamicaly a case class from the JSON structure then
even with spark I will be able to extract the data
On Wed, Jan 27, 2016 at 4:01 PM, Sahil Sareen wrote:
> Isn't this just about defining a case class and using
> parse(json).extract[CaseClassName] using Jackson?
>
> -Sahil
>
> On Wed, Jan 27, 2016 at 11:08 PM, Andrés Ivaldi
> wrote:
>
>> We dont have Domain Objects, its a service like a pipeline, data is read
>> from source and they are saved it in relational Database
>>
>> I can read the structure from DataFrames, and do some transformations, I
>> would prefer to do it with Spark to be consistent with the process
>>
>>
>>
>> On Wed, Jan 27, 2016 at 12:25 PM, Al Pivonka wrote:
>>
>>> Are you using an Relational Database?
>>> If so why not use a nojs DB ? then pull from it to your relational?
>>>
>>> Or utilize a library that understands Json structure like Jackson to
>>> obtain the data from the Json structure the persist the Domain Objects ?
>>>
>>> On Wed, Jan 27, 2016 at 9:45 AM, Andrés Ivaldi
>>> wrote:
>>>
Sure,
The Job is like an etl, but without interface, so I decide the rules of
how the JSON will be saved into a SQL Table.
I need to Flatten the hierarchies where is possible in case of list
flatten also, nested objects Won't be processed by now
{"a":1,"b":[2,3],"c"="Field", "d":[4,5,6,7,8] }
{"a":11,"b":[22,33],"c"="Field1", "d":[44,55,66,77,88] }
{"a":111,"b":[222,333],"c"="Field2", "d":[44,55,666,777,888] }
I would like something like this on my SQL table
ab c d
12,3Field 4,5,6,7,8
11 22,33 Field144,55,66,77,88
111 222,333Field2444,555,,666,777,888
Right now this is what i need
I will later add more intelligence, like detection of list or nested
objects and create relations in other tables.
On Wed, Jan 27, 2016 at 11:25 AM, Al Pivonka
wrote:
> More detail is needed.
> Can you provide some context to the use-case ?
>
> On Wed, Jan 27, 2016 at 8:33 AM, Andrés Ivaldi
> wrote:
>
>> Hello, I'm trying to Save a JSON filo into SQL table.
>>
>> If i try to do this directly the IlligalArgumentException is raised,
>> I suppose this is beacouse JSON have a hierarchical structure, is that
>> correct?
>>
>> If that is the problem, how can I flatten the JSON structure? The
>> JSON structure to be processed would be unknow, so I need to do it
>> programatically
>>
>> regards
>>
>> --
>> Ing. Ivaldi Andres
>>
>
>
>
> --
> Those who say it can't be done, are usually interrupted by those doing
> it.
>
--
Ing. Ivaldi Andres
>>>
>>>
>>>
>>> --
>>> Those who say it can't be done, are usually interrupted by those doing
>>> it.
>>>
>>
>>
>>
>> --
>> Ing. Ivaldi Andres
>>
>
>
--
Ing. Ivaldi Andres
Re: JSON to SQL
Isn't this just about defining a case class and using
parse(json).extract[CaseClassName] using Jackson?
-Sahil
On Wed, Jan 27, 2016 at 11:08 PM, Andrés Ivaldi wrote:
> We dont have Domain Objects, its a service like a pipeline, data is read
> from source and they are saved it in relational Database
>
> I can read the structure from DataFrames, and do some transformations, I
> would prefer to do it with Spark to be consistent with the process
>
>
>
> On Wed, Jan 27, 2016 at 12:25 PM, Al Pivonka wrote:
>
>> Are you using an Relational Database?
>> If so why not use a nojs DB ? then pull from it to your relational?
>>
>> Or utilize a library that understands Json structure like Jackson to
>> obtain the data from the Json structure the persist the Domain Objects ?
>>
>> On Wed, Jan 27, 2016 at 9:45 AM, Andrés Ivaldi
>> wrote:
>>
>>> Sure,
>>> The Job is like an etl, but without interface, so I decide the rules of
>>> how the JSON will be saved into a SQL Table.
>>>
>>> I need to Flatten the hierarchies where is possible in case of list
>>> flatten also, nested objects Won't be processed by now
>>>
>>> {"a":1,"b":[2,3],"c"="Field", "d":[4,5,6,7,8] }
>>> {"a":11,"b":[22,33],"c"="Field1", "d":[44,55,66,77,88] }
>>> {"a":111,"b":[222,333],"c"="Field2", "d":[44,55,666,777,888] }
>>>
>>> I would like something like this on my SQL table
>>>
>>> ab c d
>>> 12,3Field 4,5,6,7,8
>>> 11 22,33 Field144,55,66,77,88
>>> 111 222,333Field2444,555,,666,777,888
>>>
>>> Right now this is what i need
>>>
>>> I will later add more intelligence, like detection of list or nested
>>> objects and create relations in other tables.
>>>
>>>
>>>
>>> On Wed, Jan 27, 2016 at 11:25 AM, Al Pivonka
>>> wrote:
>>>
More detail is needed.
Can you provide some context to the use-case ?
On Wed, Jan 27, 2016 at 8:33 AM, Andrés Ivaldi
wrote:
> Hello, I'm trying to Save a JSON filo into SQL table.
>
> If i try to do this directly the IlligalArgumentException is raised, I
> suppose this is beacouse JSON have a hierarchical structure, is that
> correct?
>
> If that is the problem, how can I flatten the JSON structure? The JSON
> structure to be processed would be unknow, so I need to do it
> programatically
>
> regards
>
> --
> Ing. Ivaldi Andres
>
--
Those who say it can't be done, are usually interrupted by those doing
it.
>>>
>>>
>>>
>>> --
>>> Ing. Ivaldi Andres
>>>
>>
>>
>>
>> --
>> Those who say it can't be done, are usually interrupted by those doing it.
>>
>
>
>
> --
> Ing. Ivaldi Andres
>
Re: JSON to SQL
We dont have Domain Objects, its a service like a pipeline, data is read
from source and they are saved it in relational Database
I can read the structure from DataFrames, and do some transformations, I
would prefer to do it with Spark to be consistent with the process
On Wed, Jan 27, 2016 at 12:25 PM, Al Pivonka wrote:
> Are you using an Relational Database?
> If so why not use a nojs DB ? then pull from it to your relational?
>
> Or utilize a library that understands Json structure like Jackson to
> obtain the data from the Json structure the persist the Domain Objects ?
>
> On Wed, Jan 27, 2016 at 9:45 AM, Andrés Ivaldi wrote:
>
>> Sure,
>> The Job is like an etl, but without interface, so I decide the rules of
>> how the JSON will be saved into a SQL Table.
>>
>> I need to Flatten the hierarchies where is possible in case of list
>> flatten also, nested objects Won't be processed by now
>>
>> {"a":1,"b":[2,3],"c"="Field", "d":[4,5,6,7,8] }
>> {"a":11,"b":[22,33],"c"="Field1", "d":[44,55,66,77,88] }
>> {"a":111,"b":[222,333],"c"="Field2", "d":[44,55,666,777,888] }
>>
>> I would like something like this on my SQL table
>>
>> ab c d
>> 12,3Field 4,5,6,7,8
>> 11 22,33 Field144,55,66,77,88
>> 111 222,333Field2444,555,,666,777,888
>>
>> Right now this is what i need
>>
>> I will later add more intelligence, like detection of list or nested
>> objects and create relations in other tables.
>>
>>
>>
>> On Wed, Jan 27, 2016 at 11:25 AM, Al Pivonka wrote:
>>
>>> More detail is needed.
>>> Can you provide some context to the use-case ?
>>>
>>> On Wed, Jan 27, 2016 at 8:33 AM, Andrés Ivaldi
>>> wrote:
>>>
Hello, I'm trying to Save a JSON filo into SQL table.
If i try to do this directly the IlligalArgumentException is raised, I
suppose this is beacouse JSON have a hierarchical structure, is that
correct?
If that is the problem, how can I flatten the JSON structure? The JSON
structure to be processed would be unknow, so I need to do it
programatically
regards
--
Ing. Ivaldi Andres
>>>
>>>
>>>
>>> --
>>> Those who say it can't be done, are usually interrupted by those doing
>>> it.
>>>
>>
>>
>>
>> --
>> Ing. Ivaldi Andres
>>
>
>
>
> --
> Those who say it can't be done, are usually interrupted by those doing it.
>
--
Ing. Ivaldi Andres
Re: JSON to SQL
Are you using an Relational Database?
If so why not use a nojs DB ? then pull from it to your relational?
Or utilize a library that understands Json structure like Jackson to obtain
the data from the Json structure the persist the Domain Objects ?
On Wed, Jan 27, 2016 at 9:45 AM, Andrés Ivaldi wrote:
> Sure,
> The Job is like an etl, but without interface, so I decide the rules of
> how the JSON will be saved into a SQL Table.
>
> I need to Flatten the hierarchies where is possible in case of list
> flatten also, nested objects Won't be processed by now
>
> {"a":1,"b":[2,3],"c"="Field", "d":[4,5,6,7,8] }
> {"a":11,"b":[22,33],"c"="Field1", "d":[44,55,66,77,88] }
> {"a":111,"b":[222,333],"c"="Field2", "d":[44,55,666,777,888] }
>
> I would like something like this on my SQL table
>
> ab c d
> 12,3Field 4,5,6,7,8
> 11 22,33 Field144,55,66,77,88
> 111 222,333Field2444,555,,666,777,888
>
> Right now this is what i need
>
> I will later add more intelligence, like detection of list or nested
> objects and create relations in other tables.
>
>
>
> On Wed, Jan 27, 2016 at 11:25 AM, Al Pivonka wrote:
>
>> More detail is needed.
>> Can you provide some context to the use-case ?
>>
>> On Wed, Jan 27, 2016 at 8:33 AM, Andrés Ivaldi
>> wrote:
>>
>>> Hello, I'm trying to Save a JSON filo into SQL table.
>>>
>>> If i try to do this directly the IlligalArgumentException is raised, I
>>> suppose this is beacouse JSON have a hierarchical structure, is that
>>> correct?
>>>
>>> If that is the problem, how can I flatten the JSON structure? The JSON
>>> structure to be processed would be unknow, so I need to do it
>>> programatically
>>>
>>> regards
>>>
>>> --
>>> Ing. Ivaldi Andres
>>>
>>
>>
>>
>> --
>> Those who say it can't be done, are usually interrupted by those doing it.
>>
>
>
>
> --
> Ing. Ivaldi Andres
>
--
Those who say it can't be done, are usually interrupted by those doing it.
Re: JSON to SQL
Sure,
The Job is like an etl, but without interface, so I decide the rules of how
the JSON will be saved into a SQL Table.
I need to Flatten the hierarchies where is possible in case of list flatten
also, nested objects Won't be processed by now
{"a":1,"b":[2,3],"c"="Field", "d":[4,5,6,7,8] }
{"a":11,"b":[22,33],"c"="Field1", "d":[44,55,66,77,88] }
{"a":111,"b":[222,333],"c"="Field2", "d":[44,55,666,777,888] }
I would like something like this on my SQL table
ab c d
12,3Field 4,5,6,7,8
11 22,33 Field144,55,66,77,88
111 222,333Field2444,555,,666,777,888
Right now this is what i need
I will later add more intelligence, like detection of list or nested
objects and create relations in other tables.
On Wed, Jan 27, 2016 at 11:25 AM, Al Pivonka wrote:
> More detail is needed.
> Can you provide some context to the use-case ?
>
> On Wed, Jan 27, 2016 at 8:33 AM, Andrés Ivaldi wrote:
>
>> Hello, I'm trying to Save a JSON filo into SQL table.
>>
>> If i try to do this directly the IlligalArgumentException is raised, I
>> suppose this is beacouse JSON have a hierarchical structure, is that
>> correct?
>>
>> If that is the problem, how can I flatten the JSON structure? The JSON
>> structure to be processed would be unknow, so I need to do it
>> programatically
>>
>> regards
>>
>> --
>> Ing. Ivaldi Andres
>>
>
>
>
> --
> Those who say it can't be done, are usually interrupted by those doing it.
>
--
Ing. Ivaldi Andres
Re: JSON to SQL
More detail is needed. Can you provide some context to the use-case ? On Wed, Jan 27, 2016 at 8:33 AM, Andrés Ivaldi wrote: > Hello, I'm trying to Save a JSON filo into SQL table. > > If i try to do this directly the IlligalArgumentException is raised, I > suppose this is beacouse JSON have a hierarchical structure, is that > correct? > > If that is the problem, how can I flatten the JSON structure? The JSON > structure to be processed would be unknow, so I need to do it > programatically > > regards > > -- > Ing. Ivaldi Andres > -- Those who say it can't be done, are usually interrupted by those doing it.
