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From Ramasubramanian Narayanan <ramasubramanian.naraya...@gmail.com>
Subject Re: Regarding Rowkey and Column Family
Date Wed, 26 Dec 2012 15:05:14 GMT
Hi,

Thanks a lot... Can you please help me a sample code how to insert & read
Json object in HBase...

Also how  to select the particular row from column (inserted thru Json
sobject).

Have given the script based on  google'ng we did... Please help in using
this script how to use in HBase shell script also in Java..


-----------------------------
{ "Customer": {
"Customer Detail": [
{"CustomerNumber": "10000000001",
        "DOB": "01/01/01",
        "Fname": "Fname1",
        "Mname": "Mname1",
        "Lname": "Lname1",
"address": {
        "AddressType": "Home",
      "AddressLine1" :"1.1.Address Line1",
    "AddressLine2" :"1.1.Address Line2",
      "AddressLine3" :"1.1.Address Line3",
      "AddressLine4" :"1.1.Address Line4",
     "State" :"1.1.State",
    "City" :"1.1.City",
      "Country" :"1.1.Country"
      }
},
    { "CustomerNumber": "10000000002",
        "DOB": "01/02/01",
        "Fname": "Fname2",
        "Mname": "Mname2",
        "Lname": "Lname2",
"address": [{
        "AddressType": "Home",
      "AddressLine1" :"2.1.Address Line1",
    "AddressLine2" :"2.1.Address Line2",
      "AddressLine3" :"2.1.Address Line3",
      "AddressLine4" :"2.1.Address Line4",
     "State" :"2.1.State",
    "City" :"2.1.City",
      "Country" :"2.1.Country"
      },
  {
        "AddressType": "Office",
      "AddressLine1" :"2.2.Address Line1",
    "AddressLine2" :"2.2.Address Line2",
      "AddressLine3" :"2.2.Address Line3",
      "AddressLine4" :"2.2.Address Line4",
     "State" :"2.2.State",
    "City" :"2.2.City",
      "Country" :"2.2.Country"
      }
]

      },
      { "CustomerNumber": "10000000003",
        "DOB": "01/03/01",
        "Fname": "Fname3",
        "Mname": "Mname3",
        "Lname": "Lname3",
"address": [{
        "AddressType": "Home",
      "AddressLine1" :"3.1.Address Line1",
    "AddressLine2" :"3.1.Address Line2",
      "AddressLine3" :"3.1.Address Line3",
      "AddressLine4" :"3.1.Address Line4",
     "State" :"3.1.State",
    "City" :"3.1.City",
      "Country" :"3.1.Country"
      },
  {
        "AddressType": "Office",
      "AddressLine1" :"3.2.Address Line1",
    "AddressLine2" :"3.2.Address Line2",
      "AddressLine3" :"3.2.Address Line3",
      "AddressLine4" :"3.2.Address Line4",
     "State" :"3.2.State",
    "City" :"3.2.City",
      "Country" :"3.2.Country"
      },
  {
        "AddressType": "Others",
      "AddressLine1" :"3.3.Address Line1",
    "AddressLine2" :"3.3.Address Line2",
      "AddressLine3" :"3.3.Address Line3",
      "AddressLine4" :"3.3.Address Line4",
     "State" :"3.3.State",
    "City" :"3.3.City",
      "Country" :"3.3.Country"
      }
]
      },
      { "CustomerNumber": "10000000004",
        "DOB": "01/04/01",
        "Fname": "Fname4",
        "Mname": "Mname4",
        "Lname": "Lname4",
"address": [{
        "AddressType": "Home",
      "AddressLine1" :"4.1.Address Line1",
    "AddressLine2" :"4.1.Address Line2",
      "AddressLine3" :"4.1.Address Line3",
      "AddressLine4" :"4.1.Address Line4",
     "State" :"4.1.State",
    "City" :"4.1.City",
      "Country" :"4.1.Country"
      },
  {
        "AddressType": "Office",
      "AddressLine1" :"4.2.Address Line1",
    "AddressLine2" :"4.2.Address Line2",
      "AddressLine3" :"4.2.Address Line3",
      "AddressLine4" :"4.2.Address Line4",
     "State" :"4.2.State",
    "City" :"4.2.City",
      "Country" :"4.2.Country"
      },
            {
        "AddressType": "Office2",
      "AddressLine1" :"4.3.Address Line1",
    "AddressLine2" :"4.3.Address Line2",
      "AddressLine3" :"4.3.Address Line3",
      "AddressLine4" :"4.3.Address Line4",
     "State" :"4.3.State",
    "City" :"4.3.City",
      "Country" :"4.3.Country"
      },
            {
        "AddressType": "Others",
      "AddressLine1" :"4.4.Address Line1",
    "AddressLine2" :"4.4.Address Line2",
      "AddressLine3" :"4.4.Address Line3",
      "AddressLine4" :"4.4.Address Line4",
     "State" :"4.4.State",
    "City" :"4.4.City",
      "Country" :"4.4.Country"
      }
]
}]
}}

--------------------------------------------------------------

regards,
Rams

On Mon, Dec 24, 2012 at 9:15 PM, Jean-Marc Spaggiari <
jean-marc@spaggiari.org> wrote:

> Hi Rams,
>
> Even if a customer can have multiple addresses, you can still simply
> put them all on the same field...
>
> A ArrayList of address, converted in a JSon sting, in a single HBase
> cell will still do it.
>
> You can have them on separated cells if you think you will access them
> separatly. You can also have different columns identifiers for each
> type of address you can have.
>
> Like you have CF1 for all you fields, C=Infos for the customer info,
> C=PHY for Physical address, C=HOM for home address, C=OFF for office
> address, and so on?
>
> The idea is to reduce the CFs if not required, and really think about
> the way you access your data.
>
> If you access all the address at the same time, then simply put all of
> them on the same cell, on a Array of Address converted in String with
> JSon. So simple ;)
>
> JM
>
> 2012/12/24, Ramasubramanian <ramasubramanian.narayanan@gmail.com>:
> > Hi,
> >
> > Let me explain the scenario.
> >
> > For address of the customer we have designed 3 tables (in relational way)
> >
> > 1. Address link table
> >     Will have key columns like
> >       Address type - physical or email /fax/phone/URL/ etc.,
> >       Address category- (home/work)
> >       Primary address indicator
> >       Bad address indicator
> >       Etc.,
> > 2. Physical address
> >     This will contain the actual physical address. A customer can have n
> > Number of addresses.
> >    Fields :
> >        - address type (physical)
> >        - address category (home/work/etc.,)
> >         - address1
> >         - address 2
> >         .........
> > 3. Electronic address
> >     It will contain email/fax/phone/URL etc, and it's value
> >      Fields :
> >        - address type (email /fax/phone/URL/ etc.,)
> >        - address category (home/work/etc.,)
> >        - value ( actual value based on address type. Like actual phone
> > number)
> >
> >
> > Now in the above scenario, while designing in hbase, I am going to
> eliminate
> > link table and have those fields in both physical and electronic address.
> >
> > So both the tables has common fields like address type and address
> category.
> > Hence thought of having these two fields common for both the set of
> fields.
> > (In a single table)
> >
> > Regards,
> > Rams
> >
> > On 24-Dec-2012, at 6:45 PM, Mohammad Tariq <dontariq@gmail.com> wrote:
> >
> >> it is. but why do you want  to do that? you will run into issues once
> >> your
> >> data starts growing. each cell, along with the actual value stores few
> >> additional things, *row, column *and the *version. *as a result you will
> >> loose space if you do that.
> >>
> >> Best Regards,
> >> Tariq
> >> +91-9741563634
> >> https://mtariq.jux.com/
> >>
> >>
> >> On Mon, Dec 24, 2012 at 5:00 PM, Ramasubramanian Narayanan <
> >> ramasubramanian.narayanan@gmail.com> wrote:
> >>
> >>> Hi,
> >>>
> >>> Is it ok to have same column into different column familes?
> >>>
> >>> regards,
> >>> Rams
> >>>
> >>> On Mon, Dec 24, 2012 at 4:06 PM, Mohammad Tariq <dontariq@gmail.com>
> >>> wrote:
> >>>
> >>>> you are creating 2 different rows here. cf means how column are
> clubbed
> >>>> together as a single entity which is represented by that cf. but here
> >>>> you
> >>>> are creating 2 different rows having one cf each, CF1 and CF2
> >>> respectively.
> >>>> if you want to have 1 row with 2 cf, you have to do use same rowkey
> for
> >>>> both the cf.
> >>>>
> >>>>
> >>>>
> >>>> Best Regards,
> >>>> Tariq
> >>>> +91-9741563634
> >>>> https://mtariq.jux.com/
> >>>>
> >>>>
> >>>> On Mon, Dec 24, 2012 at 3:41 PM, Ramasubramanian Narayanan <
> >>>> ramasubramanian.narayanan@gmail.com> wrote:
> >>>>
> >>>>> Hi,
> >>>>>
> >>>>> *Table Name : Customer*
> >>>>> *
> >>>>> *
> >>>>> *Field Name         Column Family*
> >>>>> Customer Number      CF1
> >>>>> DOB                  CF1
> >>>>> FName                CF1
> >>>>> MName                CF1
> >>>>> LName                CF1
> >>>>> Address Type         CF2
> >>>>> Address Line1        CF2
> >>>>> Address Line2        CF2
> >>>>> Address Line3        CF2
> >>>>> Address Line4        CF2
> >>>>> State                CF2
> >>>>> City                 CF2
> >>>>> Country              CF2
> >>>>>
> >>>>> Is it good to have rowkey as follows for the same table?
> >>>>>
> >>>>> Rowkey Design:
> >>>>> --------------
> >>>>> For CF1 : Customer Number + YYYYMMD (business date)
> >>>>> For CF2 : Customer Number + Address Type
> >>>>>
> >>>>> Note :
> >>>>> Address Type can be any of HOME/OFFICE/OTHERS
> >>>>>
> >>>>> regards,
> >>>>> Rams
> >>>
> >
>

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