Why the guarantee is estimated August?

I bought the iPhone certified re-machined 6 but check tells me that the estimated expiration date: 7 August 2016. It seems that it has been used, but I bought it via seller confidence in Europe and in this device. I do not have unboxed it yet so I can't activate or check more info.

When you say a 'trusted seller' which is an Apple reseller or not?

Tags: iPhone

Similar Questions

  • Satellite A660 - Tempro alerts and the status of the guarantee

    I have a laptop Toshiba Satellite A660. Windows 7 64-bit.
    First Tempro worked but I have not had an update since October 6 and my warranty status now says
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    Think this should happen when Tempro advised me on a Tempro itsself update: update around 6 October?
    I registered my guarantee that some moths back, I can not re - save that I am already registered, I can confirm that my warranty is until August 2011 on the toshiba support site.
    I can browse and then install updates from toshiba but not by Tempro. Infact today I downloaded Tempro 3.3.4 and installed.
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    Under condition of the guarantee: guarantee offers, help and register buttons all work, but clicking on the button "Refresh" seems to do nothing. If I disconnect my internet and press "update" button there is no percievable difference?

    I'm sure theres no firewall problem, but put exceptions in TemproSvc.exe and TemproTray.exe to be sure.

    I know that Toshiba say wait 5 days for the warranty to show registered but surely that does not mention when you click on the update button, but since time of your registration?
    Which for me was long August/September.

    Hey Buddy,

    Where to check the details of the warranty for your laptop?
    For European laptops, you can check the warranty here: http://www.toshiba-tro.de/unitdetails

    If it s are not correct, you should ask a service provider authorized in your country or contact Toshiba people under [email protected] and explain your situation.

    Good luck! :)

  • Is rooting my Lenovo A5000, empty, that's the guarantee?

    If I root my Lenovo A5000, is this vacuum manufacturer Warranaty or I'm good to go? As romaric offers root (no cancellation of the guarantee). So if I have Root, rooting is going to cancel my phone warranty or not...?

    Here are 10 reasons why don't not to root your phone from Lenovo: link

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  • Effect on the guarantee after the migration from one country to another

    Hello guys! I move the India to the Canada this year and my laptop warranty will end in August 2017. I get the same benefits of the guarantee to the Canada or what I need to buy an international warranty?

    Hey @abhaybhanot,

    Thank you for visiting the HP Forums!  You have come to the right place to ask questions, find solutions and get help from others in the community!

    Here is something that might help.

    Please let me know how it goes.

    If you want to say thanks for my effort to help, click on thumbs upward to give me a Kudos.

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  • update the status of the guarantee

    I bought a new Dell laptop inspiron-17-5749 with serial number (6287008140578) of the Extra store / Saudi Arabia with receipt number (001050073414) dated 14/11/2015.

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    I recorded my laptop at dell.com two months ago and the status of the guarantee was not updated.

    Hi ihabahmeddell,

    Thanks for posting.

    I apologize for the confusion over your warranty service contract.  Unfortunately, I do not have the opportunity to see orders outside the United States, then I won't be able to watch whatever it is for you.  You will need to contact the customer in your country to find the answers to your questions.  As long as your registration has been approved, there should not be a problem.  Sometimes the Web site can take a while to update, this is why you might not be able to see it immediately.  A call to the customer can confirm the warranty you may have.

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  • Why the optimizer ignores Index Fast full Scan when much lower cost?

    Summary (tracking details below) - to improve the performance of a query on more than one table, I created an index on a table that included all the columns referenced in the query. With the new index in place the optimizer is still choosing a full Table Scan on an Index fast full scan. However, by removing the one query tables I reach the point where the optimizer suddenly use the Index Fast Full Scan on this table. And 'Yes', it's a lot cheaper than the full Table Scan it used before. By getting a test case, I was able to get the motion down to 4 tables with the optimizer still ignoring the index and table of 3, it will use the index.

    So why the optimizer not chooses the Index Fast Full Scan, if it is obvious that it is so much cheaper than a full Table Scan? And why the deletion of a table changes how the optimizer - I don't think that there is a problem with the number of join permutations (see below). The application is so simple that I can do, while remaining true to the original SQL application, and it still shows this reversal in the choice of access path. I can run the queries one after another, and he always uses a full Table Scan for the original query and Index fast full scan for the query that is modified with a table less.

    Watching trace 10053 output for the two motions, I can see that for the original query 4 table costs alone way of ACCESS of TABLE UNIQUE section a full Table Scan. But for the modified query with a table less, the table now has a cost for an Index fast full scan also. And the end of the join cost 10053 does not end with a message about exceeding the maximum number of permutations. So why the optimizer does not cost the IFFS for the first query, when it does for the second, nearly identical query?

    This is potentially a problem to do with OUTER joins, but why? The joins between the tables do not change when the single extra table is deleted.

    It's on 10.2.0.5 on Linux (Oracle Enterprise Linux). I did not define special settings I know. I see the same behavior on 10.2.0.4 32-bit on Windows (XP).

    Thank you
    John
    Blog of database Performance

    DETAILS
    I've reproduced the entire scenario via SQL scripts to create and populate the tables against which I can then run the queries. I've deliberately padded table so that the length of the average line of data generated is similar to that of the actual data. In this way the statistics should be similar on the number of blocks and so forth.

    System - uname - a
    Linux mysystem.localdomain 2.6.32-300.25.1.el5uek #1 SMP Tue May 15 19:55:52 EDT 2012 i686 i686 i386 GNU/Linux
    Database - v$ version
    Oracle Database 10g Enterprise Edition Release 10.2.0.5.0 - Prod
    PL/SQL Release 10.2.0.5.0 - Production
    CORE    10.2.0.5.0      Production
    TNS for Linux: Version 10.2.0.5.0 - Production
    NLSRTL Version 10.2.0.5.0 - Production
    Original query (complete table below details):
    SELECT 
        episode.episode_id , episode.cross_ref_id , episode.date_required , 
        product.number_required , 
        request.site_id 
    FROM episode 
    LEFT JOIN REQUEST on episode.cross_ref_id = request.cross_ref_id 
         JOIN product ON episode.episode_id = product.episode_id 
    LEFT JOIN product_sub_type ON product.prod_sub_type_id = product_sub_type.prod_sub_type_id 
    WHERE (
            episode.department_id = 2
        and product.status = 'I'
          ) 
    ORDER BY episode.date_required
    ;
    Execution of display_cursor after the execution plan:
    SQL_ID  5ckbvabcmqzw7, child number 0
    -------------------------------------
    SELECT     episode.episode_id , episode.cross_ref_id , episode.date_required ,
    product.number_required ,     request.site_id FROM episode LEFT JOIN REQUEST on
    episode.cross_ref_id = request.cross_ref_id      JOIN product ON episode.episode_id =
    product.episode_id LEFT JOIN product_sub_type ON product.prod_sub_type_id =
    product_sub_type.prod_sub_type_id WHERE (         episode.department_id = 2 and
    product.status = 'I'       ) ORDER BY episode.date_required
    
    Plan hash value: 3976293091
    
    -----------------------------------------------------------------------------------------------------
    | Id  | Operation             | Name                | Rows  | Bytes |TempSpc| Cost (%CPU)| Time     |
    -----------------------------------------------------------------------------------------------------
    |   0 | SELECT STATEMENT      |                     |       |       |       | 35357 (100)|          |
    |   1 |  SORT ORDER BY        |                     | 33333 |  1920K|  2232K| 35357   (1)| 00:07:05 |
    |   2 |   NESTED LOOPS OUTER  |                     | 33333 |  1920K|       | 34879   (1)| 00:06:59 |
    |*  3 |    HASH JOIN OUTER    |                     | 33333 |  1822K|  1728K| 34878   (1)| 00:06:59 |
    |*  4 |     HASH JOIN         |                     | 33333 |  1334K|       |   894   (1)| 00:00:11 |
    |*  5 |      TABLE ACCESS FULL| PRODUCT             | 33333 |   423K|       |   103   (1)| 00:00:02 |
    |*  6 |      TABLE ACCESS FULL| EPISODE             |   299K|  8198K|       |   788   (1)| 00:00:10 |
    |   7 |     TABLE ACCESS FULL | REQUEST             |  3989K|    57M|       | 28772   (1)| 00:05:46 |
    |*  8 |    INDEX UNIQUE SCAN  | PK_PRODUCT_SUB_TYPE |     1 |     3 |       |  0   (0)|          |
    -----------------------------------------------------------------------------------------------------
    
    Predicate Information (identified by operation id):
    ---------------------------------------------------
       3 - access("EPISODE"."CROSS_REF_ID"="REQUEST"."CROSS_REF_ID")
       4 - access("EPISODE"."EPISODE_ID"="PRODUCT"."EPISODE_ID")
       5 - filter("PRODUCT"."STATUS"='I')
       6 - filter("EPISODE"."DEPARTMENT_ID"=2)
       8 - access("PRODUCT"."PROD_SUB_TYPE_ID"="PRODUCT_SUB_TYPE"."PROD_SUB_TYPE_ID")
    Updated the Query:
    SELECT 
        episode.episode_id , episode.cross_ref_id , episode.date_required , 
        product.number_required , 
        request.site_id 
    FROM episode 
    LEFT JOIN REQUEST on episode.cross_ref_id = request.cross_ref_id 
         JOIN product ON episode.episode_id = product.episode_id 
    WHERE (
            episode.department_id = 2
        and product.status = 'I'
          ) 
    ORDER BY episode.date_required
    ;
    Execution of display_cursor after the execution plan:
    SQL_ID  gbs74rgupupxz, child number 0
    -------------------------------------
    SELECT     episode.episode_id , episode.cross_ref_id , episode.date_required ,
    product.number_required ,     request.site_id FROM episode LEFT JOIN REQUEST on
    episode.cross_ref_id = request.cross_ref_id      JOIN product ON episode.episode_id =
    product.episode_id WHERE (         episode.department_id = 2     and product.status =
    'I'       ) ORDER BY episode.date_required
    
    Plan hash value: 4250628916
    
    ----------------------------------------------------------------------------------------------
    | Id  | Operation              | Name        | Rows  | Bytes |TempSpc| Cost (%CPU)| Time     |
    ----------------------------------------------------------------------------------------------
    |   0 | SELECT STATEMENT       |             |       |       |       | 10515 (100)|          |
    |   1 |  SORT ORDER BY         |             | 33333 |  1725K|  2112K| 10515   (1)| 00:02:07 |
    |*  2 |   HASH JOIN OUTER      |             | 33333 |  1725K|  1632K| 10077   (1)| 00:02:01 |
    |*  3 |    HASH JOIN           |             | 33333 |  1236K|       |   894   (1)| 00:00:11 |
    |*  4 |     TABLE ACCESS FULL  | PRODUCT     | 33333 |   325K|       |   103   (1)| 00:00:02 |
    |*  5 |     TABLE ACCESS FULL  | EPISODE     |   299K|  8198K|       |   788   (1)| 00:00:10 |
    |   6 |    INDEX FAST FULL SCAN| IX4_REQUEST |  3989K|    57M|       |  3976   (1)| 00:00:48 |
    ----------------------------------------------------------------------------------------------
    
    Predicate Information (identified by operation id):
    ---------------------------------------------------
       2 - access("EPISODE"."CROSS_REF_ID"="REQUEST"."CROSS_REF_ID")
       3 - access("EPISODE"."EPISODE_ID"="PRODUCT"."EPISODE_ID")
       4 - filter("PRODUCT"."STATUS"='I')
       5 - filter("EPISODE"."DEPARTMENT_ID"=2)
    Creating the table and Population:
    1 create tables
    2. load data
    3 create indexes
    4. collection of statistics
    --
    -- Main table
    --
    create table episode (
    episode_id number (*,0),
    department_id number (*,0),
    date_required date,
    cross_ref_id varchar2 (11),
    padding varchar2 (80),
    constraint pk_episode primary key (episode_id)
    ) ;
    --
    -- Product tables
    --
    create table product_type (
    prod_type_id number (*,0),
    code varchar2 (10),
    binary_field number (*,0),
    padding varchar2 (80),
    constraint pk_product_type primary key (prod_type_id)
    ) ;
    --
    create table product_sub_type (
    prod_sub_type_id number (*,0),
    sub_type_name varchar2 (20),
    units varchar2 (20),
    padding varchar2 (80),
    constraint pk_product_sub_type primary key (prod_sub_type_id)
    ) ;
    --
    create table product (
    product_id number (*,0),
    prod_type_id number (*,0),
    prod_sub_type_id number (*,0),
    episode_id number (*,0),
    status varchar2 (1),
    number_required number (*,0),
    padding varchar2 (80),
    constraint pk_product primary key (product_id),
    constraint nn_product_episode check (episode_id is not null) 
    ) ;
    alter table product add constraint fk_product 
    foreign key (episode_id) references episode (episode_id) ;
    alter table product add constraint fk_product_type 
    foreign key (prod_type_id) references product_type (prod_type_id) ;
    alter table product add constraint fk_prod_sub_type
    foreign key (prod_sub_type_id) references product_sub_type (prod_sub_type_id) ;
    --
    -- Requests
    --
    create table request (
    request_id number (*,0),
    department_id number (*,0),
    site_id number (*,0),
    cross_ref_id varchar2 (11),
    padding varchar2 (80),
    padding2 varchar2 (80),
    constraint pk_request primary key (request_id),
    constraint nn_request_department check (department_id is not null),
    constraint nn_request_site_id check (site_id is not null)
    ) ;
    --
    -- Activity & Users
    --
    create table activity (
    activity_id number (*,0),
    user_id number (*,0),
    episode_id number (*,0),
    request_id number (*,0), -- always NULL!
    padding varchar2 (80),
    constraint pk_activity primary key (activity_id)
    ) ;
    alter table activity add constraint fk_activity_episode
    foreign key (episode_id) references episode (episode_id) ;
    alter table activity add constraint fk_activity_request
    foreign key (request_id) references request (request_id) ;
    --
    create table app_users (
    user_id number (*,0),
    user_name varchar2 (20),
    start_date date,
    padding varchar2 (80),
    constraint pk_users primary key (user_id)
    ) ;
    
    prompt Loading episode ...
    --
    insert into episode
    with generator as 
    (select rownum r
              from (select rownum r from dual connect by rownum <= 1000) a,
                   (select rownum r from dual connect by rownum <= 1000) b,
                   (select rownum r from dual connect by rownum <= 1000) c
             where rownum <= 1000000
           ) 
    select r, 2,
        sysdate + mod (r, 14),
        to_char (r, '0000000000'),
        'ABCDEFGHIJKLMNOPQRSTUVWXYZ' || to_char (r, '000000')
      from generator g
    where g.r <= 300000
    /
    commit ;
    --
    prompt Loading product_type ...
    --
    insert into product_type
    with generator as 
    (select rownum r
              from (select rownum r from dual connect by rownum <= 1000) a,
                   (select rownum r from dual connect by rownum <= 1000) b,
                   (select rownum r from dual connect by rownum <= 1000) c
             where rownum <= 1000000
           ) 
    select r, 
           to_char (r, '000000000'),
           mod (r, 2),
           'ABCDEFGHIJKLMNOPQRST' || to_char (r, '000000')
      from generator g
    where g.r <= 12
    /
    commit ;
    --
    prompt Loading product_sub_type ...
    --
    insert into product_sub_type
    with generator as 
    (select rownum r
              from (select rownum r from dual connect by rownum <= 1000) a,
                   (select rownum r from dual connect by rownum <= 1000) b,
                   (select rownum r from dual connect by rownum <= 1000) c
             where rownum <= 1000000
           ) 
    select r, 
           to_char (r, '000000'),
           to_char (mod (r, 3), '000000'),
           'ABCDE' || to_char (r, '000000')
      from generator g
    where g.r <= 15
    /
    commit ;
    --
    prompt Loading product ...
    --
    -- product_id prod_type_id prod_sub_type_id episode_id padding 
    insert into product
    with generator as 
    (select rownum r
              from (select rownum r from dual connect by rownum <= 1000) a,
                   (select rownum r from dual connect by rownum <= 1000) b,
                   (select rownum r from dual connect by rownum <= 1000) c
             where rownum <= 1000000
           ) 
    select r, mod (r, 12) + 1, mod (r, 15) + 1, mod (r, 300000) + 1,
           decode (mod (r, 3), 0, 'I', 1, 'C', 2, 'X', 'U'),
           dbms_random.value (1, 100), NULL
      from generator g
    where g.r <= 100000
    /
    commit ;
    --
    prompt Loading request ...
    --
    -- request_id department_id site_id cross_ref_id varchar2 (11) padding 
    insert into request
    with generator as 
    (select rownum r
              from (select rownum r from dual connect by rownum <= 1000) a,
                   (select rownum r from dual connect by rownum <= 1000) b,
                   (select rownum r from dual connect by rownum <= 1000) c
             where rownum <= 10000000
           ) 
    select r, mod (r, 4) + 1, 1, to_char (r, '0000000000'),
    'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz01234567890123456789' || to_char (r, '000000'),
    'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789012345678' || to_char (r, '000000')
      from generator g
    where g.r <= 4000000
    /
    commit ;
    --
    prompt Loading activity ...
    --
    -- activity activity_id user_id episode_id request_id (NULL) padding 
    insert into activity
    with generator as 
    (select rownum r
              from (select rownum r from dual connect by rownum <= 1000) a,
                   (select rownum r from dual connect by rownum <= 1000) b,
                   (select rownum r from dual connect by rownum <= 1000) c
             where rownum <= 10000000
           ) 
    select r, mod (r, 50) + 1, mod (r, 300000) + 1, NULL, NULL
      from generator g
    where g.r <= 100000
    /
    commit ;
    --
    prompt Loading app_users ...
    --
    -- app_users user_id user_name start_date padding 
    insert into app_users
    with generator as 
    (select rownum r
              from (select rownum r from dual connect by rownum <= 1000) a,
                   (select rownum r from dual connect by rownum <= 1000) b,
                   (select rownum r from dual connect by rownum <= 1000) c
             where rownum <= 10000000
           ) 
    select r, 
           'User_' || to_char (r, '000000'),
           sysdate - mod (r, 30),
           'ABCDEFGHIJKLMNOPQRSTUVWXYZ' || to_char (r, '000000')
      from generator g
    where g.r <= 1000
    /
    commit ;
    --
    
    prompt Episode (1)
    create index ix1_episode_cross_ref on episode (cross_ref_id) ;
    --
    prompt Product (2)
    create index ix1_product_episode on product (episode_id) ;
    create index ix2_product_type on product (prod_type_id) ;
    --
    prompt Request (4)
    create index ix1_request_site on request (site_id) ;
    create index ix2_request_dept on request (department_id) ;
    create index ix3_request_cross_ref on request (cross_ref_id) ;
    -- The extra index on the referenced columns!!
    create index ix4_request on request (cross_ref_id, site_id) ;
    --
    prompt Activity (2)
    create index ix1_activity_episode on activity (episode_id) ;
    create index ix2_activity_request on activity (request_id) ;
    --
    prompt Users (1)
    create unique index ix1_users_name on app_users (user_name) ;
    --
    prompt Gather statistics on schema ...
    --
    exec dbms_stats.gather_schema_stats ('JB')
    10053 sections - original query
    ***************************************
    SINGLE TABLE ACCESS PATH
      -----------------------------------------
      BEGIN Single Table Cardinality Estimation
      -----------------------------------------
      Table: REQUEST  Alias: REQUEST
        Card: Original: 3994236  Rounded: 3994236  Computed: 3994236.00  Non Adjusted: 3994236.00
      -----------------------------------------
      END   Single Table Cardinality Estimation
      -----------------------------------------
      Access Path: TableScan
        Cost:  28806.24  Resp: 28806.24  Degree: 0
          Cost_io: 28738.00  Cost_cpu: 1594402830
          Resp_io: 28738.00  Resp_cpu: 1594402830
    ******** Begin index join costing ********
      ****** trying bitmap/domain indexes ******
      Access Path: index (FullScan)
        Index: PK_REQUEST
        resc_io: 7865.00  resc_cpu: 855378926
        ix_sel: 1  ix_sel_with_filters: 1
        Cost: 7901.61  Resp: 7901.61  Degree: 0
      Access Path: index (FullScan)
        Index: PK_REQUEST
        resc_io: 7865.00  resc_cpu: 855378926
        ix_sel: 1  ix_sel_with_filters: 1
        Cost: 7901.61  Resp: 7901.61  Degree: 0
      ****** finished trying bitmap/domain indexes ******
    ******** End index join costing ********
      Best:: AccessPath: TableScan
             Cost: 28806.24  Degree: 1  Resp: 28806.24  Card: 3994236.00  Bytes: 0
    ***************************************
    10053 - updated the Query
    ***************************************
    SINGLE TABLE ACCESS PATH
      -----------------------------------------
      BEGIN Single Table Cardinality Estimation
      -----------------------------------------
      Table: REQUEST  Alias: REQUEST
        Card: Original: 3994236  Rounded: 3994236  Computed: 3994236.00  Non Adjusted: 3994236.00
      -----------------------------------------
      END   Single Table Cardinality Estimation
      -----------------------------------------
      Access Path: TableScan
        Cost:  28806.24  Resp: 28806.24  Degree: 0
          Cost_io: 28738.00  Cost_cpu: 1594402830
          Resp_io: 28738.00  Resp_cpu: 1594402830
      Access Path: index (index (FFS))
        Index: IX4_REQUEST
        resc_io: 3927.00  resc_cpu: 583211030
        ix_sel: 0.0000e+00  ix_sel_with_filters: 1
      Access Path: index (FFS)
        Cost:  3951.96  Resp: 3951.96  Degree: 1
          Cost_io: 3927.00  Cost_cpu: 583211030
          Resp_io: 3927.00  Resp_cpu: 583211030
      Access Path: index (FullScan)
        Index: IX4_REQUEST
        resc_io: 14495.00  resc_cpu: 903225273
        ix_sel: 1  ix_sel_with_filters: 1
        Cost: 14533.66  Resp: 14533.66  Degree: 1
    ******** Begin index join costing ********
      ****** trying bitmap/domain indexes ******
      Access Path: index (FullScan)
        Index: IX4_REQUEST
        resc_io: 14495.00  resc_cpu: 903225273
        ix_sel: 1  ix_sel_with_filters: 1
        Cost: 14533.66  Resp: 14533.66  Degree: 0
      Access Path: index (FullScan)
        Index: IX4_REQUEST
        resc_io: 14495.00  resc_cpu: 903225273
        ix_sel: 1  ix_sel_with_filters: 1
        Cost: 14533.66  Resp: 14533.66  Degree: 0
      ****** finished trying bitmap/domain indexes ******
    ******** End index join costing ********
      Best:: AccessPath: IndexFFS  Index: IX4_REQUEST
             Cost: 3951.96  Degree: 1  Resp: 3951.96  Card: 3994236.00  Bytes: 0
    ***************************************

    I mentioned that it is a bug related to the ANSI SQL standard and transformation probably.

    As suggested/asked in my first reply:
    1. If you use a no_query_transformation then you should find that you get the use of the index (although not in the plan you would expect)
    2. If you use the traditional Oracle syntax, then you should not have the same problem.

  • Why the statistics do not reflect the actual schema data?

    Why the statistics do not reflect the actual schema data?
    SQL> select count(1) from user_segments;
    
      COUNT(1)
    ----------
            61
    
    SQL> drop table employee1;
    
    Table dropped.
    
    SQL> truncate table employee2;
    
    Table truncated.
    SQL> exec dbms_stats.gather_schema_stats('SPT',cascade=>TRUE);
    
    PL/SQL procedure successfully completed.
    
    
    SQL> select count(1) from user_segments;
    
      COUNT(1)
    ----------
            61
    Published by: qkc on August 16, 2009 08:39

    Assuming you're from 10 g, have you considered recyclebin?

    TEST@db102 > select count(1) from user_segments;
    
      COUNT(1)
    ----------
           161
    
    TEST@db102 > drop table test;
    
    Table dropped.
    
    TEST@db102 > select count(1) from user_segments;
    
      COUNT(1)
    ----------
           161
    
    TEST@db102 > purge recyclebin;
    
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    ----------
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