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Hive >> mail # user >> Reflect MySQL updates into Hive


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Re: Reflect MySQL updates into Hive
Have a look at Beeswax.

BTW, do you have access to Google at your station?Same question on the Pig
mailing list as well, that too twice.

Best Regards,
Tariq
+91-9741563634
https://mtariq.jux.com/
On Tue, Dec 25, 2012 at 11:20 AM, Kshiva Kps <[EMAIL PROTECTED]> wrote:

> Hi,
>
> Is there any Hive editors and where we can write 100 to 150 Hive scripts
> I'm believing is not essay  to  do in CLI mode all scripts .
> Like IDE for JAVA /TOAD for SQL pls advice , many thanks
>
>
> Thanks
>
> On Mon, Dec 24, 2012 at 8:21 PM, Dean Wampler <
> [EMAIL PROTECTED]> wrote:
>
>> This is not as hard as it sounds. The hardest part is setting up the
>> incremental query against your MySQL database. Then you can write the
>> results to new files in the HDFS directory for the table and Hive will see
>> them immediately. Yes, even though Hive doesn't support updates, it doesn't
>> care how many files are in the directory. The trick is to avoid lots of
>> little files.
>>
>> As others have suggested, you should consider partitioning the data,
>> perhaps by time. Say you import about a few HDFS blocks-worth of data each
>> day, then use year/month/day partitioning to speed up your Hive queries.
>> You'll need to add the partitions to the table as you go, but actually, you
>> can add those once a month, for example, for all partitions. Hive doesn't
>> care if the partition directories don't exist yet or the directories are
>> empty. I also recommend using an external table, which gives you more
>> flexibility on directory layout, etc.
>>
>> Sqoop might be the easiest tool for importing the data, as it will even
>> generate a Hive table schema from the original MySQL table. However, that
>> feature may not be useful in this case, as you already have the table.
>>
>> I think Oozie is horribly complex to use and overkill for this purpose. A
>> simple bash script triggered periodically by cron is all you need. If you
>> aren't using a partitioned table, you have a single sqoop command to run.
>> If you have partitioned data, you'll also need a hive statement in the
>> script to create the partition, unless you do those in batch once a month,
>> etc., etc.
>>
>> Hope this helps,
>> dean
>>
>> On Mon, Dec 24, 2012 at 7:08 AM, Ibrahim Yakti <[EMAIL PROTECTED]> wrote:
>>
>>> Hi All,
>>>
>>> We are new to hadoop and hive, we are trying to use hive to
>>> run analytical queries and we are using sqoop to import data into hive, in
>>> our RDBMS the data updated very frequently and this needs to be reflected
>>> to hive. Hive does not support update/delete but there are many workarounds
>>> to do this task.
>>>
>>> What's in our mind is importing all the tables into hive as is, then we
>>> build the required tables for reporting.
>>>
>>> My questions are:
>>>
>>>    1. What is the best way to reflect MySQL updates into Hive with
>>>    minimal resources?
>>>    2. Is sqoop the right tool to do the ETL?
>>>    3. Is Hive the right tool to do this kind of queries or we should
>>>    search for alternatives?
>>>
>>> Any hint will be useful, thanks in advanced.
>>>
>>> --
>>> Ibrahim
>>>
>>
>>
>>
>> --
>> *Dean Wampler, Ph.D.*
>> thinkbiganalytics.com
>> +1-312-339-1330
>>
>>
>
NEW: Monitor These Apps!
elasticsearch, apache solr, apache hbase, hadoop, redis, casssandra, amazon cloudwatch, mysql, memcached, apache kafka, apache zookeeper, apache storm, ubuntu, centOS, red hat, debian, puppet labs, java, senseiDB