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From Mayank <4may...@gmail.com>
Subject Re: Secondary Indexes
Date Wed, 20 Mar 2013 16:27:08 GMT
Hi Aaron,

I did mean 1000 columns. But I see your point.
The current CF schema has user_id as the row key and unnamed column
order_num = order info as the col-val pair. The plan is to add named
columns order_attr1, order_attr2... order_attr18. When I query for user_id
= "user1" and order_attr1 = 1991 I want to get the order_num. Is this
possible without super columns? Can I make Cassandra link the order_num to
order_attr1 in any way?

An Example:
RowKey: user1
=> (column=Order100, value=Order100Info, timestamp=1363789981864000)
=> (column=Order101, value=Order101Info, timestamp=1363789985382000)
=> (column=Order102, value=Order102Info, timestamp=1363789990118000)
=> (column=OrderAttr1, value=1991, timestamp=1363790016318000)
=> (column=OrderAttr2, value=2015, timestamp=1363789936073000)
=> (column=OrderAttr3, value=4090, timestamp=1363789946805000)

Thanks.



On Tue, Mar 19, 2013 at 11:34 PM, aaron morton <aaron@thelastpickle.com>wrote:

> > Assuming we have 1000 columns in 1 row of the column family and about
> 900 of them have
> >
> > NamedColumn1=1 and of those 900 only 10 of them also have NamedColumn2=1.
> Am assuming you mean 1,000 rows not columns.
>
> > does Cassandra
> > optimized this in any way by fetching only the 10 versus the 900 and then
> >
> > filtering out the 10 I really need?
> The most selective term is used first. All the rows that match that term
> are read (in batches) and then filtered.
>
> >   How does this affect the internal index column
> > family and how often will it get compacted?
> It is compacted when it needs it, not when the parent CF is compacted.
>
> > About expirations: if the column in the user defined column family
> expires can I
> > safely assume that its related indexes will also expire?
> Yes
>
> >
> > http://www.datastax.com/docs/1.1/ddl/indexes
> > Maintaining Secondary Indexes
> Emailed to ask for clarification.
>
> Cheers
>
>
> -----------------
> Aaron Morton
> Freelance Cassandra Consultant
> New Zealand
>
> @aaronmorton
> http://www.thelastpickle.com
>
> On 20/03/2013, at 5:08 AM, Mayank <4mayank@gmail.com> wrote:
>
> > Thanks guys. I am working with Andy on this project.
> >
> > Further questions on the secondary indexes:
> > Assuming we have 1000 columns in 1 row of the column family and about
> 900 of them have
> >
> > NamedColumn1=1 and of those 900 only 10 of them also have
> NamedColumn2=1. If I
> >
> > query for columns which have NamedColumn1=1 && NamedColumn2=1 does
> Cassandra
> > optimized this in any way by fetching only the 10 versus the 900 and then
> >
> > filtering out the 10 I really need?
> >
> >
> > We ran some tests that show if only 10 of the 18 NamedColumns were
> inserted only
> > those 10 internal index column families are updated. In this case the
> size of the
> >
> > user defined column families and the internal index column families will
> differ. It
> >
> > is then expected that the user defined column family will get compacted
> more often
> > and tombstones removed more often. How does this affect the internal
> index column
> >
> > family and how often will it get compacted?
> >
> >
> > About expirations: if the column in the user defined column family
> expires can I
> > safely assume that its related indexes will also expire?
> >
> >
> > Here is the link that talks about the rebuild:
> >
> > http://www.datastax.com/docs/1.1/ddl/indexes
> > Maintaining Secondary Indexes
> >
> > When a node starts up, Cassandra rebuilds the secondary index of the
> stored rows. To perform a hot rebuild of a secondary index, use the
> nodetool utility rebuild_index command.
> >
> >
> > We'll look further into Solr but at the moment it may not fit our
> need/schedule.
> >
> > > - Will that result in Cassandra creating 18 new column families,
> > > one for each index?
> > Inserts will be slower, as each insert will potentially result in 18
> additional
> > inserts. This is just the same as a RDBMS, more indexes == more insert
> work.
> >
> > > - If a given column is not specified in any rows, will Cassandra
> > > still create an index column family?
> > Yes
> >
> > > - The documentation says that indexes are rebuilt with every
> > > Cassandra restart. Why is that needed? What does the rebuild do? Does
> it
> > > read the whole column family into memory at once?
> > That is not correct, do you have a link for the docs ?
> >
> > As Moshe said, standard cassandra i not a great fit for faceting.
> Consider Solr
> > or Data Stax
> > http://3.datastax.com/datastax-enterprise.php
> >
> >
> > Cheers
> >
> > -----------------
> > Aaron Morton
> > Freelance Cassandra Consultant
> > New Zealand
> >
> > @aaronmorton
> >
> > http://www.thelastpickle.com
> >
> >
> > On 17/03/2013, at 10:17 PM,
> > moshe.kr...@barclays.com
> >  wrote:
> >
> > > I do not think this is a good use case for Cassandra alone, assuming
> the
> > > queries can be any combination of the 18 columns.
> > > I would consider using some combination of Cassandra and Solr, where
> Solr
> > > provides the indexing/search, and Cassandra provides the bulk store.
> > >
> > > From: Andy Stec [
> > mailto:andys...@gmail.com
> > ]
> > > Sent: Saturday, March 16, 2013 12:10 AM
> > > To:
> > user@cassandra.apache.org
> >
> > > Subject: Secondary Indexes
> > >
> > > We need to provide search capability based on a field that is a bitmap
> > > combination of 18 possible values. We want to use secondary indexes to
> > > improve performance. One possible solution is to create a named column
> for
> > > each value and have a secondary index for each of the 18 columns.
> > > Questions we have are:
> > >
> > >
> > > - Will that result in Cassandra creating 18 new column families,
> > > one for each index?
> > >
> > > - If a given column is not specified in any rows, will Cassandra
> > > still create an index column family?
> > >
> > > - The documentation says that indexes are rebuilt with every
> > > Cassandra restart. Why is that needed? What does the rebuild do? Does
> it
> > > read the whole column family into memory at once?
> > >
> > >
> > >
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