You'd be better off using external indexing (ElasticSearch or Solr),
Cassandra isn't really designed for this sort of querying.
On Jun 24, 2014 3:09 AM, "Mike Carter" <jaloos...@gmail.com> wrote:

> Hello!
>
>
> I'm a beginner in C* and I'm quite struggling with it.
>
> I’d like to measure the performance of some Cassandra-Range-Queries. The
> idea is to execute multidimensional range-queries on Cassandra. E.g. there
> is a given table of 1million rows with 10 columns and I like to execute
> some queries like “select count(*) from testable where d=1 and v1<10 and v2
> >20 and v3 <45 and v4>70 … allow filtering”.  This kind of queries is very
> slow in C* and soon the tables are bigger, I get a read-timeout probably
> caused by long scan operations.
>
> In further tests I like to extend the dimensions to more than 200 hundreds
> and the rows to 100millions, but actually I can’t handle this small table.
> Should reorganize the data or is it impossible to perform such high
> multi-dimensional queries on Cassandra?
>
>
>
>
>
> The setup:
>
> Cassandra is installed on a single node with 2 TB disk space and 180GB Ram.
>
> Connected to Test Cluster at localhost:9160.
>
> [cqlsh 4.1.1 | Cassandra 2.0.7 | CQL spec 3.1.1 | Thrift protocol 19.39.0]
>
>
>
> Keyspace:
>
> CREATE KEYSPACE test WITH replication = {
>
>   'class': 'SimpleStrategy',
>
>   'replication_factor': '1'
>
> };
>
>
>
>
>
> Table:
>
> CREATE TABLE testc21 (
>
>   key int,
>
>   d int,
>
>   v1 int,
>
>   v10 int,
>
>   v2 int,
>
>   v3 int,
>
>   v4 int,
>
>   v5 int,
>
>   v6 int,
>
>   v7 int,
>
>   v8 int,
>
>   v9 int,
>
>   PRIMARY KEY (key)
>
> ) WITH
>
>   bloom_filter_fp_chance=0.010000 AND
>
>   caching='ROWS_ONLY' AND
>
>   comment='' AND
>
>   dclocal_read_repair_chance=0.000000 AND
>
>   gc_grace_seconds=864000 AND
>
>   index_interval=128 AND
>
>   read_repair_chance=0.100000 AND
>
>   replicate_on_write='true' AND
>
>   populate_io_cache_on_flush='false' AND
>
>   default_time_to_live=0 AND
>
>   speculative_retry='99.0PERCENTILE' AND
>
>   memtable_flush_period_in_ms=0 AND
>
>   compaction={'class': 'SizeTieredCompactionStrategy'} AND
>
>   compression={'sstable_compression': 'LZ4Compressor'};
>
>
>
> CREATE INDEX testc21_d_idx ON testc21 (d);
>
>
>
>  select * from testc21 limit 10;
>
> key    | d | v1 | v10 | v2 | v3 | v4  | v5 | v6 | v7 | v8 | v9
>
> --------+---+----+-----+----+----+-----+----+----+----+----+-----
>
>  302602 | 1 | 56 |  55 | 26 | 45 |  67 | 75 | 25 | 50 | 26 |  54
>
>  531141 | 1 | 90 |  77 | 86 | 42 |  76 | 91 | 47 | 31 | 77 |  27
>
>  693077 | 1 | 67 |  71 | 14 | 59 | 100 | 90 | 11 | 15 |  6 |  19
>
>    4317 | 1 | 70 |  77 | 44 | 77 |  41 | 68 | 33 |  0 | 99 |  14
>
>  927961 | 1 | 15 |  97 | 95 | 80 |  35 | 36 | 45 |  8 | 11 | 100
>
>  313395 | 1 | 68 |  62 | 56 | 85 |  14 | 96 | 43 |  6 | 32 |   7
>
>  368168 | 1 |  3 |  63 | 55 | 32 |  18 | 95 | 67 | 78 | 83 |  52
>
>  671830 | 1 | 14 |  29 | 28 | 17 |  42 | 42 |  4 |  6 | 61 |  93
>
>   62693 | 1 | 26 |  48 | 15 | 22 |  73 | 94 | 86 |  4 | 66 |  63
>
>  488360 | 1 |  8 |  57 | 86 | 31 |  51 |  9 | 40 | 52 | 91 |  45
>
> Mike
>

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