Also, two control questions:
- Are you using EBS for data storage? It might introduce additional
latencies.
- Are you doing proper paging when querying the keyspace?
Cheers,
Jens
On Mon, Mar 23, 2015 at 5:56 AM, Dave Galbraith <david92galbra...@gmail.com>
wrote:
> Hi! So I've got a table like this:
>
> CREATE TABLE "default".metrics (row_time int,attrs varchar,offset
> int,value double, PRIMARY KEY(row_time, attrs, offset)) WITH COMPACT
> STORAGE AND bloom_filter_fp_chance=0.01 AND caching='KEYS_ONLY' AND
> comment='' AND dclocal_read_repair_chance=0 AND gc_grace_seconds=864000 AND
> index_interval=128 AND read_repair_chance=1 AND replicate_on_write='true'
> AND populate_io_cache_on_flush='false' AND default_time_to_live=0 AND
> speculative_retry='NONE' AND memtable_flush_period_in_ms=0 AND
> compaction={'class':'DateTieredCompactionStrategy','timestamp_resolution':'MILLISECONDS'}
> AND compression={'sstable_compression':'LZ4Compressor'};
>
> and I'm running Cassandra on an EC2 m3.2xlarge out in the cloud, with 4 GB
> of heap space. So it's timeseries data that I'm doing so I increment
> "row_time" each day, "attrs" is additional identifying information about
> each series, and "offset" is the number of milliseconds into the day for
> each data point. So for the past 5 days, I've been inserting 3k
> points/second distributed across 100k distinct "attrs"es. And now when I
> try to run queries on this data that look like
>
> "SELECT * FROM "default".metrics WHERE row_time = 5 AND attrs =
> 'potatoes_and_jam'"
>
> it takes an absurdly long time and sometimes just times out. I did
> "nodetool cftsats default" and here's what I get:
>
> Keyspace: default
> Read Count: 59
> Read Latency: 397.12523728813557 ms.
> Write Count: 155128
> Write Latency: 0.3675690719921613 ms.
> Pending Flushes: 0
> Table: metrics
> SSTable count: 26
> Space used (live): 35146349027
> Space used (total): 35146349027
> Space used by snapshots (total): 0
> SSTable Compression Ratio: 0.10386468749216264
> Memtable cell count: 141800
> Memtable data size: 31071290
> Memtable switch count: 41
> Local read count: 59
> Local read latency: 397.126 ms
> Local write count: 155128
> Local write latency: 0.368 ms
> Pending flushes: 0
> Bloom filter false positives: 0
> Bloom filter false ratio: 0.00000
> Bloom filter space used: 2856
> Compacted partition minimum bytes: 104
> Compacted partition maximum bytes: 36904729268
> Compacted partition mean bytes: 986530969
> Average live cells per slice (last five minutes):
> 501.66101694915255
> Maximum live cells per slice (last five minutes): 502.0
> Average tombstones per slice (last five minutes): 0.0
> Maximum tombstones per slice (last five minutes): 0.0
>
> Ouch! 400ms of read latency, orders of magnitude higher than it has any
> right to be. How could this have happened? Is there something fundamentally
> broken about my data model? Thanks!
>
>
--
Jens Rantil
Backend engineer
Tink AB
Email: jens.ran...@tink.se
Phone: +46 708 84 18 32
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