Thanks for quick reply.
1. I don't know what are the thresholds that I should look for. So, to save
this back-and-forth, I'm attaching the cfstats output for the keyspace.
There is one table - daily_challenges - which shows compacted partition max
bytes as ~460M and another one - daily_guest_logins - which shows compacted
partition max bytes as ~36M.
Can that be a problem?
Here is the CQL schema for the daily_challenges column family:
CREATE TABLE app_10001.daily_challenges (
segment_type text,
date timestamp,
user_id int,
sess_id text,
data text,
deleted boolean,
PRIMARY KEY (segment_type, date, user_id, sess_id)
) WITH CLUSTERING ORDER BY (date DESC, user_id ASC, sess_id ASC)
AND bloom_filter_fp_chance = 0.01
AND caching = '{"keys":"ALL", "rows_per_partition":"NONE"}'
AND comment = ''
AND compaction = {'min_threshold': '4', 'class':
'org.apache.cassandra.db.compaction.SizeTieredCompactionStrategy',
'max_threshold': '32'}
AND compression = {'sstable_compression':
'org.apache.cassandra.io.compress.LZ4Compressor'}
AND dclocal_read_repair_chance = 0.1
AND default_time_to_live = 0
AND gc_grace_seconds = 864000
AND max_index_interval = 2048
AND memtable_flush_period_in_ms = 0
AND min_index_interval = 128
AND read_repair_chance = 0.0
AND speculative_retry = '99.0PERCENTILE';
CREATE INDEX idx_deleted ON app_10001.daily_challenges (deleted);
2. I don't know - how do I check? As I mentioned, I just installed the
dsc21 update from datastax's debian repo (ver 2.1.7).
Really appreciate your help.
Thanks,
Kunal
On 10 July 2015 at 23:33, Sebastian Estevez <sebastian.este...@datastax.com>
wrote:
> 1. You want to look at # of sstables in cfhistograms or in cfstats look at:
> Compacted partition maximum bytes
> Maximum live cells per slice
>
> 2) No, here's the env.sh from 3.0 which should work with some tweaks:
>
> https://github.com/tobert/cassandra/blob/0f70469985d62aeadc20b41dc9cdc9d72a035c64/conf/cassandra-env.sh
>
> You'll at least have to modify the jamm version to what's in yours. I
> think it's 2.5
>
>
>
> All the best,
>
>
> [image: datastax_logo.png] <http://www.datastax.com/>
>
> Sebastián Estévez
>
> Solutions Architect | 954 905 8615 | sebastian.este...@datastax.com
>
> [image: linkedin.png] <https://www.linkedin.com/company/datastax> [image:
> facebook.png] <https://www.facebook.com/datastax> [image: twitter.png]
> <https://twitter.com/datastax> [image: g+.png]
> <https://plus.google.com/+Datastax/about>
> <http://feeds.feedburner.com/datastax>
>
> <http://cassandrasummit-datastax.com/>
>
> DataStax is the fastest, most scalable distributed database technology,
> delivering Apache Cassandra to the world’s most innovative enterprises.
> Datastax is built to be agile, always-on, and predictably scalable to any
> size. With more than 500 customers in 45 countries, DataStax is the
> database technology and transactional backbone of choice for the worlds
> most innovative companies such as Netflix, Adobe, Intuit, and eBay.
>
> On Fri, Jul 10, 2015 at 1:42 PM, Kunal Gangakhedkar <
> kgangakhed...@gmail.com> wrote:
>
>> Thanks, Sebastian.
>>
>> Couple of questions (I'm really new to cassandra):
>> 1. How do I interpret the output of 'nodetool cfstats' to figure out the
>> issues? Any documentation pointer on that would be helpful.
>>
>> 2. I'm primarily a python/c developer - so, totally clueless about JVM
>> environment. So, please bare with me as I would need a lot of hand-holding.
>> Should I just copy+paste the settings you gave and try to restart the
>> failing cassandra server?
>>
>> Thanks,
>> Kunal
>>
>> On 10 July 2015 at 22:35, Sebastian Estevez <
>> sebastian.este...@datastax.com> wrote:
>>
>>> #1 You need more information.
>>>
>>> a) Take a look at your .hprof file (memory heap from the OOM) with an
>>> introspection tool like jhat or visualvm or java flight recorder and see
>>> what is using up your RAM.
>>>
>>> b) How big are your large rows (use nodetool cfstats on each node). If
>>> your data model is bad, you are going to have to re-design it no matter
>>> what.
>>>
>>> #2 As a possible workaround try using the G1GC allocator with the
>>> settings from c* 3.0 instead of CMS. I've seen lots of success with it
>>> lately (tl;dr G1GC is much simpler than CMS and almost as good as a finely
>>> tuned CMS). *Note:* Use it with the latest Java 8 from Oracle. Do *not*
>>> set the newgen size for G1 sets it dynamically:
>>>
>>> # min and max heap sizes should be set to the same value to avoid
>>>> # stop-the-world GC pauses during resize, and so that we can lock the
>>>> # heap in memory on startup to prevent any of it from being swapped
>>>> # out.
>>>> JVM_OPTS="$JVM_OPTS -Xms${MAX_HEAP_SIZE}"
>>>> JVM_OPTS="$JVM_OPTS -Xmx${MAX_HEAP_SIZE}"
>>>>
>>>> # Per-thread stack size.
>>>> JVM_OPTS="$JVM_OPTS -Xss256k"
>>>>
>>>> # Use the Hotspot garbage-first collector.
>>>> JVM_OPTS="$JVM_OPTS -XX:+UseG1GC"
>>>>
>>>> # Have the JVM do less remembered set work during STW, instead
>>>> # preferring concurrent GC. Reduces p99.9 latency.
>>>> JVM_OPTS="$JVM_OPTS -XX:G1RSetUpdatingPauseTimePercent=5"
>>>>
>>>> # The JVM maximum is 8 PGC threads and 1/4 of that for ConcGC.
>>>> # Machines with > 10 cores may need additional threads.
>>>> # Increase to <= full cores (do not count HT cores).
>>>> #JVM_OPTS="$JVM_OPTS -XX:ParallelGCThreads=16"
>>>> #JVM_OPTS="$JVM_OPTS -XX:ConcGCThreads=16"
>>>>
>>>> # Main G1GC tunable: lowering the pause target will lower throughput
>>>> and vise versa.
>>>> # 200ms is the JVM default and lowest viable setting
>>>> # 1000ms increases throughput. Keep it smaller than the timeouts in
>>>> cassandra.yaml.
>>>> JVM_OPTS="$JVM_OPTS -XX:MaxGCPauseMillis=500"
>>>> # Do reference processing in parallel GC.
>>>> JVM_OPTS="$JVM_OPTS -XX:+ParallelRefProcEnabled"
>>>>
>>>> # This may help eliminate STW.
>>>> # The default in Hotspot 8u40 is 40%.
>>>> #JVM_OPTS="$JVM_OPTS -XX:InitiatingHeapOccupancyPercent=25"
>>>>
>>>> # For workloads that do large allocations, increasing the region
>>>> # size may make things more efficient. Otherwise, let the JVM
>>>> # set this automatically.
>>>> #JVM_OPTS="$JVM_OPTS -XX:G1HeapRegionSize=32m"
>>>>
>>>> # Make sure all memory is faulted and zeroed on startup.
>>>> # This helps prevent soft faults in containers and makes
>>>> # transparent hugepage allocation more effective.
>>>> JVM_OPTS="$JVM_OPTS -XX:+AlwaysPreTouch"
>>>>
>>>> # Biased locking does not benefit Cassandra.
>>>> JVM_OPTS="$JVM_OPTS -XX:-UseBiasedLocking"
>>>>
>>>> # Larger interned string table, for gossip's benefit (CASSANDRA-6410)
>>>> JVM_OPTS="$JVM_OPTS -XX:StringTableSize=1000003"
>>>>
>>>> # Enable thread-local allocation blocks and allow the JVM to
>>>> automatically
>>>> # resize them at runtime.
>>>> JVM_OPTS="$JVM_OPTS -XX:+UseTLAB -XX:+ResizeTLAB"
>>>>
>>>> # http://www.evanjones.ca/jvm-mmap-pause.html
>>>> JVM_OPTS="$JVM_OPTS -XX:+PerfDisableSharedMem"
>>>
>>>
>>> All the best,
>>>
>>>
>>> [image: datastax_logo.png] <http://www.datastax.com/>
>>>
>>> Sebastián Estévez
>>>
>>> Solutions Architect | 954 905 8615 | sebastian.este...@datastax.com
>>>
>>> [image: linkedin.png] <https://www.linkedin.com/company/datastax> [image:
>>> facebook.png] <https://www.facebook.com/datastax> [image: twitter.png]
>>> <https://twitter.com/datastax> [image: g+.png]
>>> <https://plus.google.com/+Datastax/about>
>>> <http://feeds.feedburner.com/datastax>
>>>
>>> <http://cassandrasummit-datastax.com/>
>>>
>>> DataStax is the fastest, most scalable distributed database technology,
>>> delivering Apache Cassandra to the world’s most innovative enterprises.
>>> Datastax is built to be agile, always-on, and predictably scalable to any
>>> size. With more than 500 customers in 45 countries, DataStax is the
>>> database technology and transactional backbone of choice for the worlds
>>> most innovative companies such as Netflix, Adobe, Intuit, and eBay.
>>>
>>> On Fri, Jul 10, 2015 at 12:55 PM, Kunal Gangakhedkar <
>>> kgangakhed...@gmail.com> wrote:
>>>
>>>> I upgraded my instance from 8GB to a 14GB one.
>>>> Allocated 8GB to jvm heap in cassandra-env.sh.
>>>>
>>>> And now, it crashes even faster with an OOM..
>>>>
>>>> Earlier, with 4GB heap, I could go upto ~90% replication completion (as
>>>> reported by nodetool netstats); now, with 8GB heap, I cannot even get
>>>> there. I've already restarted cassandra service 4 times with 8GB heap.
>>>>
>>>> No clue what's going on.. :(
>>>>
>>>> Kunal
>>>>
>>>> On 10 July 2015 at 17:45, Jack Krupansky <jack.krupan...@gmail.com>
>>>> wrote:
>>>>
>>>>> You, and only you, are responsible for knowing your data and data
>>>>> model.
>>>>>
>>>>> If columns per row or rows per partition can be large, then an 8GB
>>>>> system is probably too small. But the real issue is that you need to keep
>>>>> your partition size from getting too large.
>>>>>
>>>>> Generally, an 8GB system is okay, but only for reasonably-sized
>>>>> partitions, like under 10MB.
>>>>>
>>>>>
>>>>> -- Jack Krupansky
>>>>>
>>>>> On Fri, Jul 10, 2015 at 8:05 AM, Kunal Gangakhedkar <
>>>>> kgangakhed...@gmail.com> wrote:
>>>>>
>>>>>> I'm new to cassandra
>>>>>> How do I find those out? - mainly, the partition params that you
>>>>>> asked for. Others, I think I can figure out.
>>>>>>
>>>>>> We don't have any large objects/blobs in the column values - it's all
>>>>>> textual, date-time, numeric and uuid data.
>>>>>>
>>>>>> We use cassandra to primarily store segmentation data - with segment
>>>>>> type as partition key. That is again divided into two separate column
>>>>>> families; but they have similar structure.
>>>>>>
>>>>>> Columns per row can be fairly large - each segment type as the row
>>>>>> key and associated user ids and timestamp as column value.
>>>>>>
>>>>>> Thanks,
>>>>>> Kunal
>>>>>>
>>>>>> On 10 July 2015 at 16:36, Jack Krupansky <jack.krupan...@gmail.com>
>>>>>> wrote:
>>>>>>
>>>>>>> What does your data and data model look like - partition size, rows
>>>>>>> per partition, number of columns per row, any large values/blobs in
>>>>>>> column
>>>>>>> values?
>>>>>>>
>>>>>>> You could run fine on an 8GB system, but only if your rows and
>>>>>>> partitions are reasonably small. Any large partitions could blow you
>>>>>>> away.
>>>>>>>
>>>>>>> -- Jack Krupansky
>>>>>>>
>>>>>>> On Fri, Jul 10, 2015 at 4:22 AM, Kunal Gangakhedkar <
>>>>>>> kgangakhed...@gmail.com> wrote:
>>>>>>>
>>>>>>>> Attaching the stack dump captured from the last OOM.
>>>>>>>>
>>>>>>>> Kunal
>>>>>>>>
>>>>>>>> On 10 July 2015 at 13:32, Kunal Gangakhedkar <
>>>>>>>> kgangakhed...@gmail.com> wrote:
>>>>>>>>
>>>>>>>>> Forgot to mention: the data size is not that big - it's barely
>>>>>>>>> 10GB in all.
>>>>>>>>>
>>>>>>>>> Kunal
>>>>>>>>>
>>>>>>>>> On 10 July 2015 at 13:29, Kunal Gangakhedkar <
>>>>>>>>> kgangakhed...@gmail.com> wrote:
>>>>>>>>>
>>>>>>>>>> Hi,
>>>>>>>>>>
>>>>>>>>>> I have a 2 node setup on Azure (east us region) running Ubuntu
>>>>>>>>>> server 14.04LTS.
>>>>>>>>>> Both nodes have 8GB RAM.
>>>>>>>>>>
>>>>>>>>>> One of the nodes (seed node) died with OOM - so, I am trying to
>>>>>>>>>> add a replacement node with same configuration.
>>>>>>>>>>
>>>>>>>>>> The problem is this new node also keeps dying with OOM - I've
>>>>>>>>>> restarted the cassandra service like 8-10 times hoping that it would
>>>>>>>>>> finish
>>>>>>>>>> the replication. But it didn't help.
>>>>>>>>>>
>>>>>>>>>> The one node that is still up is happily chugging along.
>>>>>>>>>> All nodes have similar configuration - with libjna installed.
>>>>>>>>>>
>>>>>>>>>> Cassandra is installed from datastax's debian repo - pkg: dsc21
>>>>>>>>>> version 2.1.7.
>>>>>>>>>> I started off with the default configuration - i.e. the default
>>>>>>>>>> cassandra-env.sh - which calculates the heap size automatically (1/4
>>>>>>>>>> * RAM
>>>>>>>>>> = 2GB)
>>>>>>>>>>
>>>>>>>>>> But, that didn't help. So, I then tried to increase the heap to
>>>>>>>>>> 4GB manually and restarted. It still keeps crashing.
>>>>>>>>>>
>>>>>>>>>> Any clue as to why it's happening?
>>>>>>>>>>
>>>>>>>>>> Thanks,
>>>>>>>>>> Kunal
>>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>
>>>>>>>
>>>>>>
>>>>>
>>>>
>>>
>>
>
Keyspace: app_10001
Read Count: 15457730
Read Latency: 7.596830444508994 ms.
Write Count: 746281660
Write Latency: 0.05196263861823966 ms.
Pending Flushes: 0
Table (index): daily_challenges.idx_deleted
SSTable count: 403
Space used (live): 478356941
Space used (total): 478356941
Space used by snapshots (total): 0
SSTable Compression Ratio: 0.5551512820038972
Memtable cell count: 753
Memtable data size: 45766
Memtable switch count: 0
Local read count: 6089050
Local read latency: 11.951 ms
Local write count: 15061824
Local write latency: 0.029 ms
Pending flushes: 0
Bloom filter false positives: 0
Bloom filter false ratio: 0.00000
Bloom filter space used: 6928
Compacted partition minimum bytes: 87
Compacted partition maximum bytes: 107964792
Compacted partition mean bytes: 1169897
Average live cells per slice (last five minutes):
2.999939727872164
Maximum live cells per slice (last five minutes): 3.0
Average tombstones per slice (last five minutes):
0.22855026646192755
Maximum tombstones per slice (last five minutes): 25.0
Table: daily_challenges
SSTable count: 405
Space used (live): 1362685827
Space used (total): 1367330566
Space used by snapshots (total): 0
SSTable Compression Ratio: 0.26546186350427925
Memtable cell count: 1011
Memtable data size: 349470
Memtable switch count: 419
Local read count: 9368599
Local read latency: 4.761 ms
Local write count: 7207110
Local write latency: 0.161 ms
Pending flushes: 0
Bloom filter false positives: 0
Bloom filter false ratio: 0.00000
Bloom filter space used: 7600
Compacted partition minimum bytes: 14238
Compacted partition maximum bytes: 464228842
Compacted partition mean bytes: 13914141
Average live cells per slice (last five minutes):
0.7820884466072269
Maximum live cells per slice (last five minutes): 1.0
Average tombstones per slice (last five minutes): 0.0
Maximum tombstones per slice (last five minutes): 0.0
Table: daily_guest_logins
SSTable count: 51
Space used (live): 40426821
Space used (total): 40426821
Space used by snapshots (total): 0
SSTable Compression Ratio: 0.3649429689714488
Memtable cell count: 641
Memtable data size: 18900
Memtable switch count: 51
Local read count: 0
Local read latency: NaN ms
Local write count: 9966344
Local write latency: 0.039 ms
Pending flushes: 0
Bloom filter false positives: 0
Bloom filter false ratio: 0.00000
Bloom filter space used: 976
Compacted partition minimum bytes: 771
Compacted partition maximum bytes: 36157190
Compacted partition mean bytes: 2433128
Average live cells per slice (last five minutes): 0.0
Maximum live cells per slice (last five minutes): 0.0
Average tombstones per slice (last five minutes): 0.0
Maximum tombstones per slice (last five minutes): 0.0
Table: daily_new_registrations
SSTable count: 41
Space used (live): 9763317
Space used (total): 9763317
Space used by snapshots (total): 0
SSTable Compression Ratio: 0.42244627946544405
Memtable cell count: 33
Memtable data size: 1300
Memtable switch count: 41
Local read count: 0
Local read latency: NaN ms
Local write count: 527893
Local write latency: 0.038 ms
Pending flushes: 0
Bloom filter false positives: 0
Bloom filter false ratio: 0.00000
Bloom filter space used: 816
Compacted partition minimum bytes: 104
Compacted partition maximum bytes: 12108970
Compacted partition mean bytes: 772371
Average live cells per slice (last five minutes): 0.0
Maximum live cells per slice (last five minutes): 0.0
Average tombstones per slice (last five minutes): 0.0
Maximum tombstones per slice (last five minutes): 0.0
Table: daily_social_logins
SSTable count: 41
Space used (live): 8030277
Space used (total): 8030277
Space used by snapshots (total): 0
SSTable Compression Ratio: 0.4059610117700528
Memtable cell count: 129
Memtable data size: 3500
Memtable switch count: 42
Local read count: 0
Local read latency: NaN ms
Local write count: 2858562
Local write latency: 0.032 ms
Pending flushes: 0
Bloom filter false positives: 0
Bloom filter false ratio: 0.00000
Bloom filter space used: 816
Compacted partition minimum bytes: 125
Compacted partition maximum bytes: 7007506
Compacted partition mean bytes: 567414
Average live cells per slice (last five minutes): 0.0
Maximum live cells per slice (last five minutes): 0.0
Average tombstones per slice (last five minutes): 0.0
Maximum tombstones per slice (last five minutes): 0.0
Table (index): event_stream.index_event_stream_user_country
SSTable count: 5445
Space used (live): 1238089858
Space used (total): 1238089858
Space used by snapshots (total): 4870
SSTable Compression Ratio: 0.35452645745931183
Memtable cell count: 19841
Memtable data size: 806362
Memtable switch count: 0
Local read count: 0
Local read latency: NaN ms
Local write count: 121085782
Local write latency: 0.020 ms
Pending flushes: 0
Bloom filter false positives: 0
Bloom filter false ratio: 0.00000
Bloom filter space used: 429768
Compacted partition minimum bytes: 61
Compacted partition maximum bytes: 943127
Compacted partition mean bytes: 13233
Average live cells per slice (last five minutes): 0.0
Maximum live cells per slice (last five minutes): 0.0
Average tombstones per slice (last five minutes): 0.0
Maximum tombstones per slice (last five minutes): 0.0
Table (index): event_stream.index_event_stream_user_ip
SSTable count: 5445
Space used (live): 1354666160
Space used (total): 1354666160
Space used by snapshots (total): 4910
SSTable Compression Ratio: 0.36008613590700006
Memtable cell count: 19831
Memtable data size: 802164
Memtable switch count: 0
Local read count: 0
Local read latency: NaN ms
Local write count: 119946624
Local write latency: 0.012 ms
Pending flushes: 0
Bloom filter false positives: 0
Bloom filter false ratio: 0.00000
Bloom filter space used: 3235976
Compacted partition minimum bytes: 73
Compacted partition maximum bytes: 943127
Compacted partition mean bytes: 1507
Average live cells per slice (last five minutes): 0.0
Maximum live cells per slice (last five minutes): 0.0
Average tombstones per slice (last five minutes): 0.0
Maximum tombstones per slice (last five minutes): 0.0
Table: event_stream
SSTable count: 5445
Space used (live): 7788128519
Space used (total): 7788128519
Space used by snapshots (total): 5441
SSTable Compression Ratio: 0.21874022831548764
Memtable cell count: 75433
Memtable data size: 7676755
Memtable switch count: 5446
Local read count: 81
Local read latency: 809.210 ms
Local write count: 59563652
Local write latency: 0.253 ms
Pending flushes: 0
Bloom filter false positives: 0
Bloom filter false ratio: 0.00000
Bloom filter space used: 174224
Compacted partition minimum bytes: 311
Compacted partition maximum bytes: 8409007
Compacted partition mean bytes: 577868
Average live cells per slice (last five minutes):
87.42857142857143
Maximum live cells per slice (last five minutes): 102.0
Average tombstones per slice (last five minutes): 0.0
Maximum tombstones per slice (last five minutes): 0.0
Table (index): user_event_map.index_user_event_map_evt_type
SSTable count: 3166
Space used (live): 1149599939
Space used (total): 1149599939
Space used by snapshots (total): 4956
SSTable Compression Ratio: 0.46269090321350587
Memtable cell count: 19408
Memtable data size: 546700
Memtable switch count: 0
Local read count: 0
Local read latency: NaN ms
Local write count: 117988685
Local write latency: 0.019 ms
Pending flushes: 0
Bloom filter false positives: 0
Bloom filter false ratio: 0.00000
Bloom filter space used: 101304
Compacted partition minimum bytes: 61
Compacted partition maximum bytes: 785939
Compacted partition mean bytes: 68590
Average live cells per slice (last five minutes): 0.0
Maximum live cells per slice (last five minutes): 0.0
Average tombstones per slice (last five minutes): 0.0
Maximum tombstones per slice (last five minutes): 0.0
Table (index): user_event_map.index_user_event_map_user_country
SSTable count: 3166
Space used (live): 1084074127
Space used (total): 1084074127
Space used by snapshots (total): 4837
SSTable Compression Ratio: 0.43881106861515695
Memtable cell count: 19223
Memtable data size: 542584
Memtable switch count: 0
Local read count: 0
Local read latency: NaN ms
Local write count: 116460555
Local write latency: 0.014 ms
Pending flushes: 0
Bloom filter false positives: 0
Bloom filter false ratio: 0.00000
Bloom filter space used: 272200
Compacted partition minimum bytes: 51
Compacted partition maximum bytes: 654949
Compacted partition mean bytes: 14641
Average live cells per slice (last five minutes): 0.0
Maximum live cells per slice (last five minutes): 0.0
Average tombstones per slice (last five minutes): 0.0
Maximum tombstones per slice (last five minutes): 0.0
Table (index): user_event_map.index_user_event_map_user_ip
SSTable count: 3166
Space used (live): 1175416923
Space used (total): 1175416923
Space used by snapshots (total): 4878
SSTable Compression Ratio: 0.4422075743233993
Memtable cell count: 19193
Memtable data size: 538664
Memtable switch count: 0
Local read count: 0
Local read latency: NaN ms
Local write count: 116060301
Local write latency: 0.011 ms
Pending flushes: 0
Bloom filter false positives: 0
Bloom filter false ratio: 0.00000
Bloom filter space used: 2515184
Compacted partition minimum bytes: 61
Compacted partition maximum bytes: 654949
Compacted partition mean bytes: 1375
Average live cells per slice (last five minutes): 0.0
Maximum live cells per slice (last five minutes): 0.0
Average tombstones per slice (last five minutes): 0.0
Maximum tombstones per slice (last five minutes): 0.0
Table: user_event_map
SSTable count: 3166
Space used (live): 3513898771
Space used (total): 3513898771
Space used by snapshots (total): 5098
SSTable Compression Ratio: 0.282546418560261
Memtable cell count: 39028
Memtable data size: 2882597
Memtable switch count: 3167
Local read count: 0
Local read latency: NaN ms
Local write count: 59554382
Local write latency: 0.219 ms
Pending flushes: 0
Bloom filter false positives: 0
Bloom filter false ratio: 0.00000
Bloom filter space used: 3791224
Compacted partition minimum bytes: 104
Compacted partition maximum bytes: 3379391
Compacted partition mean bytes: 4442
Average live cells per slice (last five minutes): 0.0
Maximum live cells per slice (last five minutes): 0.0
Average tombstones per slice (last five minutes): 0.0
Maximum tombstones per slice (last five minutes): 0.0
----------------
