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author | Alex Gorrod <alexander.gorrod@mongodb.com> | 2016-09-13 13:52:35 +1000 |
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committer | GitHub <noreply@github.com> | 2016-09-13 13:52:35 +1000 |
commit | f82cf084e733f745ef437192fbde1235b69509dc (patch) | |
tree | 3b9f18bb8a7120a29b5c1a2c6ee71508a92ce315 | |
parent | c8ccbfcf988ac32eed4a7e04f6a37d4ae5ff6146 (diff) | |
download | mongo-f82cf084e733f745ef437192fbde1235b69509dc.tar.gz |
WT-2894 Add wtperf stress workload that tries to induce negative scaling (#3034)
Via use a high thread count and throttled operations.
-rw-r--r-- | bench/wtperf/runners/multi-btree-read-heavy-stress.wtperf | 21 |
1 files changed, 21 insertions, 0 deletions
diff --git a/bench/wtperf/runners/multi-btree-read-heavy-stress.wtperf b/bench/wtperf/runners/multi-btree-read-heavy-stress.wtperf new file mode 100644 index 00000000000..d7b27f8fda4 --- /dev/null +++ b/bench/wtperf/runners/multi-btree-read-heavy-stress.wtperf @@ -0,0 +1,21 @@ +# Drive a constant high workload through, even if WiredTiger isn't keeping +# up by dividing the workload across a lot of threads. This needs to be +# tuned to the particular machine so the workload is close to capacity in the +# steady state, but not overwhelming. +conn_config="cache_size=20GB,session_max=1000,eviction=(threads_min=4,threads_max=4),log=(enabled=false),transaction_sync=(enabled=false),checkpoint_sync=true,checkpoint=(wait=60),statistics=(fast),statistics_log=(json,wait=1)" +table_config="allocation_size=4k,memory_page_max=10MB,prefix_compression=false,split_pct=90,leaf_page_max=32k,internal_page_max=16k,type=file" +# Divide original icount by database_count. +table_count=8 +compression=snappy +icount=200000000 +populate_threads=1 +reopen_connection=false +log_like_table=true +#pareto=5 +report_interval=1 +run_time=3600 +threads=((count=10,throttle=250,inserts=1),(count=10,throttle=250,updates=1),(count=80,throttle=600,reads=1,ops_per_txn=3)) +value_sz=500 +sample_interval=5 +sample_rate=1 + |