criterion performance measurements

overview

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AcidState/~50000 users (large)/New Account

lower bound estimate upper bound
Mean execution time 0.17979957522052403 0.18234024466174717 0.19129511774676916
Standard deviation 6.406900300270595e-3 2.1686367808143172e-2 4.899876494095634e-2

Outlying measurements have severe (0.842019147115857%) effect on estimated standard deviation.

AcidState/~50000 users (large)/List Accounts

lower bound estimate upper bound
Mean execution time 3.3199201999826613e-5 3.744305270783444e-5 4.669369357697507e-5
Standard deviation 1.5917048853636828e-5 3.084020107593369e-5 4.909555493007984e-5

Outlying measurements have severe (0.9897742652024207%) effect on estimated standard deviation.

AcidState/~50000 users (large)/Single Item Insert

lower bound estimate upper bound
Mean execution time 9.216174494205634e-3 9.573444734989323e-3 9.934608351169747e-3
Standard deviation 1.6493615514640559e-3 1.840539976719565e-3 2.0901227992416293e-3

Outlying measurements have severe (0.936264732641093%) effect on estimated standard deviation.

AcidState/~50000 users (large)/Account Query

lower bound estimate upper bound
Mean execution time 4.002542674267943e-5 4.089998660639949e-5 4.253468099878453e-5
Standard deviation 3.5638151903256646e-6 5.975156449538249e-6 8.785698262901289e-6

Outlying measurements have severe (0.8940700256562859%) effect on estimated standard deviation.

HDBC/SQLite/~50000 users (large)/New Account

lower bound estimate upper bound
Mean execution time 0.20132070959704987 0.20317054690021152 0.20504771412509548
Standard deviation 8.751182702043347e-3 9.538530042251326e-3 1.050334147116775e-2

Outlying measurements have moderate (0.4543406281371707%) effect on estimated standard deviation.

HDBC/SQLite/~50000 users (large)/List Accounts

lower bound estimate upper bound
Mean execution time 1.5143198388923995 1.5475696414818152 1.586861132990299
Standard deviation 0.16390017809472715 0.18508886609113892 0.22277091846425867

Outlying measurements have severe (0.8519210161101574%) effect on estimated standard deviation.

HDBC/SQLite/~50000 users (large)/Single Item Insert

lower bound estimate upper bound
Mean execution time 3.6670913111148985e-2 3.8318290125309136e-2 3.984737576144805e-2
Standard deviation 7.195153114055006e-3 8.1461679327576e-3 9.182966492090416e-3

Outlying measurements have severe (0.9468798694795518%) effect on estimated standard deviation.

HDBC/SQLite/~50000 users (large)/Account Query

lower bound estimate upper bound
Mean execution time 1.767887922867815e-3 1.777447911843341e-3 1.7867176261988087e-3
Standard deviation 4.2434192610145736e-5 4.8146728949188415e-5 5.551672207064267e-5

Outlying measurements have moderate (0.20969315893475485%) effect on estimated standard deviation.

MongoDB/~50000 users (large)/New Account

lower bound estimate upper bound
Mean execution time 0.1726637357582437 0.1735340947021829 0.1747547382225382
Standard deviation 4.074035710421797e-3 5.2535939727487825e-3 6.787209518388778e-3

Outlying measurements have moderate (0.2484754668657744%) effect on estimated standard deviation.

MongoDB/~50000 users (large)/List Accounts

lower bound estimate upper bound
Mean execution time 0.8771276420463906 0.9054137677063335 0.9391930216659891
Standard deviation 0.13714759635564613 0.1578182085894602 0.17619660442595514

Outlying measurements have severe (0.9255519885903934%) effect on estimated standard deviation.

MongoDB/~50000 users (large)/Single Item Insert

lower bound estimate upper bound
Mean execution time 0.15997171581882116 0.1611136168350565 0.16257282675403228
Standard deviation 5.485280478633966e-3 6.608377869643135e-3 8.520140288672703e-3

Outlying measurements have moderate (0.3851401383228179%) effect on estimated standard deviation.

MongoDB/~50000 users (large)/Account Query

lower bound estimate upper bound
Mean execution time 7.518229187625516e-2 7.55174416412698e-2 7.61679667343485e-2
Standard deviation 1.3457797254112067e-3 2.315662972955759e-3 3.8386854516261324e-3

Outlying measurements have moderate (0.2578858934617458%) effect on estimated standard deviation.

understanding this report

In this report, each function benchmarked by criterion is assigned a section of its own. In each section, we display two charts, each with an x axis that represents measured execution time. These charts are active; if you hover your mouse over data points and annotations, you will see more details.

Under the charts is a small table displaying the mean and standard deviation of the measurements. We use a statistical technique called the bootstrap to provide confidence intervals on our estimates of these values. The bootstrap-derived upper and lower bounds on the mean and standard deviation let you see how accurate we believe those estimates to be. (Hover the mouse over the table headers to see the confidence levels.)

A noisy benchmarking environment can cause some or many measurements to fall far from the mean. These outlying measurements can have a significant inflationary effect on the estimate of the standard deviation. We calculate and display an estimate of the extent to which the standard deviation has been inflated by outliers.