App Install
Measure app installation speed. This scenario has two roles:
minimal: Installs a simple app which implements initialisation callbacks but otherwise doesn't contain a lot of code.large: Installs a larger app that contains some dependencies and some generated data as padding to make the bundle larger.
These are intended to catch a compilation slowdown or issues with copying around large WASMs (e.g. accidental cloning or tracing). In each case, the behaviour will uninstall the app it installed so that it can re-install it on the next iteration.
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large(1 agent)
App Install
Measure app installation speed. This scenario has two roles:
minimal: Installs a simple app which implements initialisation callbacks but otherwise doesn't contain a lot of code.large: Installs a larger app that contains some dependencies and some generated data as padding to make the bundle larger.
These are intended to catch a compilation slowdown or issues with copying around large WASMs (e.g. accidental cloning or tracing). In each case, the behaviour will uninstall the app it installed so that it can re-install it on the next iteration.
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minimal(1 agent)
DHT Sync Lag
Measure lag time between an agent publishing data and other peers being able to see it. This scenario has two roles:
write: A simple job that just creates entries with a timestamp field. Those entries are linked to a known base hash. For each write, the metricws.custom.dht_sync_sent_countis incremented.record_lag: A job that repeatedly queries for links from the known base hash. It keeps track of records that it has seen and when a new record is found, and calculates the time difference between the timestamp of the new record and the current time. That time difference is then recorded as a custom metric calledwt.custom.dht_sync_lag.
After each behaviour loop the metric ws.custom.dht_sync_recv_count is incremented.
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record_lag(5 agents) -
write(5 agents)
agent:uhCAk0oQ3pDzIw2J1Yef2tn7UPccik0tCSwn4Pb79eNt0vXHDj4Fv
agent:uhCAk2EJfWGBiRuW0u04g8S87mcncqA-r3iJBtw-ZRU6f9fudbhE2
agent:uhCAk4toQ7_9mOpLRF7rhSa9_hO-qP8dNt7VZihagMr6zpSLGu0R3
agent:uhCAkBDtvyDWqQ_GvyVTLmmmGmGAQRa2SKHnrSRI486-EhwdB2vJJ
agent:uhCAksbQ64yfC0NkVwV8KW0rUxug3GZTsLf7IqFuW5wgOIjKg-n_v
agent:uhCAk8iZaq94j7BcpKGh26AxdP6xjPKVqV_TFQM2IbrsDOS1BZItb
agent:uhCAkEzaPVufvl-7YOqSkONHGeO6hiT2o3njnvNp95i2IhXXEZo8T
agent:uhCAkO8S5o9hXhlEfHK_c61x0wdFGcR-VtYWmV7J-APnLHuDrj1k8
agent:uhCAkTzhqqXXXhoTX1q3W12WuAGloRD_q-tnYZrkyjLhv5x07ypXa
agent:uhCAkffg9FiqH0CdmJHMbFHJxIFM8HqxddJXZLtckbltCIjNOU4w4
agent:uhCAk8iZaq94j7BcpKGh26AxdP6xjPKVqV_TFQM2IbrsDOS1BZItb
agent:uhCAkEzaPVufvl-7YOqSkONHGeO6hiT2o3njnvNp95i2IhXXEZo8T
agent:uhCAkO8S5o9hXhlEfHK_c61x0wdFGcR-VtYWmV7J-APnLHuDrj1k8
agent:uhCAkTzhqqXXXhoTX1q3W12WuAGloRD_q-tnYZrkyjLhv5x07ypXa
agent:uhCAkffg9FiqH0CdmJHMbFHJxIFM8HqxddJXZLtckbltCIjNOU4w4
First Call
This scenario installs a simple app which implements the init callback, and measures the time elapsed between start of install and calling init. It will uninstall the app it installed so that it can re-install it on the next iteration. This is required to re-run the initialisation callback.
- Default (1 agent)
init.No scenario template for full_arc_create_validated_zero_arc_read!
Local Signals
This scenario is for testing the speed and reliability of local signals. It uses a zome with a function that will emit 10,000 signals. The scenario measures how long it takes to send the signals and how many have been received by the time the zome call ends.
- Default (1 agent)
No scenario template for mixed_arc_get_agent_activity!
No scenario template for mixed_arc_must_get_agent_activity!
Remote Call Rate
Test the throughput of remote_call operations. Each agent in this scenario waits for a certain number of peers to be available or for up to two minutes, whichever happens first, before starting its behaviour.
- Default (1 agent)
agent:uhCAkRoLjW1t_OXjbwxhBWXfXqcDo2Ntw64B9ZuYDrmri2FSLxIBs
agent:uhCAkyfP-okYtzN28fF7t7XFAHOJaImv8ENZCF-L-77YCSHF6GZ5o
agent:uhCAkRoLjW1t_OXjbwxhBWXfXqcDo2Ntw64B9ZuYDrmri2FSLxIBs
agent:uhCAkyfP-okYtzN28fF7t7XFAHOJaImv8ENZCF-L-77YCSHF6GZ5o
Remote Signals
This scenario tests the throughput of remote_signals operations.
- Default (1 agent)
Single-write, many-read
Creates an entry in the agent setup, then read one's own record back. This tests the maximum read performance for reading back local data when the chain is short.
- Default (1 agent)
read call timingread call rate (10s)Write/get_agent_activity
A scenario where write peers write entries, while get_agent_activity peers each query a single write agent's activity with get_agent_activity.
Before a target write peer and the requesting get_agent_activity peer are in sync, this will measure the get_agent_activity call performance over a network. Once a write peer reaches sync with a get_agent_activity peer, the write peer will publish their actions and entries, and so the get_agent_activity calls will likely have most of the data they need locally. At that point this measures the database query performance and code paths through host functions.
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get_agent_activity(1 agent) -
write(1 agent)
action_seqwrite peer's source chain.get_agent_activity_full zome call timingwrite peer's source chain.agent:uhCAkGnOcuh1mj3kNnLuCEAZ6YWKlRmVB2X1Kkd8gVHopu4Ld4Uk2
Write/Query
Creates an entry, then queries the source chain and performs a simple operation on the entries, then repeats.
- Default (1 agent)
Write/Read
Creates an entry and reads it back, then repeats.
- Default (1 agent)
Write validated
Creates an entry, updates it and links the create to the update, then repeats. Each of the three actions is validated by the included hApp.
- Default (1 agent)
Write Validated must_get_agent_activity
A scenario where write agents create entries, while must_get_agent_activity agents create entries which are validated with a must_get_agent_activity call for a single write agent's activity.
Before a target write peer and the requesting peer are in sync, the must_get_agent_activity request will go over the network. Once a write peer reaches sync with the requesting must_get_agent_activity peer, the write peer will publish their actions and entries, and so the must_get_agent_activity calls will likely have the data it needs locally. At that point this measures the database query performance and code paths through host functions.
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must_get_agent_activity(1 agent) -
write(1 agent)
action_seqmust_get_agent_activity peer's source chain top over the run.create_validated_sample_entry zome call timingwrite agent's source chain.agent:uhCAkTBlhBt8EJIq57YZmMHMyxyjAns5pWoabReMnMr7AIyQlCcMq
Zero-Arc Create and Read
A zero-arc/full-arc mixed scenario with two types of zero-arc nodes -- ones that create data and ones that read data -- as well as full arc nodes to "relay" the data. The scenario has three roles:
zero_write: A zero-arc conductor that just creates entries with a timestamp field. Those entries are linked to a known base hash so thatzero_readnodes can retrieve them.zero_read: A zero-arc conductor that reads the entries created by the zero-arc node(s) and records the time lag between when the entry had been created and when it was first discovered.full: A full-arc conductor that is just here to serve entries to zero arc nodes.
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full(3 agents) -
zero_read(3 agents) -
zero_write(3 agents)
agent:uhCAkINHNtN1P8MOz-u8Mlh0U9N5ZPZtDeIVlUpdFy2kEdc9PfRHM
agent:uhCAkYyvL5jIdN2ckuaX_ifepvlBgQIK1Du7EkqllrOaunZ8XVUsI
agent:uhCAkcbIdQMJSP5g124bsQm8O_xOEXMoZ1c_yiM1uRYDhn8_eui1Q
get_timed_local_entries zome function.agent:uhCAklLU5r7rrFPO-ilZbVfrf2h78Y1Nn5RApT6f5RYR7A-Fztx_R
agent:uhCAkoih_9_JxNjcVNycD5EW576TirgiO_D-wjqgMvPyaPaNOXYah
agent:uhCAklLU5r7rrFPO-ilZbVfrf2h78Y1Nn5RApT6f5RYR7A-Fztx_R
agent:uhCAkoih_9_JxNjcVNycD5EW576TirgiO_D-wjqgMvPyaPaNOXYah
Zero-Arc Create Data
zero: A zero-arc conductor that just creates entries with a timestamp field. Those entries are linked to a known base hash so that full-arc nodes can retrieve them.full: A full-arc conductor that reads the entries created by the zero-arc node(s) and records the time lag between when the entry had been created and when it was first discovered.
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full(4 agents) -
zero(6 agents)
agent:uhCAkE9Yhe0KcT5cWYK5BAmR7Ou5fHpsWJvl1WABna3e6GImMWdz0
agent:uhCAkGtBDRLwW9W5UwGfFEruzir_-jXTuST6B6WjwTNARMSfNE-1Q
agent:uhCAkIDcZDnqzxdCPRyTcjViWB2GcRrM_c9dIuK5GERKQotWLZYV9
agent:uhCAkVC5xqYU-8oN31Auidu2ehFf8FBBamyotZ1bRG-2K6o74Ob0g
agent:uhCAkhBrqTaieiOA_9kVMzkwOIma-VkLRHD2rkjqhkBcn27K8nJ7E
agent:uhCAkmQNlbAo1YzAwTYuXvG56CI_ba6xKCIiI25UMrYjthOeE73z8
get_timed_local_entries zome function.agent:uhCAkQTnztmxDZKo7-qN9U5jiqCeLN7FHnocClpCNtqWn1uGVo4io
agent:uhCAkadMlwA2RRWcgCT2DS5OtsBvrEgk0A4zxcZDci81VHChiuhQA
agent:uhCAkf9G8NXG14MIIfNCv6hbUO99b69isfjXCAdGM8BdHscVHJhft
agent:uhCAktJPfabsL2TD0mYEogLZKLa3SVRQ0nZyIJ9fGhEV8n44Crpua
agent:uhCAkQTnztmxDZKo7-qN9U5jiqCeLN7FHnocClpCNtqWn1uGVo4io
agent:uhCAkadMlwA2RRWcgCT2DS5OtsBvrEgk0A4zxcZDci81VHChiuhQA
agent:uhCAkf9G8NXG14MIIfNCv6hbUO99b69isfjXCAdGM8BdHscVHJhft
agent:uhCAktJPfabsL2TD0mYEogLZKLa3SVRQ0nZyIJ9fGhEV8n44Crpua
Zero-arc Create Data (Validated)
A zero-arc/full-arc mixed scenario where zero-arc nodes create data that gets validated and full-arc nodes read the data. The scenario has two roles:
zero: A zero-arc conductor that just creates entries with a timestamp field. Those entries are linked to a known base hash so that full-arc nodes can retrieve them.full: A full-arc conductor that reads the entries created by the zero-arc node(s) and records the time lag between when the entry had been created and when it was first discovered.
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full(4 agents) -
zero(6 agents)
agent:uhCAk3VcxqTLG4bh5DNOZ9BGJSDYylMfcQao1RN9VqwMZSE2M-ZhT
agent:uhCAkFpFoaVUWrLP09mpd__vgInyw8ZeEWk6TnhzrWcS88jYfP6Jz
agent:uhCAkQSPtrfs9h-rSMCjjt-6G6xF-VCB7K5q-mWvQQm4WyFkevaLj
agent:uhCAkQeygKKGMxaMP2gdSFVWiz2ra-QSp6-9TJraQ_-N1UxO9OkqF
agent:uhCAka5GzeU6bKjZA5sQujAt5AMLCjL7unaGnWDsaEKyT-LQ4Oj5B
agent:uhCAkaWk_ie5pcCwUd22PgeEUqI4AFSAPT8JrUWoTqpTkVBflISsH
get_timed_local_entries zome function.agent:uhCAkW2yo7q4tMwBZn0xS1BvaGWBpPFmD9lk5rARQeYP-uzs9wGXg
agent:uhCAkhanj90tY5zZa4Pn5ZtXU6pULuiohrGiFAbi__doXRZ-t_7ib
agent:uhCAkuVEJLz5Zsxzj9Upx5Uv2TUuzIoFcM7c86hozt2GJq4K3l_IK
agent:uhCAkyWw5H3J-hc5khrYAK-PFkXUXHbiyeN6lXb3kQmMWH_luLDLb
agent:uhCAkW2yo7q4tMwBZn0xS1BvaGWBpPFmD9lk5rARQeYP-uzs9wGXg
agent:uhCAkhanj90tY5zZa4Pn5ZtXU6pULuiohrGiFAbi__doXRZ-t_7ib
agent:uhCAkuVEJLz5Zsxzj9Upx5Uv2TUuzIoFcM7c86hozt2GJq4K3l_IK
agent:uhCAkyWw5H3J-hc5khrYAK-PFkXUXHbiyeN6lXb3kQmMWH_luLDLb
Zome Call, Single Value
Calls a zome function that returns a fixed value. This tests the maximum performance of zome calls when the zome function is not calling into Holochain other otherwise doing any work.
- Default (1 agent)