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)
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)
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:uhCAkGxJS7Pe3ZKnuhI_WwRnyS7o9b58-2TKZVByGI2jCOD0paBYv
agent:uhCAkJ7aPN1K9mBfrg10NiCm3CiFOehSpq9XQnGmZf7MpSuhxPIhr
agent:uhCAkhiW_18JAo6DKQ2EFK7vrQayzniWsMVaFRtKwsTXti2lS_-UW
agent:uhCAklmrA2kHTh7AX6pbtRBpwCwGNBFKNGDj9PT_Peg6q3Q_xH8KH
agent:uhCAkvR3A9kV3toBilAbIrC132b0c7J8beybLX5ot89bq1FPcVQZp
agent:uhCAk5k2O0zh8rnZcLmCfB0GGRzKvR0-_mSP8S1G64IeZTI8vICvc
agent:uhCAkSbofyKFc1rndf8km118Doq_0JH4dtu_KeWbZj2iVsRf9Vq7H
agent:uhCAkXn7uk8gik-l51R3rgtGT9OqR_TMwPRHoukMHJ04Y_ZRaVLbU
agent:uhCAkvBul-xBdEz7i0f9iSBjGOnz5H-JuhIMvgofmgFLXpnE3FLPv
agent:uhCAkz4bRY3JqIV5G_GNqle9vfyLJADJGUnMlkC0wFxZyM23uvZR6
agent:uhCAk5k2O0zh8rnZcLmCfB0GGRzKvR0-_mSP8S1G64IeZTI8vICvc
agent:uhCAkSbofyKFc1rndf8km118Doq_0JH4dtu_KeWbZj2iVsRf9Vq7H
agent:uhCAkXn7uk8gik-l51R3rgtGT9OqR_TMwPRHoukMHJ04Y_ZRaVLbU
agent:uhCAkvBul-xBdEz7i0f9iSBjGOnz5H-JuhIMvgofmgFLXpnE3FLPv
agent:uhCAkz4bRY3JqIV5G_GNqle9vfyLJADJGUnMlkC0wFxZyM23uvZR6
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:uhCAkAR7zQ_-zqUNB6HMHH_Sak5TCTet3LHI3eovtkmFQVhL_aYM_
agent:uhCAkfQrGYPDjC07HvvBkiw7SRuoelYROFg2swYyf1DWx9zPpai2e
agent:uhCAkAR7zQ_-zqUNB6HMHH_Sak5TCTet3LHI3eovtkmFQVhL_aYM_
agent:uhCAkfQrGYPDjC07HvvBkiw7SRuoelYROFg2swYyf1DWx9zPpai2e
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:uhCAkv5-zVX53Zx5HMPzPeef8YW-Vc5U7YDzAfzM968A0jFYeZRdv
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:uhCAkgA5vNNvvz3iz9DvRjCsAbF12on5AJB9IkTzhTf12MmjT92cd
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:uhCAk3atp26Mvpv-mkQwAbHNVrVe50755fMal_kgCJp98ZqgaDTok
agent:uhCAkBG3pVPlfaZ5mRz0Quz74Zhx8vNnUsHuO1P1pfA4inmwyZKZL
agent:uhCAkrEy6c5RRnbSaPO_OOiQI8oaVhDDCy4r-ygOKGcl6d7RkWAFP
get_timed_local_entries zome function.agent:uhCAkIB-y5m5DrbS2eES95XWgpPjQsG_lMrmP86agJat2oISAjpew
agent:uhCAkYZsxkvJZEsyEvsc83SutJRMgxiFiJ-iZohqxwsEHqVws0pVq
agent:uhCAktR4m41tVvjpq0CXYLx8O8grBm3sRNBMfEOTd4gBCC6zZN3UJ
agent:uhCAkIB-y5m5DrbS2eES95XWgpPjQsG_lMrmP86agJat2oISAjpew
agent:uhCAkYZsxkvJZEsyEvsc83SutJRMgxiFiJ-iZohqxwsEHqVws0pVq
agent:uhCAktR4m41tVvjpq0CXYLx8O8grBm3sRNBMfEOTd4gBCC6zZN3UJ
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:uhCAk84QFY1PDlLM98KluMQPo-AQFJzNmftdSS2NImlmxjIRk7mFv
agent:uhCAkEBa5d2Vr086K0Fx4bo_L7vUf1bNQU-DIBVIasqbNrYckctii
agent:uhCAkHwKkyXulbG91aWCs4rHEY7snRotY4t8HGWa55nsTzr2NfTKG
agent:uhCAkOhU0SOoNEJXQiFFhVtC89_MELZS33QocX-tl5Lsm3V5WEhQL
agent:uhCAkZIP6HLRu2RWsCM8WDSbZ5M5x1sGezaYPVSJQQTeIORpxAze6
get_timed_local_entries zome function.agent:uhCAkPC_GUJGwKD_7kM5CWeY-priHGi8TDr4aLEn4OLcUPrMRjBEg
agent:uhCAkar8eYJldluFR006R1uz0XAokyTbjoode1XVr14uX9sI0nKH-
agent:uhCAkgAmxJ3APmaSl7BaDzpzkcp_jziqNQFGaxQmxMb_3n0PdJYI-
agent:uhCAkPC_GUJGwKD_7kM5CWeY-priHGi8TDr4aLEn4OLcUPrMRjBEg
agent:uhCAkar8eYJldluFR006R1uz0XAokyTbjoode1XVr14uX9sI0nKH-
agent:uhCAkgAmxJ3APmaSl7BaDzpzkcp_jziqNQFGaxQmxMb_3n0PdJYI-
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:uhCAkNLQl79tU9gb_WOY9yhvtDzjLsE2rbnnm_yFz-zvshC2ktNEA
agent:uhCAkSteirsatkwbJpIT5myh46HRkXu03lkEVGjut0FvgHM3mzyMA
agent:uhCAki_siKdYW7l3-4iNujlMuTufWEhi5-NpyeYLCeUw4DdbCZQ0j
agent:uhCAkm8GoTdqu_1ARaJDdvkaeMeD-O1oaSY8HUeS5tKB3BwrmsiXC
agent:uhCAkuCxlEg8TOSpSbs1uh3xXjlW8RjcngKCT-9hlKSvf5LdcQrjZ
agent:uhCAkug5uoSikqUXyZP2q9TQyikILjJIp93L7GZd-Wk0FtwgvE_ic
get_timed_local_entries zome function.agent:uhCAk0YfV5_RXQ_QctgzmeAWBcDpF3dFgkI5leGQwT9va0g6Mndbk
agent:uhCAk7h1HZwxnKi33qvPPk9yQxXIv0Wwe4ytKqYmHqdbrs_71sJtI
agent:uhCAkJUzdYTUyZiGzixhsP7IuGXZ6veObmF50YJoHKYC4GaNM9O_w
agent:uhCAkxfV3iSPnznjccTHBOIOaiDGCwSyi-ZS_hCQ3ujBoiR_1ibiq
agent:uhCAk0YfV5_RXQ_QctgzmeAWBcDpF3dFgkI5leGQwT9va0g6Mndbk
agent:uhCAk7h1HZwxnKi33qvPPk9yQxXIv0Wwe4ytKqYmHqdbrs_71sJtI
agent:uhCAkJUzdYTUyZiGzixhsP7IuGXZ6veObmF50YJoHKYC4GaNM9O_w
agent:uhCAkxfV3iSPnznjccTHBOIOaiDGCwSyi-ZS_hCQ3ujBoiR_1ibiq
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)