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Gas Profiling

The Aptos Gas Profiler is a powerful tool that can help you understand the gas usage of Aptos transactions. Once activated, it will simulate transactions using an instrumented VM, and generate a web-based report. [Sample]

The gas profiler can also double as a debugger since the report also includes a full execution trace.

Using the Gas Profiler​

The gas profiler can be invoked by appending the --profile-gas option to Aptos CLI’s move publish, move run or move run-script commands.

Here is an example using the hello_blockchain package from move examples. First, cd into the package directory.

$ cd aptos-move/move-examples/hello_blockchain

Then, we can simulate module publishing with the extra option --profile-gas.

Notice that you do need to have your CLI profile set up properly and bind the named addresses correctly. Please refer to CLI Configuration for more details.

$ aptos move publish --named-addresses hello_blockchain=default --profile-gas

This will result in some terminal output that looks like this:

Output
Compiling, may take a little while to download git dependencies...
INCLUDING DEPENDENCY AptosFramework
INCLUDING DEPENDENCY AptosStdlib
INCLUDING DEPENDENCY MoveStdlib
BUILDING Examples
package size 1755 bytes

Simulating transaction locally with the gas profiler...
{
"Result": {
"transaction_hash": "0x26cc23d11070e6756c6b2ae0ea7d3fc4c791b59cf821f268ba0f03eebb487543",
"gas_used": 1039,
"gas_unit_price": 100,
"sender": "dbcbe741d003a7369d87ec8717afb5df425977106497052f96f4e236372f7dd5",
"success": true,
"version": 762354147,
"vm_status": "status EXECUTED of type Execution"
}
}

Again, it should be emphasized that even though the live chain-state is being used, this is a simulation so the module has NOT really been published to the target network.

You can then find the generated gas report in the directory gas-profiling:

Directory Layout
- hello_blockchain
- gas-profiling
- txn-xxxxxxxx-0x1-code-publish_package_txn
- assets
- index.html
- sources
- Move.toml

index.html is the main page of the report, and you can view it in your web browser.

Understanding the Gas Report​

The gas report consists of three parts, enabling you to understand the gas usage through different lenses.

Flamegraphs​

The first section consists of visualization of the gas usage in the form of two flamegraphs: one for execution & IO, the other for storage. The reason why we need two graphs is that these are measured in different units: one in gas units, and the other in APT.

It is possible to interact with various elements in the graph. If you hover your cursor over an item, it will show you the precise cost and percentage. gas-profiling-flamegraph-0.png

If you click on an item, you can zoom into it and see the child items more clearly. You can reset the view by clicking the "Reset Zoom" button in the top-left corner. gas-profiling-flamegraph-1.png

There is also "Search" button in the top-right corner that allows to match certain items and highlight them. gas-profiling-flamegraph-2.png

Cost Break-down​

The second section is a detailed break-down of all gas costs. Data presented in this section is categorized, aggregated and sorted. This can be especially helpful if you know what numbers to look at.

For example, the following tables show the IO costs of all storage operations. The percentage here is relative to the total cost of the belonging category (Exec + IO in this case).

gas-profiling-cost-break-down-table.png

Full Execution Trace​

The final section of the gas report is the full execution trace of the transaction that looks like this:

execution & IO (gas unit, full trace)                        106.45206    100.00%
intrinsic 3.94 3.70%
0x1::code::publish_package_txn 100.02706 93.96%
move_loc 0.0024 0.00%
move_loc 0.0024 0.00%
call_generic 0.024 0.02%
0x1::util::from_bytes<0x1::code::PackageMetadata> 0.1094 0.10%
move_loc 0.0024 0.00%
call 0.064 0.06%
0x1::code::publish_package 99.82126 93.77%
call 0.02 0.02%
0x1::code::upgrade_policy_arbitrary 0.0076 0.01%
ld_u8 0.0012 0.00%
pack 0.0052 0.00%
ret 0.0012 0.00%
st_loc 0.0024 0.00%
imm_borrow_loc 0.0012 0.00%
imm_borrow_field 0.004 0.00%
imm_borrow_field 0.004 0.00%
read_ref 0.0072 0.01%
imm_borrow_loc 0.0012 0.00%
imm_borrow_field 0.004 0.00%
read_ref 0.0072 0.01%
gt 0.0032 0.00%
br_false 0.0024 0.00%
branch 0.0016 0.00%
@17
...

The left column lists all Move instructions and operations being executed, with each level of indentation indicating a function call.

The middle column represents the gas costs associated with the operations.

There is also a special notation @number that represents a jump to a particular location in the byte code. This is purely informational and to help understand the control flow.

Future Plans​

We plan to extend the gas profiler with the following features:

  • Ability to replay historical transactions that have been committed (on mainnet, testnet etc.).
  • Ability to annotate source files.

Feedbacks and feature requests are welcome! Please kindly submit them by creating GitHub issues here.