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Benchmarking resources for Automerge

This repository contains data and code for performance tests of Automerge. In particular, it contains the character-by-character editing trace of a large-ish text document, the LaTeX source of this paper. That editing trace consists of:

  • 182,315 single-character insertion operations
  • 77,463 single-character deletion operations
  • 102,049 cursor movement operations

The final text document contains 104,852 ASCII characters (= 182,315 – 77,463). We produced that editing trace by writing the entire paper in a homegrown text editor. We don't recommend actually using that editor, because it's terribly slow, and it lacks convenient features such as copy&paste.

Here is a description of each of the subdirectories of this repository:

edit-history

edit-history/paper.json.gz contains the complete editing trace of the paper in Automerge's JSON change format (the variant used on the performance branch). It contains 332,702 changes, including an initial change that creates a Text object for the text document, and a map to contain the cursors. Most changes contain just a single operation, but a few changes contain multiple operations (in particular, a character deletion and a cursor movement in the same change; this happens when the delete key was used to delete the character after the cursor).

You can use jq to inspect the operations:

  • insertions: jq -c '.ops[] | select(.insert==true)'
  • deletions: jq -c '.ops[] | select(.action=="del")'
  • cursor movements: jq -c '.ops[] | select(.obj | startswith("2@"))'

compress.js reads this editing trace, calls into the Automerge code to encode it using Automerge's binary change format, and writes out the binary-encoded data to new files.

edit-by-index

  • editing-trace.js (NB. big file: 4.5 MB) contains the editing trace as a list of calls to Array.splice (that is, each edit identifies the insertion/deletion position by index). Cursor movements are omitted. This file exports two variables: edits is an array of 259,778 one-character insertions or deletions, and finalText is a string containing the final state of the document. (Although the original document did have some concurrent editing, this trace has been flattened into a linear editing history to make things easier.)
  • baseline.js shows how to interpret the editing trace by replaying it using a normal JavaScript array (and checks that the final result is as expected). It takes about 5-6 seconds to run on Martin's laptop. That gives us an idea of how fast things could be.
  • automerge-text.js replays the editing history using Automerge.Text, with a separate change per character edit. It starts reasonably fast, but gradually grinds to a halt as the document grows. As of March 2020, on Martin's laptop, the first 10,000 operations are replayed in 1.6 s, and the first 100,000 operations in 43 s. It runs out of memory after processing 235,000 operations (using the default Node heap size, which seems to be about 1.4 GB or so).

google-realtime-api

An experiment of trying to replay the editing trace against the now-defunct Google Realtime API.

columnar

An experimental compressed binary encoding for Automerge data. See the README in this directory for details.

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Performance tests for Automerge

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