From b176c47895dfa97cd766f57e8c6eca645d67925d Mon Sep 17 00:00:00 2001
From: Dougal Dobie <ddobie@users.noreply.github.com>
Date: Wed, 22 Jan 2025 12:43:54 +1100
Subject: [PATCH] Fix measurements arrow creation and replace optimize_ints and
 optimize_floats with optimise_numeric (#797)

* Replace optimize_ints and optimize_floats with optimise_numeric

* Updated measurement arrow creation

* Added vaex dependency

* Switch from tqdmtqdm to multiprocessing

* Update dependencies

* Update process_map to starmap

* Revert to using vaex

* Added some notes for V1/2

* Updated changelog
---
 CHANGELOG.md                       |    3 +
 poetry.lock                        | 1032 +++++++++++++++++++++-------
 pyproject.toml                     |    1 +
 vast_pipeline/pipeline/finalise.py |   10 +-
 vast_pipeline/pipeline/utils.py    |  155 +++--
 vast_pipeline/utils/utils.py       |   35 +-
 6 files changed, 892 insertions(+), 344 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 46f2e91f9..316400866 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -13,6 +13,8 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 
 #### Changed
 
+- Upgrade measurements file generation to use dask in order to handle larger runs [#789](https://github.com/askap-vast/vast-pipeline/pull/797)
+- Replaced optimise_ints and optimise_floats with single function - optimise_numeric [#789](https://github.com/askap-vast/vast-pipeline/pull/797)
 - Upgrade forced_phot dependency to v0.2 and force `use_numba=True` [#788](https://github.com/askap-vast/vast-pipeline/pull/788)
 - Remove bad forced photometry fits immediately after calculation, rather than after they've all been compiled into a single dataframe [#788](https://github.com/askap-vast/vast-pipeline/pull/788)
 - Optimise associations upload by dropping unnecessary columns prior to a large dataframe merge [#787](https://github.com/askap-vast/vast-pipeline/pull/787)
@@ -30,6 +32,7 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 
 #### List of PRs
 
+- [#789](https://github.com/askap-vast/vast-pipeline/pull/797): feat: Convert measurements.arrow generation to use dask, and combine optimise_ints/floats to optimise_numeric
 - [#795](https://github.com/askap-vast/vast-pipeline/pull/795): fix: Fixed outdated jupyterhub link on pipeline website
 - [#788](https://github.com/askap-vast/vast-pipeline/pull/788): feat, fix: Speed up forced fitting code by using numba-fied forced_phot code and reordering some calculations
 - [#787](https://github.com/askap-vast/vast-pipeline/pull/787): fix: Optimise associations merge and minor variable name updates
diff --git a/poetry.lock b/poetry.lock
index 4bef8b12b..8ac61f952 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,5 +1,19 @@
 # This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
+]
+
+[package.dependencies]
+typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
+
 [[package]]
 name = "ansicon"
 version = "1.89.0"
@@ -11,6 +25,16 @@ files = [
     {file = "ansicon-1.89.0.tar.gz", hash = "sha256:e4d039def5768a47e4afec8e89e83ec3ae5a26bf00ad851f914d1240b444d2b1"},
 ]
 
+[[package]]
+name = "aplus"
+version = "0.11.0"
+description = "UNKNOWN"
+optional = false
+python-versions = "*"
+files = [
+    {file = "aplus-0.11.0.tar.gz", hash = "sha256:4f57025413bd9611fb54782b8f46946ea874ae7bb6dd876c0ec45c6a8d60f6e7"},
+]
+
 [[package]]
 name = "appdirs"
 version = "1.4.4"
@@ -164,19 +188,19 @@ wheel = ">=0.23.0,<1.0"
 
 [[package]]
 name = "attrs"
-version = "24.2.0"
+version = "24.3.0"
 description = "Classes Without Boilerplate"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"},
-    {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"},
+    {file = "attrs-24.3.0-py3-none-any.whl", hash = "sha256:ac96cd038792094f438ad1f6ff80837353805ac950cd2aa0e0625ef19850c308"},
+    {file = "attrs-24.3.0.tar.gz", hash = "sha256:8f5c07333d543103541ba7be0e2ce16eeee8130cb0b3f9238ab904ce1e85baff"},
 ]
 
 [package.extras]
 benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
 tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
@@ -342,6 +366,100 @@ typing-extensions = ">=3.7.4"
 colorama = ["colorama (>=0.4.3)"]
 d = ["aiohttp (>=3.3.2)", "aiohttp-cors"]
 
+[[package]]
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+version = "1.0.2"
+description = "Python bindings for the Rust blake3 crate"
+optional = false
+python-versions = "*"
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 version = "6.1.0"
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 [[package]]
 name = "certifi"
-version = "2024.8.30"
+version = "2024.12.14"
 description = "Python package for providing Mozilla's CA Bundle."
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 [[package]]
 name = "click"
-version = "8.1.7"
+version = "8.1.8"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1101,13 +1206,13 @@ typing-extensions = "*"
 
 [[package]]
 name = "django-stubs-ext"
-version = "5.1.1"
+version = "5.1.2"
 description = "Monkey-patching and extensions for django-stubs"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1157,6 +1262,22 @@ files = [
 [package.dependencies]
 djangorestframework = ">=3.5.0"
 
+[[package]]
+name = "filelock"
+version = "3.16.1"
+description = "A platform independent file lock."
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.extras]
+docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4.1)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"]
+typing = ["typing-extensions (>=4.12.2)"]
+
 [[package]]
 name = "flake8"
 version = "3.9.2"
@@ -1175,61 +1296,61 @@ pyflakes = ">=2.3.0,<2.4.0"
 
 [[package]]
 name = "fonttools"
-version = "4.55.0"
+version = "4.55.3"
 description = "Tools to manipulate font files"
 optional = false
 python-versions = ">=3.8"
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 reference = "v0.2.0"
 resolved_reference = "6652dec9326437fc68961f87e04b451ae33f7871"
 
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+    {file = "frozendict-2.4.6.tar.gz", hash = "sha256:df7cd16470fbd26fc4969a208efadc46319334eb97def1ddf48919b351192b8e"},
+]
+
 [[package]]
 name = "fsspec"
-version = "2024.10.0"
+version = "2024.12.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fsspec-2024.10.0-py3-none-any.whl", hash = "sha256:03b9a6785766a4de40368b88906366755e2819e758b83705c88cd7cb5fe81871"},
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+    {file = "fsspec-2024.12.0.tar.gz", hash = "sha256:670700c977ed2fb51e0d9f9253177ed20cbde4a3e5c0283cc5385b5870c8533f"},
 ]
 
 [package.extras]
@@ -1307,6 +1476,17 @@ test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,
 test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
 tqdm = ["tqdm"]
 
+[[package]]
+name = "future"
+version = "1.0.0"
+description = "Clean single-source support for Python 3 and 2"
+optional = false
+python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+files = [
+    {file = "future-1.0.0-py3-none-any.whl", hash = "sha256:929292d34f5872e70396626ef385ec22355a1fae8ad29e1a734c3e43f9fbc216"},
+    {file = "future-1.0.0.tar.gz", hash = "sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05"},
+]
+
 [[package]]
 name = "gevent"
 version = "21.12.0"
@@ -1382,13 +1562,13 @@ dev = ["flake8", "markdown", "twine", "wheel"]
 
 [[package]]
 name = "gitdb"
-version = "4.0.11"
+version = "4.0.12"
 description = "Git Object Database"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "gitdb-4.0.11-py3-none-any.whl", hash = "sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4"},
-    {file = "gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b"},
+    {file = "gitdb-4.0.12-py3-none-any.whl", hash = "sha256:67073e15955400952c6565cc3e707c554a4eea2e428946f7a4c162fab9bd9bcf"},
+    {file = "gitdb-4.0.12.tar.gz", hash = "sha256:5ef71f855d191a3326fcfbc0d5da835f26b13fbcba60c32c21091c349ffdb571"},
 ]
 
 [package.dependencies]
@@ -1396,20 +1576,20 @@ smmap = ">=3.0.1,<6"
 
 [[package]]
 name = "gitpython"
-version = "3.1.43"
+version = "3.1.44"
 description = "GitPython is a Python library used to interact with Git repositories"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "GitPython-3.1.43-py3-none-any.whl", hash = "sha256:eec7ec56b92aad751f9912a73404bc02ba212a23adb2c7098ee668417051a1ff"},
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+    {file = "GitPython-3.1.44-py3-none-any.whl", hash = "sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110"},
+    {file = "gitpython-3.1.44.tar.gz", hash = "sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269"},
 ]
 
 [package.dependencies]
 gitdb = ">=4.0.1,<5"
 
 [package.extras]
-doc = ["sphinx (==4.3.2)", "sphinx-autodoc-typehints", "sphinx-rtd-theme", "sphinxcontrib-applehelp (>=1.0.2,<=1.0.4)", "sphinxcontrib-devhelp (==1.0.2)", "sphinxcontrib-htmlhelp (>=2.0.0,<=2.0.1)", "sphinxcontrib-qthelp (==1.0.3)", "sphinxcontrib-serializinghtml (==1.1.5)"]
+doc = ["sphinx (>=7.1.2,<7.2)", "sphinx-autodoc-typehints", "sphinx_rtd_theme"]
 test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "typing-extensions"]
 
 [[package]]
@@ -1832,13 +2012,13 @@ trio = ["async_generator", "trio"]
 
 [[package]]
 name = "jinja2"
-version = "3.1.4"
+version = "3.1.5"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"},
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+    {file = "jinja2-3.1.5-py3-none-any.whl", hash = "sha256:aba0f4dc9ed8013c424088f68a5c226f7d6097ed89b246d7749c2ec4175c6adb"},
+    {file = "jinja2-3.1.5.tar.gz", hash = "sha256:8fefff8dc3034e27bb80d67c671eb8a9bc424c0ef4c0826edbff304cceff43bb"},
 ]
 
 [package.dependencies]
@@ -2099,6 +2279,30 @@ importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
 [package.extras]
 testing = ["coverage", "pyyaml"]
 
+[[package]]
+name = "markdown-it-py"
+version = "3.0.0"
+description = "Python port of markdown-it. Markdown parsing, done right!"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"},
+]
+
+[package.dependencies]
+mdurl = ">=0.1,<1.0"
+
+[package.extras]
+benchmarking = ["psutil", "pytest", "pytest-benchmark"]
+code-style = ["pre-commit (>=3.0,<4.0)"]
+compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"]
+linkify = ["linkify-it-py (>=1,<3)"]
+plugins = ["mdit-py-plugins"]
+profiling = ["gprof2dot"]
+rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"]
+testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
+
 [[package]]
 name = "markupsafe"
 version = "2.1.5"
@@ -2261,6 +2465,17 @@ files = [
     {file = "mccabe-0.6.1.tar.gz", hash = "sha256:dd8d182285a0fe56bace7f45b5e7d1a6ebcbf524e8f3bd87eb0f125271b8831f"},
 ]
 
+[[package]]
+name = "mdurl"
+version = "0.1.2"
+description = "Markdown URL utilities"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
+    {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
+]
+
 [[package]]
 name = "mergedeep"
 version = "1.3.4"
@@ -2389,13 +2604,13 @@ mkdocs = ">=1.0"
 
 [[package]]
 name = "mkdocs-material"
-version = "9.5.45"
+version = "9.5.49"
 description = "Documentation that simply works"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "mkdocs_material-9.5.45-py3-none-any.whl", hash = "sha256:a9be237cfd0be14be75f40f1726d83aa3a81ce44808dc3594d47a7a592f44547"},
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+    {file = "mkdocs_material-9.5.49-py3-none-any.whl", hash = "sha256:c3c2d8176b18198435d3a3e119011922f3e11424074645c24019c2dcf08a360e"},
+    {file = "mkdocs_material-9.5.49.tar.gz", hash = "sha256:3671bb282b4f53a1c72e08adbe04d2481a98f85fed392530051f80ff94a9621d"},
 ]
 
 [package.dependencies]
@@ -2562,6 +2777,17 @@ files = [
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 ]
 
+[[package]]
+name = "nest-asyncio"
+version = "1.6.0"
+description = "Patch asyncio to allow nested event loops"
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c"},
+    {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"},
+]
+
 [[package]]
 name = "networkx"
 version = "2.8.8"
@@ -2995,6 +3221,24 @@ docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.0.2)", "sphinx-a
 test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.2)", "pytest-cov (>=5)", "pytest-mock (>=3.14)"]
 type = ["mypy (>=1.11.2)"]
 
+[[package]]
+name = "progressbar2"
+version = "4.2.0"
+description = "A Python Progressbar library to provide visual (yet text based) progress to long running operations."
+optional = false
+python-versions = ">=3.7.0"
+files = [
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+    {file = "progressbar2-4.2.0.tar.gz", hash = "sha256:1393922fcb64598944ad457569fbeb4b3ac189ef50b5adb9cef3284e87e394ce"},
+]
+
+[package.dependencies]
+python-utils = ">=3.0.0"
+
+[package.extras]
+docs = ["sphinx (>=1.8.5)"]
+tests = ["flake8 (>=3.7.7)", "freezegun (>=0.3.11)", "pytest (>=4.6.9)", "pytest-cov (>=2.6.1)", "pytest-mypy", "sphinx (>=1.8.5)"]
+
 [[package]]
 name = "prompt-toolkit"
 version = "3.0.48"
@@ -3175,6 +3419,138 @@ cmd = ["pyyaml", "requests"]
 doc = ["nbsite", "sphinx-ioam-theme"]
 tests = ["flake8", "pytest"]
 
+[[package]]
+name = "pydantic"
+version = "2.10.5"
+description = "Data validation using Python type hints"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "pydantic-2.10.5.tar.gz", hash = "sha256:278b38dbbaec562011d659ee05f63346951b3a248a6f3642e1bc68894ea2b4ff"},
+]
+
+[package.dependencies]
+annotated-types = ">=0.6.0"
+pydantic-core = "2.27.2"
+typing-extensions = ">=4.12.2"
+
+[package.extras]
+email = ["email-validator (>=2.0.0)"]
+timezone = ["tzdata"]
+
+[[package]]
+name = "pydantic-core"
+version = "2.27.2"
+description = "Core functionality for Pydantic validation and serialization"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "pyOpenSSL-25.0.0-py3-none-any.whl", hash = "sha256:424c247065e46e76a37411b9ab1782541c23bb658bf003772c3405fbaa128e90"},
+    {file = "pyopenssl-25.0.0.tar.gz", hash = "sha256:cd2cef799efa3936bb08e8ccb9433a575722b9dd986023f1cabc4ae64e9dac16"},
 ]
 
 [package.dependencies]
-cryptography = ">=41.0.5,<44"
+cryptography = ">=41.0.5,<45"
+typing-extensions = {version = ">=4.9", markers = "python_version < \"3.13\" and python_version >= \"3.8\""}
 
 [package.extras]
-docs = ["sphinx (!=5.2.0,!=5.2.0.post0,!=7.2.5)", "sphinx-rtd-theme"]
+docs = ["sphinx (!=5.2.0,!=5.2.0.post0,!=7.2.5)", "sphinx_rtd_theme"]
 test = ["pretend", "pytest (>=3.0.1)", "pytest-rerunfailures"]
 
 [[package]]
@@ -3347,6 +3724,22 @@ files = [
 [package.dependencies]
 six = ">=1.5"
 
+[[package]]
+name = "python-utils"
+version = "3.5.2"
+description = "Python Utils is a module with some convenient utilities not included with the standard Python install"
+optional = false
+python-versions = ">3.6.0"
+files = [
+    {file = "python-utils-3.5.2.tar.gz", hash = "sha256:68198854fc276bc4b2403b261703c218e01ef564dcb072a7096ed9ea7aa5130c"},
+    {file = "python_utils-3.5.2-py2.py3-none-any.whl", hash = "sha256:8bfefc3430f1c48408fa0e5958eee51d39840a5a987c2181a579e99ab6fe5ca6"},
+]
+
+[package.extras]
+docs = ["mock", "python-utils", "sphinx"]
+loguru = ["loguru"]
+tests = ["flake8", "loguru", "pytest", "pytest-asyncio", "pytest-cov", "pytest-mypy", "sphinx", "types-setuptools"]
+
 [[package]]
 name = "python3-openid"
 version = "3.2.0"
@@ -3378,13 +3771,13 @@ files = [
 
 [[package]]
 name = "pyviz-comms"
-version = "3.0.3"
+version = "3.0.4"
 description = "A JupyterLab extension for rendering HoloViz content."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pyviz_comms-3.0.3-py3-none-any.whl", hash = "sha256:fd26951eebc7950106d481655d91ba06296d4cf352dffb1d03f88f959832448e"},
-    {file = "pyviz_comms-3.0.3.tar.gz", hash = "sha256:fde4a017c2213ecee63a9a6741431c845e42a5c7b1588e4a7ba2e4370c583728"},
+    {file = "pyviz_comms-3.0.4-py3-none-any.whl", hash = "sha256:a40d17db26ec13cf975809633804e712bd24b473e77388c193c44043f85d0b25"},
+    {file = "pyviz_comms-3.0.4.tar.gz", hash = "sha256:d70e17555f7262c4884a6b7bc9ca19cb816507a032a334d9cb411b4546caff4c"},
 ]
 
 [package.dependencies]
@@ -3658,6 +4051,25 @@ requests = ">=2.0.0"
 [package.extras]
 rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
 
+[[package]]
+name = "rich"
+version = "13.9.4"
+description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
+optional = false
+python-versions = ">=3.8.0"
+files = [
+    {file = "rich-13.9.4-py3-none-any.whl", hash = "sha256:6049d5e6ec054bf2779ab3358186963bac2ea89175919d699e378b99738c2a90"},
+    {file = "rich-13.9.4.tar.gz", hash = "sha256:439594978a49a09530cff7ebc4b5c7103ef57baf48d5ea3184f21d9a2befa098"},
+]
+
+[package.dependencies]
+markdown-it-py = ">=2.2.0"
+pygments = ">=2.13.0,<3.0.0"
+typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.11\""}
+
+[package.extras]
+jupyter = ["ipywidgets (>=7.5.1,<9)"]
+
 [[package]]
 name = "rope"
 version = "0.18.0"
@@ -3770,24 +4182,24 @@ type = ["importlib-metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.12
 
 [[package]]
 name = "six"
-version = "1.16.0"
+version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 files = [
-    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
-    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
+    {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
+    {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
 ]
 
 [[package]]
 name = "smmap"
-version = "5.0.1"
+version = "5.0.2"
 description = "A pure Python implementation of a sliding window memory map manager"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "smmap-5.0.1-py3-none-any.whl", hash = "sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da"},
-    {file = "smmap-5.0.1.tar.gz", hash = "sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62"},
+    {file = "smmap-5.0.2-py3-none-any.whl", hash = "sha256:b30115f0def7d7531d22a0fb6502488d879e75b260a9db4d0819cfb25403af5e"},
+    {file = "smmap-5.0.2.tar.gz", hash = "sha256:26ea65a03958fa0c8a1c7e8c7a58fdc77221b8910f6be2131affade476898ad5"},
 ]
 
 [[package]]
@@ -3926,13 +4338,13 @@ sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
 name = "sqlparse"
-version = "0.5.2"
+version = "0.5.3"
 description = "A non-validating SQL parser."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "sqlparse-0.5.2-py3-none-any.whl", hash = "sha256:e99bc85c78160918c3e1d9230834ab8d80fc06c59d03f8db2618f65f65dda55e"},
-    {file = "sqlparse-0.5.2.tar.gz", hash = "sha256:9e37b35e16d1cc652a2545f0997c1deb23ea28fa1f3eefe609eee3063c3b105f"},
+    {file = "sqlparse-0.5.3-py3-none-any.whl", hash = "sha256:cf2196ed3418f3ba5de6af7e82c694a9fbdbfecccdfc72e281548517081f16ca"},
+    {file = "sqlparse-0.5.3.tar.gz", hash = "sha256:09f67787f56a0b16ecdbde1bfc7f5d9c3371ca683cfeaa8e6ff60b4807ec9272"},
 ]
 
 [package.extras]
@@ -3980,13 +4392,43 @@ files = [
 
 [[package]]
 name = "tomli"
-version = "2.1.0"
+version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
+    {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"},
+    {file = "tomli-2.2.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ece47d672db52ac607a3d9599a9d48dcb2f2f735c6c2d1f34130085bb12b112a"},
+    {file = "tomli-2.2.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6972ca9c9cc9f0acaa56a8ca1ff51e7af152a9f87fb64623e31d5c83700080ee"},
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+    {file = "tomli-2.2.1-cp313-cp313-win32.whl", hash = "sha256:d3f5614314d758649ab2ab3a62d4f2004c825922f9e370b29416484086b264ec"},
+    {file = "tomli-2.2.1-cp313-cp313-win_amd64.whl", hash = "sha256:a38aa0308e754b0e3c67e344754dff64999ff9b513e691d0e786265c93583c69"},
+    {file = "tomli-2.2.1-py3-none-any.whl", hash = "sha256:cb55c73c5f4408779d0cf3eef9f762b9c9f147a77de7b258bef0a5628adc85cc"},
+    {file = "tomli-2.2.1.tar.gz", hash = "sha256:cd45e1dc79c835ce60f7404ec8119f2eb06d38b1deba146f07ced3bbc44505ff"},
 ]
 
 [[package]]
@@ -4022,20 +4464,20 @@ files = [
 
 [[package]]
 name = "tqdm"
-version = "4.67.0"
+version = "4.67.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.67.0-py3-none-any.whl", hash = "sha256:0cd8af9d56911acab92182e88d763100d4788bdf421d251616040cc4d44863be"},
-    {file = "tqdm-4.67.0.tar.gz", hash = "sha256:fe5a6f95e6fe0b9755e9469b77b9c3cf850048224ecaa8293d7d2d31f97d869a"},
+    {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
+    {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
 ]
 
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
-dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
+dev = ["nbval", "pytest (>=6)", "pytest-asyncio (>=0.24)", "pytest-cov", "pytest-timeout"]
 discord = ["requests"]
 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
@@ -4058,13 +4500,13 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
 
 [[package]]
 name = "twisted"
-version = "24.10.0"
+version = "24.11.0"
 description = "An asynchronous networking framework written in Python"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "twisted-24.10.0-py3-none-any.whl", hash = "sha256:67aa7c8aa94387385302acf44ade12967c747858c8bcce0f11d38077a11c5326"},
-    {file = "twisted-24.10.0.tar.gz", hash = "sha256:02951299672595fea0f70fa2d5f7b5e3d56836157eda68859a6ad6492d36756e"},
+    {file = "twisted-24.11.0-py3-none-any.whl", hash = "sha256:fe403076c71f04d5d2d789a755b687c5637ec3bcd3b2b8252d76f2ba65f54261"},
+    {file = "twisted-24.11.0.tar.gz", hash = "sha256:695d0556d5ec579dcc464d2856b634880ed1319f45b10d19043f2b57eb0115b5"},
 ]
 
 [package.dependencies]
@@ -4162,35 +4604,35 @@ files = [
 
 [[package]]
 name = "types-python-dateutil"
-version = "2.9.0.20241003"
+version = "2.9.0.20241206"
 description = "Typing stubs for python-dateutil"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "types-python-dateutil-2.9.0.20241003.tar.gz", hash = "sha256:58cb85449b2a56d6684e41aeefb4c4280631246a0da1a719bdbe6f3fb0317446"},
-    {file = "types_python_dateutil-2.9.0.20241003-py3-none-any.whl", hash = "sha256:250e1d8e80e7bbc3a6c99b907762711d1a1cdd00e978ad39cb5940f6f0a87f3d"},
+    {file = "types_python_dateutil-2.9.0.20241206-py3-none-any.whl", hash = "sha256:e248a4bc70a486d3e3ec84d0dc30eec3a5f979d6e7ee4123ae043eedbb987f53"},
+    {file = "types_python_dateutil-2.9.0.20241206.tar.gz", hash = "sha256:18f493414c26ffba692a72369fea7a154c502646301ebfe3d56a04b3767284cb"},
 ]
 
 [[package]]
 name = "types-pytz"
-version = "2024.2.0.20241003"
+version = "2024.2.0.20241221"
 description = "Typing stubs for pytz"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "types-pytz-2024.2.0.20241003.tar.gz", hash = "sha256:575dc38f385a922a212bac00a7d6d2e16e141132a3c955078f4a4fd13ed6cb44"},
-    {file = "types_pytz-2024.2.0.20241003-py3-none-any.whl", hash = "sha256:3e22df1336c0c6ad1d29163c8fda82736909eb977281cb823c57f8bae07118b7"},
+    {file = "types_pytz-2024.2.0.20241221-py3-none-any.whl", hash = "sha256:8fc03195329c43637ed4f593663df721fef919b60a969066e22606edf0b53ad5"},
+    {file = "types_pytz-2024.2.0.20241221.tar.gz", hash = "sha256:06d7cde9613e9f7504766a0554a270c369434b50e00975b3a4a0f6eed0f2c1a9"},
 ]
 
 [[package]]
 name = "types-pyyaml"
-version = "6.0.12.20240917"
+version = "6.0.12.20241230"
 description = "Typing stubs for PyYAML"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "types-PyYAML-6.0.12.20240917.tar.gz", hash = "sha256:d1405a86f9576682234ef83bcb4e6fff7c9305c8b1fbad5e0bcd4f7dbdc9c587"},
-    {file = "types_PyYAML-6.0.12.20240917-py3-none-any.whl", hash = "sha256:392b267f1c0fe6022952462bf5d6523f31e37f6cea49b14cee7ad634b6301570"},
+    {file = "types_PyYAML-6.0.12.20241230-py3-none-any.whl", hash = "sha256:fa4d32565219b68e6dee5f67534c722e53c00d1cfc09c435ef04d7353e1e96e6"},
+    {file = "types_pyyaml-6.0.12.20241230.tar.gz", hash = "sha256:7f07622dbd34bb9c8b264fe860a17e0efcad00d50b5f27e93984909d9363498c"},
 ]
 
 [[package]]
@@ -4221,6 +4663,62 @@ h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
+[[package]]
+name = "vaex-core"
+version = "4.17.1"
+description = "Core of vaex"
+optional = false
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+    {file = "zope.interface-7.2.tar.gz", hash = "sha256:8b49f1a3d1ee4cdaf5b32d2e738362c7f5e40ac8b46dd7d1a65e82a4872728fe"},
 ]
 
 [package.dependencies]
@@ -4453,4 +4951,4 @@ prod = ["gevent", "gunicorn"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.0,<3.11"
-content-hash = "c3596bd285183135e06121fe3e9185433f63b09899b38309d79ecdb337f48527"
+content-hash = "331033fb1d016960336aa8ad502bb9e11996a29af936afc8e695ada61e7dc38a"
diff --git a/pyproject.toml b/pyproject.toml
index 9692b9dcf..0c0335432 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -42,6 +42,7 @@ holoviews = "^1.14.7"
 datashader = "^0.14"
 channels = "^3.0.4"
 param = "<2.0.0"
+vaex-core = "^4.17.1"
 
 [tool.poetry.dev-dependencies]
 mkdocs-material = "^9.4"
diff --git a/vast_pipeline/pipeline/finalise.py b/vast_pipeline/pipeline/finalise.py
index 3c48b8aea..6971ba96a 100644
--- a/vast_pipeline/pipeline/finalise.py
+++ b/vast_pipeline/pipeline/finalise.py
@@ -8,7 +8,7 @@
 from typing import List, Dict, Tuple
 
 from vast_pipeline.models import Run
-from vast_pipeline.utils.utils import StopWatch, optimize_floats, optimize_ints
+from vast_pipeline.utils.utils import StopWatch, optimise_numeric
 from vast_pipeline.pipeline.loading import (
     make_upload_associations, make_upload_sources, make_upload_related_sources,
     update_sources
@@ -393,11 +393,9 @@ def final_operations(
         )
 
         # optimize measurement pair DataFrame and save to parquet file
-        measurement_pairs_df = optimize_ints(
-            optimize_floats(
-                measurement_pairs_df.drop(columns=["source"]).rename(
-                    columns={"id_a": "meas_id_a", "id_b": "meas_id_b"}
-                )
+        measurement_pairs_df = optimise_numeric(
+            measurement_pairs_df.drop(columns=["source"]).rename(
+                columns={"id_a": "meas_id_a", "id_b": "meas_id_b"}
             )
         )
         measurement_pairs_df.to_parquet(
diff --git a/vast_pipeline/pipeline/utils.py b/vast_pipeline/pipeline/utils.py
index fa704ae14..593d34d72 100644
--- a/vast_pipeline/pipeline/utils.py
+++ b/vast_pipeline/pipeline/utils.py
@@ -13,18 +13,23 @@
 import astropy.units as u
 import dask
 import dask.dataframe as dd
+import dask.config as dc
 import psutil
+import tempfile
+import vaex
+import itertools
 
 from typing import Any, List, Optional, Dict, Tuple, Union
 from astropy.coordinates import SkyCoord, Angle
 from django.conf import settings
 from django.contrib.auth.models import User
 from itertools import chain
+from multiprocessing import Pool
 
 from vast_pipeline.image.main import FitsImage, SelavyImage
 from vast_pipeline.image.utils import open_fits
 from vast_pipeline.utils.utils import (
-    eq_to_cart, StopWatch, optimize_ints, optimize_floats,
+    eq_to_cart, StopWatch, optimise_numeric,
     calculate_workers_and_partitions
 )
 from vast_pipeline.models import (
@@ -1318,8 +1323,60 @@ def get_parallel_assoc_image_df(
 
     return images_df
 
+def _process_measurements_file(m_file: str,
+                               i: int,
+                               out_dir: str,
+                               associations: pd.DataFrame
+                               ) -> None:
+    """
+    Process an individual measurements file and output as a single partition
+    
+    Args:
+        m_file: Path to measurements file.
+        i: Measurements file index.
+        out_dir: Path to directory containing parquet partitions
+        associations: Associations dataframe
+    
+    Returns:
+        None
+    """
+    measurements = pd.read_parquet(m_file, engine='pyarrow')
+    
+    # Memory blows up and everything is slow if we try and do a full merge.
+    # Instead, pull out the indices that are in both dfs and then merge those.
+    associations_merge = associations[associations.index.isin(measurements['id'])]
+    measurements = measurements.loc[
+        measurements['id'].isin(associations_merge.index)
+    ]
+    
+    # drop timezone from datetime for vaex compatibility. V2 NOTE - remove
+    measurements['time'] = measurements['time'].dt.tz_localize(None)
+    
+    measurements = optimise_numeric(measurements)
+    measurements = measurements.merge(associations_merge, right_index=True, left_on='id', how="inner").rename(columns={'source_id': 'source'})
+    
+    partition_file = os.path.join(out_dir, f'part.{i}.parquet')
+    measurements.to_parquet(partition_file, index=False)
+
+def _repartition_measurements(in_file: str, out_file: str) -> None:
+    """"
+    Repartition the combined measurements file to be indexed by source id
+    
+    Args:
+        in_file: path to parquet file to be repartitioned.
+        out_file: path to parquet file to be written.
+    Returns:
+        None
+    """
+
+    # Using large datasets, so need to do the shuffling on disk
+    with dc.set(shuffle='disk'):
+        dask_df = dd.read_parquet(in_file).repartition(partition_size="100MB")
+        dask_df = dask_df.set_index('source', drop=True)
+        dask_df = dask_df.repartition(partition_size="100MB")
+        dask_df.to_parquet(out_file)
 
-def create_measurements_arrow_file(p_run: Run) -> None:
+def create_measurements_arrow_file(p_run: Run, max_workers: Optional[int] =10) -> None:
     """
     Creates a measurements.arrow file using the parquet outputs
     of a pipeline run.
@@ -1327,68 +1384,80 @@ def create_measurements_arrow_file(p_run: Run) -> None:
     Args:
         p_run:
             Pipeline model instance.
+        max_workers:
+            Maximum number of workers to use when processing
+            individual partitions. Defaults to 10.
 
     Returns:
         None
     """
     logger.info('Creating measurements.arrow for run %s.', p_run.name)
+    
+    p_run_path = p_run.path
+    arrow_file = os.path.join(p_run_path, 'measurements.arrow')
+    logger.info("Will write to final arrow file to %s.", arrow_file)
+    
+    # V2 NOTE - the repartitioned data will be the final data product.
+    # Need to scrap arrow_file and change the repartitioned file to measurements.parquet
+    processed_temp = tempfile.TemporaryDirectory()
+    repartitioned_temp = tempfile.TemporaryDirectory()
+    logger.debug("But in the meantime, writing temporary data to %s and %s",
+                 processed_temp.name,
+                 repartitioned_temp.name
+                 )
 
-    associations = pd.read_parquet(
-        os.path.join(
-            p_run.path,
-            'associations.parquet'
-        )
-    )
     images = pd.read_parquet(
         os.path.join(
-            p_run.path,
+            p_run_path,
             'images.parquet'
-        )
+        ),
+        columns=['measurements_path']
     )
-
     m_files = images['measurements_path'].tolist()
+    del images
 
     m_files += glob.glob(os.path.join(
-        p_run.path,
+        p_run_path,
         'forced*.parquet'
     ))
 
-    logger.debug('Loading %i files...', len(m_files))
-    measurements = dd.read_parquet(m_files, engine='pyarrow').compute()
+    logger.debug("Will create measurements from %i files...", len(m_files))
 
-    measurements = measurements.loc[
-        measurements['id'].isin(associations['meas_id'].values)
-    ]
-
-    measurements = (
-        associations.loc[:, ['meas_id', 'source_id']]
-        .set_index('meas_id')
-        .merge(
-            measurements,
-            left_index=True,
-            right_on='id'
+    associations = dd.read_parquet(
+        os.path.join(
+            p_run_path,
+            'associations.parquet'
+        ),
+        columns=['source_id'],
+        index='meas_id'
+    ).compute()
+    
+    logger.debug("Processing %d partitions with %d workers", len(m_files), max_workers)
+
+    
+    with Pool(max_workers) as pool:
+        iterable_arg = zip(
+            m_files,
+            range(len(m_files)),
+            itertools.repeat(processed_temp.name),
+            itertools.repeat(associations),
         )
-        .rename(columns={'source_id': 'source'})
-    )
+        pool.starmap(_process_measurements_file, iterable_arg)
+    
+    logger.debug("Repartitioning dataframe")
+    _repartition_measurements(processed_temp.name, repartitioned_temp.name)
 
-    # drop timezone from datetime for vaex compatibility
-    # TODO: Look to keep the timezone if/when vaex is compatible.
-    measurements['time'] = measurements['time'].dt.tz_localize(None)
+    logger.debug("Opening and exporting in vaex")
 
-    logger.debug('Optimising dataframes.')
-    measurements = optimize_ints(optimize_floats(measurements))
+    # V2 NOTE - remove in V2
+    vaex_df = vaex.open(repartitioned_temp.name)
+    vaex_df.export(arrow_file)
 
-    logger.debug("Loading to pyarrow table.")
-    measurements = pa.Table.from_pandas(measurements)
+    logger.debug("Cleaning up temporary data")
+    repartitioned_temp.cleanup()
+    processed_temp.cleanup()
 
-    logger.debug("Exporting to arrow file.")
-    outname = os.path.join(p_run.path, 'measurements.arrow')
-
-    local = pa.fs.LocalFileSystem()
-
-    with local.open_output_stream(outname) as file:
-        with pa.RecordBatchFileWriter(file, measurements.schema) as writer:
-            writer.write_table(measurements)
+    logger.debug("Done.")
 
 
 def create_measurement_pairs_arrow_file(p_run: Run) -> None:
@@ -1413,7 +1482,7 @@ def create_measurement_pairs_arrow_file(p_run: Run) -> None:
     )
 
     logger.debug('Optimising dataframe.')
-    measurement_pairs_df = optimize_ints(optimize_floats(measurement_pairs_df))
+    measurement_pairs_df = optimise_numeric(measurement_pairs_df)
 
     logger.debug("Loading to pyarrow table.")
     measurement_pairs_df = pa.Table.from_pandas(measurement_pairs_df)
diff --git a/vast_pipeline/utils/utils.py b/vast_pipeline/utils/utils.py
index e06e95029..03781ae5e 100644
--- a/vast_pipeline/utils/utils.py
+++ b/vast_pipeline/utils/utils.py
@@ -308,43 +308,22 @@ def parse_coord(coord_string: str, coord_frame: str = "icrs") -> SkyCoord:
     return coord
 
 
-def optimize_floats(df: pd.DataFrame) -> pd.DataFrame:
+def optimise_numeric(df):
     """
-    Downcast float columns in a pd.DataFrame to the smallest
+    Downcast integer and float columns in a pd.DataFrame to the smallest
     data type without losing any information.
 
-    Credit to Robbert van der Gugten.
-
-    Args:
-        df:
-            input dataframe, no specific columns.
-
-    Returns:
-        The input dataframe with the `float64` type columns downcasted.
-    """
-    floats = df.select_dtypes(include=["float64"]).columns.tolist()
-    df[floats] = df[floats].apply(pd.to_numeric, downcast="float")
-
-    return df
-
-
-def optimize_ints(df: pd.DataFrame) -> pd.DataFrame:
-    """
-    Downcast integer columns in a pd.DataFrame to the smallest
-    data type without losing any information.
-
-    Credit to Robbert van der Gugten.
-
     Args:
         df:
             Input dataframe, no specific columns.
 
     Returns:
-        The input dataframe with the `int64` type columns downcasted.
+        The input dataframe with the `int64` and `float64` columns downcasted.
     """
-    ints = df.select_dtypes(include=["int64"]).columns.tolist()
-    df[ints] = df[ints].apply(pd.to_numeric, downcast="integer")
-
+    for col in df.select_dtypes(include=["float64"]).columns:
+        df[col] = df[col].apply(pd.to_numeric, downcast="float")
+    for col in df.select_dtypes(include=["int64"]).columns:
+        df[col] = df[col].apply(pd.to_numeric, downcast="integer")
     return df