Add notes for 2023-03-24

content/posts/2023-03.md

@@ -455,4 +455,41 @@ $ psql dspace < /tmp/reindex.sql
   - After playing with WebP at Q82 and Q92, I see it has lower ssimulacra2 scores than JPEG Q92 for the dozen test files
   - Could it just be something with ImageMagick?
 
+## 2023-03-22
+
+- I updated csv-metadata-quality to use pandas 2.0.0rc1 and everything seems to work...?
+  - So the issues with nulls (isna) when I tried the first release candidate a few weeks ago were resolved?
+- Meeting with Jawoo and others about a "ChatGPT-like" thing for CGIAR data using CGSpace documents and metadata
+
+## 2023-03-23
+
+- Add a missing IFPRI ORCID identifier to CGSpace and tag his items on CGSpace
+- A super unscientific comparison between csv-metadata-quality's pytest regimen using Pandas 1.5.3 and Pandas 2.0.0rc1
+  - The data was gathered using [rusage](https://justine.lol/rusage), and this is the results of the last of three consecutive runs:
+
+```
+# Pandas 1.5.3
+RL: took 1,585,999µs wall time
+RL: ballooned to 272,380kb in size
+RL: needed 2,093,947µs cpu (25% kernel)
+RL: caused 55,856 page faults (100% memcpy)
+RL: 699 context switches (1% consensual)
+RL: performed 0 reads and 16 write i/o operations
+
+# Pandas 2.0.0rc1
+RL: took 1,625,718µs wall time
+RL: ballooned to 262,116kb in size
+RL: needed 2,148,425µs cpu (24% kernel)
+RL: caused 63,934 page faults (100% memcpy)
+RL: 461 context switches (2% consensual)
+RL: performed 0 reads and 16 write i/o operations
+```
+
+- So it seems that Pandas 2.0.0rc1 took ten megabytes less RAM... interesting to see that the PyArrow-backed dtypes make a measurable difference even on my small test set
+  - I should try to compare runs of larger input files
+
+## 2023-03-24
+
+- I added a Flyway SQL migration for the PNG bitstream format registry changes on DSpace 7.6
+
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