chore: upload 0.4.3 schema scripts (#278)

job: +psql_macos
job: +psql_windows

---------

Signed-off-by: usamoi <[email protected]>

Author: usamoi

Cargo.lock

@@ -36,13 +36,16 @@ pgrx-catalog = "0.2.0"
 rand.workspace = true
 seq-macro.workspace = true
 serde.workspace = true
-toml = "0.8.22"
+toml = "0.8.23"
 validator.workspace = true
 zerocopy.workspace = true
 
-[target.'cfg(all(any(target_arch = "x86_64", target_arch = "aarch64"), target_os = "linux"))'.dependencies]
+[target.'cfg(all(target_arch = "x86_64", target_os = "linux"))'.dependencies]
 jemallocator = { version = "0.5.4", features = ["disable_initial_exec_tls"] }
 
+[target.'cfg(all(target_arch = "aarch64", target_os = "linux"))'.dependencies]
+mimalloc = { version = "0.1.47", features = ["local_dynamic_tls"] }
+
 [lints]
 workspace = true
 

Cargo.toml

@@ -67,7 +67,7 @@ docker run \
   --name vectorchord-demo \
   -e POSTGRES_PASSWORD=mysecretpassword \
   -p 5432:5432 \
-  -d ghcr.io/tensorchord/vchord-postgres:pg17-v0.4.2
+  -d ghcr.io/tensorchord/vchord-postgres:pg17-v0.4.3
 ```
 > [!NOTE]
 > In addition to the base image with the VectorChord extension, we provide an all-in-one image, `tensorchord/vchord-suite:pg17-latest`. This comprehensive image includes all official TensorChord extensions, including `VectorChord`, `VectorChord-bm25` and `pg_tokenizer.rs` . Developers should select an image tag that is compatible with their extension's version, as indicated in [the support matrix](https://github.com/tensorchord/VectorChord-images?tab=readme-ov-file#support-matrix).

README.md

@@ -142,7 +142,10 @@ impl WithReader for MetaTuple {
             MAGIC => {
                 let checker = RefChecker::new(source);
                 if VERSION != *checker.prefix::<u64>(size_of::<Tag>()) {
-                    panic!("deserialization: bad version number");
+                    panic!(
+                        "deserialization: bad version number; {}",
+                        "after upgrading VectorChord, please use REINDEX to rebuild the index."
+                    );
                 }
                 let header: &MetaTupleHeader = checker.prefix(size_of::<Tag>());
                 let centroid_prefetch =

crates/algorithm/src/tuples.rs

@@ -183,11 +183,11 @@ fn compress(vector: &[f32]) -> Vec<[f32; 16]> {
         ]
     };
 
-    let (arrays, reminder) = vector.as_chunks::<4>();
+    let (arrays, remainder) = vector.as_chunks::<4>();
     let mut result = arrays.iter().copied().map(f).collect::<Vec<_>>();
-    if !reminder.is_empty() {
+    if !remainder.is_empty() {
         let mut array = [0.0; 4];
-        array[..reminder.len()].copy_from_slice(reminder);
+        array[..remainder.len()].copy_from_slice(remainder);
         result.push(f(array));
     }
     result