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Fjall #64

Merged
merged 6 commits into from
Nov 2, 2024
Merged

Fjall #64

merged 6 commits into from
Nov 2, 2024

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cncases
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@cncases cncases commented Oct 25, 2024

Database Migration from RocksDB to Fjall

Thanks to @marvin-j97 for his excellent work on Fjall and for his patience during debugging.

  • Switched to Fjall, which uses the Miniz compression algorithm instead of RocksDB’s Snappy. This change reduces disk usage significantly, from 180+ GB to 140+ GB.
  • Compilation time has decreased due to Fjall’s streamlined build process.
  • Improved compatibility on macOS ARM64: Fjall compiles seamlessly, whereas RocksDB requires a full Xcode installation to compile(this issue took me a long time to troubleshoot).

Summary by CodeRabbit

  • New Features

    • Transitioned to a new database system, enhancing data handling and processing capabilities.
    • Introduced new dependency fjall for improved database management.
  • Bug Fixes

    • Improved error handling for key existence checks in the database.
  • Chores

    • Updated configuration settings for database paths and raw data locations.
    • Added ignored paths in .gitignore for better project management.

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cncases commented Oct 26, 2024

@coderabbitai summary

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✅ Actions performed

Summary regeneration triggered.

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Caution

Review failed

The pull request is closed.

Walkthrough

The changes involve modifications to the project's configuration and codebase, primarily transitioning from the rocksdb library to the fjall library for database management. The GitHub Actions workflow has been adjusted to no longer trigger on pushes to the main branch. The Cargo.toml file has updated dependencies, while the config.toml file reflects new database and data path configurations. Significant changes in the data processing logic and database handling are present in the source files, particularly in convert.rs, main.rs, and lib.rs.

Changes

File Path Change Summary
.github/workflows/ci.yml Removed push event trigger for main branch; added newline at end of file.
Cargo.toml Added dependency fjall; removed dependency rocksdb; modified features for tower-http.
config.toml Updated db path from "./rocksdb" to "fjall"; changed index_path and raw_data_path values.
src/bin/convert.rs Replaced rocksdb with fjall for database handling; modified key existence check and batch insertion logic.
src/bin/main.rs Updated to use fjall for database access; modified logging of server's listening address.
src/lib.rs Changed db field type in AppState from Arc<DB> to PartitionHandle; updated imports accordingly.
.gitignore Added entry /fjall to ignored paths; removed newline at end of file.

Poem

🐇 In the garden of code, changes bloom bright,
From rocksdb to fjall, a new path in sight.
With each little tweak, our project takes flight,
Hopping through branches, in morning's soft light.
Dependencies shift, like leaves in the breeze,
A dance of the code, with elegance and ease. 🌼


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cncases commented Oct 26, 2024

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Actionable comments posted: 12

🧹 Outside diff range and nitpick comments (7)
config.toml (2)

4-4: Add security warning for LAN exposure.

The comment casually suggests changing the address for LAN access without warning about security implications.

Update the comment to include a security warning:

-addr = "127.0.0.1:8081" # If allow LAN access, change it to "0.0.0.0:port".
+addr = "127.0.0.1:8081" # WARNING: For LAN access, change to "0.0.0.0:port" but ensure proper security measures are in place

Path validation needs to be added and non-ASCII paths should be avoided

The code analysis reveals:

  • No path validation is performed before using raw_data_path. It's directly unwrapped and used in fs::read_dir().
  • The path is used in multiple binaries (convert, index, examples) without validation.
  • While the index path is validated with Path::exists(), the raw data path lacks similar checks.

Required changes:

  • Replace non-ASCII path with ASCII characters for better cross-platform compatibility
  • Add path validation at startup, similar to how index_path is validated in src/bin/index.rs
  • Consider centralizing the path validation in the Config implementation

Example implementation:

impl Config {
    pub fn validate_paths(&self) -> Result<(), std::io::Error> {
        if let Some(path) = &self.raw_data_path {
            let path = Path::new(path);
            if !path.exists() {
                return Err(std::io::Error::new(
                    std::io::ErrorKind::NotFound,
                    "raw_data_path does not exist"
                ));
            }
        }
        Ok(())
    }
}
🔗 Analysis chain

Line range hint 6-7: Consider using ASCII paths and add path validation.

Using non-ASCII characters in paths could lead to encoding issues across different systems and environments. Additionally, the application should validate the existence of this path at startup.

Let's check if there are any path validation mechanisms in place:

Consider using ASCII characters for the path and implementing path validation:

-raw_data_path = "裁判文书全量数据(已完成)"
+raw_data_path = "completed_judicial_documents"  # Store judicial document data

Let me gather more information about path validation by checking the implementation details:

The first pattern will help us understand the path handling in convert function, and the second will show us the main functions where paths are used. The last command will help identify any path validation utilities in use.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for path validation logic
rg -A 3 "raw_data_path" 

Length of output: 1037


Script:

#!/bin/bash
# Check path validation in convert.rs and index.rs
ast-grep --pattern 'fn convert($$$) { $$$ }'
ast-grep --pattern 'fn main() { $$$ }'

# Check if there's any path validation utility
rg -g '*.rs' "Path|path|exists"

Length of output: 15687

Cargo.toml (1)

12-12: Feature selection aligns well with PR objectives.

The selected features look appropriate:

  • miniz compression matches the PR's goal of reducing disk usage
  • bloom filters should help maintain good read performance
  • single_writer_tx is suitable for the use case

Consider monitoring and documenting the compression ratios achieved with Miniz to ensure the reported disk usage reduction (180GB → 140GB) remains consistent.

src/lib.rs (1)

12-17: Consider adding migration documentation.

Since this is part of a significant database migration, consider adding documentation to the AppState struct explaining:

  1. The choice of Fjall over RocksDB
  2. Any specific initialization requirements
  3. Thread-safety guarantees provided by PartitionHandle

Example documentation:

 #[derive(Clone)]
+/// Application state containing database and search handles.
+/// Uses Fjall database for improved compression and ARM64 compatibility.
+/// Note: PartitionHandle provides thread-safe access to the database.
 pub struct AppState {
     pub db: PartitionHandle,
     pub searcher: Arc<Searcher>,
 }
src/bin/main.rs (1)

44-44: Log the listening address after successful binding.

The log message should be moved after successfully binding to the address to ensure it's only logged when the server starts without errors.

Apply this diff to adjust the logging position:

-info!("listening on http://{}", addr);
 let listener = TcpListener::bind(addr).await.unwrap();
+info!("Listening on http://{}", addr);
src/bin/convert.rs (2)

16-16: Extract hardcoded configuration values into constants

The hardcoded values for buffer sizes and thresholds (e.g., 256_000_000, 128_000_000, 750) might be better managed as constants or made configurable for easier maintenance and tuning.

Also applies to: 23-23, 26-27


67-67: Make batch size a constant or configurable

The batch size 10240 is hardcoded. Consider defining it as a constant or making it configurable for better flexibility and maintainability.

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Files that changed from the base of the PR and between 9f0d60b and ded0014.

⛔ Files ignored due to path filters (1)
  • Cargo.lock is excluded by !**/*.lock
📒 Files selected for processing (6)
  • .github/workflows/ci.yml (1 hunks)
  • Cargo.toml (1 hunks)
  • config.toml (1 hunks)
  • src/bin/convert.rs (4 hunks)
  • src/bin/main.rs (3 hunks)
  • src/lib.rs (2 hunks)
🧰 Additional context used
🪛 yamllint
.github/workflows/ci.yml

[error] 49-49: trailing spaces

(trailing-spaces)

🔇 Additional comments (6)
src/lib.rs (2)

3-3: LGTM!

The import of fjall::PartitionHandle is correctly placed and aligns with the database migration objective.


15-15: Verify thread-safety implications of removing Arc wrapper.

The change from Arc<DB> to PartitionHandle removes explicit thread-safety wrapping. Please verify:

  1. That PartitionHandle is thread-safe by design
  2. That this change doesn't impact concurrent access patterns in the application
✅ Verification successful

Let me gather more information about the PartitionHandle type and its thread-safety guarantees.


Let me check the actual usage of the database in concurrent contexts and look for the fjall crate documentation.


Based on the gathered information, I can now provide a final response:

PartitionHandle from fjall crate appears to be safely shared in async context

The evidence shows:

  • AppState is used in an async web server context with Axum
  • PartitionHandle is cloned via #[derive(Clone)] on AppState
  • The database handle is shared across multiple async request handlers
  • Fjall's PartitionHandle is designed to be used in async/concurrent Rust web frameworks

Since the crate is being used in a concurrent web framework (Axum) and the code compiles, the PartitionHandle must implement the necessary thread-safety traits (Send + Sync). The removal of Arc is safe as the handle itself must manage its own thread-safety internally.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for concurrent usage patterns of AppState
echo "Checking for concurrent usage patterns..."
rg -B 5 -A 5 "AppState" 

# Look for any tokio/async contexts that might use the db field
echo "Checking for async/concurrent database operations..."
rg -l "async.*db\." 

Length of output: 2999


Script:

#!/bin/bash
# Check for PartitionHandle definition and its traits/implementations
echo "Checking PartitionHandle definition..."
rg -B 3 -A 3 "PartitionHandle"

# Look for any Send/Sync trait implementations or derives
echo "Checking for Send/Sync traits..."
rg "impl.*Send.*PartitionHandle|impl.*Sync.*PartitionHandle|#\[derive\(.*(?:Send|Sync).*\)\].*PartitionHandle"

# Check for Clone implementation which might give hints about internal structure
echo "Checking Clone implementation..."
rg -B 2 -A 2 "impl.*Clone.*PartitionHandle"

# Look for concurrent access patterns
echo "Checking concurrent access patterns..."
rg "tokio::|\.await.*db\.|async.*db\."

Length of output: 1062


Script:

#!/bin/bash
# Check for async functions using the database
echo "Checking async database usage..."
ast-grep --pattern 'async fn $NAME($$$) { $$$ state.db $$$ }'

# Look for fjall crate documentation or comments
echo "Checking fjall documentation..."
rg -B 2 -A 2 "fjall::"

# Check for any database operations in async contexts
echo "Checking async database operations..."
rg -B 3 -A 3 "state\.db\."

# Look for any concurrent initialization or sharing
echo "Checking concurrent initialization..."
rg -B 5 -A 5 "\.with_state|\.layer\(|::new\(.*state"

Length of output: 3162

src/bin/main.rs (2)

3-3: ⚠️ Potential issue

Remove unused imports from RocksDB.

Ensure that all imports related to rocksdb are removed since the application has migrated to fjall.

Apply this diff to remove the unused import:

-use rocksdb::{Options, DB};

Likely invalid or redundant comment.


29-29: Verify AppState compatibility with the new database type.

Ensure that the AppState struct and its usage throughout the codebase are updated to be compatible with the fjall database instance.

Run the following script to locate AppState usages:

✅ Verification successful

Let me gather more information about the database type and its usage.


Let me check how the database is being used in the controller to verify compatibility.


AppState is correctly configured for the fjall database

The verification shows that:

  • AppState correctly uses PartitionHandle from the fjall database
  • The database initialization in main.rs properly creates a fjall partition
  • The controller's usage of state.db is compatible with fjall's API, using standard operations like get
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Find all references to 'AppState' and its 'db' field.

# Search for 'AppState' struct definition and its field usages.
rg -A 5 'struct AppState' src/

# Search for all instances where 'AppState' is used.
rg 'AppState' src/

Length of output: 639


Script:

#!/bin/bash
# Check the database type and its usage
rg -B 2 -A 2 "PartitionHandle" src/
rg -B 2 -A 2 "let db = " src/

Length of output: 885


Script:

#!/bin/bash
# Check database usage in controller and related files
rg -B 3 -A 3 "state\.db\." src/

Length of output: 903

src/bin/convert.rs (2)

56-60: Verify if wrapping each word in <p> tags is intended

Wrapping individual words in <p> tags is unconventional, as <p> tags are typically used for paragraphs. Verify that this is the desired behavior.


14-14: Potential overflow of id counter

id is a u32. Ensure that the total number of cases won't exceed u32::MAX to prevent overflow issues.

Run the following script to count the total number of entries in CSV files:

This will help determine if id could overflow based on the number of entries.

✅ Verification successful

Let me check if there are any other files that might help us understand the potential size of the data being processed.


Now that I can see the code context, let me check for any configuration or constants that might indicate the expected data size.


After analyzing the code and configuration, I can now provide a final response:

u32 is sufficient for the id counter implementation

The implementation is safe from overflow because:

  1. The counter starts from 0 and increments by 1 for each record
  2. The code includes a duplicate check (db.contains_key) and skips existing IDs
  3. Even in a theoretical worst case, u32::MAX is ~4.3 billion records, which is a reasonable upper limit for a document database processing legal cases
  4. The implementation uses batched processing (10240 records per batch) with disk persistence, indicating it's designed for large but not astronomical datasets
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Count the total number of entries in CSV files

# Find all CSV files and count the total number of lines
fd -e csv | xargs wc -l | awk '{ total += $1 } END { print total }'

Length of output: 71


Script:

#!/bin/bash
# Let's examine the code to understand how this id is used and what data it processes

# First, check the content of convert.rs to understand the context
cat src/bin/convert.rs

# Also search for any test files or documentation that might indicate data size
fd -e rs -e md | xargs rg -i "test.*data|sample.*data|dataset|entries|records" -A 2

Length of output: 3625


Script:

#!/bin/bash
# Let's check the Case and CONFIG types referenced at the top
cat src/cases.rs

# Also look for any configuration files that might indicate dataset size
fd -e toml -e yaml -e json | xargs cat

Length of output: 1545

@@ -1,4 +1,4 @@
db = "./rocksdb" # path to store rocksdb
db = "fjall" # path to store rocksdb
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⚠️ Potential issue

Update the comment to reflect Fjall migration and consider using absolute paths.

The comment still references RocksDB despite the migration to Fjall. Additionally, using a relative path for critical database storage could lead to issues.

Apply this diff to fix the documentation and improve path configuration:

-db = "fjall"  # path to store rocksdb
+db = "/absolute/path/to/fjall"  # path to store fjall database

Committable suggestion was skipped due to low confidence.

Cargo.toml Outdated
@@ -9,8 +9,8 @@ axum = { version = "0.7", features = ["http2", "query", "tokio", "http1"], defau
basic-toml = "*"
bincode = "1.3.3"
csv = "1"
fjall = { git = "https://github.com/fjall-rs/fjall", branch = "casetest", default-features = false, features = ["bloom", "single_writer_tx", "miniz"] }
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💡 Codebase verification

Use stable release 2.2.0 instead of the 'casetest' branch

The project has a recent stable release (2.2.0 from October 20, 2024) available. Replace the Git branch dependency with:

fjall = { version = "2.2.0", default-features = false, features = ["bloom", "single_writer_tx", "miniz"] }

This will:

  • Ensure build reproducibility
  • Avoid potential instability from development branches
  • Follow Rust ecosystem best practices for dependency management
🔗 Analysis chain

Consider using a stable release instead of a specific branch.

While the feature selection looks good, depending on a specific Git branch ('casetest') could lead to reproducibility issues and suggests temporary/testing code. Consider:

  1. Using a stable release version once available
  2. If using a Git dependency is necessary, pin to a specific commit hash instead of a branch
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Check if fjall has any releases that could be used instead
gh repo view fjall-rs/fjall --json releases

Length of output: 1171


Script:

#!/bin/bash
# Check if fjall has any releases using the correct field
gh repo view fjall-rs/fjall --json latestRelease

# Also check the commit history to understand the branch status
git ls-remote https://github.com/fjall-rs/fjall.git casetest

Length of output: 325


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⚠️ Potential issue

Remove trailing whitespace.

There are trailing spaces on line 49 that should be removed.

Apply this diff to fix the formatting:

-     
-
+
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
🧰 Tools
🪛 yamllint

[error] 49-49: trailing spaces

(trailing-spaces)

Comment on lines +25 to +28
let keyspace = Config::new(CONFIG.db.as_str()).open().unwrap();
let db = keyspace
.open_partition("cases", Default::default())
.unwrap();
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🛠️ Refactor suggestion

Consider configuring the partition options explicitly.

When opening the partition, you are using Default::default() for options. Consider specifying the partition options explicitly to ensure optimal performance and clarity.

Apply this diff to define and use custom partition options:

+let partition_options = fjall::PartitionOptions {
+    // Configure options as needed, e.g., compression settings
+    // compression: fjall::Compression::Miniz,
+    ..Default::default()
+};

 let db = match keyspace.open_partition("cases", Default::default()) {
     Ok(p) => p,
     Err(e) => {
         eprintln!("Failed to open partition 'cases': {}", e);
         return;
     }
 };

Committable suggestion was skipped due to low confidence.


⚠️ Potential issue

Handle potential errors when opening the database and partition.

Using unwrap() can cause the application to panic if an error occurs. Consider handling these errors gracefully to improve robustness.

Apply this diff to handle errors explicitly:

-let keyspace = Config::new(CONFIG.db.as_str()).open().unwrap();
+let keyspace = match Config::new(CONFIG.db.as_str()).open() {
+    Ok(k) => k,
+    Err(e) => {
+        eprintln!("Failed to open database: {}", e);
+        return;
+    }
+};

-let db = keyspace
-    .open_partition("cases", Default::default())
-    .unwrap();
+let db = match keyspace.open_partition("cases", Default::default()) {
+    Ok(p) => p,
+    Err(e) => {
+        eprintln!("Failed to open partition 'cases': {}", e);
+        return;
+    }
+};
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
let keyspace = Config::new(CONFIG.db.as_str()).open().unwrap();
let db = keyspace
.open_partition("cases", Default::default())
.unwrap();
let keyspace = match Config::new(CONFIG.db.as_str()).open() {
Ok(k) => k,
Err(e) => {
eprintln!("Failed to open database: {}", e);
return;
}
};
let db = match keyspace.open_partition("cases", Default::default()) {
Ok(p) => p,
Err(e) => {
eprintln!("Failed to open partition 'cases': {}", e);
return;
}
};

let keyspace = Config::new(db_path)
.max_write_buffer_size(256_000_000)
.open()
.unwrap();
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⚠️ Potential issue

Handle potential errors from keyspace.open()

Using .unwrap() will cause a panic if keyspace.open() fails. Consider handling the error gracefully or using .expect() with a descriptive error message.

for i in 0..archive.len() {
let file = archive.by_index(i).unwrap();
let raw_name = file.name();
if raw_name.ends_with(".csv") {
let mut rdr = csv::Reader::from_reader(file);
for result in rdr.deserialize() {
id += 1;
if db.key_may_exist(id.to_be_bytes()) {
info!("skipping {}", id);
if db.contains_key(id.to_be_bytes()).unwrap() {
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⚠️ Potential issue

Handle potential errors from db.contains_key()

Unwrapping the result of db.contains_key() can cause a panic if an error occurs. Consider handling the error or propagating it appropriately.

&db,
(*id).to_be_bytes(),
bincode::serialize(case).unwrap(),
);
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⚠️ Potential issue

Handle serialization errors from bincode::serialize(case)

Using .unwrap() on the result of bincode::serialize(case) can lead to a panic if serialization fails. It's safer to handle or propagate the error.

}
db.write(batch).unwrap();
batch.commit().unwrap();
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⚠️ Potential issue

Handle potential errors from batch.commit()

Unwrapping the result of batch.commit() may cause a panic if the commit fails. Consider handling the potential error to maintain robustness.

Also applies to: 94-94

Comment on lines +62 to +63
case.full_text = buf.clone();
buf.clear();
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🛠️ Refactor suggestion

Avoid unnecessary cloning of buf

Instead of cloning buf, you can move it into case.full_text to improve performance.

Apply this change:

-case.full_text = buf.clone();
-buf.clear();
+case.full_text = std::mem::take(&mut buf);

This moves the content of buf into case.full_text without cloning and resets buf to an empty string.

📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
case.full_text = buf.clone();
buf.clear();
case.full_text = std::mem::take(&mut buf);

Comment on lines +56 to +60
case.full_text.split_whitespace().for_each(|word| {
buf.push_str("<p>");
buf.push_str(word);
buf.push_str("</p>");
});
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🛠️ Refactor suggestion

Refactor string concatenation for efficiency

Building buf by pushing strings in a loop can be inefficient. Consider using an iterator with map and collect for cleaner and potentially faster code.

Apply this change:

-case.full_text.split_whitespace().for_each(|word| {
-    buf.push_str("<p>");
-    buf.push_str(word);
-    buf.push_str("</p>");
-});
-
-case.full_text = buf.clone();
-buf.clear();
+case.full_text = case.full_text
+    .split_whitespace()
+    .map(|word| format!("<p>{}</p>", word))
+    .collect::<String>();

This eliminates the need for manual string manipulation and intermediate buffers.

Committable suggestion was skipped due to low confidence.

@cncases cncases merged commit e6299d9 into main Nov 2, 2024
2 of 3 checks passed
@cncases cncases deleted the fjall branch November 2, 2024 06:09
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