Add support for truncated rows

Similar to what is supported in the csv crate, as well as the pandas,
arrow-cpp and polars crates. A subset of CSV files treat missing columns
at the end of rows as null (if the schema allows it). This commit adds
support to optionally enable treating such missing columns as null.
The default behavior is still to treat an incorrect number of columns
as an error.

arrow-csv/src/reader/mod.rs

@@ -231,6 +231,7 @@ pub struct Format {
     quote: Option<u8>,
     terminator: Option<u8>,
     null_regex: NullRegex,
+    allow_truncated_rows: bool,
 }
 
 impl Format {
@@ -265,6 +266,17 @@ impl Format {
         self
     }
 
+    /// Whether to allow truncated rows when parsing.
+    ///
+    /// By default this is set to `false` and will error if the CSV rows have different lengths.
+    /// When set to true then it will allow records with less than the expected number of columns
+    /// and fill the missing columns with nulls. If the record's schema is not nullable, then it
+    /// will still return an error.
+    pub fn with_allow_truncated_rows(mut self, allow: bool) -> Self {
+        self.allow_truncated_rows = allow;
+        self
+    }
+
     /// Infer schema of CSV records from the provided `reader`
     ///
     /// If `max_records` is `None`, all records will be read, otherwise up to `max_records`
@@ -329,6 +341,7 @@ impl Format {
     fn build_reader<R: Read>(&self, reader: R) -> csv::Reader<R> {
         let mut builder = csv::ReaderBuilder::new();
         builder.has_headers(self.header);
+        builder.flexible(self.allow_truncated_rows);
 
         if let Some(c) = self.delimiter {
             builder.delimiter(c);
@@ -1117,6 +1130,17 @@ impl ReaderBuilder {
         self
     }
 
+    /// Whether to allow truncated rows when parsing.
+    ///
+    /// By default this is set to `false` and will error if the CSV rows have different lengths.
+    /// When set to true then it will allow records with less than the expected number of columns
+    /// and fill the missing columns with nulls. If the record's schema is not nullable, then it
+    /// will still return an error.
+    pub fn with_allow_truncated_rows(mut self, allow: bool) -> Self {
+        self.format.allow_truncated_rows = allow;
+        self
+    }
+
     /// Create a new `Reader` from a non-buffered reader
     ///
     /// If `R: BufRead` consider using [`Self::build_buffered`] to avoid unnecessary additional
@@ -1136,7 +1160,9 @@ impl ReaderBuilder {
     /// Builds a decoder that can be used to decode CSV from an arbitrary byte stream
     pub fn build_decoder(self) -> Decoder {
         let delimiter = self.format.build_parser();
-        let record_decoder = RecordDecoder::new(delimiter, self.schema.fields().len());
+        let mut record_decoder = RecordDecoder::new(delimiter, self.schema.fields().len());
+
+        record_decoder.set_allow_truncated_rows(self.format.allow_truncated_rows);
 
         let header = self.format.header as usize;
 
@@ -2160,6 +2186,130 @@ mod tests {
         assert!(c.is_null(3));
     }
 
+    #[test]
+    fn test_allow_truncated_rows() {
+        let data = "a,b,c\n1,2,3\n4,5";
+        let schema = Arc::new(Schema::new(vec![
+            Field::new("a", DataType::Int32, true),
+            Field::new("b", DataType::Int32, true),
+            Field::new("c", DataType::Int32, true),
+        ]));
+
+        let reader = ReaderBuilder::new(schema.clone())
+            .with_header(true)
+            .with_allow_truncated_rows(true)
+            .build(Cursor::new(data))
+            .unwrap();
+
+        let batches = reader.collect::<Result<Vec<_>, _>>();
+        assert!(batches.is_ok());
+
+        let reader = ReaderBuilder::new(schema.clone())
+            .with_header(true)
+            .with_allow_truncated_rows(false)
+            .build(Cursor::new(data))
+            .unwrap();
+
+        let batches = reader.collect::<Result<Vec<_>, _>>();
+        assert!(match batches {
+            Err(ArrowError::CsvError(e)) => e.to_string().contains("incorrect number of fields"),
+            _ => false,
+        });
+    }
+
+    #[test]
+    fn test_allow_truncated_rows_csv() {
+        let file = File::open("test/data/truncated_rows.csv").unwrap();
+        let schema = Arc::new(Schema::new(vec![
+            Field::new("Name", DataType::Utf8, true),
+            Field::new("Age", DataType::UInt32, true),
+            Field::new("Occupation", DataType::Utf8, true),
+            Field::new("DOB", DataType::Date32, true),
+        ]));
+        let reader = ReaderBuilder::new(schema.clone())
+            .with_header(true)
+            .with_batch_size(24)
+            .with_allow_truncated_rows(true);
+        let csv = reader.build(file).unwrap();
+        let batches = csv.collect::<Result<Vec<_>, _>>().unwrap();
+
+        assert_eq!(batches.len(), 1);
+        let batch = &batches[0];
+        assert_eq!(batch.num_rows(), 6);
+        assert_eq!(batch.num_columns(), 4);
+        let name = batch
+            .column(0)
+            .as_any()
+            .downcast_ref::<StringArray>()
+            .unwrap();
+        let age = batch
+            .column(1)
+            .as_any()
+            .downcast_ref::<UInt32Array>()
+            .unwrap();
+        let occupation = batch
+            .column(2)
+            .as_any()
+            .downcast_ref::<StringArray>()
+            .unwrap();
+        let dob = batch
+            .column(3)
+            .as_any()
+            .downcast_ref::<Date32Array>()
+            .unwrap();
+
+        assert_eq!(name.value(0), "A1");
+        assert_eq!(name.value(1), "B2");
+        assert!(name.is_null(2));
+        assert_eq!(name.value(3), "C3");
+        assert_eq!(name.value(4), "D4");
+        assert_eq!(name.value(5), "E5");
+
+        assert_eq!(age.value(0), 34);
+        assert_eq!(age.value(1), 29);
+        assert!(age.is_null(2));
+        assert_eq!(age.value(3), 45);
+        assert!(age.is_null(4));
+        assert_eq!(age.value(5), 31);
+
+        assert_eq!(occupation.value(0), "Engineer");
+        assert_eq!(occupation.value(1), "Doctor");
+        assert!(occupation.is_null(2));
+        assert_eq!(occupation.value(3), "Artist");
+        assert!(occupation.is_null(4));
+        assert!(occupation.is_null(5));
+
+        assert_eq!(dob.value(0), 5675);
+        assert!(dob.is_null(1));
+        assert!(dob.is_null(2));
+        assert_eq!(dob.value(3), -1858);
+        assert!(dob.is_null(4));
+        assert!(dob.is_null(5));
+    }
+
+    #[test]
+    fn test_allow_truncated_rows_not_nullable_error() {
+        let data = "a,b,c\n1,2,3\n4,5";
+        let schema = Arc::new(Schema::new(vec![
+            Field::new("a", DataType::Int32, false),
+            Field::new("b", DataType::Int32, false),
+            Field::new("c", DataType::Int32, false),
+        ]));
+
+        let reader = ReaderBuilder::new(schema.clone())
+            .with_header(true)
+            .with_allow_truncated_rows(true)
+            .build(Cursor::new(data))
+            .unwrap();
+
+        let batches = reader.collect::<Result<Vec<_>, _>>();
+        assert!(match batches {
+            Err(ArrowError::InvalidArgumentError(e)) =>
+                e.to_string().contains("contains null values"),
+            _ => false,
+        });
+    }
+
     #[test]
     fn test_buffered() {
         let tests = [

arrow-csv/src/reader/records.rs

@@ -56,6 +56,12 @@ pub struct RecordDecoder {
     ///
     /// We track this independently of Vec to avoid re-zeroing memory
     data_len: usize,
+
+    /// Whether rows with less than expected columns are considered valid
+    ///
+    /// Default value is false
+    /// When enabled fills in missing columns with null
+    allow_truncated_rows: bool,
 }
 
 impl RecordDecoder {
@@ -70,6 +76,7 @@ impl RecordDecoder {
             data_len: 0,
             data: vec![],
             num_rows: 0,
+            allow_truncated_rows: false,
         }
     }
 
@@ -127,10 +134,19 @@ impl RecordDecoder {
                     }
                     ReadRecordResult::Record => {
                         if self.current_field != self.num_columns {
-                            return Err(ArrowError::CsvError(format!(
-                                "incorrect number of fields for line {}, expected {} got {}",
-                                self.line_number, self.num_columns, self.current_field
-                            )));
+                            if self.allow_truncated_rows && self.current_field < self.num_columns {
+                                // If the number of fields is less than expected, pad with nulls
+                                let fill_count = self.num_columns - self.current_field;
+                                let fill_value = self.offsets[self.offsets_len - 1];
+                                self.offsets[self.offsets_len..self.offsets_len + fill_count]
+                                    .fill(fill_value);
+                                self.offsets_len += fill_count;
+                            } else {
+                                return Err(ArrowError::CsvError(format!(
+                                    "incorrect number of fields for line {}, expected {} got {}",
+                                    self.line_number, self.num_columns, self.current_field
+                                )));
+                            }
                         }
                         read += 1;
                         self.current_field = 0;
@@ -172,6 +188,11 @@ impl RecordDecoder {
         self.num_rows = 0;
     }
 
+    /// Sets the decoder to allow rows with less than the expected number columns
+    pub fn set_allow_truncated_rows(&mut self, allow: bool) {
+        self.allow_truncated_rows = allow;
+    }
+
     /// Flushes the current contents of the reader
     pub fn flush(&mut self) -> Result<StringRecords<'_>, ArrowError> {
         if self.current_field != 0 {
@@ -359,4 +380,14 @@ mod tests {
         assert_eq!(read, 2);
         assert_eq!(bytes, csv.len());
     }
+
+    #[test]
+    fn test_truncated_rows() {
+        let csv = "a,b\nv\n,1\n,2\n,3\n";
+        let mut decoder = RecordDecoder::new(Reader::new(), 2);
+        decoder.set_allow_truncated_rows(true);
+        let (read, bytes) = decoder.decode(csv.as_bytes(), 5).unwrap();
+        assert_eq!(read, 5);
+        assert_eq!(bytes, csv.len());
+    }
 }

arrow-csv/test/data/truncated_rows.csv

@@ -0,0 +1,7 @@
+Name,Age,Occupation,DOB
+A1,34,Engineer,1985-07-16
+B2,29,Doctor
+,,
+C3,45,Artist,1964-11-30
+D4
+E5,31,,