Support csv truncated rows in datafusion

datafusion/common/src/config.rs

@@ -2521,6 +2521,10 @@ config_namespace! {
         // The input regex for Nulls when loading CSVs.
         pub null_regex: Option<String>, default = None
         pub comment: Option<u8>, default = None
+        // 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
+        pub truncated_rows: Option<bool>, default = None
     }
 }
 
@@ -2613,6 +2617,15 @@ impl CsvOptions {
         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_truncated_rows(mut self, allow: bool) -> Self {
+        self.truncated_rows = Some(allow);
+        self
+    }
+
     /// The delimiter character.
     pub fn delimiter(&self) -> u8 {
         self.delimiter

datafusion/core/src/datasource/file_format/csv.rs

@@ -48,7 +48,7 @@ mod tests {
     use datafusion_physical_plan::{collect, ExecutionPlan};
 
     use arrow::array::{
-        BooleanArray, Float64Array, Int32Array, RecordBatch, StringArray,
+        Array, BooleanArray, Float64Array, Int32Array, RecordBatch, StringArray,
     };
     use arrow::compute::concat_batches;
     use arrow::csv::ReaderBuilder;
@@ -1256,4 +1256,181 @@ mod tests {
             .build_decoder();
         DecoderDeserializer::new(CsvDecoder::new(decoder))
     }
+
+    fn csv_deserializer_with_truncated(
+        batch_size: usize,
+        schema: &Arc<Schema>,
+    ) -> impl BatchDeserializer<Bytes> {
+        // using Arrow's ReaderBuilder and enabling truncated_rows
+        let decoder = ReaderBuilder::new(schema.clone())
+            .with_batch_size(batch_size)
+            .with_truncated_rows(true) // <- enable runtime truncated_rows
+            .build_decoder();
+        DecoderDeserializer::new(CsvDecoder::new(decoder))
+    }
+
+    #[tokio::test]
+    async fn infer_schema_with_truncated_rows_true() -> Result<()> {
+        let session_ctx = SessionContext::new();
+        let state = session_ctx.state();
+
+        // CSV: header has 3 columns, but first data row has only 2 columns, second row has 3
+        let csv_data = Bytes::from("a,b,c\n1,2\n3,4,5\n");
+        let variable_object_store = Arc::new(VariableStream::new(csv_data, 1));
+        let object_meta = ObjectMeta {
+            location: Path::parse("/")?,
+            last_modified: DateTime::default(),
+            size: u64::MAX,
+            e_tag: None,
+            version: None,
+        };
+
+        // Construct CsvFormat and enable truncated_rows via CsvOptions
+        let csv_options = CsvOptions::default().with_truncated_rows(true);
+        let csv_format = CsvFormat::default()
+            .with_has_header(true)
+            .with_options(csv_options)
+            .with_schema_infer_max_rec(10);
+
+        let inferred_schema = csv_format
+            .infer_schema(
+                &state,
+                &(variable_object_store.clone() as Arc<dyn ObjectStore>),
+                &[object_meta],
+            )
+            .await?;
+
+        // header has 3 columns; inferred schema should also have 3
+        assert_eq!(inferred_schema.fields().len(), 3);
+
+        // inferred columns should be nullable
+        for f in inferred_schema.fields() {
+            assert!(f.is_nullable());
+        }
+
+        Ok(())
+    }
+    #[test]
+    fn test_decoder_truncated_rows_runtime() -> Result<()> {
+        // Synchronous test: Decoder API used here is synchronous
+        let schema = csv_schema(); // helper already defined in file
+
+        // Construct a decoder that enables truncated_rows at runtime
+        let mut deserializer = csv_deserializer_with_truncated(10, &schema);
+
+        // Provide two rows: first row complete, second row missing last column
+        let input = Bytes::from("0,0.0,true,0-string\n1,1.0,true\n");
+        deserializer.digest(input);
+
+        // Finish and collect output
+        deserializer.finish();
+
+        let output = deserializer.next()?;
+        match output {
+            DeserializerOutput::RecordBatch(batch) => {
+                // ensure at least two rows present
+                assert!(batch.num_rows() >= 2);
+                // column 4 (index 3) should be a StringArray where second row is NULL
+                let col4 = batch
+                    .column(3)
+                    .as_any()
+                    .downcast_ref::<StringArray>()
+                    .expect("column 4 should be StringArray");
+
+                // first row present, second row should be null
+                assert!(!col4.is_null(0));
+                assert!(col4.is_null(1));
+            }
+            other => panic!("expected RecordBatch but got {other:?}"),
+        }
+        Ok(())
+    }
+
+    #[tokio::test]
+    async fn infer_schema_truncated_rows_false_error() -> Result<()> {
+        let session_ctx = SessionContext::new();
+        let state = session_ctx.state();
+
+        // CSV: header has 4 cols, first data row has 3 cols -> truncated at end
+        let csv_data = Bytes::from("id,a,b,c\n1,foo,bar\n2,foo,bar,baz\n");
+        let variable_object_store = Arc::new(VariableStream::new(csv_data, 1));
+        let object_meta = ObjectMeta {
+            location: Path::parse("/")?,
+            last_modified: DateTime::default(),
+            size: u64::MAX,
+            e_tag: None,
+            version: None,
+        };
+
+        // CsvFormat without enabling truncated_rows (default behavior = false)
+        let csv_format = CsvFormat::default()
+            .with_has_header(true)
+            .with_schema_infer_max_rec(10);
+
+        let res = csv_format
+            .infer_schema(
+                &state,
+                &(variable_object_store.clone() as Arc<dyn ObjectStore>),
+                &[object_meta],
+            )
+            .await;
+
+        // Expect an error due to unequal lengths / incorrect number of fields
+        assert!(
+            res.is_err(),
+            "expected infer_schema to error on truncated rows when disabled"
+        );
+
+        // Optional: check message contains indicative text (two known possibilities)
+        if let Err(err) = res {
+            let msg = format!("{err}");
+            assert!(
+                msg.contains("Encountered unequal lengths")
+                    || msg.contains("incorrect number of fields"),
+                "unexpected error message: {msg}",
+            );
+        }
+
+        Ok(())
+    }
+
+    #[tokio::test]
+    async fn test_read_csv_truncated_rows_via_tempfile() -> Result<()> {
+        use std::io::Write;
+
+        // create a SessionContext
+        let ctx = SessionContext::new();
+
+        // Create a temp file with a .csv suffix so the reader accepts it
+        let mut tmp = tempfile::Builder::new().suffix(".csv").tempfile()?; // ensures path ends with .csv
+                                                                           // CSV has header "a,b,c". First data row is truncated (only "1,2"), second row is complete.
+        write!(tmp, "a,b,c\n1,2\n3,4,5\n")?;
+        let path = tmp.path().to_str().unwrap().to_string();
+
+        // Build CsvReadOptions: header present, enable truncated_rows.
+        // (Use the exact builder method your crate exposes: `truncated_rows(true)` here,
+        //  if the method name differs in your codebase use the appropriate one.)
+        let options = CsvReadOptions::default().truncated_rows(true);
+
+        println!("options: {}, path: {path}", options.truncated_rows);
+
+        // Call the API under test
+        let df = ctx.read_csv(&path, options).await?;
+
+        // Collect the results and combine batches so we can inspect columns
+        let batches = df.collect().await?;
+        let combined = concat_batches(&batches[0].schema(), &batches)?;
+
+        // Column 'c' is the 3rd column (index 2). The first data row was truncated -> should be NULL.
+        let col_c = combined.column(2);
+        assert!(
+            col_c.is_null(0),
+            "expected first row column 'c' to be NULL due to truncated row"
+        );
+
+        // Also ensure we read at least one row
+        assert!(combined.num_rows() >= 2);
+
+        Ok(())
+    }
 }

datafusion/core/src/datasource/file_format/options.rs

@@ -91,6 +91,11 @@ pub struct CsvReadOptions<'a> {
     pub file_sort_order: Vec<Vec<SortExpr>>,
     /// Optional regex to match null values
     pub null_regex: Option<String>,
+    /// 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 truncated_rows: bool,
 }
 
 impl Default for CsvReadOptions<'_> {
@@ -117,6 +122,7 @@ impl<'a> CsvReadOptions<'a> {
             file_sort_order: vec![],
             comment: None,
             null_regex: None,
+            truncated_rows: false,
         }
     }
 
@@ -223,6 +229,15 @@ impl<'a> CsvReadOptions<'a> {
         self.null_regex = null_regex;
         self
     }
+
+    /// Configure 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 truncated_rows(mut self, truncated_rows: bool) -> Self {
+        self.truncated_rows = truncated_rows;
+        self
+    }
 }
 
 /// Options that control the reading of Parquet files.
@@ -558,7 +573,8 @@ impl ReadOptions<'_> for CsvReadOptions<'_> {
             .with_newlines_in_values(self.newlines_in_values)
             .with_schema_infer_max_rec(self.schema_infer_max_records)
             .with_file_compression_type(self.file_compression_type.to_owned())
-            .with_null_regex(self.null_regex.clone());
+            .with_null_regex(self.null_regex.clone())
+            .with_truncated_rows(self.truncated_rows);
 
         ListingOptions::new(Arc::new(file_format))
             .with_file_extension(self.file_extension)

datafusion/datasource-csv/src/file_format.rs

@@ -222,6 +222,11 @@ impl CsvFormat {
         self
     }
 
+    pub fn with_truncated_rows(mut self, truncated_rows: bool) -> Self {
+        self.options.truncated_rows = Some(truncated_rows);
+        self
+    }
+
     /// Set the regex to use for null values in the CSV reader.
     /// - default to treat empty values as null.
     pub fn with_null_regex(mut self, null_regex: Option<String>) -> Self {
@@ -291,6 +296,13 @@ impl CsvFormat {
         self
     }
 
+    /// Set whether rows should be truncated to the column width
+    /// - defaults to false
+    pub fn with_truncate_rows(mut self, truncate_rows: bool) -> Self {
+        self.options.truncated_rows = Some(truncate_rows);
+        self
+    }
+
     /// The delimiter character.
     pub fn delimiter(&self) -> u8 {
         self.options.delimiter
@@ -426,11 +438,13 @@ impl FileFormat for CsvFormat {
             .with_file_compression_type(self.options.compression.into())
             .with_newlines_in_values(newlines_in_values);
 
+        let truncated_rows = self.options.truncated_rows.unwrap_or(false);
         let source = Arc::new(
             CsvSource::new(has_header, self.options.delimiter, self.options.quote)
                 .with_escape(self.options.escape)
                 .with_terminator(self.options.terminator)
-                .with_comment(self.options.comment),
+                .with_comment(self.options.comment)
+                .with_truncate_rows(truncated_rows),
         );
 
         let config = conf_builder.with_source(source).build();
@@ -509,7 +523,8 @@ impl CsvFormat {
                             .unwrap_or_else(|| state.config_options().catalog.has_header),
                 )
                 .with_delimiter(self.options.delimiter)
-                .with_quote(self.options.quote);
+                .with_quote(self.options.quote)
+                .with_truncated_rows(self.options.truncated_rows.unwrap_or(false));
 
             if let Some(null_regex) = &self.options.null_regex {
                 let regex = Regex::new(null_regex.as_str())

datafusion/datasource-csv/src/source.rs

@@ -94,6 +94,7 @@ pub struct CsvSource {
     metrics: ExecutionPlanMetricsSet,
     projected_statistics: Option<Statistics>,
     schema_adapter_factory: Option<Arc<dyn SchemaAdapterFactory>>,
+    truncate_rows: bool,
 }
 
 impl CsvSource {
@@ -111,6 +112,11 @@ impl CsvSource {
     pub fn has_header(&self) -> bool {
         self.has_header
     }
+
+    // true if rows length support truncate
+    pub fn truncate_rows(&self) -> bool {
+        self.truncate_rows
+    }
     /// A column delimiter
     pub fn delimiter(&self) -> u8 {
         self.delimiter
@@ -156,6 +162,13 @@ impl CsvSource {
         conf.comment = comment;
         conf
     }
+
+    /// Whether to support truncate rows when read csv file
+    pub fn with_truncate_rows(&self, truncate_rows: bool) -> Self {
+        let mut conf = self.clone();
+        conf.truncate_rows = truncate_rows;
+        conf
+    }
 }
 
 impl CsvSource {
@@ -175,7 +188,8 @@ impl CsvSource {
                 .expect("Batch size must be set before initializing builder"),
         )
         .with_header(self.has_header)
-        .with_quote(self.quote);
+        .with_quote(self.quote)
+        .with_truncated_rows(self.truncate_rows);
         if let Some(terminator) = self.terminator {
             builder = builder.with_terminator(terminator);
         }
@@ -340,6 +354,7 @@ impl FileOpener for CsvOpener {
 
         let config = CsvSource {
             has_header: csv_has_header,
+            truncate_rows: self.config.truncate_rows,
             ..(*self.config).clone()
         };
 

datafusion/proto-common/proto/datafusion_common.proto

@@ -460,6 +460,7 @@ message CsvOptions {
   bytes double_quote = 15; // Indicates if quotes are doubled
   bytes newlines_in_values = 16; // Indicates if newlines are supported in values
   bytes terminator = 17; // Optional terminator character as a byte
+  bytes truncated_rows = 18; // Indicates if truncated rows are allowed
 }
 
 // Options controlling CSV format

datafusion/proto-common/src/from_proto/mod.rs

@@ -917,6 +917,7 @@ impl TryFrom<&protobuf::CsvOptions> for CsvOptions {
             null_regex: (!proto_opts.null_regex.is_empty())
                 .then(|| proto_opts.null_regex.clone()),
             comment: proto_opts.comment.first().copied(),
+            truncated_rows: proto_opts.truncated_rows.first().map(|h| *h != 0),
         })
     }
 }