// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements.  See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership.  The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License.  You may obtain a copy of the License at
//
//   http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied.  See the License for the
// specific language governing permissions and limitations
// under the License.

//! Arrow IPC File and Stream Writers
//!
//! The `FileWriter` and `StreamWriter` have similar interfaces,
//! however the `FileWriter` expects a reader that supports `Seek`ing

use std::cmp::min;
use std::collections::HashMap;
use std::io::{BufWriter, Write};
use std::sync::Arc;

use flatbuffers::FlatBufferBuilder;

use arrow_array::builder::BufferBuilder;
use arrow_array::cast::*;
use arrow_array::types::{Int16Type, Int32Type, Int64Type, RunEndIndexType};
use arrow_array::*;
use arrow_buffer::bit_util;
use arrow_buffer::{ArrowNativeType, Buffer, MutableBuffer};
use arrow_data::{layout, ArrayData, ArrayDataBuilder, BufferSpec};
use arrow_schema::*;

use crate::compression::CompressionCodec;
use crate::CONTINUATION_MARKER;

/// IPC write options used to control the behaviour of the [`IpcDataGenerator`]
#[derive(Debug, Clone)]
pub struct IpcWriteOptions {
    /// Write padding after memory buffers to this multiple of bytes.
    /// Generally 8 or 64, defaults to 64
    alignment: usize,
    /// The legacy format is for releases before 0.15.0, and uses metadata V4
    write_legacy_ipc_format: bool,
    /// The metadata version to write. The Rust IPC writer supports V4+
    ///
    /// *Default versions per crate*
    ///
    /// When creating the default IpcWriteOptions, the following metadata versions are used:
    ///
    /// version 2.0.0: V4, with legacy format enabled
    /// version 4.0.0: V5
    metadata_version: crate::MetadataVersion,
    /// Compression, if desired. Will result in a runtime error
    /// if the corresponding feature is not enabled
    batch_compression_type: Option<crate::CompressionType>,
}

impl IpcWriteOptions {
    /// Configures compression when writing IPC files.
    ///
    /// Will result in a runtime error if the corresponding feature
    /// is not enabled
    pub fn try_with_compression(
        mut self,
        batch_compression_type: Option<crate::CompressionType>,
    ) -> Result<Self, ArrowError> {
        self.batch_compression_type = batch_compression_type;

        if self.batch_compression_type.is_some()
            && self.metadata_version < crate::MetadataVersion::V5
        {
            return Err(ArrowError::InvalidArgumentError(
                "Compression only supported in metadata v5 and above".to_string(),
            ));
        }
        Ok(self)
    }
    /// Try create IpcWriteOptions, checking for incompatible settings
    pub fn try_new(
        alignment: usize,
        write_legacy_ipc_format: bool,
        metadata_version: crate::MetadataVersion,
    ) -> Result<Self, ArrowError> {
        if alignment == 0 || alignment % 8 != 0 {
            return Err(ArrowError::InvalidArgumentError(
                "Alignment should be greater than 0 and be a multiple of 8".to_string(),
            ));
        }
        match metadata_version {
            crate::MetadataVersion::V1
            | crate::MetadataVersion::V2
            | crate::MetadataVersion::V3 => Err(ArrowError::InvalidArgumentError(
                "Writing IPC metadata version 3 and lower not supported".to_string(),
            )),
            crate::MetadataVersion::V4 => Ok(Self {
                alignment,
                write_legacy_ipc_format,
                metadata_version,
                batch_compression_type: None,
            }),
            crate::MetadataVersion::V5 => {
                if write_legacy_ipc_format {
                    Err(ArrowError::InvalidArgumentError(
                        "Legacy IPC format only supported on metadata version 4".to_string(),
                    ))
                } else {
                    Ok(Self {
                        alignment,
                        write_legacy_ipc_format,
                        metadata_version,
                        batch_compression_type: None,
                    })
                }
            }
            z => Err(ArrowError::InvalidArgumentError(format!(
                "Unsupported crate::MetadataVersion {z:?}"
            ))),
        }
    }
}

impl Default for IpcWriteOptions {
    fn default() -> Self {
        Self {
            alignment: 64,
            write_legacy_ipc_format: false,
            metadata_version: crate::MetadataVersion::V5,
            batch_compression_type: None,
        }
    }
}

#[derive(Debug, Default)]
/// Handles low level details of encoding [`Array`] and [`Schema`] into the
/// [Arrow IPC Format].
///
/// # Example:
/// ```
/// # fn run() {
/// # use std::sync::Arc;
/// # use arrow_array::UInt64Array;
/// # use arrow_array::RecordBatch;
/// # use arrow_ipc::writer::{DictionaryTracker, IpcDataGenerator, IpcWriteOptions};
///
/// // Create a record batch
/// let batch = RecordBatch::try_from_iter(vec![
///  ("col2", Arc::new(UInt64Array::from_iter([10, 23, 33])) as _)
/// ]).unwrap();
///
/// // Error of dictionary ids are replaced.
/// let error_on_replacement = true;
/// let options = IpcWriteOptions::default();
/// let mut dictionary_tracker = DictionaryTracker::new(error_on_replacement);
///
/// // encode the batch into zero or more encoded dictionaries
/// // and the data for the actual array.
/// let data_gen = IpcDataGenerator {};
/// let (encoded_dictionaries, encoded_message) = data_gen
///   .encoded_batch(&batch, &mut dictionary_tracker, &options)
///   .unwrap();
/// # }
/// ```
///
/// [Arrow IPC Format]: https://arrow.apache.org/docs/format/Columnar.html#serialization-and-interprocess-communication-ipc

pub struct IpcDataGenerator {}

impl IpcDataGenerator {
    pub fn schema_to_bytes(&self, schema: &Schema, write_options: &IpcWriteOptions) -> EncodedData {
        let mut fbb = FlatBufferBuilder::new();
        let schema = {
            let fb = crate::convert::schema_to_fb_offset(&mut fbb, schema);
            fb.as_union_value()
        };

        let mut message = crate::MessageBuilder::new(&mut fbb);
        message.add_version(write_options.metadata_version);
        message.add_header_type(crate::MessageHeader::Schema);
        message.add_bodyLength(0);
        message.add_header(schema);
        // TODO: custom metadata
        let data = message.finish();
        fbb.finish(data, None);

        let data = fbb.finished_data();
        EncodedData {
            ipc_message: data.to_vec(),
            arrow_data: vec![],
        }
    }

    fn _encode_dictionaries(
        &self,
        column: &ArrayRef,
        encoded_dictionaries: &mut Vec<EncodedData>,
        dictionary_tracker: &mut DictionaryTracker,
        write_options: &IpcWriteOptions,
    ) -> Result<(), ArrowError> {
        match column.data_type() {
            DataType::Struct(fields) => {
                let s = as_struct_array(column);
                for (field, column) in fields.iter().zip(s.columns()) {
                    self.encode_dictionaries(
                        field,
                        column,
                        encoded_dictionaries,
                        dictionary_tracker,
                        write_options,
                    )?;
                }
            }
            DataType::RunEndEncoded(_, values) => {
                let data = column.to_data();
                if data.child_data().len() != 2 {
                    return Err(ArrowError::InvalidArgumentError(format!(
                        "The run encoded array should have exactly two child arrays. Found {}",
                        data.child_data().len()
                    )));
                }
                // The run_ends array is not expected to be dictionary encoded. Hence encode dictionaries
                // only for values array.
                let values_array = make_array(data.child_data()[1].clone());
                self.encode_dictionaries(
                    values,
                    &values_array,
                    encoded_dictionaries,
                    dictionary_tracker,
                    write_options,
                )?;
            }
            DataType::List(field) => {
                let list = as_list_array(column);
                self.encode_dictionaries(
                    field,
                    list.values(),
                    encoded_dictionaries,
                    dictionary_tracker,
                    write_options,
                )?;
            }
            DataType::LargeList(field) => {
                let list = as_large_list_array(column);
                self.encode_dictionaries(
                    field,
                    list.values(),
                    encoded_dictionaries,
                    dictionary_tracker,
                    write_options,
                )?;
            }
            DataType::FixedSizeList(field, _) => {
                let list = column
                    .as_any()
                    .downcast_ref::<FixedSizeListArray>()
                    .expect("Unable to downcast to fixed size list array");
                self.encode_dictionaries(
                    field,
                    list.values(),
                    encoded_dictionaries,
                    dictionary_tracker,
                    write_options,
                )?;
            }
            DataType::Map(field, _) => {
                let map_array = as_map_array(column);

                let (keys, values) = match field.data_type() {
                    DataType::Struct(fields) if fields.len() == 2 => (&fields[0], &fields[1]),
                    _ => panic!("Incorrect field data type {:?}", field.data_type()),
                };

                // keys
                self.encode_dictionaries(
                    keys,
                    map_array.keys(),
                    encoded_dictionaries,
                    dictionary_tracker,
                    write_options,
                )?;

                // values
                self.encode_dictionaries(
                    values,
                    map_array.values(),
                    encoded_dictionaries,
                    dictionary_tracker,
                    write_options,
                )?;
            }
            DataType::Union(fields, _) => {
                let union = as_union_array(column);
                for (type_id, field) in fields.iter() {
                    let column = union.child(type_id);
                    self.encode_dictionaries(
                        field,
                        column,
                        encoded_dictionaries,
                        dictionary_tracker,
                        write_options,
                    )?;
                }
            }
            _ => (),
        }

        Ok(())
    }

    fn encode_dictionaries(
        &self,
        field: &Field,
        column: &ArrayRef,
        encoded_dictionaries: &mut Vec<EncodedData>,
        dictionary_tracker: &mut DictionaryTracker,
        write_options: &IpcWriteOptions,
    ) -> Result<(), ArrowError> {
        match column.data_type() {
            DataType::Dictionary(_key_type, _value_type) => {
                let dict_id = field
                    .dict_id()
                    .expect("All Dictionary types have `dict_id`");
                let dict_data = column.to_data();
                let dict_values = &dict_data.child_data()[0];

                let values = make_array(dict_data.child_data()[0].clone());

                self._encode_dictionaries(
                    &values,
                    encoded_dictionaries,
                    dictionary_tracker,
                    write_options,
                )?;

                let emit = dictionary_tracker.insert(dict_id, column)?;

                if emit {
                    encoded_dictionaries.push(self.dictionary_batch_to_bytes(
                        dict_id,
                        dict_values,
                        write_options,
                    )?);
                }
            }
            _ => self._encode_dictionaries(
                column,
                encoded_dictionaries,
                dictionary_tracker,
                write_options,
            )?,
        }

        Ok(())
    }

    /// Encodes a batch to a number of [EncodedData] items (dictionary batches + the record batch).
    /// The [DictionaryTracker] keeps track of dictionaries with new `dict_id`s  (so they are only sent once)
    /// Make sure the [DictionaryTracker] is initialized at the start of the stream.
    pub fn encoded_batch(
        &self,
        batch: &RecordBatch,
        dictionary_tracker: &mut DictionaryTracker,
        write_options: &IpcWriteOptions,
    ) -> Result<(Vec<EncodedData>, EncodedData), ArrowError> {
        let schema = batch.schema();
        let mut encoded_dictionaries = Vec::with_capacity(schema.all_fields().len());

        for (i, field) in schema.fields().iter().enumerate() {
            let column = batch.column(i);
            self.encode_dictionaries(
                field,
                column,
                &mut encoded_dictionaries,
                dictionary_tracker,
                write_options,
            )?;
        }

        let encoded_message = self.record_batch_to_bytes(batch, write_options)?;
        Ok((encoded_dictionaries, encoded_message))
    }

    /// Write a `RecordBatch` into two sets of bytes, one for the header (crate::Message) and the
    /// other for the batch's data
    fn record_batch_to_bytes(
        &self,
        batch: &RecordBatch,
        write_options: &IpcWriteOptions,
    ) -> Result<EncodedData, ArrowError> {
        let mut fbb = FlatBufferBuilder::new();

        let mut nodes: Vec<crate::FieldNode> = vec![];
        let mut buffers: Vec<crate::Buffer> = vec![];
        let mut arrow_data: Vec<u8> = vec![];
        let mut offset = 0;

        // get the type of compression
        let batch_compression_type = write_options.batch_compression_type;

        let compression = batch_compression_type.map(|batch_compression_type| {
            let mut c = crate::BodyCompressionBuilder::new(&mut fbb);
            c.add_method(crate::BodyCompressionMethod::BUFFER);
            c.add_codec(batch_compression_type);
            c.finish()
        });

        let compression_codec: Option<CompressionCodec> =
            batch_compression_type.map(TryInto::try_into).transpose()?;

        for array in batch.columns() {
            let array_data = array.to_data();
            offset = write_array_data(
                &array_data,
                &mut buffers,
                &mut arrow_data,
                &mut nodes,
                offset,
                array.len(),
                array.null_count(),
                compression_codec,
                write_options,
            )?;
        }
        // pad the tail of body data
        let len = arrow_data.len();
        let pad_len = pad_to_8(len as u32);
        arrow_data.extend_from_slice(&vec![0u8; pad_len][..]);

        // write data
        let buffers = fbb.create_vector(&buffers);
        let nodes = fbb.create_vector(&nodes);
        let root = {
            let mut batch_builder = crate::RecordBatchBuilder::new(&mut fbb);
            batch_builder.add_length(batch.num_rows() as i64);
            batch_builder.add_nodes(nodes);
            batch_builder.add_buffers(buffers);
            if let Some(c) = compression {
                batch_builder.add_compression(c);
            }
            let b = batch_builder.finish();
            b.as_union_value()
        };
        // create an crate::Message
        let mut message = crate::MessageBuilder::new(&mut fbb);
        message.add_version(write_options.metadata_version);
        message.add_header_type(crate::MessageHeader::RecordBatch);
        message.add_bodyLength(arrow_data.len() as i64);
        message.add_header(root);
        let root = message.finish();
        fbb.finish(root, None);
        let finished_data = fbb.finished_data();

        Ok(EncodedData {
            ipc_message: finished_data.to_vec(),
            arrow_data,
        })
    }

    /// Write dictionary values into two sets of bytes, one for the header (crate::Message) and the
    /// other for the data
    fn dictionary_batch_to_bytes(
        &self,
        dict_id: i64,
        array_data: &ArrayData,
        write_options: &IpcWriteOptions,
    ) -> Result<EncodedData, ArrowError> {
        let mut fbb = FlatBufferBuilder::new();

        let mut nodes: Vec<crate::FieldNode> = vec![];
        let mut buffers: Vec<crate::Buffer> = vec![];
        let mut arrow_data: Vec<u8> = vec![];

        // get the type of compression
        let batch_compression_type = write_options.batch_compression_type;

        let compression = batch_compression_type.map(|batch_compression_type| {
            let mut c = crate::BodyCompressionBuilder::new(&mut fbb);
            c.add_method(crate::BodyCompressionMethod::BUFFER);
            c.add_codec(batch_compression_type);
            c.finish()
        });

        let compression_codec: Option<CompressionCodec> = batch_compression_type
            .map(|batch_compression_type| batch_compression_type.try_into())
            .transpose()?;

        write_array_data(
            array_data,
            &mut buffers,
            &mut arrow_data,
            &mut nodes,
            0,
            array_data.len(),
            array_data.null_count(),
            compression_codec,
            write_options,
        )?;

        // pad the tail of body data
        let len = arrow_data.len();
        let pad_len = pad_to_8(len as u32);
        arrow_data.extend_from_slice(&vec![0u8; pad_len][..]);

        // write data
        let buffers = fbb.create_vector(&buffers);
        let nodes = fbb.create_vector(&nodes);

        let root = {
            let mut batch_builder = crate::RecordBatchBuilder::new(&mut fbb);
            batch_builder.add_length(array_data.len() as i64);
            batch_builder.add_nodes(nodes);
            batch_builder.add_buffers(buffers);
            if let Some(c) = compression {
                batch_builder.add_compression(c);
            }
            batch_builder.finish()
        };

        let root = {
            let mut batch_builder = crate::DictionaryBatchBuilder::new(&mut fbb);
            batch_builder.add_id(dict_id);
            batch_builder.add_data(root);
            batch_builder.finish().as_union_value()
        };

        let root = {
            let mut message_builder = crate::MessageBuilder::new(&mut fbb);
            message_builder.add_version(write_options.metadata_version);
            message_builder.add_header_type(crate::MessageHeader::DictionaryBatch);
            message_builder.add_bodyLength(arrow_data.len() as i64);
            message_builder.add_header(root);
            message_builder.finish()
        };

        fbb.finish(root, None);
        let finished_data = fbb.finished_data();

        Ok(EncodedData {
            ipc_message: finished_data.to_vec(),
            arrow_data,
        })
    }
}

pub(crate) fn unslice_run_array(arr: ArrayData) -> Result<ArrayData, ArrowError> {
    match arr.data_type() {
        DataType::RunEndEncoded(k, _) => match k.data_type() {
            DataType::Int16 => {
                Ok(into_zero_offset_run_array(RunArray::<Int16Type>::from(arr))?.into_data())
            }
            DataType::Int32 => {
                Ok(into_zero_offset_run_array(RunArray::<Int32Type>::from(arr))?.into_data())
            }
            DataType::Int64 => {
                Ok(into_zero_offset_run_array(RunArray::<Int64Type>::from(arr))?.into_data())
            }
            d => unreachable!("Unexpected data type {d}"),
        },
        d => Err(ArrowError::InvalidArgumentError(format!(
            "The given array is not a run array. Data type of given array: {d}"
        ))),
    }
}

// Returns a `RunArray` with zero offset and length matching the last value
// in run_ends array.
fn into_zero_offset_run_array<R: RunEndIndexType>(
    run_array: RunArray<R>,
) -> Result<RunArray<R>, ArrowError> {
    let run_ends = run_array.run_ends();
    if run_ends.offset() == 0 && run_ends.max_value() == run_ends.len() {
        return Ok(run_array);
    }

    // The physical index of original run_ends array from which the `ArrayData`is sliced.
    let start_physical_index = run_ends.get_start_physical_index();

    // The physical index of original run_ends array until which the `ArrayData`is sliced.
    let end_physical_index = run_ends.get_end_physical_index();

    let physical_length = end_physical_index - start_physical_index + 1;

    // build new run_ends array by subtracting offset from run ends.
    let offset = R::Native::usize_as(run_ends.offset());
    let mut builder = BufferBuilder::<R::Native>::new(physical_length);
    for run_end_value in &run_ends.values()[start_physical_index..end_physical_index] {
        builder.append(run_end_value.sub_wrapping(offset));
    }
    builder.append(R::Native::from_usize(run_array.len()).unwrap());
    let new_run_ends = unsafe {
        // Safety:
        // The function builds a valid run_ends array and hence need not be validated.
        ArrayDataBuilder::new(R::DATA_TYPE)
            .len(physical_length)
            .add_buffer(builder.finish())
            .build_unchecked()
    };

    // build new values by slicing physical indices.
    let new_values = run_array
        .values()
        .slice(start_physical_index, physical_length)
        .into_data();

    let builder = ArrayDataBuilder::new(run_array.data_type().clone())
        .len(run_array.len())
        .add_child_data(new_run_ends)
        .add_child_data(new_values);
    let array_data = unsafe {
        // Safety:
        //  This function builds a valid run array and hence can skip validation.
        builder.build_unchecked()
    };
    Ok(array_data.into())
}

/// Keeps track of dictionaries that have been written, to avoid emitting the same dictionary
/// multiple times. Can optionally error if an update to an existing dictionary is attempted, which
/// isn't allowed in the `FileWriter`.
pub struct DictionaryTracker {
    written: HashMap<i64, ArrayData>,
    error_on_replacement: bool,
}

impl DictionaryTracker {
    /// Create a new [`DictionaryTracker`]. If `error_on_replacement`
    /// is true, an error will be generated if an update to an
    /// existing dictionary is attempted.
    pub fn new(error_on_replacement: bool) -> Self {
        Self {
            written: HashMap::new(),
            error_on_replacement,
        }
    }

    /// Keep track of the dictionary with the given ID and values. Behavior:
    ///
    /// * If this ID has been written already and has the same data, return `Ok(false)` to indicate
    ///   that the dictionary was not actually inserted (because it's already been seen).
    /// * If this ID has been written already but with different data, and this tracker is
    ///   configured to return an error, return an error.
    /// * If the tracker has not been configured to error on replacement or this dictionary
    ///   has never been seen before, return `Ok(true)` to indicate that the dictionary was just
    ///   inserted.
    pub fn insert(&mut self, dict_id: i64, column: &ArrayRef) -> Result<bool, ArrowError> {
        let dict_data = column.to_data();
        let dict_values = &dict_data.child_data()[0];

        // If a dictionary with this id was already emitted, check if it was the same.
        if let Some(last) = self.written.get(&dict_id) {
            if ArrayData::ptr_eq(&last.child_data()[0], dict_values) {
                // Same dictionary values => no need to emit it again
                return Ok(false);
            }
            if self.error_on_replacement {
                // If error on replacement perform a logical comparison
                if last.child_data()[0] == *dict_values {
                    // Same dictionary values => no need to emit it again
                    return Ok(false);
                }
                return Err(ArrowError::InvalidArgumentError(
                    "Dictionary replacement detected when writing IPC file format. \
                     Arrow IPC files only support a single dictionary for a given field \
                     across all batches."
                        .to_string(),
                ));
            }
        }

        self.written.insert(dict_id, dict_data);
        Ok(true)
    }
}

pub struct FileWriter<W: Write> {
    /// The object to write to
    writer: BufWriter<W>,
    /// IPC write options
    write_options: IpcWriteOptions,
    /// A reference to the schema, used in validating record batches
    schema: SchemaRef,
    /// The number of bytes between each block of bytes, as an offset for random access
    block_offsets: usize,
    /// Dictionary blocks that will be written as part of the IPC footer
    dictionary_blocks: Vec<crate::Block>,
    /// Record blocks that will be written as part of the IPC footer
    record_blocks: Vec<crate::Block>,
    /// Whether the writer footer has been written, and the writer is finished
    finished: bool,
    /// Keeps track of dictionaries that have been written
    dictionary_tracker: DictionaryTracker,
    /// User level customized metadata
    custom_metadata: HashMap<String, String>,

    data_gen: IpcDataGenerator,
}

impl<W: Write> FileWriter<W> {
    /// Try create a new writer, with the schema written as part of the header
    pub fn try_new(writer: W, schema: &Schema) -> Result<Self, ArrowError> {
        let write_options = IpcWriteOptions::default();
        Self::try_new_with_options(writer, schema, write_options)
    }

    /// Try create a new writer with IpcWriteOptions
    pub fn try_new_with_options(
        writer: W,
        schema: &Schema,
        write_options: IpcWriteOptions,
    ) -> Result<Self, ArrowError> {
        let data_gen = IpcDataGenerator::default();
        let mut writer = BufWriter::new(writer);
        // write magic to header aligned on 8 byte boundary
        let header_size = super::ARROW_MAGIC.len() + 2;
        assert_eq!(header_size, 8);
        writer.write_all(&super::ARROW_MAGIC[..])?;
        writer.write_all(&[0, 0])?;
        // write the schema, set the written bytes to the schema + header
        let encoded_message = data_gen.schema_to_bytes(schema, &write_options);
        let (meta, data) = write_message(&mut writer, encoded_message, &write_options)?;
        Ok(Self {
            writer,
            write_options,
            schema: Arc::new(schema.clone()),
            block_offsets: meta + data + header_size,
            dictionary_blocks: vec![],
            record_blocks: vec![],
            finished: false,
            dictionary_tracker: DictionaryTracker::new(true),
            custom_metadata: HashMap::new(),
            data_gen,
        })
    }

    pub fn write_metadata(&mut self, key: impl Into<String>, value: impl Into<String>) {
        self.custom_metadata.insert(key.into(), value.into());
    }

    /// Write a record batch to the file
    pub fn write(&mut self, batch: &RecordBatch) -> Result<(), ArrowError> {
        if self.finished {
            return Err(ArrowError::IpcError(
                "Cannot write record batch to file writer as it is closed".to_string(),
            ));
        }

        let (encoded_dictionaries, encoded_message) = self.data_gen.encoded_batch(
            batch,
            &mut self.dictionary_tracker,
            &self.write_options,
        )?;

        for encoded_dictionary in encoded_dictionaries {
            let (meta, data) =
                write_message(&mut self.writer, encoded_dictionary, &self.write_options)?;

            let block = crate::Block::new(self.block_offsets as i64, meta as i32, data as i64);
            self.dictionary_blocks.push(block);
            self.block_offsets += meta + data;
        }

        let (meta, data) = write_message(&mut self.writer, encoded_message, &self.write_options)?;
        // add a record block for the footer
        let block = crate::Block::new(
            self.block_offsets as i64,
            meta as i32, // TODO: is this still applicable?
            data as i64,
        );
        self.record_blocks.push(block);
        self.block_offsets += meta + data;
        Ok(())
    }

    /// Write footer and closing tag, then mark the writer as done
    pub fn finish(&mut self) -> Result<(), ArrowError> {
        if self.finished {
            return Err(ArrowError::IpcError(
                "Cannot write footer to file writer as it is closed".to_string(),
            ));
        }

        // write EOS
        write_continuation(&mut self.writer, &self.write_options, 0)?;

        let mut fbb = FlatBufferBuilder::new();
        let dictionaries = fbb.create_vector(&self.dictionary_blocks);
        let record_batches = fbb.create_vector(&self.record_blocks);
        let schema = crate::convert::schema_to_fb_offset(&mut fbb, &self.schema);
        let fb_custom_metadata = (!self.custom_metadata.is_empty())
            .then(|| crate::convert::metadata_to_fb(&mut fbb, &self.custom_metadata));

        let root = {
            let mut footer_builder = crate::FooterBuilder::new(&mut fbb);
            footer_builder.add_version(self.write_options.metadata_version);
            footer_builder.add_schema(schema);
            footer_builder.add_dictionaries(dictionaries);
            footer_builder.add_recordBatches(record_batches);
            if let Some(fb_custom_metadata) = fb_custom_metadata {
                footer_builder.add_custom_metadata(fb_custom_metadata);
            }
            footer_builder.finish()
        };
        fbb.finish(root, None);
        let footer_data = fbb.finished_data();
        self.writer.write_all(footer_data)?;
        self.writer
            .write_all(&(footer_data.len() as i32).to_le_bytes())?;
        self.writer.write_all(&super::ARROW_MAGIC)?;
        self.writer.flush()?;
        self.finished = true;

        Ok(())
    }

    /// Returns the arrow [`SchemaRef`] for this arrow file.
    pub fn schema(&self) -> &SchemaRef {
        &self.schema
    }

    /// Gets a reference to the underlying writer.
    pub fn get_ref(&self) -> &W {
        self.writer.get_ref()
    }

    /// Gets a mutable reference to the underlying writer.
    ///
    /// It is inadvisable to directly write to the underlying writer.
    pub fn get_mut(&mut self) -> &mut W {
        self.writer.get_mut()
    }

    /// Unwraps the BufWriter housed in FileWriter.writer, returning the underlying
    /// writer
    ///
    /// The buffer is flushed and the FileWriter is finished before returning the
    /// writer.
    pub fn into_inner(mut self) -> Result<W, ArrowError> {
        if !self.finished {
            self.finish()?;
        }
        self.writer.into_inner().map_err(ArrowError::from)
    }
}

impl<W: Write> RecordBatchWriter for FileWriter<W> {
    fn write(&mut self, batch: &RecordBatch) -> Result<(), ArrowError> {
        self.write(batch)
    }

    fn close(mut self) -> Result<(), ArrowError> {
        self.finish()
    }
}

pub struct StreamWriter<W: Write> {
    /// The object to write to
    writer: BufWriter<W>,
    /// IPC write options
    write_options: IpcWriteOptions,
    /// Whether the writer footer has been written, and the writer is finished
    finished: bool,
    /// Keeps track of dictionaries that have been written
    dictionary_tracker: DictionaryTracker,

    data_gen: IpcDataGenerator,
}

impl<W: Write> StreamWriter<W> {
    /// Try create a new writer, with the schema written as part of the header
    pub fn try_new(writer: W, schema: &Schema) -> Result<Self, ArrowError> {
        let write_options = IpcWriteOptions::default();
        Self::try_new_with_options(writer, schema, write_options)
    }

    pub fn try_new_with_options(
        writer: W,
        schema: &Schema,
        write_options: IpcWriteOptions,
    ) -> Result<Self, ArrowError> {
        let data_gen = IpcDataGenerator::default();
        let mut writer = BufWriter::new(writer);
        // write the schema, set the written bytes to the schema
        let encoded_message = data_gen.schema_to_bytes(schema, &write_options);
        write_message(&mut writer, encoded_message, &write_options)?;
        Ok(Self {
            writer,
            write_options,
            finished: false,
            dictionary_tracker: DictionaryTracker::new(false),
            data_gen,
        })
    }

    /// Write a record batch to the stream
    pub fn write(&mut self, batch: &RecordBatch) -> Result<(), ArrowError> {
        if self.finished {
            return Err(ArrowError::IpcError(
                "Cannot write record batch to stream writer as it is closed".to_string(),
            ));
        }

        let (encoded_dictionaries, encoded_message) = self
            .data_gen
            .encoded_batch(batch, &mut self.dictionary_tracker, &self.write_options)
            .expect("StreamWriter is configured to not error on dictionary replacement");

        for encoded_dictionary in encoded_dictionaries {
            write_message(&mut self.writer, encoded_dictionary, &self.write_options)?;
        }

        write_message(&mut self.writer, encoded_message, &self.write_options)?;
        Ok(())
    }

    /// Write continuation bytes, and mark the stream as done
    pub fn finish(&mut self) -> Result<(), ArrowError> {
        if self.finished {
            return Err(ArrowError::IpcError(
                "Cannot write footer to stream writer as it is closed".to_string(),
            ));
        }

        write_continuation(&mut self.writer, &self.write_options, 0)?;

        self.finished = true;

        Ok(())
    }

    /// Gets a reference to the underlying writer.
    pub fn get_ref(&self) -> &W {
        self.writer.get_ref()
    }

    /// Gets a mutable reference to the underlying writer.
    ///
    /// It is inadvisable to directly write to the underlying writer.
    pub fn get_mut(&mut self) -> &mut W {
        self.writer.get_mut()
    }

    /// Unwraps the BufWriter housed in StreamWriter.writer, returning the underlying
    /// writer
    ///
    /// The buffer is flushed and the StreamWriter is finished before returning the
    /// writer.
    ///
    /// # Errors
    ///
    /// An ['Err'] may be returned if an error occurs while finishing the StreamWriter
    /// or while flushing the buffer.
    ///
    /// # Example
    ///
    /// ```
    /// # use arrow_ipc::writer::{StreamWriter, IpcWriteOptions};
    /// # use arrow_ipc::MetadataVersion;
    /// # use arrow_schema::{ArrowError, Schema};
    /// # fn main() -> Result<(), ArrowError> {
    /// // The result we expect from an empty schema
    /// let expected = vec![
    ///     255, 255, 255, 255,  48,   0,   0,   0,
    ///      16,   0,   0,   0,   0,   0,  10,   0,
    ///      12,   0,  10,   0,   9,   0,   4,   0,
    ///      10,   0,   0,   0,  16,   0,   0,   0,
    ///       0,   1,   4,   0,   8,   0,   8,   0,
    ///       0,   0,   4,   0,   8,   0,   0,   0,
    ///       4,   0,   0,   0,   0,   0,   0,   0,
    ///     255, 255, 255, 255,   0,   0,   0,   0
    /// ];
    ///
    /// let schema = Schema::empty();
    /// let buffer: Vec<u8> = Vec::new();
    /// let options = IpcWriteOptions::try_new(8, false, MetadataVersion::V5)?;
    /// let stream_writer = StreamWriter::try_new_with_options(buffer, &schema, options)?;
    ///
    /// assert_eq!(stream_writer.into_inner()?, expected);
    /// # Ok(())
    /// # }
    /// ```
    pub fn into_inner(mut self) -> Result<W, ArrowError> {
        if !self.finished {
            self.finish()?;
        }
        self.writer.into_inner().map_err(ArrowError::from)
    }
}

impl<W: Write> RecordBatchWriter for StreamWriter<W> {
    fn write(&mut self, batch: &RecordBatch) -> Result<(), ArrowError> {
        self.write(batch)
    }

    fn close(mut self) -> Result<(), ArrowError> {
        self.finish()
    }
}

/// Stores the encoded data, which is an crate::Message, and optional Arrow data
pub struct EncodedData {
    /// An encoded crate::Message
    pub ipc_message: Vec<u8>,
    /// Arrow buffers to be written, should be an empty vec for schema messages
    pub arrow_data: Vec<u8>,
}
/// Write a message's IPC data and buffers, returning metadata and buffer data lengths written
pub fn write_message<W: Write>(
    mut writer: W,
    encoded: EncodedData,
    write_options: &IpcWriteOptions,
) -> Result<(usize, usize), ArrowError> {
    let arrow_data_len = encoded.arrow_data.len();
    if arrow_data_len % 8 != 0 {
        return Err(ArrowError::MemoryError(
            "Arrow data not aligned".to_string(),
        ));
    }

    let a = write_options.alignment - 1;
    let buffer = encoded.ipc_message;
    let flatbuf_size = buffer.len();
    let prefix_size = if write_options.write_legacy_ipc_format {
        4
    } else {
        8
    };
    let aligned_size = (flatbuf_size + prefix_size + a) & !a;
    let padding_bytes = aligned_size - flatbuf_size - prefix_size;

    write_continuation(
        &mut writer,
        write_options,
        (aligned_size - prefix_size) as i32,
    )?;

    // write the flatbuf
    if flatbuf_size > 0 {
        writer.write_all(&buffer)?;
    }
    // write padding
    writer.write_all(&vec![0; padding_bytes])?;

    // write arrow data
    let body_len = if arrow_data_len > 0 {
        write_body_buffers(&mut writer, &encoded.arrow_data)?
    } else {
        0
    };

    Ok((aligned_size, body_len))
}

fn write_body_buffers<W: Write>(mut writer: W, data: &[u8]) -> Result<usize, ArrowError> {
    let len = data.len() as u32;
    let pad_len = pad_to_8(len) as u32;
    let total_len = len + pad_len;

    // write body buffer
    writer.write_all(data)?;
    if pad_len > 0 {
        writer.write_all(&vec![0u8; pad_len as usize][..])?;
    }

    writer.flush()?;
    Ok(total_len as usize)
}

/// Write a record batch to the writer, writing the message size before the message
/// if the record batch is being written to a stream
fn write_continuation<W: Write>(
    mut writer: W,
    write_options: &IpcWriteOptions,
    total_len: i32,
) -> Result<usize, ArrowError> {
    let mut written = 8;

    // the version of the writer determines whether continuation markers should be added
    match write_options.metadata_version {
        crate::MetadataVersion::V1 | crate::MetadataVersion::V2 | crate::MetadataVersion::V3 => {
            unreachable!("Options with the metadata version cannot be created")
        }
        crate::MetadataVersion::V4 => {
            if !write_options.write_legacy_ipc_format {
                // v0.15.0 format
                writer.write_all(&CONTINUATION_MARKER)?;
                written = 4;
            }
            writer.write_all(&total_len.to_le_bytes()[..])?;
        }
        crate::MetadataVersion::V5 => {
            // write continuation marker and message length
            writer.write_all(&CONTINUATION_MARKER)?;
            writer.write_all(&total_len.to_le_bytes()[..])?;
        }
        z => panic!("Unsupported crate::MetadataVersion {z:?}"),
    };

    writer.flush()?;

    Ok(written)
}

/// In V4, null types have no validity bitmap
/// In V5 and later, null and union types have no validity bitmap
/// Run end encoded type has no validity bitmap.
fn has_validity_bitmap(data_type: &DataType, write_options: &IpcWriteOptions) -> bool {
    if write_options.metadata_version < crate::MetadataVersion::V5 {
        !matches!(data_type, DataType::Null)
    } else {
        !matches!(
            data_type,
            DataType::Null | DataType::Union(_, _) | DataType::RunEndEncoded(_, _)
        )
    }
}

/// Whether to truncate the buffer
#[inline]
fn buffer_need_truncate(
    array_offset: usize,
    buffer: &Buffer,
    spec: &BufferSpec,
    min_length: usize,
) -> bool {
    spec != &BufferSpec::AlwaysNull && (array_offset != 0 || min_length < buffer.len())
}

/// Returns byte width for a buffer spec. Only for `BufferSpec::FixedWidth`.
#[inline]
fn get_buffer_element_width(spec: &BufferSpec) -> usize {
    match spec {
        BufferSpec::FixedWidth { byte_width, .. } => *byte_width,
        _ => 0,
    }
}

/// Common functionality for re-encoding offsets. Returns the new offsets as well as
/// original start offset and length for use in slicing child data.
fn reencode_offsets<O: OffsetSizeTrait>(
    offsets: &Buffer,
    data: &ArrayData,
) -> (Buffer, usize, usize) {
    let offsets_slice: &[O] = offsets.typed_data::<O>();
    let offset_slice = &offsets_slice[data.offset()..data.offset() + data.len() + 1];

    let start_offset = offset_slice.first().unwrap();
    let end_offset = offset_slice.last().unwrap();

    let offsets = match start_offset.as_usize() {
        0 => offsets.clone(),
        _ => offset_slice.iter().map(|x| *x - *start_offset).collect(),
    };

    let start_offset = start_offset.as_usize();
    let end_offset = end_offset.as_usize();

    (offsets, start_offset, end_offset - start_offset)
}

/// Returns the values and offsets [`Buffer`] for a ByteArray with offset type `O`
///
/// In particular, this handles re-encoding the offsets if they don't start at `0`,
/// slicing the values buffer as appropriate. This helps reduce the encoded
/// size of sliced arrays, as values that have been sliced away are not encoded
fn get_byte_array_buffers<O: OffsetSizeTrait>(data: &ArrayData) -> (Buffer, Buffer) {
    if data.is_empty() {
        return (MutableBuffer::new(0).into(), MutableBuffer::new(0).into());
    }

    let (offsets, original_start_offset, len) = reencode_offsets::<O>(&data.buffers()[0], data);
    let values = data.buffers()[1].slice_with_length(original_start_offset, len);
    (offsets, values)
}

/// Similar logic as [`get_byte_array_buffers()`] but slices the child array instead
/// of a values buffer.
fn get_list_array_buffers<O: OffsetSizeTrait>(data: &ArrayData) -> (Buffer, ArrayData) {
    if data.is_empty() {
        return (
            MutableBuffer::new(0).into(),
            data.child_data()[0].slice(0, 0),
        );
    }

    let (offsets, original_start_offset, len) = reencode_offsets::<O>(&data.buffers()[0], data);
    let child_data = data.child_data()[0].slice(original_start_offset, len);
    (offsets, child_data)
}

/// Write array data to a vector of bytes
#[allow(clippy::too_many_arguments)]
fn write_array_data(
    array_data: &ArrayData,
    buffers: &mut Vec<crate::Buffer>,
    arrow_data: &mut Vec<u8>,
    nodes: &mut Vec<crate::FieldNode>,
    offset: i64,
    num_rows: usize,
    null_count: usize,
    compression_codec: Option<CompressionCodec>,
    write_options: &IpcWriteOptions,
) -> Result<i64, ArrowError> {
    let mut offset = offset;
    if !matches!(array_data.data_type(), DataType::Null) {
        nodes.push(crate::FieldNode::new(num_rows as i64, null_count as i64));
    } else {
        // NullArray's null_count equals to len, but the `null_count` passed in is from ArrayData
        // where null_count is always 0.
        nodes.push(crate::FieldNode::new(num_rows as i64, num_rows as i64));
    }
    if has_validity_bitmap(array_data.data_type(), write_options) {
        // write null buffer if exists
        let null_buffer = match array_data.nulls() {
            None => {
                // create a buffer and fill it with valid bits
                let num_bytes = bit_util::ceil(num_rows, 8);
                let buffer = MutableBuffer::new(num_bytes);
                let buffer = buffer.with_bitset(num_bytes, true);
                buffer.into()
            }
            Some(buffer) => buffer.inner().sliced(),
        };

        offset = write_buffer(
            null_buffer.as_slice(),
            buffers,
            arrow_data,
            offset,
            compression_codec,
        )?;
    }

    let data_type = array_data.data_type();
    if matches!(data_type, DataType::Binary | DataType::Utf8) {
        let (offsets, values) = get_byte_array_buffers::<i32>(array_data);
        for buffer in [offsets, values] {
            offset = write_buffer(
                buffer.as_slice(),
                buffers,
                arrow_data,
                offset,
                compression_codec,
            )?;
        }
    } else if matches!(data_type, DataType::LargeBinary | DataType::LargeUtf8) {
        let (offsets, values) = get_byte_array_buffers::<i64>(array_data);
        for buffer in [offsets, values] {
            offset = write_buffer(
                buffer.as_slice(),
                buffers,
                arrow_data,
                offset,
                compression_codec,
            )?;
        }
    } else if DataType::is_numeric(data_type)
        || DataType::is_temporal(data_type)
        || matches!(
            array_data.data_type(),
            DataType::FixedSizeBinary(_) | DataType::Dictionary(_, _)
        )
    {
        // Truncate values
        assert_eq!(array_data.buffers().len(), 1);

        let buffer = &array_data.buffers()[0];
        let layout = layout(data_type);
        let spec = &layout.buffers[0];

        let byte_width = get_buffer_element_width(spec);
        let min_length = array_data.len() * byte_width;
        let buffer_slice = if buffer_need_truncate(array_data.offset(), buffer, spec, min_length) {
            let byte_offset = array_data.offset() * byte_width;
            let buffer_length = min(min_length, buffer.len() - byte_offset);
            &buffer.as_slice()[byte_offset..(byte_offset + buffer_length)]
        } else {
            buffer.as_slice()
        };
        offset = write_buffer(buffer_slice, buffers, arrow_data, offset, compression_codec)?;
    } else if matches!(data_type, DataType::Boolean) {
        // Bools are special because the payload (= 1 bit) is smaller than the physical container elements (= bytes).
        // The array data may not start at the physical boundary of the underlying buffer, so we need to shift bits around.
        assert_eq!(array_data.buffers().len(), 1);

        let buffer = &array_data.buffers()[0];
        let buffer = buffer.bit_slice(array_data.offset(), array_data.len());
        offset = write_buffer(&buffer, buffers, arrow_data, offset, compression_codec)?;
    } else if matches!(
        data_type,
        DataType::List(_) | DataType::LargeList(_) | DataType::Map(_, _)
    ) {
        assert_eq!(array_data.buffers().len(), 1);
        assert_eq!(array_data.child_data().len(), 1);

        // Truncate offsets and the child data to avoid writing unnecessary data
        let (offsets, sliced_child_data) = match data_type {
            DataType::List(_) => get_list_array_buffers::<i32>(array_data),
            DataType::Map(_, _) => get_list_array_buffers::<i32>(array_data),
            DataType::LargeList(_) => get_list_array_buffers::<i64>(array_data),
            _ => unreachable!(),
        };
        offset = write_buffer(
            offsets.as_slice(),
            buffers,
            arrow_data,
            offset,
            compression_codec,
        )?;
        offset = write_array_data(
            &sliced_child_data,
            buffers,
            arrow_data,
            nodes,
            offset,
            sliced_child_data.len(),
            sliced_child_data.null_count(),
            compression_codec,
            write_options,
        )?;
        return Ok(offset);
    } else {
        for buffer in array_data.buffers() {
            offset = write_buffer(buffer, buffers, arrow_data, offset, compression_codec)?;
        }
    }

    match array_data.data_type() {
        DataType::Dictionary(_, _) => {}
        DataType::RunEndEncoded(_, _) => {
            // unslice the run encoded array.
            let arr = unslice_run_array(array_data.clone())?;
            // recursively write out nested structures
            for data_ref in arr.child_data() {
                // write the nested data (e.g list data)
                offset = write_array_data(
                    data_ref,
                    buffers,
                    arrow_data,
                    nodes,
                    offset,
                    data_ref.len(),
                    data_ref.null_count(),
                    compression_codec,
                    write_options,
                )?;
            }
        }
        _ => {
            // recursively write out nested structures
            for data_ref in array_data.child_data() {
                // write the nested data (e.g list data)
                offset = write_array_data(
                    data_ref,
                    buffers,
                    arrow_data,
                    nodes,
                    offset,
                    data_ref.len(),
                    data_ref.null_count(),
                    compression_codec,
                    write_options,
                )?;
            }
        }
    }
    Ok(offset)
}

/// Write a buffer into `arrow_data`, a vector of bytes, and adds its
/// [`crate::Buffer`] to `buffers`. Returns the new offset in `arrow_data`
///
///
/// From <https://github.com/apache/arrow/blob/6a936c4ff5007045e86f65f1a6b6c3c955ad5103/format/Message.fbs#L58>
/// Each constituent buffer is first compressed with the indicated
/// compressor, and then written with the uncompressed length in the first 8
/// bytes as a 64-bit little-endian signed integer followed by the compressed
/// buffer bytes (and then padding as required by the protocol). The
/// uncompressed length may be set to -1 to indicate that the data that
/// follows is not compressed, which can be useful for cases where
/// compression does not yield appreciable savings.
fn write_buffer(
    buffer: &[u8],                    // input
    buffers: &mut Vec<crate::Buffer>, // output buffer descriptors
    arrow_data: &mut Vec<u8>,         // output stream
    offset: i64,                      // current output stream offset
    compression_codec: Option<CompressionCodec>,
) -> Result<i64, ArrowError> {
    let len: i64 = match compression_codec {
        Some(compressor) => compressor.compress_to_vec(buffer, arrow_data)?,
        None => {
            arrow_data.extend_from_slice(buffer);
            buffer.len()
        }
    }
    .try_into()
    .map_err(|e| {
        ArrowError::InvalidArgumentError(format!("Could not convert compressed size to i64: {e}"))
    })?;

    // make new index entry
    buffers.push(crate::Buffer::new(offset, len));
    // padding and make offset 8 bytes aligned
    let pad_len = pad_to_8(len as u32) as i64;
    arrow_data.extend_from_slice(&vec![0u8; pad_len as usize][..]);

    Ok(offset + len + pad_len)
}

/// Calculate an 8-byte boundary and return the number of bytes needed to pad to 8 bytes
#[inline]
fn pad_to_8(len: u32) -> usize {
    (((len + 7) & !7) - len) as usize
}

#[cfg(test)]
mod tests {
    use std::io::Cursor;
    use std::io::Seek;
    use std::sync::Arc;

    use arrow_array::builder::GenericListBuilder;
    use arrow_array::builder::MapBuilder;
    use arrow_array::builder::UnionBuilder;
    use arrow_array::builder::{PrimitiveRunBuilder, UInt32Builder};
    use arrow_array::types::*;
    use arrow_schema::DataType;

    use crate::reader::*;
    use crate::MetadataVersion;

    use super::*;

    fn serialize_file(rb: &RecordBatch) -> Vec<u8> {
        let mut writer = FileWriter::try_new(vec![], &rb.schema()).unwrap();
        writer.write(rb).unwrap();
        writer.finish().unwrap();
        writer.into_inner().unwrap()
    }

    fn deserialize_file(bytes: Vec<u8>) -> RecordBatch {
        let mut reader = FileReader::try_new(Cursor::new(bytes), None).unwrap();
        reader.next().unwrap().unwrap()
    }

    fn serialize_stream(record: &RecordBatch) -> Vec<u8> {
        let mut stream_writer = StreamWriter::try_new(vec![], &record.schema()).unwrap();
        stream_writer.write(record).unwrap();
        stream_writer.finish().unwrap();
        stream_writer.into_inner().unwrap()
    }

    fn deserialize_stream(bytes: Vec<u8>) -> RecordBatch {
        let mut stream_reader = StreamReader::try_new(Cursor::new(bytes), None).unwrap();
        stream_reader.next().unwrap().unwrap()
    }

    #[test]
    #[cfg(feature = "lz4")]
    fn test_write_empty_record_batch_lz4_compression() {
        let schema = Schema::new(vec![Field::new("field1", DataType::Int32, true)]);
        let values: Vec<Option<i32>> = vec![];
        let array = Int32Array::from(values);
        let record_batch =
            RecordBatch::try_new(Arc::new(schema.clone()), vec![Arc::new(array)]).unwrap();

        let mut file = tempfile::tempfile().unwrap();

        {
            let write_option = IpcWriteOptions::try_new(8, false, crate::MetadataVersion::V5)
                .unwrap()
                .try_with_compression(Some(crate::CompressionType::LZ4_FRAME))
                .unwrap();

            let mut writer =
                FileWriter::try_new_with_options(&mut file, &schema, write_option).unwrap();
            writer.write(&record_batch).unwrap();
            writer.finish().unwrap();
        }
        file.rewind().unwrap();
        {
            // read file
            let reader = FileReader::try_new(file, None).unwrap();
            for read_batch in reader {
                read_batch
                    .unwrap()
                    .columns()
                    .iter()
                    .zip(record_batch.columns())
                    .for_each(|(a, b)| {
                        assert_eq!(a.data_type(), b.data_type());
                        assert_eq!(a.len(), b.len());
                        assert_eq!(a.null_count(), b.null_count());
                    });
            }
        }
    }

    #[test]
    #[cfg(feature = "lz4")]
    fn test_write_file_with_lz4_compression() {
        let schema = Schema::new(vec![Field::new("field1", DataType::Int32, true)]);
        let values: Vec<Option<i32>> = vec![Some(12), Some(1)];
        let array = Int32Array::from(values);
        let record_batch =
            RecordBatch::try_new(Arc::new(schema.clone()), vec![Arc::new(array)]).unwrap();

        let mut file = tempfile::tempfile().unwrap();
        {
            let write_option = IpcWriteOptions::try_new(8, false, crate::MetadataVersion::V5)
                .unwrap()
                .try_with_compression(Some(crate::CompressionType::LZ4_FRAME))
                .unwrap();

            let mut writer =
                FileWriter::try_new_with_options(&mut file, &schema, write_option).unwrap();
            writer.write(&record_batch).unwrap();
            writer.finish().unwrap();
        }
        file.rewind().unwrap();
        {
            // read file
            let reader = FileReader::try_new(file, None).unwrap();
            for read_batch in reader {
                read_batch
                    .unwrap()
                    .columns()
                    .iter()
                    .zip(record_batch.columns())
                    .for_each(|(a, b)| {
                        assert_eq!(a.data_type(), b.data_type());
                        assert_eq!(a.len(), b.len());
                        assert_eq!(a.null_count(), b.null_count());
                    });
            }
        }
    }

    #[test]
    #[cfg(feature = "zstd")]
    fn test_write_file_with_zstd_compression() {
        let schema = Schema::new(vec![Field::new("field1", DataType::Int32, true)]);
        let values: Vec<Option<i32>> = vec![Some(12), Some(1)];
        let array = Int32Array::from(values);
        let record_batch =
            RecordBatch::try_new(Arc::new(schema.clone()), vec![Arc::new(array)]).unwrap();
        let mut file = tempfile::tempfile().unwrap();
        {
            let write_option = IpcWriteOptions::try_new(8, false, crate::MetadataVersion::V5)
                .unwrap()
                .try_with_compression(Some(crate::CompressionType::ZSTD))
                .unwrap();

            let mut writer =
                FileWriter::try_new_with_options(&mut file, &schema, write_option).unwrap();
            writer.write(&record_batch).unwrap();
            writer.finish().unwrap();
        }
        file.rewind().unwrap();
        {
            // read file
            let reader = FileReader::try_new(file, None).unwrap();
            for read_batch in reader {
                read_batch
                    .unwrap()
                    .columns()
                    .iter()
                    .zip(record_batch.columns())
                    .for_each(|(a, b)| {
                        assert_eq!(a.data_type(), b.data_type());
                        assert_eq!(a.len(), b.len());
                        assert_eq!(a.null_count(), b.null_count());
                    });
            }
        }
    }

    #[test]
    fn test_write_file() {
        let schema = Schema::new(vec![Field::new("field1", DataType::UInt32, true)]);
        let values: Vec<Option<u32>> = vec![
            Some(999),
            None,
            Some(235),
            Some(123),
            None,
            None,
            None,
            None,
            None,
        ];
        let array1 = UInt32Array::from(values);
        let batch =
            RecordBatch::try_new(Arc::new(schema.clone()), vec![Arc::new(array1) as ArrayRef])
                .unwrap();
        let mut file = tempfile::tempfile().unwrap();
        {
            let mut writer = FileWriter::try_new(&mut file, &schema).unwrap();

            writer.write(&batch).unwrap();
            writer.finish().unwrap();
        }
        file.rewind().unwrap();

        {
            let mut reader = FileReader::try_new(file, None).unwrap();
            while let Some(Ok(read_batch)) = reader.next() {
                read_batch
                    .columns()
                    .iter()
                    .zip(batch.columns())
                    .for_each(|(a, b)| {
                        assert_eq!(a.data_type(), b.data_type());
                        assert_eq!(a.len(), b.len());
                        assert_eq!(a.null_count(), b.null_count());
                    });
            }
        }
    }

    fn write_null_file(options: IpcWriteOptions) {
        let schema = Schema::new(vec![
            Field::new("nulls", DataType::Null, true),
            Field::new("int32s", DataType::Int32, false),
            Field::new("nulls2", DataType::Null, true),
            Field::new("f64s", DataType::Float64, false),
        ]);
        let array1 = NullArray::new(32);
        let array2 = Int32Array::from(vec![1; 32]);
        let array3 = NullArray::new(32);
        let array4 = Float64Array::from(vec![std::f64::NAN; 32]);
        let batch = RecordBatch::try_new(
            Arc::new(schema.clone()),
            vec![
                Arc::new(array1) as ArrayRef,
                Arc::new(array2) as ArrayRef,
                Arc::new(array3) as ArrayRef,
                Arc::new(array4) as ArrayRef,
            ],
        )
        .unwrap();
        let mut file = tempfile::tempfile().unwrap();
        {
            let mut writer = FileWriter::try_new_with_options(&mut file, &schema, options).unwrap();

            writer.write(&batch).unwrap();
            writer.finish().unwrap();
        }

        file.rewind().unwrap();

        {
            let reader = FileReader::try_new(file, None).unwrap();
            reader.for_each(|maybe_batch| {
                maybe_batch
                    .unwrap()
                    .columns()
                    .iter()
                    .zip(batch.columns())
                    .for_each(|(a, b)| {
                        assert_eq!(a.data_type(), b.data_type());
                        assert_eq!(a.len(), b.len());
                        assert_eq!(a.null_count(), b.null_count());
                    });
            });
        }
    }
    #[test]
    fn test_write_null_file_v4() {
        write_null_file(IpcWriteOptions::try_new(8, false, MetadataVersion::V4).unwrap());
        write_null_file(IpcWriteOptions::try_new(8, true, MetadataVersion::V4).unwrap());
        write_null_file(IpcWriteOptions::try_new(64, false, MetadataVersion::V4).unwrap());
        write_null_file(IpcWriteOptions::try_new(64, true, MetadataVersion::V4).unwrap());
    }

    #[test]
    fn test_write_null_file_v5() {
        write_null_file(IpcWriteOptions::try_new(8, false, MetadataVersion::V5).unwrap());
        write_null_file(IpcWriteOptions::try_new(64, false, MetadataVersion::V5).unwrap());
    }

    #[test]
    fn track_union_nested_dict() {
        let inner: DictionaryArray<Int32Type> = vec!["a", "b", "a"].into_iter().collect();

        let array = Arc::new(inner) as ArrayRef;

        // Dict field with id 2
        let dctfield = Field::new_dict("dict", array.data_type().clone(), false, 2, false);

        let types = Buffer::from_slice_ref([0_i8, 0, 0]);
        let offsets = Buffer::from_slice_ref([0_i32, 1, 2]);

        let union =
            UnionArray::try_new(&[0], types, Some(offsets), vec![(dctfield, array)]).unwrap();

        let schema = Arc::new(Schema::new(vec![Field::new(
            "union",
            union.data_type().clone(),
            false,
        )]));

        let batch = RecordBatch::try_new(schema, vec![Arc::new(union)]).unwrap();

        let gen = IpcDataGenerator {};
        let mut dict_tracker = DictionaryTracker::new(false);
        gen.encoded_batch(&batch, &mut dict_tracker, &Default::default())
            .unwrap();

        // Dictionary with id 2 should have been written to the dict tracker
        assert!(dict_tracker.written.contains_key(&2));
    }

    #[test]
    fn track_struct_nested_dict() {
        let inner: DictionaryArray<Int32Type> = vec!["a", "b", "a"].into_iter().collect();

        let array = Arc::new(inner) as ArrayRef;

        // Dict field with id 2
        let dctfield = Arc::new(Field::new_dict(
            "dict",
            array.data_type().clone(),
            false,
            2,
            false,
        ));

        let s = StructArray::from(vec![(dctfield, array)]);
        let struct_array = Arc::new(s) as ArrayRef;

        let schema = Arc::new(Schema::new(vec![Field::new(
            "struct",
            struct_array.data_type().clone(),
            false,
        )]));

        let batch = RecordBatch::try_new(schema, vec![struct_array]).unwrap();

        let gen = IpcDataGenerator {};
        let mut dict_tracker = DictionaryTracker::new(false);
        gen.encoded_batch(&batch, &mut dict_tracker, &Default::default())
            .unwrap();

        // Dictionary with id 2 should have been written to the dict tracker
        assert!(dict_tracker.written.contains_key(&2));
    }

    fn write_union_file(options: IpcWriteOptions) {
        let schema = Schema::new(vec![Field::new_union(
            "union",
            vec![0, 1],
            vec![
                Field::new("a", DataType::Int32, false),
                Field::new("c", DataType::Float64, false),
            ],
            UnionMode::Sparse,
        )]);
        let mut builder = UnionBuilder::with_capacity_sparse(5);
        builder.append::<Int32Type>("a", 1).unwrap();
        builder.append_null::<Int32Type>("a").unwrap();
        builder.append::<Float64Type>("c", 3.0).unwrap();
        builder.append_null::<Float64Type>("c").unwrap();
        builder.append::<Int32Type>("a", 4).unwrap();
        let union = builder.build().unwrap();

        let batch =
            RecordBatch::try_new(Arc::new(schema.clone()), vec![Arc::new(union) as ArrayRef])
                .unwrap();

        let mut file = tempfile::tempfile().unwrap();
        {
            let mut writer = FileWriter::try_new_with_options(&mut file, &schema, options).unwrap();

            writer.write(&batch).unwrap();
            writer.finish().unwrap();
        }
        file.rewind().unwrap();

        {
            let reader = FileReader::try_new(file, None).unwrap();
            reader.for_each(|maybe_batch| {
                maybe_batch
                    .unwrap()
                    .columns()
                    .iter()
                    .zip(batch.columns())
                    .for_each(|(a, b)| {
                        assert_eq!(a.data_type(), b.data_type());
                        assert_eq!(a.len(), b.len());
                        assert_eq!(a.null_count(), b.null_count());
                    });
            });
        }
    }

    #[test]
    fn test_write_union_file_v4_v5() {
        write_union_file(IpcWriteOptions::try_new(8, false, MetadataVersion::V4).unwrap());
        write_union_file(IpcWriteOptions::try_new(8, false, MetadataVersion::V5).unwrap());
    }

    #[test]
    fn truncate_ipc_record_batch() {
        fn create_batch(rows: usize) -> RecordBatch {
            let schema = Schema::new(vec![
                Field::new("a", DataType::Int32, false),
                Field::new("b", DataType::Utf8, false),
            ]);

            let a = Int32Array::from_iter_values(0..rows as i32);
            let b = StringArray::from_iter_values((0..rows).map(|i| i.to_string()));

            RecordBatch::try_new(Arc::new(schema), vec![Arc::new(a), Arc::new(b)]).unwrap()
        }

        let big_record_batch = create_batch(65536);

        let length = 5;
        let small_record_batch = create_batch(length);

        let offset = 2;
        let record_batch_slice = big_record_batch.slice(offset, length);
        assert!(
            serialize_stream(&big_record_batch).len() > serialize_stream(&small_record_batch).len()
        );
        assert_eq!(
            serialize_stream(&small_record_batch).len(),
            serialize_stream(&record_batch_slice).len()
        );

        assert_eq!(
            deserialize_stream(serialize_stream(&record_batch_slice)),
            record_batch_slice
        );
    }

    #[test]
    fn truncate_ipc_record_batch_with_nulls() {
        fn create_batch() -> RecordBatch {
            let schema = Schema::new(vec![
                Field::new("a", DataType::Int32, true),
                Field::new("b", DataType::Utf8, true),
            ]);

            let a = Int32Array::from(vec![Some(1), None, Some(1), None, Some(1)]);
            let b = StringArray::from(vec![None, Some("a"), Some("a"), None, Some("a")]);

            RecordBatch::try_new(Arc::new(schema), vec![Arc::new(a), Arc::new(b)]).unwrap()
        }

        let record_batch = create_batch();
        let record_batch_slice = record_batch.slice(1, 2);
        let deserialized_batch = deserialize_stream(serialize_stream(&record_batch_slice));

        assert!(
            serialize_stream(&record_batch).len() > serialize_stream(&record_batch_slice).len()
        );

        assert!(deserialized_batch.column(0).is_null(0));
        assert!(deserialized_batch.column(0).is_valid(1));
        assert!(deserialized_batch.column(1).is_valid(0));
        assert!(deserialized_batch.column(1).is_valid(1));

        assert_eq!(record_batch_slice, deserialized_batch);
    }

    #[test]
    fn truncate_ipc_dictionary_array() {
        fn create_batch() -> RecordBatch {
            let values: StringArray = [Some("foo"), Some("bar"), Some("baz")]
                .into_iter()
                .collect();
            let keys: Int32Array = [Some(0), Some(2), None, Some(1)].into_iter().collect();

            let array = DictionaryArray::new(keys, Arc::new(values));

            let schema = Schema::new(vec![Field::new("dict", array.data_type().clone(), true)]);

            RecordBatch::try_new(Arc::new(schema), vec![Arc::new(array)]).unwrap()
        }

        let record_batch = create_batch();
        let record_batch_slice = record_batch.slice(1, 2);
        let deserialized_batch = deserialize_stream(serialize_stream(&record_batch_slice));

        assert!(
            serialize_stream(&record_batch).len() > serialize_stream(&record_batch_slice).len()
        );

        assert!(deserialized_batch.column(0).is_valid(0));
        assert!(deserialized_batch.column(0).is_null(1));

        assert_eq!(record_batch_slice, deserialized_batch);
    }

    #[test]
    fn truncate_ipc_struct_array() {
        fn create_batch() -> RecordBatch {
            let strings: StringArray = [Some("foo"), None, Some("bar"), Some("baz")]
                .into_iter()
                .collect();
            let ints: Int32Array = [Some(0), Some(2), None, Some(1)].into_iter().collect();

            let struct_array = StructArray::from(vec![
                (
                    Arc::new(Field::new("s", DataType::Utf8, true)),
                    Arc::new(strings) as ArrayRef,
                ),
                (
                    Arc::new(Field::new("c", DataType::Int32, true)),
                    Arc::new(ints) as ArrayRef,
                ),
            ]);

            let schema = Schema::new(vec![Field::new(
                "struct_array",
                struct_array.data_type().clone(),
                true,
            )]);

            RecordBatch::try_new(Arc::new(schema), vec![Arc::new(struct_array)]).unwrap()
        }

        let record_batch = create_batch();
        let record_batch_slice = record_batch.slice(1, 2);
        let deserialized_batch = deserialize_stream(serialize_stream(&record_batch_slice));

        assert!(
            serialize_stream(&record_batch).len() > serialize_stream(&record_batch_slice).len()
        );

        let structs = deserialized_batch
            .column(0)
            .as_any()
            .downcast_ref::<StructArray>()
            .unwrap();

        assert!(structs.column(0).is_null(0));
        assert!(structs.column(0).is_valid(1));
        assert!(structs.column(1).is_valid(0));
        assert!(structs.column(1).is_null(1));
        assert_eq!(record_batch_slice, deserialized_batch);
    }

    #[test]
    fn truncate_ipc_string_array_with_all_empty_string() {
        fn create_batch() -> RecordBatch {
            let schema = Schema::new(vec![Field::new("a", DataType::Utf8, true)]);
            let a = StringArray::from(vec![Some(""), Some(""), Some(""), Some(""), Some("")]);
            RecordBatch::try_new(Arc::new(schema), vec![Arc::new(a)]).unwrap()
        }

        let record_batch = create_batch();
        let record_batch_slice = record_batch.slice(0, 1);
        let deserialized_batch = deserialize_stream(serialize_stream(&record_batch_slice));

        assert!(
            serialize_stream(&record_batch).len() > serialize_stream(&record_batch_slice).len()
        );
        assert_eq!(record_batch_slice, deserialized_batch);
    }

    #[test]
    fn test_stream_writer_writes_array_slice() {
        let array = UInt32Array::from(vec![Some(1), Some(2), Some(3)]);
        assert_eq!(
            vec![Some(1), Some(2), Some(3)],
            array.iter().collect::<Vec<_>>()
        );

        let sliced = array.slice(1, 2);
        assert_eq!(vec![Some(2), Some(3)], sliced.iter().collect::<Vec<_>>());

        let batch = RecordBatch::try_new(
            Arc::new(Schema::new(vec![Field::new("a", DataType::UInt32, true)])),
            vec![Arc::new(sliced)],
        )
        .expect("new batch");

        let mut writer = StreamWriter::try_new(vec![], &batch.schema()).expect("new writer");
        writer.write(&batch).expect("write");
        let outbuf = writer.into_inner().expect("inner");

        let mut reader = StreamReader::try_new(&outbuf[..], None).expect("new reader");
        let read_batch = reader.next().unwrap().expect("read batch");

        let read_array: &UInt32Array = read_batch.column(0).as_primitive();
        assert_eq!(
            vec![Some(2), Some(3)],
            read_array.iter().collect::<Vec<_>>()
        );
    }

    #[test]
    fn encode_bools_slice() {
        // Test case for https://github.com/apache/arrow-rs/issues/3496
        assert_bool_roundtrip([true, false], 1, 1);

        // slice somewhere in the middle
        assert_bool_roundtrip(
            [
                true, false, true, true, false, false, true, true, true, false, false, false, true,
                true, true, true, false, false, false, false, true, true, true, true, true, false,
                false, false, false, false,
            ],
            13,
            17,
        );

        // start at byte boundary, end in the middle
        assert_bool_roundtrip(
            [
                true, false, true, true, false, false, true, true, true, false, false, false,
            ],
            8,
            2,
        );

        // start and stop and byte boundary
        assert_bool_roundtrip(
            [
                true, false, true, true, false, false, true, true, true, false, false, false, true,
                true, true, true, true, false, false, false, false, false,
            ],
            8,
            8,
        );
    }

    fn assert_bool_roundtrip<const N: usize>(bools: [bool; N], offset: usize, length: usize) {
        let val_bool_field = Field::new("val", DataType::Boolean, false);

        let schema = Arc::new(Schema::new(vec![val_bool_field]));

        let bools = BooleanArray::from(bools.to_vec());

        let batch = RecordBatch::try_new(Arc::clone(&schema), vec![Arc::new(bools)]).unwrap();
        let batch = batch.slice(offset, length);

        let data = serialize_stream(&batch);
        let batch2 = deserialize_stream(data);
        assert_eq!(batch, batch2);
    }

    #[test]
    fn test_run_array_unslice() {
        let total_len = 80;
        let vals: Vec<Option<i32>> = vec![Some(1), None, Some(2), Some(3), Some(4), None, Some(5)];
        let repeats: Vec<usize> = vec![3, 4, 1, 2];
        let mut input_array: Vec<Option<i32>> = Vec::with_capacity(total_len);
        for ix in 0_usize..32 {
            let repeat: usize = repeats[ix % repeats.len()];
            let val: Option<i32> = vals[ix % vals.len()];
            input_array.resize(input_array.len() + repeat, val);
        }

        // Encode the input_array to run array
        let mut builder =
            PrimitiveRunBuilder::<Int16Type, Int32Type>::with_capacity(input_array.len());
        builder.extend(input_array.iter().copied());
        let run_array = builder.finish();

        // test for all slice lengths.
        for slice_len in 1..=total_len {
            // test for offset = 0, slice length = slice_len
            let sliced_run_array: RunArray<Int16Type> =
                run_array.slice(0, slice_len).into_data().into();

            // Create unsliced run array.
            let unsliced_run_array = into_zero_offset_run_array(sliced_run_array).unwrap();
            let typed = unsliced_run_array
                .downcast::<PrimitiveArray<Int32Type>>()
                .unwrap();
            let expected: Vec<Option<i32>> = input_array.iter().take(slice_len).copied().collect();
            let actual: Vec<Option<i32>> = typed.into_iter().collect();
            assert_eq!(expected, actual);

            // test for offset = total_len - slice_len, length = slice_len
            let sliced_run_array: RunArray<Int16Type> = run_array
                .slice(total_len - slice_len, slice_len)
                .into_data()
                .into();

            // Create unsliced run array.
            let unsliced_run_array = into_zero_offset_run_array(sliced_run_array).unwrap();
            let typed = unsliced_run_array
                .downcast::<PrimitiveArray<Int32Type>>()
                .unwrap();
            let expected: Vec<Option<i32>> = input_array
                .iter()
                .skip(total_len - slice_len)
                .copied()
                .collect();
            let actual: Vec<Option<i32>> = typed.into_iter().collect();
            assert_eq!(expected, actual);
        }
    }

    fn generate_list_data<O: OffsetSizeTrait>() -> GenericListArray<O> {
        let mut ls = GenericListBuilder::<O, _>::new(UInt32Builder::new());

        for i in 0..100_000 {
            for value in [i, i, i] {
                ls.values().append_value(value);
            }
            ls.append(true)
        }

        ls.finish()
    }

    fn generate_nested_list_data<O: OffsetSizeTrait>() -> GenericListArray<O> {
        let mut ls =
            GenericListBuilder::<O, _>::new(GenericListBuilder::<O, _>::new(UInt32Builder::new()));

        for _i in 0..10_000 {
            for j in 0..10 {
                for value in [j, j, j, j] {
                    ls.values().values().append_value(value);
                }
                ls.values().append(true)
            }
            ls.append(true);
        }

        ls.finish()
    }

    fn generate_map_array_data() -> MapArray {
        let keys_builder = UInt32Builder::new();
        let values_builder = UInt32Builder::new();

        let mut builder = MapBuilder::new(None, keys_builder, values_builder);

        for i in 0..100_000 {
            for _j in 0..3 {
                builder.keys().append_value(i);
                builder.values().append_value(i * 2);
            }
            builder.append(true).unwrap();
        }

        builder.finish()
    }

    /// Ensure when serde full & sliced versions they are equal to original input.
    /// Also ensure serialized sliced version is significantly smaller than serialized full.
    fn roundtrip_ensure_sliced_smaller(in_batch: RecordBatch, expected_size_factor: usize) {
        // test both full and sliced versions
        let in_sliced = in_batch.slice(999, 1);

        let bytes_batch = serialize_file(&in_batch);
        let bytes_sliced = serialize_file(&in_sliced);

        // serializing 1 row should be significantly smaller than serializing 100,000
        assert!(bytes_sliced.len() < (bytes_batch.len() / expected_size_factor));

        // ensure both are still valid and equal to originals
        let out_batch = deserialize_file(bytes_batch);
        assert_eq!(in_batch, out_batch);

        let out_sliced = deserialize_file(bytes_sliced);
        assert_eq!(in_sliced, out_sliced);
    }

    #[test]
    fn encode_lists() {
        let val_inner = Field::new("item", DataType::UInt32, true);
        let val_list_field = Field::new("val", DataType::List(Arc::new(val_inner)), false);
        let schema = Arc::new(Schema::new(vec![val_list_field]));

        let values = Arc::new(generate_list_data::<i32>());

        let in_batch = RecordBatch::try_new(schema, vec![values]).unwrap();
        roundtrip_ensure_sliced_smaller(in_batch, 1000);
    }

    #[test]
    fn encode_empty_list() {
        let val_inner = Field::new("item", DataType::UInt32, true);
        let val_list_field = Field::new("val", DataType::List(Arc::new(val_inner)), false);
        let schema = Arc::new(Schema::new(vec![val_list_field]));

        let values = Arc::new(generate_list_data::<i32>());

        let in_batch = RecordBatch::try_new(schema, vec![values])
            .unwrap()
            .slice(999, 0);
        let out_batch = deserialize_file(serialize_file(&in_batch));
        assert_eq!(in_batch, out_batch);
    }

    #[test]
    fn encode_large_lists() {
        let val_inner = Field::new("item", DataType::UInt32, true);
        let val_list_field = Field::new("val", DataType::LargeList(Arc::new(val_inner)), false);
        let schema = Arc::new(Schema::new(vec![val_list_field]));

        let values = Arc::new(generate_list_data::<i64>());

        // ensure when serde full & sliced versions they are equal to original input
        // also ensure serialized sliced version is significantly smaller than serialized full
        let in_batch = RecordBatch::try_new(schema, vec![values]).unwrap();
        roundtrip_ensure_sliced_smaller(in_batch, 1000);
    }

    #[test]
    fn encode_nested_lists() {
        let inner_int = Arc::new(Field::new("item", DataType::UInt32, true));
        let inner_list_field = Arc::new(Field::new("item", DataType::List(inner_int), true));
        let list_field = Field::new("val", DataType::List(inner_list_field), true);
        let schema = Arc::new(Schema::new(vec![list_field]));

        let values = Arc::new(generate_nested_list_data::<i32>());

        let in_batch = RecordBatch::try_new(schema, vec![values]).unwrap();
        roundtrip_ensure_sliced_smaller(in_batch, 1000);
    }

    #[test]
    fn encode_map_array() {
        let keys = Arc::new(Field::new("keys", DataType::UInt32, false));
        let values = Arc::new(Field::new("values", DataType::UInt32, true));
        let map_field = Field::new_map("map", "entries", keys, values, false, true);
        let schema = Arc::new(Schema::new(vec![map_field]));

        let values = Arc::new(generate_map_array_data());

        let in_batch = RecordBatch::try_new(schema, vec![values]).unwrap();
        roundtrip_ensure_sliced_smaller(in_batch, 1000);
    }
}