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use std::{convert::TryInto, sync::Arc};
use arrow::{
array::ArrayRef,
datatypes::{
DataType as ArrowDataType, Field, Float32Type, Float64Type, Int16Type, Int32Type,
Int64Type, Int8Type, Schema, SchemaRef, TimeUnit, UInt8Type,
},
error::ArrowError,
record_batch::{RecordBatch, RecordBatchReader},
};
use column_strategy::{
with_conversion, ColumnStrategy, DateConversion, FixedSizedBinary, NarrowText,
TimestampMsConversion, TimestampNsConversion, TimestampSecConversion, TimestampUsConversion,
};
use odbc_api::{
buffers::ColumnarRowSet, ColumnDescription, Cursor, DataType as OdbcDataType, RowSetCursor,
};
use thiserror::Error;
use self::column_strategy::{
no_conversion, Binary, Decimal, NonNullableBoolean, NullableBoolean, WideText,
};
mod column_strategy;
pub use arrow;
pub use odbc_api;
#[derive(Error, Debug)]
pub enum Error {
#[error(
"Unsupported arrow type: `{0}`. This type can currently not be fetched from an ODBC data \
source by an instance of OdbcReader."
)]
UnsupportedArrowType(ArrowDataType),
#[error(
"An error occurred fetching the column description or data type from the metainformation \
attached to the ODBC result set:\n{0}"
)]
FailedToDescribeColumn(#[source] odbc_api::Error),
#[error(
"Unable to deduce the maximum string length for the SQL Data Type reported by the ODBC \
driver. Reported SQL data type is: {:?}.\n Error fetching column display or octet size: \
{source}",
sql_type
)]
UnknownStringLength {
sql_type: OdbcDataType,
source: odbc_api::Error,
},
#[error("ODBC reported a display size of {0}.")]
InvalidDisplaySize(isize),
#[error("Unable to retrieve number of columns in result set.\n{0}")]
UnableToRetrieveNumCols(odbc_api::Error),
}
pub struct OdbcReader<C: Cursor> {
column_strategies: Vec<Box<dyn ColumnStrategy>>,
schema: SchemaRef,
cursor: RowSetCursor<C, ColumnarRowSet>,
}
impl<C: Cursor> OdbcReader<C> {
pub fn new(cursor: C, max_batch_size: usize) -> Result<Self, Error> {
let num_cols: u16 = cursor
.num_result_cols()
.map_err(Error::UnableToRetrieveNumCols)?
.try_into()
.unwrap();
let mut fields = Vec::new();
for index in 0..num_cols {
let mut column_description = ColumnDescription::default();
cursor
.describe_col(index + 1, &mut column_description)
.map_err(Error::FailedToDescribeColumn)?;
let field = Field::new(
&column_description
.name_to_string()
.expect("Column name must be representable in utf8"),
match column_description.data_type {
OdbcDataType::Numeric {
precision: p @ 0..=38,
scale,
}
| OdbcDataType::Decimal {
precision: p @ 0..=38,
scale,
} => ArrowDataType::Decimal(p, scale.try_into().unwrap()),
OdbcDataType::Integer => ArrowDataType::Int32,
OdbcDataType::SmallInt => ArrowDataType::Int16,
OdbcDataType::Real | OdbcDataType::Float { precision: 0..=24 } => {
ArrowDataType::Float32
}
OdbcDataType::Float { precision: _ } | OdbcDataType::Double => {
ArrowDataType::Float64
}
OdbcDataType::Date => ArrowDataType::Date32,
OdbcDataType::Timestamp { precision: 0 } => {
ArrowDataType::Timestamp(TimeUnit::Second, None)
}
OdbcDataType::Timestamp { precision: 1..=3 } => {
ArrowDataType::Timestamp(TimeUnit::Millisecond, None)
}
OdbcDataType::Timestamp { precision: 4..=6 } => {
ArrowDataType::Timestamp(TimeUnit::Microsecond, None)
}
OdbcDataType::Timestamp { precision: _ } => {
ArrowDataType::Timestamp(TimeUnit::Nanosecond, None)
}
OdbcDataType::BigInt => ArrowDataType::Int64,
OdbcDataType::TinyInt => ArrowDataType::Int8,
OdbcDataType::Bit => ArrowDataType::Boolean,
OdbcDataType::Binary { length } => {
ArrowDataType::FixedSizeBinary(length.try_into().unwrap())
}
OdbcDataType::LongVarbinary { length: _ }
| OdbcDataType::Varbinary { length: _ } => ArrowDataType::Binary,
OdbcDataType::Unknown
| OdbcDataType::Time { precision: _ }
| OdbcDataType::Numeric { .. }
| OdbcDataType::Decimal { .. }
| OdbcDataType::Other {
data_type: _,
column_size: _,
decimal_digits: _,
}
| OdbcDataType::WChar { length: _ }
| OdbcDataType::Char { length: _ }
| OdbcDataType::WVarchar { length: _ }
| OdbcDataType::LongVarchar { length: _ }
| OdbcDataType::Varchar { length: _ } => ArrowDataType::Utf8,
},
column_description.could_be_nullable(),
);
fields.push(field)
}
let schema = Arc::new(Schema::new(fields));
Self::with_arrow_schema(cursor, max_batch_size, schema)
}
pub fn with_arrow_schema(
cursor: C,
max_batch_size: usize,
schema: SchemaRef,
) -> Result<Self, Error> {
let column_strategies: Vec<Box<dyn ColumnStrategy>> = schema
.fields()
.iter()
.enumerate()
.map(|(index, field)| {
let col_index = (index + 1).try_into().unwrap();
let lazy_sql_data_type = || {
cursor
.col_data_type(col_index)
.map_err(Error::FailedToDescribeColumn)
};
let lazy_display_size = || cursor.col_display_size(col_index);
let lazy_octet_size = || cursor.col_octet_length(col_index);
choose_column_strategy(
field,
lazy_sql_data_type,
lazy_octet_size,
lazy_display_size,
)
})
.collect::<Result<_, _>>()?;
let row_set_buffer = ColumnarRowSet::new(
max_batch_size,
column_strategies.iter().map(|cs| cs.buffer_description()),
);
let cursor = cursor.bind_buffer(row_set_buffer).unwrap();
Ok(Self {
column_strategies,
schema,
cursor,
})
}
}
impl<C> Iterator for OdbcReader<C>
where
C: Cursor,
{
type Item = Result<RecordBatch, ArrowError>;
fn next(&mut self) -> Option<Self::Item> {
match self.cursor.fetch() {
Ok(Some(batch)) => {
let columns = odbc_batch_to_arrow_columns(&self.column_strategies, batch);
let arrow_batch = RecordBatch::try_new(self.schema.clone(), columns).unwrap();
Some(Ok(arrow_batch))
}
Ok(None) => None,
Err(odbc_error) => Some(Err(ArrowError::ExternalError(Box::new(odbc_error)))),
}
}
}
impl<C> RecordBatchReader for OdbcReader<C>
where
C: Cursor,
{
fn schema(&self) -> SchemaRef {
self.schema.clone()
}
}
fn odbc_batch_to_arrow_columns(
column_strategies: &[Box<dyn ColumnStrategy>],
batch: &ColumnarRowSet,
) -> Vec<ArrayRef> {
column_strategies
.iter()
.enumerate()
.map(|(index, strat)| {
let column_view = batch.column(index);
strat.fill_arrow_array(column_view)
})
.collect()
}
fn choose_column_strategy(
field: &Field,
lazy_sql_type: impl Fn() -> Result<OdbcDataType, Error>,
lazy_octet_size: impl Fn() -> Result<isize, odbc_api::Error>,
lazy_display_size: impl Fn() -> Result<isize, odbc_api::Error>,
) -> Result<Box<dyn ColumnStrategy>, Error> {
let strat: Box<dyn ColumnStrategy> = match field.data_type() {
ArrowDataType::Boolean => {
if field.is_nullable() {
Box::new(NullableBoolean)
} else {
Box::new(NonNullableBoolean)
}
}
ArrowDataType::Int8 => no_conversion::<Int8Type>(field.is_nullable()),
ArrowDataType::Int16 => no_conversion::<Int16Type>(field.is_nullable()),
ArrowDataType::Int32 => no_conversion::<Int32Type>(field.is_nullable()),
ArrowDataType::Int64 => no_conversion::<Int64Type>(field.is_nullable()),
ArrowDataType::UInt8 => no_conversion::<UInt8Type>(field.is_nullable()),
ArrowDataType::Float32 => no_conversion::<Float32Type>(field.is_nullable()),
ArrowDataType::Float64 => no_conversion::<Float64Type>(field.is_nullable()),
ArrowDataType::Date32 => with_conversion(field.is_nullable(), DateConversion),
ArrowDataType::Utf8 => {
let sql_type = lazy_sql_type()?;
let is_text = matches!(
sql_type,
OdbcDataType::LongVarchar { .. }
| OdbcDataType::Varchar { .. }
| OdbcDataType::WVarchar { .. }
| OdbcDataType::Char { .. }
| OdbcDataType::WChar { .. }
);
if is_text {
let octet_len = lazy_octet_size()
.map_err(|source| Error::UnknownStringLength { sql_type, source })?;
if cfg!(target_os = "windows") {
wide_text_strategy(octet_len, field)?
} else {
narrow_text_strategy(octet_len, field)?
}
} else {
let display_size = lazy_display_size()
.map_err(|source| Error::UnknownStringLength { sql_type, source })?;
narrow_text_strategy(display_size, field)?
}
}
ArrowDataType::Decimal(precision, scale) => {
Box::new(Decimal::new(field.is_nullable(), *precision, *scale))
}
ArrowDataType::Binary => {
let sql_type = lazy_sql_type()?;
let length = sql_type.column_size();
Box::new(Binary::new(field.is_nullable(), length))
}
ArrowDataType::Timestamp(TimeUnit::Second, _) => {
with_conversion(field.is_nullable(), TimestampSecConversion)
}
ArrowDataType::Timestamp(TimeUnit::Millisecond, _) => {
with_conversion(field.is_nullable(), TimestampMsConversion)
}
ArrowDataType::Timestamp(TimeUnit::Microsecond, _) => {
with_conversion(field.is_nullable(), TimestampUsConversion)
}
ArrowDataType::Timestamp(TimeUnit::Nanosecond, _) => {
with_conversion(field.is_nullable(), TimestampNsConversion)
}
ArrowDataType::FixedSizeBinary(length) => Box::new(FixedSizedBinary::new(
field.is_nullable(),
(*length).try_into().unwrap(),
)),
arrow_type
@
(ArrowDataType::Null
| ArrowDataType::Date64
| ArrowDataType::Time32(_)
| ArrowDataType::Time64(_)
| ArrowDataType::Duration(_)
| ArrowDataType::Interval(_)
| ArrowDataType::LargeBinary
| ArrowDataType::LargeUtf8
| ArrowDataType::List(_)
| ArrowDataType::FixedSizeList(_, _)
| ArrowDataType::LargeList(_)
| ArrowDataType::Struct(_)
| ArrowDataType::Union(_)
| ArrowDataType::Dictionary(_, _)
| ArrowDataType::UInt16
| ArrowDataType::UInt32
| ArrowDataType::UInt64
| ArrowDataType::Map(_, _)
| ArrowDataType::Float16) => return Err(Error::UnsupportedArrowType(arrow_type.clone())),
};
Ok(strat)
}
fn wide_text_strategy(
octet_length: isize,
field: &Field,
) -> Result<Box<dyn ColumnStrategy>, Error> {
if octet_length < 1 {
return Err(Error::InvalidDisplaySize(octet_length));
}
let octet_length = octet_length as usize;
let utf16_len = octet_length / 2;
Ok(Box::new(WideText::new(field.is_nullable(), utf16_len)))
}
fn narrow_text_strategy(octet_len: isize, field: &Field) -> Result<Box<dyn ColumnStrategy>, Error> {
if octet_len < 1 {
return Err(Error::InvalidDisplaySize(octet_len));
}
let utf8_len = octet_len as usize;
Ok(Box::new(NarrowText::new(field.is_nullable(), utf8_len)))
}