Struct arrow_row::RowConverter
source · pub struct RowConverter { /* private fields */ }
Expand description
Converts ArrayRef
columns into a row-oriented format.
Note: The encoding of the row format may change from release to release.
§Overview
The row format is a variable length byte sequence created by concatenating the encoded form of each column. The encoding for each column depends on its datatype (and sort options).
The encoding is carefully designed in such a way that escaping is unnecessary: it is never ambiguous as to whether a byte is part of a sentinel (e.g. null) or a value.
§Unsigned Integer Encoding
A null integer is encoded as a 0_u8
, followed by a zero-ed number of bytes corresponding
to the integer’s length.
A valid integer is encoded as 1_u8
, followed by the big-endian representation of the
integer.
┌──┬──┬──┬──┐ ┌──┬──┬──┬──┬──┐
3 │03│00│00│00│ │01│00│00│00│03│
└──┴──┴──┴──┘ └──┴──┴──┴──┴──┘
┌──┬──┬──┬──┐ ┌──┬──┬──┬──┬──┐
258 │02│01│00│00│ │01│00│00│01│02│
└──┴──┴──┴──┘ └──┴──┴──┴──┴──┘
┌──┬──┬──┬──┐ ┌──┬──┬──┬──┬──┐
23423 │7F│5B│00│00│ │01│00│00│5B│7F│
└──┴──┴──┴──┘ └──┴──┴──┴──┴──┘
┌──┬──┬──┬──┐ ┌──┬──┬──┬──┬──┐
NULL │??│??│??│??│ │00│00│00│00│00│
└──┴──┴──┴──┘ └──┴──┴──┴──┴──┘
32-bit (4 bytes) Row Format
Value Little Endian
§Signed Integer Encoding
Signed integers have their most significant sign bit flipped, and are then encoded in the same manner as an unsigned integer.
┌──┬──┬──┬──┐ ┌──┬──┬──┬──┐ ┌──┬──┬──┬──┬──┐
5 │05│00│00│00│ │05│00│00│80│ │01│80│00│00│05│
└──┴──┴──┴──┘ └──┴──┴──┴──┘ └──┴──┴──┴──┴──┘
┌──┬──┬──┬──┐ ┌──┬──┬──┬──┐ ┌──┬──┬──┬──┬──┐
-5 │FB│FF│FF│FF│ │FB│FF│FF│7F│ │01│7F│FF│FF│FB│
└──┴──┴──┴──┘ └──┴──┴──┴──┘ └──┴──┴──┴──┴──┘
Value 32-bit (4 bytes) High bit flipped Row Format
Little Endian
§Float Encoding
Floats are converted from IEEE 754 representation to a signed integer representation by flipping all bar the sign bit if they are negative.
They are then encoded in the same manner as a signed integer.
§Fixed Length Bytes Encoding
Fixed length bytes are encoded in the same fashion as primitive types above.
For a fixed length array of length n
:
A null is encoded as 0_u8
null sentinel followed by n
0_u8
bytes
A valid value is encoded as 1_u8
followed by the value bytes
§Variable Length Bytes (including Strings) Encoding
A null is encoded as a 0_u8
.
An empty byte array is encoded as 1_u8
.
A non-null, non-empty byte array is encoded as 2_u8
followed by the byte array
encoded using a block based scheme described below.
The byte array is broken up into fixed-width blocks, each block is written in turn
to the output, followed by 0xFF_u8
. The final block is padded to 32-bytes
with 0_u8
and written to the output, followed by the un-padded length in bytes
of this final block as a u8
. The first 4 blocks have a length of 8, with subsequent
blocks using a length of 32, this is to reduce space amplification for small strings.
Note the following example encodings use a block size of 4 bytes for brevity:
┌───┬───┬───┬───┬───┬───┐
"MEEP" │02 │'M'│'E'│'E'│'P'│04 │
└───┴───┴───┴───┴───┴───┘
┌───┐
"" │01 |
└───┘
NULL ┌───┐
│00 │
└───┘
"Defenestration" ┌───┬───┬───┬───┬───┬───┐
│02 │'D'│'e'│'f'│'e'│FF │
└───┼───┼───┼───┼───┼───┤
│'n'│'e'│'s'│'t'│FF │
├───┼───┼───┼───┼───┤
│'r'│'a'│'t'│'r'│FF │
├───┼───┼───┼───┼───┤
│'a'│'t'│'i'│'o'│FF │
├───┼───┼───┼───┼───┤
│'n'│00 │00 │00 │01 │
└───┴───┴───┴───┴───┘
This approach is loosely inspired by COBS encoding, and chosen over more traditional byte stuffing as it is more amenable to vectorisation, in particular AVX-256.
§Dictionary Encoding
Dictionaries are hydrated to their underlying values
§Struct Encoding
A null is encoded as a 0_u8
.
A valid value is encoded as 1_u8
followed by the row encoding of each child.
This encoding effectively flattens the schema in a depth-first fashion.
For example
┌───────┬────────────────────────┬───────┐
│ Int32 │ Struct[Int32, Float32] │ Int32 │
└───────┴────────────────────────┴───────┘
Is encoded as
┌───────┬───────────────┬───────┬─────────┬───────┐
│ Int32 │ Null Sentinel │ Int32 │ Float32 │ Int32 │
└───────┴───────────────┴───────┴─────────┴───────┘
§List Encoding
Lists are encoded by first encoding all child elements to the row format.
A list value is then encoded as the concatenation of each of the child elements, separately encoded using the variable length encoding described above, followed by the variable length encoding of an empty byte array.
For example given:
[1_u8, 2_u8, 3_u8]
[1_u8, null]
[]
null
The elements would be converted to:
┌──┬──┐ ┌──┬──┐ ┌──┬──┐ ┌──┬──┐ ┌──┬──┐
1 │01│01│ 2 │01│02│ 3 │01│03│ 1 │01│01│ null │00│00│
└──┴──┘ └──┴──┘ └──┴──┘ └──┴──┘ └──┴──┘
Which would be encoded as
┌──┬──┬──┬──┬──┬──┬──┬──┬──┬──┬──┬──┬──┬──┬──┬──┬──┬──┬──┐
[1_u8, 2_u8, 3_u8] │02│01│01│00│00│02│02│01│02│00│00│02│02│01│03│00│00│02│01│
└──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┘
└──── 1_u8 ────┘ └──── 2_u8 ────┘ └──── 3_u8 ────┘
┌──┬──┬──┬──┬──┬──┬──┬──┬──┬──┬──┬──┬──┐
[1_u8, null] │02│01│01│00│00│02│02│00│00│00│00│02│01│
└──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┴──┘
└──── 1_u8 ────┘ └──── null ────┘
With []
represented by an empty byte array, and null
a null byte array.
§Ordering
§Float Ordering
Floats are totally ordered in accordance to the totalOrder
predicate as defined
in the IEEE 754 (2008 revision) floating point standard.
The ordering established by this does not always agree with the
PartialOrd
and PartialEq
implementations of f32
. For example,
they consider negative and positive zero equal, while this does not
§Null Ordering
The encoding described above will order nulls first, this can be inverted by representing
nulls as 0xFF_u8
instead of 0_u8
§Reverse Column Ordering
The order of a given column can be reversed by negating the encoded bytes of non-null values
Implementations§
source§impl RowConverter
impl RowConverter
sourcepub fn new(fields: Vec<SortField>) -> Result<Self, ArrowError>
pub fn new(fields: Vec<SortField>) -> Result<Self, ArrowError>
Create a new RowConverter
with the provided schema
sourcepub fn supports_fields(fields: &[SortField]) -> bool
pub fn supports_fields(fields: &[SortField]) -> bool
Check if the given fields are supported by the row format.
sourcepub fn convert_columns(&self, columns: &[ArrayRef]) -> Result<Rows, ArrowError>
pub fn convert_columns(&self, columns: &[ArrayRef]) -> Result<Rows, ArrowError>
sourcepub fn append(
&self,
rows: &mut Rows,
columns: &[ArrayRef],
) -> Result<(), ArrowError>
pub fn append( &self, rows: &mut Rows, columns: &[ArrayRef], ) -> Result<(), ArrowError>
Convert ArrayRef
columns appending to an existing Rows
See Row
for information on when Row
can be compared
§Panics
Panics if
- The schema of
columns
does not match that provided toRowConverter::new
- The provided
Rows
were not created by thisRowConverter
let converter = RowConverter::new(vec![SortField::new(DataType::Utf8)]).unwrap();
let a1 = StringArray::from(vec!["hello", "world"]);
let a2 = StringArray::from(vec!["a", "a", "hello"]);
let mut rows = converter.empty_rows(5, 128);
converter.append(&mut rows, &[Arc::new(a1)]).unwrap();
converter.append(&mut rows, &[Arc::new(a2)]).unwrap();
let back = converter.convert_rows(&rows).unwrap();
let values: Vec<_> = back[0].as_string::<i32>().iter().map(Option::unwrap).collect();
assert_eq!(&values, &["hello", "world", "a", "a", "hello"]);
sourcepub fn convert_rows<'a, I>(&self, rows: I) -> Result<Vec<ArrayRef>, ArrowError>where
I: IntoIterator<Item = Row<'a>>,
pub fn convert_rows<'a, I>(&self, rows: I) -> Result<Vec<ArrayRef>, ArrowError>where
I: IntoIterator<Item = Row<'a>>,
Convert Rows
columns into ArrayRef
§Panics
Panics if the rows were not produced by this RowConverter
sourcepub fn empty_rows(&self, row_capacity: usize, data_capacity: usize) -> Rows
pub fn empty_rows(&self, row_capacity: usize, data_capacity: usize) -> Rows
Returns an empty Rows
with capacity for row_capacity
rows with
a total length of data_capacity
This can be used to buffer a selection of Row
let converter = RowConverter::new(vec![SortField::new(DataType::Utf8)]).unwrap();
let array = StringArray::from(vec!["hello", "world", "a", "a", "hello"]);
// Convert to row format and deduplicate
let converted = converter.convert_columns(&[Arc::new(array)]).unwrap();
let mut distinct_rows = converter.empty_rows(3, 100);
let mut dedup: HashSet<Row> = HashSet::with_capacity(3);
converted.iter().filter(|row| dedup.insert(*row)).for_each(|row| distinct_rows.push(row));
// Note: we could skip buffering and feed the filtered iterator directly
// into convert_rows, this is done for demonstration purposes only
let distinct = converter.convert_rows(&distinct_rows).unwrap();
let values: Vec<_> = distinct[0].as_string::<i32>().iter().map(Option::unwrap).collect();
assert_eq!(&values, &["hello", "world", "a"]);
sourcepub fn from_binary(&self, array: BinaryArray) -> Rows
pub fn from_binary(&self, array: BinaryArray) -> Rows
Create a new Rows instance from the given binary data.
let converter = RowConverter::new(vec![SortField::new(DataType::Utf8)]).unwrap();
let array = StringArray::from(vec!["hello", "world", "a", "a", "hello"]);
let rows = converter.convert_columns(&[Arc::new(array)]).unwrap();
// We can convert rows into binary format and back in batch.
let values: Vec<OwnedRow> = rows.iter().map(|r| r.owned()).collect();
let binary = rows.try_into_binary().expect("known-small array");
let converted = converter.from_binary(binary.clone());
assert!(converted.iter().eq(values.iter().map(|r| r.row())));
§Panics
This function expects the passed BinaryArray to contain valid row data as produced by this RowConverter. It will panic if any rows are null. Operations on the returned Rows may panic if the data is malformed.