Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 2 additions & 0 deletions .gitignore
Original file line number Diff line number Diff line change
@@ -1,2 +1,4 @@
/target
Cargo.lock
.idea/

5 changes: 3 additions & 2 deletions convergence-arrow/src/table.rs
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@ use convergence::protocol::{DataTypeOid, ErrorResponse, FieldDescription, SqlSta
use convergence::protocol_ext::DataRowBatch;
use datafusion::arrow::array::{
BooleanArray, Date32Array, Date64Array, Float16Array, Float32Array, Float64Array, Int16Array, Int32Array,
Int64Array, Int8Array, StringArray, TimestampMicrosecondArray, TimestampMillisecondArray, TimestampNanosecondArray,
Int64Array, Int8Array, StringArray, StringViewArray, TimestampMicrosecondArray, TimestampMillisecondArray, TimestampNanosecondArray,
TimestampSecondArray, UInt16Array, UInt32Array, UInt64Array, UInt8Array,
};
use datafusion::arrow::datatypes::{DataType, Schema, TimeUnit};
Expand Down Expand Up @@ -48,6 +48,7 @@ pub fn record_batch_to_rows(arrow_batch: &RecordBatch, pg_batch: &mut DataRowBat
DataType::Float32 => row.write_float4(array_val!(Float32Array, col, row_idx)),
DataType::Float64 => row.write_float8(array_val!(Float64Array, col, row_idx)),
DataType::Utf8 => row.write_string(array_val!(StringArray, col, row_idx)),
DataType::Utf8View => row.write_string(array_val!(StringViewArray, col, row_idx)),
DataType::Date32 => {
row.write_date(array_val!(Date32Array, col, row_idx, value_as_date).ok_or_else(|| {
ErrorResponse::error(SqlState::InvalidDatetimeFormat, "unsupported date type")
Expand Down Expand Up @@ -102,7 +103,7 @@ pub fn data_type_to_oid(ty: &DataType) -> Result<DataTypeOid, ErrorResponse> {
DataType::UInt64 => DataTypeOid::Int8,
DataType::Float16 | DataType::Float32 => DataTypeOid::Float4,
DataType::Float64 => DataTypeOid::Float8,
DataType::Utf8 => DataTypeOid::Text,
DataType::Utf8 | DataType::Utf8View => DataTypeOid::Text,
DataType::Date32 | DataType::Date64 => DataTypeOid::Date,
DataType::Timestamp(_, None) => DataTypeOid::Timestamp,
other => {
Expand Down
13 changes: 9 additions & 4 deletions convergence-arrow/tests/test_arrow.rs
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@ use convergence::protocol_ext::DataRowBatch;
use convergence::server::{self, BindOptions};
use convergence::sqlparser::ast::Statement;
use convergence_arrow::table::{record_batch_to_rows, schema_to_field_desc};
use datafusion::arrow::array::{ArrayRef, Date32Array, Float32Array, Int32Array, StringArray, TimestampSecondArray};
use datafusion::arrow::array::{ArrayRef, Date32Array, Float32Array, Int32Array, StringArray, StringViewArray, TimestampSecondArray};
use datafusion::arrow::datatypes::{DataType, Field, Schema, TimeUnit};
use datafusion::arrow::record_batch::RecordBatch;
use std::sync::Arc;
Expand All @@ -32,19 +32,21 @@ impl ArrowEngine {
let int_col = Arc::new(Int32Array::from(vec![1, 2, 3])) as ArrayRef;
let float_col = Arc::new(Float32Array::from(vec![1.5, 2.5, 3.5])) as ArrayRef;
let string_col = Arc::new(StringArray::from(vec!["a", "b", "c"])) as ArrayRef;
let string_view_col = Arc::new(StringViewArray::from(vec!["aa", "bb", "cc"])) as ArrayRef;
let ts_col = Arc::new(TimestampSecondArray::from(vec![1577836800, 1580515200, 1583020800])) as ArrayRef;
let date_col = Arc::new(Date32Array::from(vec![0, 1, 2])) as ArrayRef;

let schema = Schema::new(vec![
Field::new("int_col", DataType::Int32, true),
Field::new("float_col", DataType::Float32, true),
Field::new("string_col", DataType::Utf8, true),
Field::new("string_view_col", DataType::Utf8View, true),
Field::new("ts_col", DataType::Timestamp(TimeUnit::Second, None), true),
Field::new("date_col", DataType::Date32, true),
]);

Self {
batch: RecordBatch::try_new(Arc::new(schema), vec![int_col, float_col, string_col, ts_col, date_col])
batch: RecordBatch::try_new(Arc::new(schema), vec![int_col, float_col, string_col, string_view_col, ts_col, date_col])
.expect("failed to create batch"),
}
}
Expand Down Expand Up @@ -89,8 +91,8 @@ async fn basic_data_types() {
let rows = client.query("select 1", &[]).await.unwrap();
let get_row = |idx: usize| {
let row = &rows[idx];
let cols: (i32, f32, &str, NaiveDateTime, NaiveDate) =
(row.get(0), row.get(1), row.get(2), row.get(3), row.get(4));
let cols: (i32, f32, &str, &str, NaiveDateTime, NaiveDate) =
(row.get(0), row.get(1), row.get(2), row.get(3), row.get(4), row.get(5));
cols
};

Expand All @@ -100,6 +102,7 @@ async fn basic_data_types() {
1,
1.5,
"a",
"aa",
NaiveDate::from_ymd_opt(2020, 1, 1)
.unwrap()
.and_hms_opt(0, 0, 0)
Expand All @@ -113,6 +116,7 @@ async fn basic_data_types() {
2,
2.5,
"b",
"bb",
NaiveDate::from_ymd_opt(2020, 2, 1)
.unwrap()
.and_hms_opt(0, 0, 0)
Expand All @@ -126,6 +130,7 @@ async fn basic_data_types() {
3,
3.5,
"c",
"cc",
NaiveDate::from_ymd_opt(2020, 3, 1)
.unwrap()
.and_hms_opt(0, 0, 0)
Expand Down
Loading