blob: 468a9ad7daff66dcdf29a3c24a6fc9e9d598fde3 [file]
// Licensed to the Apache Software Foundation (ASF) under one
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// 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.
//! Mirrors Java [BranchesTable](https://github.com/apache/paimon/blob/release-1.3/paimon-core/src/main/java/org/apache/paimon/table/system/BranchesTable.java).
use std::any::Any;
use std::sync::{Arc, OnceLock};
use async_trait::async_trait;
use datafusion::arrow::array::{RecordBatch, StringArray, TimestampMillisecondArray};
use datafusion::arrow::datatypes::{DataType, Field, Schema, SchemaRef, TimeUnit};
use datafusion::catalog::Session;
use datafusion::datasource::memory::MemorySourceConfig;
use datafusion::datasource::{TableProvider, TableType};
use datafusion::error::Result as DFResult;
use datafusion::logical_expr::Expr;
use datafusion::physical_plan::ExecutionPlan;
use paimon::table::{BranchManager, Table};
use crate::error::to_datafusion_error;
pub(super) fn build(table: Table) -> DFResult<Arc<dyn TableProvider>> {
Ok(Arc::new(BranchesTable { table }))
}
fn branches_schema() -> SchemaRef {
static SCHEMA: OnceLock<SchemaRef> = OnceLock::new();
SCHEMA
.get_or_init(|| {
Arc::new(Schema::new(vec![
Field::new("branch_name", DataType::Utf8, false),
Field::new(
"create_time",
DataType::Timestamp(TimeUnit::Millisecond, None),
false,
),
]))
})
.clone()
}
#[derive(Debug)]
struct BranchesTable {
table: Table,
}
#[async_trait]
impl TableProvider for BranchesTable {
fn as_any(&self) -> &dyn Any {
self
}
fn schema(&self) -> SchemaRef {
branches_schema()
}
fn table_type(&self) -> TableType {
TableType::View
}
async fn scan(
&self,
_state: &dyn Session,
projection: Option<&Vec<usize>>,
_filters: &[Expr],
_limit: Option<usize>,
) -> DFResult<Arc<dyn ExecutionPlan>> {
let table = self.table.clone();
let (names, create_times) =
crate::runtime::await_with_runtime(async move { collect_branches(&table).await })
.await
.map_err(to_datafusion_error)?;
let schema = branches_schema();
let batch = RecordBatch::try_new(
schema.clone(),
vec![
Arc::new(StringArray::from(names)),
Arc::new(TimestampMillisecondArray::from(create_times)),
],
)?;
Ok(MemorySourceConfig::try_new_exec(
&[vec![batch]],
schema,
projection.cloned(),
)?)
}
}
async fn collect_branches(table: &Table) -> paimon::Result<(Vec<String>, Vec<i64>)> {
let file_io = table.file_io();
let bm = BranchManager::new(file_io.clone(), table.location().to_string());
let names = bm.list_all().await?;
let mut create_times = Vec::with_capacity(names.len());
for name in &names {
let status = file_io.get_status(&bm.branch_path(name)).await?;
create_times.push(
status
.last_modified
.map(|dt| dt.timestamp_millis())
.unwrap_or(0),
);
}
Ok((names, create_times))
}