mirror of
https://github.com/GreptimeTeam/greptimedb.git
synced 2026-06-02 05:10:40 +00:00
fix common record batch
Signed-off-by: Ruihang Xia <waynestxia@gmail.com>
This commit is contained in:
@@ -140,9 +140,9 @@ impl Stream for NumbersStream {
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)
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.unwrap();
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Poll::Ready(Some(Ok(RecordBatch {
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schema: self.schema.clone(),
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df_recordbatch: batch,
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})))
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Poll::Ready(Some(RecordBatch::try_from_df_record_batch(
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self.schema.clone(),
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batch,
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)))
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}
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}
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@@ -17,6 +17,7 @@ use std::pin::Pin;
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use std::sync::Arc;
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use async_trait::async_trait;
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use common_error::prelude::BoxedError;
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use common_query::physical_plan::PhysicalPlanRef;
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use common_query::prelude::Expr;
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use common_recordbatch::error::Result as RecordBatchResult;
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@@ -29,7 +30,7 @@ use futures::Stream;
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use snafu::prelude::*;
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use store_api::storage::RegionNumber;
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use crate::error::{Result, SchemaConversionSnafu, TableProjectionSnafu};
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use crate::error::{Result, SchemaConversionSnafu, TableProjectionSnafu, TablesRecordBatchSnafu};
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use crate::metadata::{
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TableId, TableInfoBuilder, TableInfoRef, TableMetaBuilder, TableType, TableVersion,
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};
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@@ -145,11 +146,11 @@ impl Table for MemTable {
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) -> Result<PhysicalPlanRef> {
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let df_recordbatch = if let Some(indices) = projection {
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self.recordbatch
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.df_recordbatch
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.df_record_batch()
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.project(indices)
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.context(TableProjectionSnafu)?
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} else {
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self.recordbatch.df_recordbatch.clone()
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self.recordbatch.df_record_batch().clone()
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};
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let rows = df_recordbatch.num_rows();
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@@ -160,12 +161,14 @@ impl Table for MemTable {
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};
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let df_recordbatch = df_recordbatch.slice(0, limit);
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let recordbatch = RecordBatch {
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schema: Arc::new(
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let recordbatch = RecordBatch::try_from_df_record_batch(
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Arc::new(
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Schema::try_from(df_recordbatch.schema().clone()).context(SchemaConversionSnafu)?,
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),
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df_recordbatch,
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};
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)
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.map_err(BoxedError::new)
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.context(TablesRecordBatchSnafu)?;
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Ok(Arc::new(SimpleTableScan::new(Box::pin(MemtableStream {
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schema: recordbatch.schema.clone(),
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recordbatch: Some(recordbatch),
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@@ -214,7 +217,7 @@ mod test {
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let scan_stream = scan_stream.execute(0, ctx.task_ctx()).unwrap();
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let recordbatch = util::collect(scan_stream).await.unwrap();
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assert_eq!(1, recordbatch.len());
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let columns = recordbatch[0].df_recordbatch.columns();
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let columns = recordbatch[0].df_record_batch().columns();
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assert_eq!(1, columns.len());
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let string_column = Helper::try_into_vector(&columns[0]).unwrap();
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@@ -235,7 +238,7 @@ mod test {
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let scan_stream = scan_stream.execute(0, ctx.task_ctx()).unwrap();
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let recordbatch = util::collect(scan_stream).await.unwrap();
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assert_eq!(1, recordbatch.len());
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let columns = recordbatch[0].df_recordbatch.columns();
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let columns = recordbatch[0].df_record_batch().columns();
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assert_eq!(2, columns.len());
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let i32_column = Helper::try_into_vector(&columns[0]).unwrap();
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