mirror of
https://github.com/rustfs/rustfs.git
synced 2026-08-13 16:46:55 +00:00
Generated
+1
@@ -6560,6 +6560,7 @@ dependencies = [
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"datafusion",
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"datafusion",
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"derive_builder",
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"derive_builder",
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"futures",
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"futures",
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"lazy_static",
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"parking_lot 0.12.3",
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"parking_lot 0.12.3",
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"s3s",
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"s3s",
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"snafu",
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"snafu",
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@@ -96,7 +96,9 @@ impl ServiceStateManager {
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ServiceState::Starting => {
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ServiceState::Starting => {
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info!("Service is starting...");
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info!("Service is starting...");
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#[cfg(target_os = "linux")]
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#[cfg(target_os = "linux")]
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if let Err(e) = libsystemd::daemon::notify(false, &[libsystemd::daemon::NotifyState::Status("Starting...".to_string())]) {
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if let Err(e) =
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libsystemd::daemon::notify(false, &[libsystemd::daemon::NotifyState::Status("Starting...".to_string())])
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{
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tracing::error!("Failed to notify systemd of starting state: {}", e);
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tracing::error!("Failed to notify systemd of starting state: {}", e);
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}
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}
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}
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}
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@@ -111,7 +113,9 @@ impl ServiceStateManager {
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ServiceState::Stopped => {
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ServiceState::Stopped => {
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info!("Service has stopped");
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info!("Service has stopped");
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#[cfg(target_os = "linux")]
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#[cfg(target_os = "linux")]
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if let Err(e) = libsystemd::daemon::notify(false, &[libsystemd::daemon::NotifyState::Status("Stopped".to_string())]) {
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if let Err(e) =
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libsystemd::daemon::notify(false, &[libsystemd::daemon::NotifyState::Status("Stopped".to_string())])
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{
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tracing::error!("Failed to notify systemd of stopped state: {}", e);
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tracing::error!("Failed to notify systemd of stopped state: {}", e);
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}
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}
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}
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}
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@@ -1895,10 +1895,13 @@ impl S3 for FS {
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|
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let db = make_rustfsms(input.clone(), false).await.map_err(|e| {
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let db = make_rustfsms(input.clone(), false).await.map_err(|e| {
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error!("make db failed, {}", e.to_string());
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error!("make db failed, {}", e.to_string());
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s3_error!(InternalError)
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s3_error!(InternalError, "{}", e.to_string())
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})?;
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})?;
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let query = Query::new(Context { input: input.clone() }, input.request.expression);
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let query = Query::new(Context { input: input.clone() }, input.request.expression);
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let result = db.execute(&query).await.map_err(|_| s3_error!(InternalError))?;
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let result = db
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.execute(&query)
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.await
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.map_err(|e| s3_error!(InternalError, "{}", e.to_string()))?;
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|
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let results = result.result().chunk_result().await.unwrap().to_vec();
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let results = result.result().chunk_result().await.unwrap().to_vec();
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@@ -1,8 +1,8 @@
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use std::sync::Arc;
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use std::sync::Arc;
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|
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use bytes::Bytes;
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use datafusion::{
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use datafusion::{
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execution::{context::SessionState, runtime_env::RuntimeEnvBuilder, SessionStateBuilder},
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execution::{context::SessionState, runtime_env::RuntimeEnvBuilder, SessionStateBuilder},
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parquet::data_type::AsBytes,
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prelude::SessionContext,
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prelude::SessionContext,
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};
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};
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use object_store::{memory::InMemory, path::Path, ObjectStore};
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use object_store::{memory::InMemory, path::Path, ObjectStore};
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@@ -65,7 +65,19 @@ impl SessionCtxFactory {
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8,Henry,32,IT,6200
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8,Henry,32,IT,6200
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9,Ivy,24,Marketing,4800
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9,Ivy,24,Marketing,4800
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10,Jack,38,Finance,7500";
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10,Jack,38,Finance,7500";
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let data_bytes = Bytes::from(data.to_vec());
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let data_bytes = data.as_bytes();
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// let data = r#""year"╦"gender"╦"ethnicity"╦"firstname"╦"count"╦"rank"
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// "2011"╦"FEMALE"╦"ASIAN AND PACIFIC ISLANDER"╦"SOPHIA"╦"119"╦"1"
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// "2011"╦"FEMALE"╦"ASIAN AND PACIFIC ISLANDER"╦"CHLOE"╦"106"╦"2"
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// "2011"╦"FEMALE"╦"ASIAN AND PACIFIC ISLANDER"╦"EMILY"╦"93"╦"3"
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// "2011"╦"FEMALE"╦"ASIAN AND PACIFIC ISLANDER"╦"OLIVIA"╦"89"╦"4"
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// "2011"╦"FEMALE"╦"ASIAN AND PACIFIC ISLANDER"╦"EMMA"╦"75"╦"5"
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// "2011"╦"FEMALE"╦"ASIAN AND PACIFIC ISLANDER"╦"ISABELLA"╦"67"╦"6"
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// "2011"╦"FEMALE"╦"ASIAN AND PACIFIC ISLANDER"╦"TIFFANY"╦"54"╦"7"
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// "2011"╦"FEMALE"╦"ASIAN AND PACIFIC ISLANDER"╦"ASHLEY"╦"52"╦"8"
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// "2011"╦"FEMALE"╦"ASIAN AND PACIFIC ISLANDER"╦"FIONA"╦"48"╦"9"
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// "2011"╦"FEMALE"╦"ASIAN AND PACIFIC ISLANDER"╦"ANGELA"╦"47"╦"10""#;
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// let data_bytes = Bytes::from(data);
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let path = Path::from(context.input.key.clone());
|
let path = Path::from(context.input.key.clone());
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store.put(&path, data_bytes.into()).await.map_err(|e| {
|
store.put(&path, data_bytes.into()).await.map_err(|e| {
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error!("put data into memory failed: {}", e.to_string());
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error!("put data into memory failed: {}", e.to_string());
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@@ -10,6 +10,7 @@ async-trait.workspace = true
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datafusion = { workspace = true }
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datafusion = { workspace = true }
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derive_builder = { workspace = true }
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derive_builder = { workspace = true }
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futures = { workspace = true }
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futures = { workspace = true }
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lazy_static = { workspace = true }
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parking_lot = { version = "0.12.3" }
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parking_lot = { version = "0.12.3" }
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s3s.workspace = true
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s3s.workspace = true
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snafu = { workspace = true, features = ["backtrace"] }
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snafu = { workspace = true, features = ["backtrace"] }
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@@ -1,4 +1,5 @@
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use std::{
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use std::{
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ops::Deref,
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pin::Pin,
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pin::Pin,
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sync::Arc,
|
sync::Arc,
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task::{Context, Poll},
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task::{Context, Poll},
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@@ -19,8 +20,10 @@ use api::{
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};
|
};
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use async_trait::async_trait;
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use async_trait::async_trait;
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use datafusion::{
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use datafusion::{
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arrow::{datatypes::SchemaRef, record_batch::RecordBatch},
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arrow::{
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config::CsvOptions,
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datatypes::{Schema, SchemaRef},
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record_batch::RecordBatch,
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|
},
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datasource::{
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datasource::{
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file_format::{csv::CsvFormat, json::JsonFormat, parquet::ParquetFormat},
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file_format::{csv::CsvFormat, json::JsonFormat, parquet::ParquetFormat},
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listing::{ListingOptions, ListingTable, ListingTableConfig, ListingTableUrl},
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listing::{ListingOptions, ListingTable, ListingTableConfig, ListingTableUrl},
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@@ -29,7 +32,8 @@ use datafusion::{
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execution::{RecordBatchStream, SendableRecordBatchStream},
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execution::{RecordBatchStream, SendableRecordBatchStream},
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};
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};
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use futures::{Stream, StreamExt};
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use futures::{Stream, StreamExt};
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use s3s::dto::SelectObjectContentInput;
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use lazy_static::lazy_static;
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use s3s::dto::{FileHeaderInfo, SelectObjectContentInput};
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|
|
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use crate::{
|
use crate::{
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||||||
execution::factory::QueryExecutionFactoryRef,
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execution::factory::QueryExecutionFactoryRef,
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@@ -37,6 +41,12 @@ use crate::{
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sql::logical::planner::DefaultLogicalPlanner,
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sql::logical::planner::DefaultLogicalPlanner,
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};
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};
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|
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lazy_static! {
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static ref IGNORE: FileHeaderInfo = FileHeaderInfo::from_static(FileHeaderInfo::IGNORE);
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static ref NONE: FileHeaderInfo = FileHeaderInfo::from_static(FileHeaderInfo::NONE);
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static ref USE: FileHeaderInfo = FileHeaderInfo::from_static(FileHeaderInfo::USE);
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||||||
|
}
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|
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#[derive(Clone)]
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#[derive(Clone)]
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pub struct SimpleQueryDispatcher {
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pub struct SimpleQueryDispatcher {
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||||||
input: SelectObjectContentInput,
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input: SelectObjectContentInput,
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||||||
@@ -138,25 +148,94 @@ impl SimpleQueryDispatcher {
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async fn build_scheme_provider(&self, session: &SessionCtx) -> QueryResult<MetadataProvider> {
|
async fn build_scheme_provider(&self, session: &SessionCtx) -> QueryResult<MetadataProvider> {
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let path = format!("s3://{}/{}", self.input.bucket, self.input.key);
|
let path = format!("s3://{}/{}", self.input.bucket, self.input.key);
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let table_path = ListingTableUrl::parse(path)?;
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let table_path = ListingTableUrl::parse(path)?;
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let listing_options = if self.input.request.input_serialization.csv.is_some() {
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let (listing_options, need_rename_volume_name, need_ignore_volume_name) =
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let file_format = CsvFormat::default().with_options(CsvOptions::default().with_has_header(true));
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if let Some(csv) = self.input.request.input_serialization.csv.as_ref() {
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ListingOptions::new(Arc::new(file_format)).with_file_extension(".csv")
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let mut need_rename_volume_name = false;
|
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} else if self.input.request.input_serialization.parquet.is_some() {
|
let mut need_ignore_volume_name = false;
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let file_format = ParquetFormat::new();
|
let mut file_format = CsvFormat::default()
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||||||
ListingOptions::new(Arc::new(file_format)).with_file_extension(".parquet")
|
.with_comment(
|
||||||
} else if self.input.request.input_serialization.json.is_some() {
|
csv.comments
|
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let file_format = JsonFormat::default();
|
.clone()
|
||||||
ListingOptions::new(Arc::new(file_format)).with_file_extension(".json")
|
.map(|c| c.as_bytes().first().copied().unwrap_or_default()),
|
||||||
} else {
|
)
|
||||||
return Err(QueryError::NotImplemented {
|
.with_escape(
|
||||||
err: "not support this file type".to_string(),
|
csv.quote_escape_character
|
||||||
});
|
.clone()
|
||||||
};
|
.map(|e| e.as_bytes().first().copied().unwrap_or_default()),
|
||||||
|
);
|
||||||
|
if let Some(delimiter) = csv.field_delimiter.as_ref() {
|
||||||
|
file_format = file_format.with_delimiter(delimiter.as_bytes().first().copied().unwrap_or_default());
|
||||||
|
}
|
||||||
|
if csv.file_header_info.is_some() {}
|
||||||
|
match csv.file_header_info.as_ref() {
|
||||||
|
Some(info) => {
|
||||||
|
if *info == *NONE {
|
||||||
|
file_format = file_format.with_has_header(false);
|
||||||
|
need_rename_volume_name = true;
|
||||||
|
} else if *info == *IGNORE {
|
||||||
|
file_format = file_format.with_has_header(true);
|
||||||
|
need_rename_volume_name = true;
|
||||||
|
need_ignore_volume_name = true;
|
||||||
|
} else if *info == *USE {
|
||||||
|
file_format = file_format.with_has_header(true);
|
||||||
|
} else {
|
||||||
|
return Err(QueryError::NotImplemented {
|
||||||
|
err: "unsupported FileHeaderInfo".to_string(),
|
||||||
|
});
|
||||||
|
}
|
||||||
|
}
|
||||||
|
_ => {
|
||||||
|
return Err(QueryError::NotImplemented {
|
||||||
|
err: "unsupported FileHeaderInfo".to_string(),
|
||||||
|
});
|
||||||
|
}
|
||||||
|
}
|
||||||
|
if let Some(quote) = csv.quote_character.as_ref() {
|
||||||
|
file_format = file_format.with_quote(quote.as_bytes().first().copied().unwrap_or_default());
|
||||||
|
}
|
||||||
|
(
|
||||||
|
ListingOptions::new(Arc::new(file_format)).with_file_extension(".csv"),
|
||||||
|
need_rename_volume_name,
|
||||||
|
need_ignore_volume_name,
|
||||||
|
)
|
||||||
|
} else if self.input.request.input_serialization.parquet.is_some() {
|
||||||
|
let file_format = ParquetFormat::new();
|
||||||
|
(ListingOptions::new(Arc::new(file_format)).with_file_extension(".parquet"), false, false)
|
||||||
|
} else if self.input.request.input_serialization.json.is_some() {
|
||||||
|
let file_format = JsonFormat::default();
|
||||||
|
(ListingOptions::new(Arc::new(file_format)).with_file_extension(".json"), false, false)
|
||||||
|
} else {
|
||||||
|
return Err(QueryError::NotImplemented {
|
||||||
|
err: "not support this file type".to_string(),
|
||||||
|
});
|
||||||
|
};
|
||||||
|
|
||||||
let resolve_schema = listing_options.infer_schema(session.inner(), &table_path).await?;
|
let resolve_schema = listing_options.infer_schema(session.inner(), &table_path).await?;
|
||||||
let config = ListingTableConfig::new(table_path)
|
let config = if need_rename_volume_name {
|
||||||
.with_listing_options(listing_options)
|
let mut new_fields = Vec::new();
|
||||||
.with_schema(resolve_schema);
|
for (i, field) in resolve_schema.fields().iter().enumerate() {
|
||||||
|
let f_name = field.name();
|
||||||
|
let mut_field = field.deref().clone();
|
||||||
|
if f_name.starts_with("column_") {
|
||||||
|
let re_name = f_name.replace("column_", "_");
|
||||||
|
new_fields.push(mut_field.with_name(re_name));
|
||||||
|
} else if need_ignore_volume_name {
|
||||||
|
let re_name = format!("_{}", i + 1);
|
||||||
|
new_fields.push(mut_field.with_name(re_name));
|
||||||
|
} else {
|
||||||
|
new_fields.push(mut_field);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
let new_schema = Arc::new(Schema::new(new_fields).with_metadata(resolve_schema.metadata().clone()));
|
||||||
|
ListingTableConfig::new(table_path)
|
||||||
|
.with_listing_options(listing_options)
|
||||||
|
.with_schema(new_schema)
|
||||||
|
} else {
|
||||||
|
ListingTableConfig::new(table_path)
|
||||||
|
.with_listing_options(listing_options)
|
||||||
|
.with_schema(resolve_schema)
|
||||||
|
};
|
||||||
|
// rename default
|
||||||
let provider = Arc::new(ListingTable::try_new(config)?);
|
let provider = Arc::new(ListingTable::try_new(config)?);
|
||||||
let current_session_table_provider = self.build_table_handle_provider()?;
|
let current_session_table_provider = self.build_table_handle_provider()?;
|
||||||
let metadata_provider =
|
let metadata_provider =
|
||||||
|
|||||||
@@ -101,8 +101,8 @@ mod tests {
|
|||||||
};
|
};
|
||||||
use datafusion::{arrow::util::pretty, assert_batches_eq};
|
use datafusion::{arrow::util::pretty, assert_batches_eq};
|
||||||
use s3s::dto::{
|
use s3s::dto::{
|
||||||
CSVInput, CSVOutput, ExpressionType, InputSerialization, OutputSerialization, SelectObjectContentInput,
|
CSVInput, CSVOutput, ExpressionType, FieldDelimiter, FileHeaderInfo, InputSerialization, OutputSerialization,
|
||||||
SelectObjectContentRequest,
|
RecordDelimiter, SelectObjectContentInput, SelectObjectContentRequest,
|
||||||
};
|
};
|
||||||
|
|
||||||
use crate::instance::make_rustfsms;
|
use crate::instance::make_rustfsms;
|
||||||
@@ -122,7 +122,10 @@ mod tests {
|
|||||||
expression: sql.to_string(),
|
expression: sql.to_string(),
|
||||||
expression_type: ExpressionType::from_static("SQL"),
|
expression_type: ExpressionType::from_static("SQL"),
|
||||||
input_serialization: InputSerialization {
|
input_serialization: InputSerialization {
|
||||||
csv: Some(CSVInput::default()),
|
csv: Some(CSVInput {
|
||||||
|
file_header_info: Some(FileHeaderInfo::from_static(FileHeaderInfo::USE)),
|
||||||
|
..Default::default()
|
||||||
|
}),
|
||||||
..Default::default()
|
..Default::default()
|
||||||
},
|
},
|
||||||
output_serialization: OutputSerialization {
|
output_serialization: OutputSerialization {
|
||||||
@@ -164,7 +167,7 @@ mod tests {
|
|||||||
#[tokio::test]
|
#[tokio::test]
|
||||||
#[ignore]
|
#[ignore]
|
||||||
async fn test_func_sql() {
|
async fn test_func_sql() {
|
||||||
let sql = "select count(s.id) from S3Object as s";
|
let sql = "SELECT s._1 FROM S3Object s";
|
||||||
let input = SelectObjectContentInput {
|
let input = SelectObjectContentInput {
|
||||||
bucket: "dandan".to_string(),
|
bucket: "dandan".to_string(),
|
||||||
expected_bucket_owner: None,
|
expected_bucket_owner: None,
|
||||||
@@ -176,7 +179,12 @@ mod tests {
|
|||||||
expression: sql.to_string(),
|
expression: sql.to_string(),
|
||||||
expression_type: ExpressionType::from_static("SQL"),
|
expression_type: ExpressionType::from_static("SQL"),
|
||||||
input_serialization: InputSerialization {
|
input_serialization: InputSerialization {
|
||||||
csv: Some(CSVInput::default()),
|
csv: Some(CSVInput {
|
||||||
|
file_header_info: Some(FileHeaderInfo::from_static(FileHeaderInfo::IGNORE)),
|
||||||
|
field_delimiter: Some(FieldDelimiter::from("╦")),
|
||||||
|
record_delimiter: Some(RecordDelimiter::from("\n")),
|
||||||
|
..Default::default()
|
||||||
|
}),
|
||||||
..Default::default()
|
..Default::default()
|
||||||
},
|
},
|
||||||
output_serialization: OutputSerialization {
|
output_serialization: OutputSerialization {
|
||||||
|
|||||||
Reference in New Issue
Block a user