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Author SHA1 Message Date
discord9
8ca3d72e3f feat(exp): adjust_flow admin function 2025-06-05 13:52:08 +08:00
38 changed files with 400 additions and 914 deletions

2
Cargo.lock generated
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@@ -4876,7 +4876,7 @@ dependencies = [
[[package]]
name = "greptime-proto"
version = "0.1.0"
source = "git+https://github.com/GreptimeTeam/greptime-proto.git?rev=454c52634c3bac27de10bf0d85d5533eed1cf03f#454c52634c3bac27de10bf0d85d5533eed1cf03f"
source = "git+https://github.com/GreptimeTeam/greptime-proto.git?rev=2dca1dc67862d7b410838aef81232274c019b3f6#2dca1dc67862d7b410838aef81232274c019b3f6"
dependencies = [
"prost 0.13.5",
"serde",

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@@ -132,7 +132,7 @@ etcd-client = "0.14"
fst = "0.4.7"
futures = "0.3"
futures-util = "0.3"
greptime-proto = { git = "https://github.com/GreptimeTeam/greptime-proto.git", rev = "454c52634c3bac27de10bf0d85d5533eed1cf03f" }
greptime-proto = { git = "https://github.com/GreptimeTeam/greptime-proto.git", rev = "2dca1dc67862d7b410838aef81232274c019b3f6" }
hex = "0.4"
http = "1"
humantime = "2.1"

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@@ -0,0 +1,90 @@
// Copyright 2023 Greptime Team
//
// Licensed 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.
use common_macro::admin_fn;
use common_query::error::{
InvalidFuncArgsSnafu, MissingFlowServiceHandlerSnafu, Result, UnsupportedInputDataTypeSnafu,
};
use common_query::prelude::Signature;
use datafusion::logical_expr::Volatility;
use datatypes::value::{Value, ValueRef};
use session::context::QueryContextRef;
use snafu::ensure;
use store_api::storage::ConcreteDataType;
use crate::handlers::FlowServiceHandlerRef;
use crate::helper::parse_catalog_flow;
fn adjust_signature() -> Signature {
Signature::exact(
vec![
ConcreteDataType::string_datatype(), // flow name
ConcreteDataType::uint64_datatype(), // min_run_interval in seconds
ConcreteDataType::uint64_datatype(), // max filter number per query
],
Volatility::Immutable,
)
}
#[admin_fn(
name = AdjustFlowFunction,
display_name = adjust_flow,
sig_fn = adjust_signature,
ret = uint64
)]
pub(crate) async fn adjust_flow(
flow_service_handler: &FlowServiceHandlerRef,
query_ctx: &QueryContextRef,
params: &[ValueRef<'_>],
) -> Result<Value> {
ensure!(
params.len() == 3,
InvalidFuncArgsSnafu {
err_msg: format!(
"The length of the args is not correct, expect 3, have: {}",
params.len()
),
}
);
let (flow_name, min_run_interval, max_filter_num) = match (params[0], params[1], params[2]) {
(
ValueRef::String(flow_name),
ValueRef::UInt64(min_run_interval),
ValueRef::UInt64(max_filter_num),
) => (flow_name, min_run_interval, max_filter_num),
_ => {
return UnsupportedInputDataTypeSnafu {
function: "adjust_flow",
datatypes: params.iter().map(|v| v.data_type()).collect::<Vec<_>>(),
}
.fail();
}
};
let (catalog_name, flow_name) = parse_catalog_flow(flow_name, query_ctx)?;
let res = flow_service_handler
.adjust(
&catalog_name,
&flow_name,
min_run_interval,
max_filter_num as usize,
query_ctx.clone(),
)
.await?;
let affected_rows = res.affected_rows;
Ok(Value::from(affected_rows))
}

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@@ -26,6 +26,7 @@ use flush_compact_table::{CompactTableFunction, FlushTableFunction};
use migrate_region::MigrateRegionFunction;
use remove_region_follower::RemoveRegionFollowerFunction;
use crate::adjust_flow::AdjustFlowFunction;
use crate::flush_flow::FlushFlowFunction;
use crate::function_registry::FunctionRegistry;
@@ -43,5 +44,6 @@ impl AdminFunction {
registry.register_async(Arc::new(FlushTableFunction));
registry.register_async(Arc::new(CompactTableFunction));
registry.register_async(Arc::new(FlushFlowFunction));
registry.register_async(Arc::new(AdjustFlowFunction));
}
}

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@@ -12,21 +12,19 @@
// See the License for the specific language governing permissions and
// limitations under the License.
use common_error::ext::BoxedError;
use common_macro::admin_fn;
use common_query::error::{
ExecuteSnafu, InvalidFuncArgsSnafu, MissingFlowServiceHandlerSnafu, Result,
UnsupportedInputDataTypeSnafu,
InvalidFuncArgsSnafu, MissingFlowServiceHandlerSnafu, Result, UnsupportedInputDataTypeSnafu,
};
use common_query::prelude::Signature;
use datafusion::logical_expr::Volatility;
use datatypes::value::{Value, ValueRef};
use session::context::QueryContextRef;
use snafu::{ensure, ResultExt};
use sql::parser::ParserContext;
use snafu::ensure;
use store_api::storage::ConcreteDataType;
use crate::handlers::FlowServiceHandlerRef;
use crate::helper::parse_catalog_flow;
fn flush_signature() -> Signature {
Signature::uniform(
@@ -47,20 +45,6 @@ pub(crate) async fn flush_flow(
query_ctx: &QueryContextRef,
params: &[ValueRef<'_>],
) -> Result<Value> {
let (catalog_name, flow_name) = parse_flush_flow(params, query_ctx)?;
let res = flow_service_handler
.flush(&catalog_name, &flow_name, query_ctx.clone())
.await?;
let affected_rows = res.affected_rows;
Ok(Value::from(affected_rows))
}
fn parse_flush_flow(
params: &[ValueRef<'_>],
query_ctx: &QueryContextRef,
) -> Result<(String, String)> {
ensure!(
params.len() == 1,
InvalidFuncArgsSnafu {
@@ -70,7 +54,6 @@ fn parse_flush_flow(
),
}
);
let ValueRef::String(flow_name) = params[0] else {
return UnsupportedInputDataTypeSnafu {
function: "flush_flow",
@@ -78,27 +61,14 @@ fn parse_flush_flow(
}
.fail();
};
let obj_name = ParserContext::parse_table_name(flow_name, query_ctx.sql_dialect())
.map_err(BoxedError::new)
.context(ExecuteSnafu)?;
let (catalog_name, flow_name) = parse_catalog_flow(flow_name, query_ctx)?;
let (catalog_name, flow_name) = match &obj_name.0[..] {
[flow_name] => (
query_ctx.current_catalog().to_string(),
flow_name.value.clone(),
),
[catalog, flow_name] => (catalog.value.clone(), flow_name.value.clone()),
_ => {
return InvalidFuncArgsSnafu {
err_msg: format!(
"expect flow name to be <catalog>.<flow-name> or <flow-name>, actual: {}",
obj_name
),
}
.fail()
}
};
Ok((catalog_name, flow_name))
let res = flow_service_handler
.flush(&catalog_name, &flow_name, query_ctx.clone())
.await?;
let affected_rows = res.affected_rows;
Ok(Value::from(affected_rows))
}
#[cfg(test)]
@@ -154,10 +124,7 @@ mod test {
("catalog.flow_name", ("catalog", "flow_name")),
];
for (input, expected) in testcases.iter() {
let args = vec![*input];
let args = args.into_iter().map(ValueRef::String).collect::<Vec<_>>();
let result = parse_flush_flow(&args, &QueryContext::arc()).unwrap();
let result = parse_catalog_flow(input, &QueryContext::arc()).unwrap();
assert_eq!(*expected, (result.0.as_str(), result.1.as_str()));
}
}

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@@ -87,6 +87,15 @@ pub trait FlowServiceHandler: Send + Sync {
flow: &str,
ctx: QueryContextRef,
) -> Result<api::v1::flow::FlowResponse>;
async fn adjust(
&self,
catalog: &str,
flow: &str,
min_run_interval_secs: u64,
max_filter_num_per_query: usize,
ctx: QueryContextRef,
) -> Result<api::v1::flow::FlowResponse>;
}
pub type TableMutationHandlerRef = Arc<dyn TableMutationHandler>;

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@@ -12,12 +12,15 @@
// See the License for the specific language governing permissions and
// limitations under the License.
use common_query::error::{InvalidInputTypeSnafu, Result};
use common_error::ext::BoxedError;
use common_query::error::{ExecuteSnafu, InvalidFuncArgsSnafu, InvalidInputTypeSnafu, Result};
use common_query::prelude::{Signature, TypeSignature, Volatility};
use datatypes::prelude::ConcreteDataType;
use datatypes::types::cast::cast;
use datatypes::value::ValueRef;
use session::context::QueryContextRef;
use snafu::ResultExt;
use sql::parser::ParserContext;
/// Create a function signature with oneof signatures of interleaving two arguments.
pub fn one_of_sigs2(args1: Vec<ConcreteDataType>, args2: Vec<ConcreteDataType>) -> Signature {
@@ -43,3 +46,30 @@ pub fn cast_u64(value: &ValueRef) -> Result<Option<u64>> {
})
.map(|v| v.as_u64())
}
pub fn parse_catalog_flow(
flow_name: &str,
query_ctx: &QueryContextRef,
) -> Result<(String, String)> {
let obj_name = ParserContext::parse_table_name(flow_name, query_ctx.sql_dialect())
.map_err(BoxedError::new)
.context(ExecuteSnafu)?;
let (catalog_name, flow_name) = match &obj_name.0[..] {
[flow_name] => (
query_ctx.current_catalog().to_string(),
flow_name.value.clone(),
),
[catalog, flow_name] => (catalog.value.clone(), flow_name.value.clone()),
_ => {
return InvalidFuncArgsSnafu {
err_msg: format!(
"expect flow name to be <catalog>.<flow-name> or <flow-name>, actual: {}",
obj_name
),
}
.fail()
}
};
Ok((catalog_name, flow_name))
}

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@@ -15,6 +15,7 @@
#![feature(let_chains)]
#![feature(try_blocks)]
mod adjust_flow;
mod admin;
mod flush_flow;
mod macros;

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@@ -148,6 +148,17 @@ impl FunctionState {
) -> Result<api::v1::flow::FlowResponse> {
todo!()
}
async fn adjust(
&self,
_catalog: &str,
_flow: &str,
_min_run_interval_secs: u64,
_max_filter_num_per_query: usize,
_ctx: QueryContextRef,
) -> Result<api::v1::flow::FlowResponse> {
todo!()
}
}
Self {

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@@ -18,7 +18,6 @@ pub mod create_table;
pub mod datanode_handler;
pub mod flownode_handler;
use std::assert_matches::assert_matches;
use std::collections::HashMap;
use api::v1::meta::Partition;
@@ -76,6 +75,8 @@ pub async fn create_logical_table(
physical_table_id: TableId,
table_name: &str,
) -> TableId {
use std::assert_matches::assert_matches;
let tasks = vec![test_create_logical_table_task(table_name)];
let mut procedure = CreateLogicalTablesProcedure::new(tasks, physical_table_id, ddl_context);
let status = procedure.on_prepare().await.unwrap();

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@@ -14,7 +14,7 @@
pub mod flow_info;
pub(crate) mod flow_name;
pub mod flow_route;
pub(crate) mod flow_route;
pub mod flow_state;
mod flownode_addr_helper;
pub(crate) mod flownode_flow;

View File

@@ -114,37 +114,37 @@ impl<'a> MetadataKey<'a, FlowInfoKeyInner> for FlowInfoKeyInner {
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
pub struct FlowInfoValue {
/// The source tables used by the flow.
pub source_table_ids: Vec<TableId>,
pub(crate) source_table_ids: Vec<TableId>,
/// The sink table used by the flow.
pub sink_table_name: TableName,
pub(crate) sink_table_name: TableName,
/// Which flow nodes this flow is running on.
pub flownode_ids: BTreeMap<FlowPartitionId, FlownodeId>,
pub(crate) flownode_ids: BTreeMap<FlowPartitionId, FlownodeId>,
/// The catalog name.
pub catalog_name: String,
pub(crate) catalog_name: String,
/// The query context used when create flow.
/// Although flow doesn't belong to any schema, this query_context is needed to remember
/// the query context when `create_flow` is executed
/// for recovering flow using the same sql&query_context after db restart.
/// if none, should use default query context
#[serde(default)]
pub query_context: Option<crate::rpc::ddl::QueryContext>,
pub(crate) query_context: Option<crate::rpc::ddl::QueryContext>,
/// The flow name.
pub flow_name: String,
pub(crate) flow_name: String,
/// The raw sql.
pub raw_sql: String,
pub(crate) raw_sql: String,
/// The expr of expire.
/// Duration in seconds as `i64`.
pub expire_after: Option<i64>,
pub(crate) expire_after: Option<i64>,
/// The comment.
pub comment: String,
pub(crate) comment: String,
/// The options.
pub options: HashMap<String, String>,
pub(crate) options: HashMap<String, String>,
/// The created time
#[serde(default)]
pub created_time: DateTime<Utc>,
pub(crate) created_time: DateTime<Utc>,
/// The updated time.
#[serde(default)]
pub updated_time: DateTime<Utc>,
pub(crate) updated_time: DateTime<Utc>,
}
impl FlowInfoValue {

View File

@@ -133,18 +133,6 @@ pub enum Error {
source: datatypes::error::Error,
},
#[snafu(display(
"Failed to downcast vector of type '{:?}' to type '{:?}'",
from_type,
to_type
))]
DowncastVector {
from_type: ConcreteDataType,
to_type: ConcreteDataType,
#[snafu(implicit)]
location: Location,
},
#[snafu(display("Error occurs when performing arrow computation"))]
ArrowCompute {
#[snafu(source)]
@@ -204,8 +192,6 @@ impl ErrorExt for Error {
| Error::PhysicalExpr { .. }
| Error::RecordBatchSliceIndexOverflow { .. } => StatusCode::Internal,
Error::DowncastVector { .. } => StatusCode::Unexpected,
Error::PollStream { .. } => StatusCode::EngineExecuteQuery,
Error::ArrowCompute { .. } => StatusCode::IllegalState,

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@@ -30,16 +30,13 @@ pub use datafusion::physical_plan::SendableRecordBatchStream as DfSendableRecord
use datatypes::arrow::compute::SortOptions;
pub use datatypes::arrow::record_batch::RecordBatch as DfRecordBatch;
use datatypes::arrow::util::pretty;
use datatypes::prelude::{ConcreteDataType, VectorRef};
use datatypes::scalars::{ScalarVector, ScalarVectorBuilder};
use datatypes::schema::{ColumnSchema, Schema, SchemaRef};
use datatypes::types::json_type_value_to_string;
use datatypes::vectors::{BinaryVector, StringVectorBuilder};
use datatypes::prelude::VectorRef;
use datatypes::schema::{Schema, SchemaRef};
use error::Result;
use futures::task::{Context, Poll};
use futures::{Stream, TryStreamExt};
pub use recordbatch::RecordBatch;
use snafu::{ensure, OptionExt, ResultExt};
use snafu::{ensure, ResultExt};
pub trait RecordBatchStream: Stream<Item = Result<RecordBatch>> {
fn name(&self) -> &str {
@@ -61,146 +58,6 @@ pub struct OrderOption {
pub options: SortOptions,
}
/// A wrapper that maps a [RecordBatchStream] to a new [RecordBatchStream] by applying a function to each [RecordBatch].
///
/// The mapper function is applied to each [RecordBatch] in the stream.
/// The schema of the new [RecordBatchStream] is the same as the schema of the inner [RecordBatchStream] after applying the schema mapper function.
/// The output ordering of the new [RecordBatchStream] is the same as the output ordering of the inner [RecordBatchStream].
/// The metrics of the new [RecordBatchStream] is the same as the metrics of the inner [RecordBatchStream] if it is not `None`.
pub struct SendableRecordBatchMapper {
inner: SendableRecordBatchStream,
/// The mapper function is applied to each [RecordBatch] in the stream.
/// The original schema and the mapped schema are passed to the mapper function.
mapper: fn(RecordBatch, &SchemaRef, &SchemaRef) -> Result<RecordBatch>,
/// The schema of the new [RecordBatchStream] is the same as the schema of the inner [RecordBatchStream] after applying the schema mapper function.
schema: SchemaRef,
/// Whether the mapper function is applied to each [RecordBatch] in the stream.
apply_mapper: bool,
}
/// Maps the json type to string in the batch.
///
/// The json type is mapped to string by converting the json value to string.
/// The batch is updated to have the same number of columns as the original batch,
/// but with the json type mapped to string.
pub fn map_json_type_to_string(
batch: RecordBatch,
original_schema: &SchemaRef,
mapped_schema: &SchemaRef,
) -> Result<RecordBatch> {
let mut vectors = Vec::with_capacity(original_schema.column_schemas().len());
for (vector, schema) in batch.columns.iter().zip(original_schema.column_schemas()) {
if let ConcreteDataType::Json(j) = schema.data_type {
let mut string_vector_builder = StringVectorBuilder::with_capacity(vector.len());
let binary_vector = vector
.as_any()
.downcast_ref::<BinaryVector>()
.with_context(|| error::DowncastVectorSnafu {
from_type: schema.data_type.clone(),
to_type: ConcreteDataType::binary_datatype(),
})?;
for value in binary_vector.iter_data() {
let Some(value) = value else {
string_vector_builder.push(None);
continue;
};
let string_value =
json_type_value_to_string(value, &j.format).with_context(|_| {
error::CastVectorSnafu {
from_type: schema.data_type.clone(),
to_type: ConcreteDataType::string_datatype(),
}
})?;
string_vector_builder.push(Some(string_value.as_str()));
}
let string_vector = string_vector_builder.finish();
vectors.push(Arc::new(string_vector) as VectorRef);
} else {
vectors.push(vector.clone());
}
}
RecordBatch::new(mapped_schema.clone(), vectors)
}
/// Maps the json type to string in the schema.
///
/// The json type is mapped to string by converting the json value to string.
/// The schema is updated to have the same number of columns as the original schema,
/// but with the json type mapped to string.
///
/// Returns the new schema and whether the schema needs to be mapped to string.
pub fn map_json_type_to_string_schema(schema: SchemaRef) -> (SchemaRef, bool) {
let mut new_columns = Vec::with_capacity(schema.column_schemas().len());
let mut apply_mapper = false;
for column in schema.column_schemas() {
if matches!(column.data_type, ConcreteDataType::Json(_)) {
new_columns.push(ColumnSchema::new(
column.name.to_string(),
ConcreteDataType::string_datatype(),
column.is_nullable(),
));
apply_mapper = true;
} else {
new_columns.push(column.clone());
}
}
(Arc::new(Schema::new(new_columns)), apply_mapper)
}
impl SendableRecordBatchMapper {
/// Creates a new [SendableRecordBatchMapper] with the given inner [RecordBatchStream], mapper function, and schema mapper function.
pub fn new(
inner: SendableRecordBatchStream,
mapper: fn(RecordBatch, &SchemaRef, &SchemaRef) -> Result<RecordBatch>,
schema_mapper: fn(SchemaRef) -> (SchemaRef, bool),
) -> Self {
let (mapped_schema, apply_mapper) = schema_mapper(inner.schema());
Self {
inner,
mapper,
schema: mapped_schema,
apply_mapper,
}
}
}
impl RecordBatchStream for SendableRecordBatchMapper {
fn name(&self) -> &str {
"SendableRecordBatchMapper"
}
fn schema(&self) -> SchemaRef {
self.schema.clone()
}
fn output_ordering(&self) -> Option<&[OrderOption]> {
self.inner.output_ordering()
}
fn metrics(&self) -> Option<RecordBatchMetrics> {
self.inner.metrics()
}
}
impl Stream for SendableRecordBatchMapper {
type Item = Result<RecordBatch>;
fn poll_next(mut self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll<Option<Self::Item>> {
if self.apply_mapper {
Pin::new(&mut self.inner).poll_next(cx).map(|opt| {
opt.map(|result| {
result
.and_then(|batch| (self.mapper)(batch, &self.inner.schema(), &self.schema))
})
})
} else {
Pin::new(&mut self.inner).poll_next(cx)
}
}
}
/// EmptyRecordBatchStream can be used to create a RecordBatchStream
/// that will produce no results
pub struct EmptyRecordBatchStream {

View File

@@ -61,6 +61,7 @@ prost.workspace = true
query.workspace = true
rand.workspace = true
serde.workspace = true
serde_json.workspace = true
servers.workspace = true
session.workspace = true
smallvec.workspace = true

View File

@@ -18,7 +18,7 @@ use std::sync::atomic::AtomicBool;
use std::sync::Arc;
use api::v1::flow::{
flow_request, CreateRequest, DropRequest, FlowRequest, FlowResponse, FlushFlow,
flow_request, AdjustFlow, CreateRequest, DropRequest, FlowRequest, FlowResponse, FlushFlow,
};
use api::v1::region::InsertRequests;
use catalog::CatalogManager;
@@ -32,6 +32,7 @@ use common_telemetry::{error, info, trace, warn};
use datatypes::value::Value;
use futures::TryStreamExt;
use itertools::Itertools;
use serde::{Deserialize, Serialize};
use session::context::QueryContextBuilder;
use snafu::{ensure, IntoError, OptionExt, ResultExt};
use store_api::storage::{RegionId, TableId};
@@ -809,6 +810,25 @@ impl common_meta::node_manager::Flownode for FlowDualEngine {
..Default::default()
})
}
Some(flow_request::Body::Adjust(AdjustFlow { flow_id, options })) => {
#[derive(Debug, Serialize, Deserialize)]
struct Options {
min_run_interval_secs: u64,
max_filter_num_per_query: usize,
}
let options: Options = serde_json::from_str(&options).with_context(|_| {
common_meta::error::DeserializeFromJsonSnafu { input: options }
})?;
self.batching_engine
.adjust_flow(
flow_id.unwrap().id as u64,
options.min_run_interval_secs,
options.max_filter_num_per_query,
)
.await
.map_err(to_meta_err(snafu::location!()))?;
Ok(Default::default())
}
other => common_meta::error::InvalidFlowRequestBodySnafu { body: other }.fail(),
}
}
@@ -841,93 +861,6 @@ fn to_meta_err(
}
}
#[async_trait::async_trait]
impl common_meta::node_manager::Flownode for StreamingEngine {
async fn handle(&self, request: FlowRequest) -> MetaResult<FlowResponse> {
let query_ctx = request
.header
.and_then(|h| h.query_context)
.map(|ctx| ctx.into());
match request.body {
Some(flow_request::Body::Create(CreateRequest {
flow_id: Some(task_id),
source_table_ids,
sink_table_name: Some(sink_table_name),
create_if_not_exists,
expire_after,
comment,
sql,
flow_options,
or_replace,
})) => {
let source_table_ids = source_table_ids.into_iter().map(|id| id.id).collect_vec();
let sink_table_name = [
sink_table_name.catalog_name,
sink_table_name.schema_name,
sink_table_name.table_name,
];
let expire_after = expire_after.map(|e| e.value);
let args = CreateFlowArgs {
flow_id: task_id.id as u64,
sink_table_name,
source_table_ids,
create_if_not_exists,
or_replace,
expire_after,
comment: Some(comment),
sql: sql.clone(),
flow_options,
query_ctx,
};
let ret = self
.create_flow(args)
.await
.map_err(BoxedError::new)
.with_context(|_| CreateFlowSnafu { sql: sql.clone() })
.map_err(to_meta_err(snafu::location!()))?;
METRIC_FLOW_TASK_COUNT.inc();
Ok(FlowResponse {
affected_flows: ret
.map(|id| greptime_proto::v1::FlowId { id: id as u32 })
.into_iter()
.collect_vec(),
..Default::default()
})
}
Some(flow_request::Body::Drop(DropRequest {
flow_id: Some(flow_id),
})) => {
self.remove_flow(flow_id.id as u64)
.await
.map_err(to_meta_err(snafu::location!()))?;
METRIC_FLOW_TASK_COUNT.dec();
Ok(Default::default())
}
Some(flow_request::Body::Flush(FlushFlow {
flow_id: Some(flow_id),
})) => {
let row = self
.flush_flow_inner(flow_id.id as u64)
.await
.map_err(to_meta_err(snafu::location!()))?;
Ok(FlowResponse {
affected_flows: vec![flow_id],
affected_rows: row as u64,
..Default::default()
})
}
other => common_meta::error::InvalidFlowRequestBodySnafu { body: other }.fail(),
}
}
async fn handle_inserts(&self, request: InsertRequests) -> MetaResult<FlowResponse> {
self.handle_inserts_inner(request)
.await
.map(|_| Default::default())
.map_err(to_meta_err(snafu::location!()))
}
}
impl FlowEngine for StreamingEngine {
async fn create_flow(&self, args: CreateFlowArgs) -> Result<Option<FlowId>, Error> {
self.create_flow_inner(args).await

View File

@@ -388,6 +388,20 @@ impl BatchingEngine {
pub async fn flow_exist_inner(&self, flow_id: FlowId) -> bool {
self.tasks.read().await.contains_key(&flow_id)
}
pub async fn adjust_flow(
&self,
flow_id: FlowId,
min_run_interval_secs: u64,
max_filter_num_per_query: usize,
) -> Result<(), Error> {
let task = self.tasks.read().await.get(&flow_id).cloned();
let task = task.with_context(|| FlowNotFoundSnafu { id: flow_id })?;
debug!("Adjusting flow {flow_id} with min_run_interval_secs={} and max_filter_num_per_query={}", min_run_interval_secs, max_filter_num_per_query);
task.adjust(min_run_interval_secs, max_filter_num_per_query);
Ok(())
}
}
impl FlowEngine for BatchingEngine {

View File

@@ -14,9 +14,8 @@
//! Frontend client to run flow as batching task which is time-window-aware normal query triggered every tick set by user
use std::collections::HashMap;
use std::sync::{Arc, Mutex, Weak};
use std::time::{Duration, Instant, SystemTime};
use std::sync::{Arc, Weak};
use std::time::SystemTime;
use api::v1::greptime_request::Request;
use api::v1::CreateTableExpr;
@@ -27,21 +26,20 @@ use common_meta::cluster::{NodeInfo, NodeInfoKey, Role};
use common_meta::peer::Peer;
use common_meta::rpc::store::RangeRequest;
use common_query::Output;
use common_telemetry::{debug, warn};
use itertools::Itertools;
use common_telemetry::warn;
use meta_client::client::MetaClient;
use rand::rng;
use rand::seq::SliceRandom;
use servers::query_handler::grpc::GrpcQueryHandler;
use session::context::{QueryContextBuilder, QueryContextRef};
use snafu::{OptionExt, ResultExt};
use crate::batching_mode::task::BatchingTask;
use crate::batching_mode::{
DEFAULT_BATCHING_ENGINE_QUERY_TIMEOUT, FRONTEND_ACTIVITY_TIMEOUT, GRPC_CONN_TIMEOUT,
GRPC_MAX_RETRIES,
};
use crate::error::{ExternalSnafu, InvalidRequestSnafu, NoAvailableFrontendSnafu, UnexpectedSnafu};
use crate::metrics::METRIC_FLOW_BATCHING_ENGINE_GUESS_FE_LOAD;
use crate::{Error, FlowAuthHeader, FlowId};
use crate::{Error, FlowAuthHeader};
/// Just like [`GrpcQueryHandler`] but use BoxedError
///
@@ -76,105 +74,6 @@ impl<
type HandlerMutable = Arc<std::sync::Mutex<Option<Weak<dyn GrpcQueryHandlerWithBoxedError>>>>;
/// Statistics about running query on this frontend from flownode
#[derive(Debug, Default, Clone)]
struct FrontendStat {
/// The query for flow id has been running since this timestamp
since: HashMap<FlowId, Instant>,
/// The average query time for each flow id
/// This is used to calculate the average query time for each flow id
past_query_avg: HashMap<FlowId, (usize, Duration)>,
}
#[derive(Debug, Default, Clone)]
pub struct FrontendStats {
/// The statistics for each flow id
stats: Arc<Mutex<HashMap<String, FrontendStat>>>,
}
impl FrontendStats {
pub fn observe(&self, frontend_addr: &str, flow_id: FlowId) -> FrontendStatsGuard {
let mut stats = self.stats.lock().expect("Failed to lock frontend stats");
let stat = stats.entry(frontend_addr.to_string()).or_default();
stat.since.insert(flow_id, Instant::now());
FrontendStatsGuard {
stats: self.stats.clone(),
frontend_addr: frontend_addr.to_string(),
cur: flow_id,
}
}
/// return frontend addrs sorted by load, from lightest to heaviest
/// The load is calculated as the total average query time for each flow id plus running query's total running time elapsed
pub fn sort_by_load(&self) -> Vec<String> {
let stats = self.stats.lock().expect("Failed to lock frontend stats");
let fe_load_factor = stats
.iter()
.map(|(node_addr, stat)| {
// total expected avg running time for all currently running queries
let total_expect_avg_run_time = stat
.since
.keys()
.map(|f| {
let (count, total_duration) =
stat.past_query_avg.get(f).unwrap_or(&(0, Duration::ZERO));
if *count == 0 {
0.0
} else {
total_duration.as_secs_f64() / *count as f64
}
})
.sum::<f64>();
let total_cur_running_time = stat
.since
.values()
.map(|since| since.elapsed().as_secs_f64())
.sum::<f64>();
(
node_addr.to_string(),
total_expect_avg_run_time + total_cur_running_time,
)
})
.sorted_by(|(_, load_a), (_, load_b)| {
load_a
.partial_cmp(load_b)
.unwrap_or(std::cmp::Ordering::Equal)
})
.collect::<Vec<_>>();
debug!("Frontend load factor: {:?}", fe_load_factor);
for (node_addr, load) in &fe_load_factor {
METRIC_FLOW_BATCHING_ENGINE_GUESS_FE_LOAD
.with_label_values(&[&node_addr.to_string()])
.observe(*load);
}
fe_load_factor
.into_iter()
.map(|(addr, _)| addr)
.collect::<Vec<_>>()
}
}
pub struct FrontendStatsGuard {
stats: Arc<Mutex<HashMap<String, FrontendStat>>>,
frontend_addr: String,
cur: FlowId,
}
impl Drop for FrontendStatsGuard {
fn drop(&mut self) {
let mut stats = self.stats.lock().expect("Failed to lock frontend stats");
if let Some(stat) = stats.get_mut(&self.frontend_addr) {
if let Some(since) = stat.since.remove(&self.cur) {
let elapsed = since.elapsed();
let (count, total_duration) = stat.past_query_avg.entry(self.cur).or_default();
*count += 1;
*total_duration += elapsed;
}
}
}
}
/// A simple frontend client able to execute sql using grpc protocol
///
/// This is for computation-heavy query which need to offload computation to frontend, lifting the load from flownode
@@ -184,7 +83,6 @@ pub enum FrontendClient {
meta_client: Arc<MetaClient>,
chnl_mgr: ChannelManager,
auth: Option<FlowAuthHeader>,
fe_stats: FrontendStats,
},
Standalone {
/// for the sake of simplicity still use grpc even in standalone mode
@@ -216,7 +114,6 @@ impl FrontendClient {
ChannelManager::with_config(cfg)
},
auth,
fe_stats: Default::default(),
}
}
@@ -295,7 +192,6 @@ impl FrontendClient {
meta_client: _,
chnl_mgr,
auth,
fe_stats,
} = self
else {
return UnexpectedSnafu {
@@ -312,21 +208,8 @@ impl FrontendClient {
.duration_since(SystemTime::UNIX_EPOCH)
.unwrap()
.as_millis() as i64;
let node_addrs_by_load = fe_stats.sort_by_load();
// index+1 to load order asc, so that the lightest node has load 1 and non-existent node has load 0
let addr2load = node_addrs_by_load
.iter()
.enumerate()
.map(|(i, id)| (id.clone(), i + 1))
.collect::<HashMap<_, _>>();
// sort frontends by load, from lightest to heaviest
frontends.sort_by(|(_, a), (_, b)| {
// if not even in stats, treat as 0 load since never been queried
let load_a = addr2load.get(&a.peer.addr).unwrap_or(&0);
let load_b = addr2load.get(&b.peer.addr).unwrap_or(&0);
load_a.cmp(load_b)
});
debug!("Frontend nodes sorted by load: {:?}", frontends);
// shuffle the frontends to avoid always pick the same one
frontends.shuffle(&mut rng());
// found node with maximum last_activity_ts
for (_, node_info) in frontends
@@ -374,7 +257,6 @@ impl FrontendClient {
create: CreateTableExpr,
catalog: &str,
schema: &str,
task: Option<&BatchingTask>,
) -> Result<u32, Error> {
self.handle(
Request::Ddl(api::v1::DdlRequest {
@@ -383,7 +265,6 @@ impl FrontendClient {
catalog,
schema,
&mut None,
task,
)
.await
}
@@ -395,19 +276,15 @@ impl FrontendClient {
catalog: &str,
schema: &str,
peer_desc: &mut Option<PeerDesc>,
task: Option<&BatchingTask>,
) -> Result<u32, Error> {
match self {
FrontendClient::Distributed { fe_stats, .. } => {
FrontendClient::Distributed { .. } => {
let db = self.get_random_active_frontend(catalog, schema).await?;
*peer_desc = Some(PeerDesc::Dist {
peer: db.peer.clone(),
});
let flow_id = task.map(|t| t.config.flow_id).unwrap_or_default();
let _guard = fe_stats.observe(&db.peer.addr, flow_id);
db.database
.handle_with_retry(req.clone(), GRPC_MAX_RETRIES)
.await

View File

@@ -32,6 +32,7 @@ use crate::batching_mode::MIN_REFRESH_DURATION;
use crate::error::{DatatypesSnafu, InternalSnafu, TimeSnafu, UnexpectedSnafu};
use crate::metrics::{
METRIC_FLOW_BATCHING_ENGINE_QUERY_TIME_RANGE, METRIC_FLOW_BATCHING_ENGINE_QUERY_WINDOW_CNT,
METRIC_FLOW_BATCHING_ENGINE_STALLED_QUERY_WINDOW_CNT,
};
use crate::{Error, FlowId};
@@ -52,6 +53,11 @@ pub struct TaskState {
pub(crate) shutdown_rx: oneshot::Receiver<()>,
/// Task handle
pub(crate) task_handle: Option<tokio::task::JoinHandle<()>>,
/// min run interval in seconds
pub(crate) min_run_interval: Option<u64>,
/// max filter number per query
pub(crate) max_filter_num: Option<usize>,
}
impl TaskState {
pub fn new(query_ctx: QueryContextRef, shutdown_rx: oneshot::Receiver<()>) -> Self {
@@ -63,6 +69,8 @@ impl TaskState {
exec_state: ExecState::Idle,
shutdown_rx,
task_handle: None,
min_run_interval: None,
max_filter_num: None,
}
}
@@ -87,20 +95,17 @@ impl TaskState {
pub fn get_next_start_query_time(
&self,
flow_id: FlowId,
time_window_size: &Option<Duration>,
_time_window_size: &Option<Duration>,
max_timeout: Option<Duration>,
) -> Instant {
let last_duration = max_timeout
let next_duration = max_timeout
.unwrap_or(self.last_query_duration)
.min(self.last_query_duration)
.max(MIN_REFRESH_DURATION);
let next_duration = time_window_size
.map(|t| {
let half = t / 2;
half.max(last_duration)
})
.unwrap_or(last_duration);
.max(
self.min_run_interval
.map(|s| Duration::from_secs(s))
.unwrap_or(MIN_REFRESH_DURATION),
);
// if have dirty time window, execute immediately to clean dirty time window
if self.dirty_time_windows.windows.is_empty() {
@@ -246,6 +251,10 @@ impl DirtyTimeWindows {
.with_label_values(&[flow_id.to_string().as_str()])
.observe(first_nth.len() as f64);
METRIC_FLOW_BATCHING_ENGINE_STALLED_QUERY_WINDOW_CNT
.with_label_values(&[flow_id.to_string().as_str()])
.observe(self.windows.len() as f64);
let full_time_range = first_nth
.iter()
.fold(chrono::Duration::zero(), |acc, (start, end)| {

View File

@@ -144,6 +144,12 @@ impl BatchingTask {
})
}
pub fn adjust(&self, min_run_interval_secs: u64, max_filter_num_per_query: usize) {
let mut state = self.state.write().unwrap();
state.min_run_interval = Some(min_run_interval_secs);
state.max_filter_num = Some(max_filter_num_per_query);
}
/// mark time window range (now - expire_after, now) as dirty (or (0, now) if expire_after not set)
///
/// useful for flush_flow to flush dirty time windows range
@@ -280,7 +286,7 @@ impl BatchingTask {
let catalog = &self.config.sink_table_name[0];
let schema = &self.config.sink_table_name[1];
frontend_client
.create(expr.clone(), catalog, schema, Some(self))
.create(expr.clone(), catalog, schema)
.await?;
Ok(())
}
@@ -361,7 +367,7 @@ impl BatchingTask {
};
frontend_client
.handle(req, catalog, schema, &mut peer_desc, Some(self))
.handle(req, catalog, schema, &mut peer_desc)
.await
};
@@ -580,19 +586,20 @@ impl BatchingTask {
),
})?;
let expr = self
.state
.write()
.unwrap()
.dirty_time_windows
.gen_filter_exprs(
let expr = {
let mut state = self.state.write().unwrap();
let max_window_cnt = state
.max_filter_num
.unwrap_or(DirtyTimeWindows::MAX_FILTER_NUM);
state.dirty_time_windows.gen_filter_exprs(
&col_name,
Some(l),
window_size,
DirtyTimeWindows::MAX_FILTER_NUM,
max_window_cnt,
self.config.flow_id,
Some(self),
)?;
)?
};
debug!(
"Flow id={:?}, Generated filter expr: {:?}",

View File

@@ -42,6 +42,14 @@ lazy_static! {
vec![60., 2. * 60., 3. * 60., 5. * 60., 10. * 60.]
)
.unwrap();
pub static ref METRIC_FLOW_BATCHING_ENGINE_STALLED_QUERY_WINDOW_CNT: HistogramVec =
register_histogram_vec!(
"greptime_flow_batching_engine_stalled_query_window_cnt",
"flow batching engine stalled query time window count",
&["flow_id"],
vec![0.0, 5., 10., 20., 40.]
)
.unwrap();
pub static ref METRIC_FLOW_BATCHING_ENGINE_QUERY_WINDOW_CNT: HistogramVec =
register_histogram_vec!(
"greptime_flow_batching_engine_query_window_cnt",
@@ -58,14 +66,6 @@ lazy_static! {
vec![60., 4. * 60., 16. * 60., 64. * 60., 256. * 60.]
)
.unwrap();
pub static ref METRIC_FLOW_BATCHING_ENGINE_GUESS_FE_LOAD: HistogramVec =
register_histogram_vec!(
"greptime_flow_batching_engine_guess_fe_load",
"flow batching engine guessed frontend load",
&["fe_addr"],
vec![60., 4. * 60., 16. * 60., 64. * 60., 256. * 60.]
)
.unwrap();
pub static ref METRIC_FLOW_RUN_INTERVAL_MS: IntGauge =
register_int_gauge!("greptime_flow_run_interval_ms", "flow run interval in ms").unwrap();
pub static ref METRIC_FLOW_ROWS: IntCounterVec = register_int_counter_vec!(

View File

@@ -375,7 +375,7 @@ impl HeartbeatMailbox {
/// Parses the [Instruction] from [MailboxMessage].
#[cfg(test)]
pub fn json_instruction(msg: &MailboxMessage) -> Result<Instruction> {
pub(crate) fn json_instruction(msg: &MailboxMessage) -> Result<Instruction> {
let Payload::Json(payload) =
msg.payload
.as_ref()

View File

@@ -12,7 +12,7 @@
// See the License for the specific language governing permissions and
// limitations under the License.
use api::v1::flow::FlowRequestHeader;
use api::v1::flow::{AdjustFlow, FlowRequestHeader};
use async_trait::async_trait;
use common_error::ext::BoxedError;
use common_function::handlers::FlowServiceHandler;
@@ -22,6 +22,7 @@ use common_query::error::Result;
use common_telemetry::tracing_context::TracingContext;
use futures::stream::FuturesUnordered;
use futures::StreamExt;
use serde_json::json;
use session::context::QueryContextRef;
use snafu::{OptionExt, ResultExt};
@@ -57,9 +58,96 @@ impl FlowServiceHandler for FlowServiceOperator {
) -> Result<api::v1::flow::FlowResponse> {
self.flush_inner(catalog, flow, ctx).await
}
async fn adjust(
&self,
catalog: &str,
flow: &str,
min_run_interval_secs: u64,
max_filter_num_per_query: usize,
ctx: QueryContextRef,
) -> Result<api::v1::flow::FlowResponse> {
self.adjust_inner(
catalog,
flow,
min_run_interval_secs,
max_filter_num_per_query,
ctx,
)
.await
}
}
impl FlowServiceOperator {
async fn adjust_inner(
&self,
catalog: &str,
flow: &str,
min_run_interval_secs: u64,
max_filter_num_per_query: usize,
ctx: QueryContextRef,
) -> Result<api::v1::flow::FlowResponse> {
let id = self
.flow_metadata_manager
.flow_name_manager()
.get(catalog, flow)
.await
.map_err(BoxedError::new)
.context(common_query::error::ExecuteSnafu)?
.context(common_meta::error::FlowNotFoundSnafu {
flow_name: format!("{}.{}", catalog, flow),
})
.map_err(BoxedError::new)
.context(common_query::error::ExecuteSnafu)?
.flow_id();
let all_flownode_peers = self
.flow_metadata_manager
.flow_route_manager()
.routes(id)
.await
.map_err(BoxedError::new)
.context(common_query::error::ExecuteSnafu)?;
// order of flownodes doesn't matter here
let all_flow_nodes = FuturesUnordered::from_iter(
all_flownode_peers
.iter()
.map(|(_key, peer)| self.node_manager.flownode(peer.peer())),
)
.collect::<Vec<_>>()
.await;
// TODO(discord9): use proper type for flow options
let options = json!({
"min_run_interval_secs": min_run_interval_secs,
"max_filter_num_per_query": max_filter_num_per_query,
});
for node in all_flow_nodes {
let _res = {
use api::v1::flow::{flow_request, FlowRequest};
let flush_req = FlowRequest {
header: Some(FlowRequestHeader {
tracing_context: TracingContext::from_current_span().to_w3c(),
query_context: Some(
common_meta::rpc::ddl::QueryContext::from(ctx.clone()).into(),
),
}),
body: Some(flow_request::Body::Adjust(AdjustFlow {
flow_id: Some(api::v1::FlowId { id }),
options: options.to_string(),
})),
};
node.handle(flush_req)
.await
.map_err(BoxedError::new)
.context(common_query::error::ExecuteSnafu)?
};
}
Ok(Default::default())
}
/// Flush the flownodes according to the flow id.
async fn flush_inner(
&self,

View File

@@ -25,10 +25,7 @@ use common_datasource::object_store::{build_backend, parse_url};
use common_datasource::util::find_dir_and_filename;
use common_query::Output;
use common_recordbatch::adapter::DfRecordBatchStreamAdapter;
use common_recordbatch::{
map_json_type_to_string, map_json_type_to_string_schema, RecordBatchStream,
SendableRecordBatchMapper, SendableRecordBatchStream,
};
use common_recordbatch::SendableRecordBatchStream;
use common_telemetry::{debug, tracing};
use datafusion::datasource::DefaultTableSource;
use datafusion_common::TableReference as DfTableReference;
@@ -60,11 +57,6 @@ impl StatementExecutor {
) -> Result<usize> {
let threshold = WRITE_BUFFER_THRESHOLD.as_bytes() as usize;
let stream = Box::pin(SendableRecordBatchMapper::new(
stream,
map_json_type_to_string,
map_json_type_to_string_schema,
));
match format {
Format::Csv(_) => stream_to_csv(
Box::pin(DfRecordBatchStreamAdapter::new(stream)),

View File

@@ -187,42 +187,24 @@ impl StatementExecutor {
}
);
// Check if is creating logical table
if create_table.engine == METRIC_ENGINE_NAME
&& create_table
.table_options
.contains_key(LOGICAL_TABLE_METADATA_KEY)
{
// Create logical tables
ensure!(
partitions.is_none(),
InvalidPartitionRuleSnafu {
reason: "logical table in metric engine should not have partition rule, it will be inherited from physical table",
}
);
self.create_logical_tables(std::slice::from_ref(create_table), query_ctx)
return self
.create_logical_tables(std::slice::from_ref(create_table), query_ctx)
.await?
.into_iter()
.next()
.context(error::UnexpectedSnafu {
violated: "expected to create logical tables",
})
} else {
// Create other normal table
self.create_non_logic_table(create_table, partitions, query_ctx)
.await
violated: "expected to create a logical table",
});
}
}
#[tracing::instrument(skip_all)]
pub async fn create_non_logic_table(
&self,
create_table: &mut CreateTableExpr,
partitions: Option<Partitions>,
query_ctx: QueryContextRef,
) -> Result<TableRef> {
let _timer = crate::metrics::DIST_CREATE_TABLE.start_timer();
// Check if schema exists
let schema = self
.table_metadata_manager
.schema_manager()
@@ -232,6 +214,7 @@ impl StatementExecutor {
))
.await
.context(TableMetadataManagerSnafu)?;
ensure!(
schema.is_some(),
SchemaNotFoundSnafu {

View File

@@ -569,7 +569,6 @@ pub enum Error {
#[snafu(implicit)]
location: Location,
},
#[snafu(display("Convert SQL value error"))]
ConvertSqlValue {
source: datatypes::error::Error,

View File

@@ -391,16 +391,13 @@ fn parse_string_options(parser: &mut Parser) -> std::result::Result<(String, Str
parser.expect_token(&Token::Eq)?;
let value = if parser.parse_keyword(Keyword::NULL) {
"".to_string()
} else if let Ok(v) = parser.parse_literal_string() {
v
} else {
let next_token = parser.peek_token();
if let Token::Number(number_as_string, _) = next_token.token {
parser.advance_token();
number_as_string
} else {
parser.parse_literal_string().map_err(|_|{
ParserError::ParserError(format!("Unexpected option value for alter table statements, expect string literal, numeric literal or NULL, got: `{}`", next_token))
})?
}
return Err(ParserError::ParserError(format!(
"Unexpected option value for alter table statements, expect string literal or NULL, got: `{}`",
parser.next_token()
)));
};
Ok((name, value))
}
@@ -1091,38 +1088,4 @@ mod tests {
)
.unwrap_err();
}
#[test]
fn test_parse_alter_with_numeric_value() {
for sql in [
"ALTER TABLE test SET 'compaction.twcs.trigger_file_num'=8;",
"ALTER TABLE test SET 'compaction.twcs.trigger_file_num'='8';",
] {
let mut result = ParserContext::create_with_dialect(
sql,
&GreptimeDbDialect {},
ParseOptions::default(),
)
.unwrap();
assert_eq!(1, result.len());
let statement = result.remove(0);
assert_matches!(statement, Statement::AlterTable { .. });
match statement {
Statement::AlterTable(alter_table) => {
let alter_operation = alter_table.alter_operation();
assert_matches!(alter_operation, AlterTableOperation::SetTableOptions { .. });
match alter_operation {
AlterTableOperation::SetTableOptions { options } => {
assert_eq!(options.len(), 1);
assert_eq!(options[0].key, "compaction.twcs.trigger_file_num");
assert_eq!(options[0].value, "8");
}
_ => unreachable!(),
}
}
_ => unreachable!(),
}
}
}
}

View File

@@ -211,12 +211,6 @@ impl ColumnExtensions {
}
}
/// Partition on columns or values.
///
/// - `column_list` is the list of columns in `PARTITION ON COLUMNS` clause.
/// - `exprs` is the list of expressions in `PARTITION ON VALUES` clause, like
/// `host <= 'host1'`, `host > 'host1' and host <= 'host2'` or `host > 'host2'`.
/// Each expression stands for a partition.
#[derive(Debug, PartialEq, Eq, Clone, Visit, VisitMut, Serialize)]
pub struct Partitions {
pub column_list: Vec<Ident>,

View File

@@ -1,21 +1,15 @@
CREATE TABLE demo(host string, cpu double, memory double, jsons JSON, ts TIMESTAMP time index);
CREATE TABLE demo(host string, cpu double, memory double, ts TIMESTAMP time index);
Affected Rows: 0
insert into
demo(host, cpu, memory, jsons, ts)
values
('host1', 66.6, 1024, '{"foo":"bar"}', 1655276557000),
('host2', 88.8, 333.3, '{"a":null,"foo":"bar"}', 1655276558000);
Affected Rows: 2
insert into
demo(host, cpu, memory, ts)
values
('host1', 66.6, 1024, 1655276557000),
('host2', 88.8, 333.3, 1655276558000),
('host3', 99.9, 444.4, 1722077263000);
Affected Rows: 1
Affected Rows: 3
Copy demo TO '${SQLNESS_HOME}/demo/export/csv/demo.csv' with (format='csv');
@@ -38,44 +32,6 @@ select * from with_filename order by ts;
| host2 | 88.8 | 333.3 | 2022-06-15T07:02:38 |
+-------+------+--------+---------------------+
CREATE TABLE with_json(host string, cpu double, memory double, jsons JSON, ts timestamp time index);
Affected Rows: 0
Copy with_json FROM '${SQLNESS_HOME}/demo/export/json/demo.json' with (format='json');
Affected Rows: 3
select host, cpu, memory, json_to_string(jsons), ts from with_json order by ts;
+-------+------+--------+---------------------------------+---------------------+
| host | cpu | memory | json_to_string(with_json.jsons) | ts |
+-------+------+--------+---------------------------------+---------------------+
| host1 | 66.6 | 1024.0 | {"foo":"bar"} | 2022-06-15T07:02:37 |
| host2 | 88.8 | 333.3 | {"a":null,"foo":"bar"} | 2022-06-15T07:02:38 |
| host3 | 99.9 | 444.4 | | 2024-07-27T10:47:43 |
+-------+------+--------+---------------------------------+---------------------+
-- SQLNESS PROTOCOL MYSQL
select host, cpu, memory, jsons, ts from demo where host != 'host3';
+-------+------+--------+------------------------+---------------------+
| host | cpu | memory | jsons | ts |
+-------+------+--------+------------------------+---------------------+
| host1 | 66.6 | 1024 | {"foo":"bar"} | 2022-06-15 07:02:37 |
| host2 | 88.8 | 333.3 | {"a":null,"foo":"bar"} | 2022-06-15 07:02:38 |
+-------+------+--------+------------------------+---------------------+
-- SQLNESS PROTOCOL POSTGRES
select host, cpu, memory, jsons, ts from demo where host != 'host3';
+-------+------+--------+------------------------+----------------------------+
| host | cpu | memory | jsons | ts |
+-------+------+--------+------------------------+----------------------------+
| host1 | 66.6 | 1024 | {"foo":"bar"} | 2022-06-15 07:02:37.000000 |
| host2 | 88.8 | 333.3 | {"a":null,"foo":"bar"} | 2022-06-15 07:02:38.000000 |
+-------+------+--------+------------------------+----------------------------+
CREATE TABLE with_path(host string, cpu double, memory double, ts timestamp time index);
Affected Rows: 0
@@ -154,10 +110,6 @@ drop table with_filename;
Affected Rows: 0
drop table with_json;
Affected Rows: 0
drop table with_path;
Affected Rows: 0

View File

@@ -1,14 +1,10 @@
CREATE TABLE demo(host string, cpu double, memory double, jsons JSON, ts TIMESTAMP time index);
insert into
demo(host, cpu, memory, jsons, ts)
values
('host1', 66.6, 1024, '{"foo":"bar"}', 1655276557000),
('host2', 88.8, 333.3, '{"a":null,"foo":"bar"}', 1655276558000);
CREATE TABLE demo(host string, cpu double, memory double, ts TIMESTAMP time index);
insert into
demo(host, cpu, memory, ts)
values
('host1', 66.6, 1024, 1655276557000),
('host2', 88.8, 333.3, 1655276558000),
('host3', 99.9, 444.4, 1722077263000);
Copy demo TO '${SQLNESS_HOME}/demo/export/csv/demo.csv' with (format='csv');
@@ -19,18 +15,6 @@ Copy with_filename FROM '${SQLNESS_HOME}/demo/export/csv/demo.csv' with (format=
select * from with_filename order by ts;
CREATE TABLE with_json(host string, cpu double, memory double, jsons JSON, ts timestamp time index);
Copy with_json FROM '${SQLNESS_HOME}/demo/export/json/demo.json' with (format='json');
select host, cpu, memory, json_to_string(jsons), ts from with_json order by ts;
-- SQLNESS PROTOCOL MYSQL
select host, cpu, memory, jsons, ts from demo where host != 'host3';
-- SQLNESS PROTOCOL POSTGRES
select host, cpu, memory, jsons, ts from demo where host != 'host3';
CREATE TABLE with_path(host string, cpu double, memory double, ts timestamp time index);
Copy with_path FROM '${SQLNESS_HOME}/demo/export/csv/' with (format='csv', start_time='2023-06-15 07:02:37');
@@ -59,8 +43,6 @@ drop table demo;
drop table with_filename;
drop table with_json;
drop table with_path;
drop table with_pattern;

View File

@@ -1,21 +1,15 @@
CREATE TABLE demo(host string, cpu double, memory double, jsons JSON, ts TIMESTAMP time index);
CREATE TABLE demo(host string, cpu double, memory double, ts TIMESTAMP time index);
Affected Rows: 0
insert into
demo(host, cpu, memory, jsons, ts)
demo(host, cpu, memory, ts)
values
('host1', 66.6, 1024, '{"foo":"bar"}', 1655276557000),
('host2', 88.8, 333.3, '{"a":null,"foo":"bar"}', 1655276558000);
Affected Rows: 2
insert into
demo(host, cpu, memory, ts)
values
('host1', 66.6, 1024, 1655276557000),
('host2', 88.8, 333.3, 1655276558000),
('host3', 99.9, 444.4, 1722077263000);
Affected Rows: 1
Affected Rows: 3
Copy demo TO '${SQLNESS_HOME}/demo/export/json/demo.json' with (format='json');
@@ -38,44 +32,6 @@ select * from with_filename order by ts;
| host2 | 88.8 | 333.3 | 2022-06-15T07:02:38 |
+-------+------+--------+---------------------+
CREATE TABLE with_json(host string, cpu double, memory double, jsons JSON, ts timestamp time index);
Affected Rows: 0
Copy with_json FROM '${SQLNESS_HOME}/demo/export/json/demo.json' with (format='json');
Affected Rows: 3
select host, cpu, memory, json_to_string(jsons), ts from with_json order by ts;
+-------+------+--------+---------------------------------+---------------------+
| host | cpu | memory | json_to_string(with_json.jsons) | ts |
+-------+------+--------+---------------------------------+---------------------+
| host1 | 66.6 | 1024.0 | {"foo":"bar"} | 2022-06-15T07:02:37 |
| host2 | 88.8 | 333.3 | {"a":null,"foo":"bar"} | 2022-06-15T07:02:38 |
| host3 | 99.9 | 444.4 | | 2024-07-27T10:47:43 |
+-------+------+--------+---------------------------------+---------------------+
-- SQLNESS PROTOCOL MYSQL
select host, cpu, memory, jsons, ts from demo where host != 'host3';
+-------+------+--------+------------------------+---------------------+
| host | cpu | memory | jsons | ts |
+-------+------+--------+------------------------+---------------------+
| host1 | 66.6 | 1024 | {"foo":"bar"} | 2022-06-15 07:02:37 |
| host2 | 88.8 | 333.3 | {"a":null,"foo":"bar"} | 2022-06-15 07:02:38 |
+-------+------+--------+------------------------+---------------------+
-- SQLNESS PROTOCOL POSTGRES
select host, cpu, memory, jsons, ts from demo where host != 'host3';
+-------+------+--------+------------------------+----------------------------+
| host | cpu | memory | jsons | ts |
+-------+------+--------+------------------------+----------------------------+
| host1 | 66.6 | 1024 | {"foo":"bar"} | 2022-06-15 07:02:37.000000 |
| host2 | 88.8 | 333.3 | {"a":null,"foo":"bar"} | 2022-06-15 07:02:38.000000 |
+-------+------+--------+------------------------+----------------------------+
CREATE TABLE with_path(host string, cpu double, memory double, ts timestamp time index);
Affected Rows: 0
@@ -154,10 +110,6 @@ drop table with_filename;
Affected Rows: 0
drop table with_json;
Affected Rows: 0
drop table with_path;
Affected Rows: 0

View File

@@ -1,14 +1,10 @@
CREATE TABLE demo(host string, cpu double, memory double, jsons JSON, ts TIMESTAMP time index);
CREATE TABLE demo(host string, cpu double, memory double, ts TIMESTAMP time index);
insert into
demo(host, cpu, memory, jsons, ts)
demo(host, cpu, memory, ts)
values
('host1', 66.6, 1024, '{"foo":"bar"}', 1655276557000),
('host2', 88.8, 333.3, '{"a":null,"foo":"bar"}', 1655276558000);
insert into
demo(host, cpu, memory, ts)
values
('host1', 66.6, 1024, 1655276557000),
('host2', 88.8, 333.3, 1655276558000),
('host3', 99.9, 444.4, 1722077263000);
Copy demo TO '${SQLNESS_HOME}/demo/export/json/demo.json' with (format='json');
@@ -19,18 +15,6 @@ Copy with_filename FROM '${SQLNESS_HOME}/demo/export/json/demo.json' with (forma
select * from with_filename order by ts;
CREATE TABLE with_json(host string, cpu double, memory double, jsons JSON, ts timestamp time index);
Copy with_json FROM '${SQLNESS_HOME}/demo/export/json/demo.json' with (format='json');
select host, cpu, memory, json_to_string(jsons), ts from with_json order by ts;
-- SQLNESS PROTOCOL MYSQL
select host, cpu, memory, jsons, ts from demo where host != 'host3';
-- SQLNESS PROTOCOL POSTGRES
select host, cpu, memory, jsons, ts from demo where host != 'host3';
CREATE TABLE with_path(host string, cpu double, memory double, ts timestamp time index);
Copy with_path FROM '${SQLNESS_HOME}/demo/export/json/' with (format='json', start_time='2022-06-15 07:02:37', end_time='2022-06-15 07:02:39');
@@ -59,8 +43,6 @@ drop table demo;
drop table with_filename;
drop table with_json;
drop table with_path;
drop table with_pattern;

View File

@@ -1,4 +1,4 @@
CREATE TABLE demo(host string, cpu double, memory double, jsons JSON, ts TIMESTAMP time index);
CREATE TABLE demo(host string, cpu double, memory double, ts TIMESTAMP time index);
Affected Rows: 0
@@ -6,20 +6,14 @@ CREATE TABLE demo_2(host string, cpu double, memory double, ts TIMESTAMP time in
Affected Rows: 0
insert into
demo(host, cpu, memory, jsons, ts)
values
('host1', 66.6, 1024, '{"foo":"bar"}', 1655276557000),
('host2', 88.8, 333.3, '{"a":null,"foo":"bar"}', 1655276558000);
Affected Rows: 2
insert into
demo(host, cpu, memory, ts)
values
('host1', 66.6, 1024, 1655276557000),
('host2', 88.8, 333.3, 1655276558000),
('host3', 111.1, 444.4, 1722077263000);
Affected Rows: 1
Affected Rows: 3
insert into
demo_2(host, cpu, memory, ts)
@@ -76,44 +70,6 @@ select * from with_path order by ts;
| host6 | 222.2 | 555.5 | 2024-07-27T10:47:44 |
+-------+-------+--------+---------------------+
CREATE TABLE with_json(host string, cpu double, memory double, jsons JSON, ts timestamp time index);
Affected Rows: 0
Copy with_json FROM '${SQLNESS_HOME}/demo/export/parquet_files/demo.parquet';
Affected Rows: 3
select host, cpu, memory, json_to_string(jsons), ts from with_json order by ts;
+-------+-------+--------+---------------------------------+---------------------+
| host | cpu | memory | json_to_string(with_json.jsons) | ts |
+-------+-------+--------+---------------------------------+---------------------+
| host1 | 66.6 | 1024.0 | {"foo":"bar"} | 2022-06-15T07:02:37 |
| host2 | 88.8 | 333.3 | {"a":null,"foo":"bar"} | 2022-06-15T07:02:38 |
| host3 | 111.1 | 444.4 | | 2024-07-27T10:47:43 |
+-------+-------+--------+---------------------------------+---------------------+
-- SQLNESS PROTOCOL MYSQL
select host, cpu, memory, jsons, ts from demo where host != 'host3';
+-------+------+--------+------------------------+---------------------+
| host | cpu | memory | jsons | ts |
+-------+------+--------+------------------------+---------------------+
| host1 | 66.6 | 1024 | {"foo":"bar"} | 2022-06-15 07:02:37 |
| host2 | 88.8 | 333.3 | {"a":null,"foo":"bar"} | 2022-06-15 07:02:38 |
+-------+------+--------+------------------------+---------------------+
-- SQLNESS PROTOCOL POSTGRES
select host, cpu, memory, jsons, ts from demo where host != 'host3';
+-------+------+--------+------------------------+----------------------------+
| host | cpu | memory | jsons | ts |
+-------+------+--------+------------------------+----------------------------+
| host1 | 66.6 | 1024 | {"foo":"bar"} | 2022-06-15 07:02:37.000000 |
| host2 | 88.8 | 333.3 | {"a":null,"foo":"bar"} | 2022-06-15 07:02:38.000000 |
+-------+------+--------+------------------------+----------------------------+
CREATE TABLE with_pattern(host string, cpu double, memory double, ts timestamp time index);
Affected Rows: 0
@@ -215,10 +171,6 @@ drop table with_filename;
Affected Rows: 0
drop table with_json;
Affected Rows: 0
drop table with_path;
Affected Rows: 0

View File

@@ -1,16 +1,12 @@
CREATE TABLE demo(host string, cpu double, memory double, jsons JSON, ts TIMESTAMP time index);
CREATE TABLE demo(host string, cpu double, memory double, ts TIMESTAMP time index);
CREATE TABLE demo_2(host string, cpu double, memory double, ts TIMESTAMP time index);
insert into
demo(host, cpu, memory, jsons, ts)
values
('host1', 66.6, 1024, '{"foo":"bar"}', 1655276557000),
('host2', 88.8, 333.3, '{"a":null,"foo":"bar"}', 1655276558000);
insert into
demo(host, cpu, memory, ts)
values
('host1', 66.6, 1024, 1655276557000),
('host2', 88.8, 333.3, 1655276558000),
('host3', 111.1, 444.4, 1722077263000);
insert into
@@ -36,18 +32,6 @@ Copy with_path FROM '${SQLNESS_HOME}/demo/export/parquet_files/';
select * from with_path order by ts;
CREATE TABLE with_json(host string, cpu double, memory double, jsons JSON, ts timestamp time index);
Copy with_json FROM '${SQLNESS_HOME}/demo/export/parquet_files/demo.parquet';
select host, cpu, memory, json_to_string(jsons), ts from with_json order by ts;
-- SQLNESS PROTOCOL MYSQL
select host, cpu, memory, jsons, ts from demo where host != 'host3';
-- SQLNESS PROTOCOL POSTGRES
select host, cpu, memory, jsons, ts from demo where host != 'host3';
CREATE TABLE with_pattern(host string, cpu double, memory double, ts timestamp time index);
Copy with_pattern FROM '${SQLNESS_HOME}/demo/export/parquet_files/' WITH (PATTERN = 'demo.*', start_time='2022-06-15 07:02:39');
@@ -86,8 +70,6 @@ drop table demo_2;
drop table with_filename;
drop table with_json;
drop table with_path;
drop table with_pattern;

View File

@@ -1,15 +1,11 @@
CREATE TABLE demo(host string, cpu DOUBLE, memory DOUBLE, jsons JSON, ts TIMESTAMP TIME INDEX);
CREATE TABLE demo(host string, cpu DOUBLE, memory DOUBLE, ts TIMESTAMP TIME INDEX);
Affected Rows: 0
insert into demo(host, cpu, memory, jsons, ts) values ('host1', 66.6, 1024, '{"foo":"bar"}', 1655276557000), ('host2', 88.8, 333.3, '{"a":null,"foo":"bar"}', 1655276558000);
insert into demo(host, cpu, memory, ts) values ('host1', 66.6, 1024, 1655276557000), ('host2', 88.8, 333.3, 1655276558000);
Affected Rows: 2
insert into demo(host, cpu, memory, ts) values ('host3', 111.1, 444.4, 1722077263000);
Affected Rows: 1
COPY demo TO '${SQLNESS_HOME}/export/demo.parquet' WITH (start_time='2022-06-15 07:02:37', end_time='2022-06-15 07:02:38');
Affected Rows: 1
@@ -22,15 +18,15 @@ COPY demo TO '${SQLNESS_HOME}/export/demo.json' WITH (format='json', start_time=
Affected Rows: 1
COPY (select host, cpu, jsons, ts from demo where host = 'host2') TO '${SQLNESS_HOME}/export/demo.parquet';
COPY (select host, cpu, ts from demo where host = 'host2') TO '${SQLNESS_HOME}/export/demo.parquet';
Affected Rows: 1
COPY (select host, cpu, jsons, ts from demo where host = 'host2') TO '${SQLNESS_HOME}/export/demo.csv' WITH (format='csv');
COPY (select host, cpu, ts from demo where host = 'host2') TO '${SQLNESS_HOME}/export/demo.csv' WITH (format='csv');
Affected Rows: 1
COPY (select host, cpu, jsons, ts from demo where host = 'host2') TO '${SQLNESS_HOME}/export/demo.json' WITH (format='json');
COPY (select host, cpu, ts from demo where host = 'host2') TO '${SQLNESS_HOME}/export/demo.json' WITH (format='json');
Affected Rows: 1

View File

@@ -1,8 +1,6 @@
CREATE TABLE demo(host string, cpu DOUBLE, memory DOUBLE, jsons JSON, ts TIMESTAMP TIME INDEX);
CREATE TABLE demo(host string, cpu DOUBLE, memory DOUBLE, ts TIMESTAMP TIME INDEX);
insert into demo(host, cpu, memory, jsons, ts) values ('host1', 66.6, 1024, '{"foo":"bar"}', 1655276557000), ('host2', 88.8, 333.3, '{"a":null,"foo":"bar"}', 1655276558000);
insert into demo(host, cpu, memory, ts) values ('host3', 111.1, 444.4, 1722077263000);
insert into demo(host, cpu, memory, ts) values ('host1', 66.6, 1024, 1655276557000), ('host2', 88.8, 333.3, 1655276558000);
COPY demo TO '${SQLNESS_HOME}/export/demo.parquet' WITH (start_time='2022-06-15 07:02:37', end_time='2022-06-15 07:02:38');
@@ -10,10 +8,10 @@ COPY demo TO '${SQLNESS_HOME}/export/demo.csv' WITH (format='csv', start_time='2
COPY demo TO '${SQLNESS_HOME}/export/demo.json' WITH (format='json', start_time='2022-06-15 07:02:37', end_time='2022-06-15 07:02:38');
COPY (select host, cpu, jsons, ts from demo where host = 'host2') TO '${SQLNESS_HOME}/export/demo.parquet';
COPY (select host, cpu, ts from demo where host = 'host2') TO '${SQLNESS_HOME}/export/demo.parquet';
COPY (select host, cpu, jsons, ts from demo where host = 'host2') TO '${SQLNESS_HOME}/export/demo.csv' WITH (format='csv');
COPY (select host, cpu, ts from demo where host = 'host2') TO '${SQLNESS_HOME}/export/demo.csv' WITH (format='csv');
COPY (select host, cpu, jsons, ts from demo where host = 'host2') TO '${SQLNESS_HOME}/export/demo.json' WITH (format='json');
COPY (select host, cpu, ts from demo where host = 'host2') TO '${SQLNESS_HOME}/export/demo.json' WITH (format='json');
drop table demo;

View File

@@ -1,81 +0,0 @@
create table metric_engine_partition (
ts timestamp time index,
host string primary key,
cpu double,
)
partition on columns (host) (
host <= 'host1',
host > 'host1' and host <= 'host2',
host > 'host2'
)
engine = metric
with (
physical_metric_table = "true",
);
Affected Rows: 0
select count(*) from metric_engine_partition;
+----------+
| count(*) |
+----------+
| 0 |
+----------+
create table logical_table_1 (
ts timestamp time index,
host string primary key,
cpu double,
)
partition on columns (host) ()
engine = metric
with (
on_physical_table = "metric_engine_partition",
);
Error: 1004(InvalidArguments), Invalid partition rule: logical table in metric engine should not have partition rule, it will be inherited from physical table
create table logical_table_2 (
ts timestamp time index,
host string primary key,
cpu double,
)
engine = metric
with (
on_physical_table = "metric_engine_partition",
);
Affected Rows: 0
show create table logical_table_2;
+-----------------+-------------------------------------------------+
| Table | Create Table |
+-----------------+-------------------------------------------------+
| logical_table_2 | CREATE TABLE IF NOT EXISTS "logical_table_2" ( |
| | "cpu" DOUBLE NULL, |
| | "host" STRING NULL, |
| | "ts" TIMESTAMP(3) NOT NULL, |
| | TIME INDEX ("ts"), |
| | PRIMARY KEY ("host") |
| | ) |
| | PARTITION ON COLUMNS ("host") ( |
| | host <= 'host1', |
| | host > 'host2', |
| | host > 'host1' AND host <= 'host2' |
| | ) |
| | ENGINE=metric |
| | WITH( |
| | on_physical_table = 'metric_engine_partition' |
| | ) |
+-----------------+-------------------------------------------------+
drop table logical_table_2;
Affected Rows: 0
drop table metric_engine_partition;
Affected Rows: 0

View File

@@ -1,43 +0,0 @@
create table metric_engine_partition (
ts timestamp time index,
host string primary key,
cpu double,
)
partition on columns (host) (
host <= 'host1',
host > 'host1' and host <= 'host2',
host > 'host2'
)
engine = metric
with (
physical_metric_table = "true",
);
select count(*) from metric_engine_partition;
create table logical_table_1 (
ts timestamp time index,
host string primary key,
cpu double,
)
partition on columns (host) ()
engine = metric
with (
on_physical_table = "metric_engine_partition",
);
create table logical_table_2 (
ts timestamp time index,
host string primary key,
cpu double,
)
engine = metric
with (
on_physical_table = "metric_engine_partition",
);
show create table logical_table_2;
drop table logical_table_2;
drop table metric_engine_partition;