metric_engine/

data_region.rs

// 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 api::v1::SemanticType;
use common_query::native_histogram::is_native_histogram_value_type;
use common_telemetry::{debug, info};
use datatypes::schema::{SkippingIndexOptions, SkippingIndexType};
use mito2::engine::MitoEngine;
use snafu::ResultExt;
use store_api::metadata::ColumnMetadata;
use store_api::region_engine::RegionEngine;
use store_api::region_request::{
    AddColumn, AffectedRows, AlterKind, RegionAlterRequest, RegionRequest,
};
use store_api::storage::consts::ReservedColumnId;
use store_api::storage::{ConcreteDataType, RegionId};

use crate::engine::IndexOptions;
use crate::error::{
    AddingFieldColumnSnafu, ColumnTypeMismatchSnafu, ForbiddenPhysicalAlterSnafu,
    MitoReadOperationSnafu, MitoWriteOperationSnafu, Result, SetSkippingIndexOptionSnafu,
};
use crate::metrics::{FORBIDDEN_OPERATION_COUNT, MITO_DDL_DURATION, PHYSICAL_COLUMN_COUNT};
use crate::utils;

/// This is a generic handler like [MetricEngine](crate::engine::MetricEngine). It
/// will handle all the data related operations across physical tables. Thus
/// every operation should be associated to a [RegionId], which is the physical
/// table id + region sequence. This handler will transform the region group by
/// itself.
pub struct DataRegion {
    mito: MitoEngine,
}

impl DataRegion {
    pub fn new(mito: MitoEngine) -> Self {
        Self { mito }
    }

    /// Submit an alter request to underlying physical region.
    ///
    /// This method will change the nullability of those given columns.
    /// [SemanticType::Tag] will become nullable column as it's shared between
    /// logical regions.
    ///
    /// Invoker don't need to set up or verify the column id. This method will adjust
    /// it using underlying schema.
    ///
    /// This method will also set the nullable marker to true. All of those change are applies
    /// to `columns` in-place.
    pub async fn add_columns(
        &self,
        region_id: RegionId,
        columns: Vec<ColumnMetadata>,
        index_options: IndexOptions,
    ) -> Result<()> {
        // Return early if no new columns are added.
        if columns.is_empty() {
            return Ok(());
        }

        let region_id = utils::to_data_region_id(region_id);

        let num_columns = columns.len();
        let request = self
            .assemble_alter_request(region_id, columns, index_options)
            .await?;

        let _timer = MITO_DDL_DURATION.start_timer();

        let _ = self
            .mito
            .handle_request(region_id, request)
            .await
            .context(MitoWriteOperationSnafu)?;

        PHYSICAL_COLUMN_COUNT.add(num_columns as _);

        Ok(())
    }

    /// Generate wrapped [RegionAlterRequest] with given [ColumnMetadata].
    /// This method will modify `columns` in-place.
    async fn assemble_alter_request(
        &self,
        region_id: RegionId,
        columns: Vec<ColumnMetadata>,
        index_options: IndexOptions,
    ) -> Result<RegionRequest> {
        // retrieve underlying version
        let region_metadata = self
            .mito
            .get_metadata(region_id)
            .await
            .context(MitoReadOperationSnafu)?;

        // find the max column id
        let new_column_id_start = 1 + region_metadata
            .column_metadatas
            .iter()
            .filter_map(|c| {
                if ReservedColumnId::is_reserved(c.column_id) {
                    None
                } else {
                    Some(c.column_id)
                }
            })
            .max()
            .unwrap_or(0);

        // overwrite semantic type
        let new_columns = columns
            .into_iter()
            .enumerate()
            .map(|(delta, mut c)| {
                match c.semantic_type {
                    SemanticType::Tag => {
                        if !c.column_schema.data_type.is_string() {
                            return ColumnTypeMismatchSnafu {
                                expect: ConcreteDataType::string_datatype(),
                                actual: c.column_schema.data_type.clone(),
                            }
                            .fail();
                        }
                    }
                    // Field columns can only be added to the shared physical
                    // table for native histograms; ordinary metric fields are
                    // created with the logical table.
                    SemanticType::Field
                        if is_native_histogram_value_type(&c.column_schema.data_type) => {}
                    _ => {
                        return AddingFieldColumnSnafu {
                            name: &c.column_schema.name,
                        }
                        .fail();
                    }
                }

                c.column_id = new_column_id_start + delta as u32;
                c.column_schema.set_nullable();
                if c.semantic_type == SemanticType::Tag {
                    match index_options {
                        IndexOptions::None => {}
                        IndexOptions::Inverted => {
                            c.column_schema.set_inverted_index(true);
                        }
                        IndexOptions::Skipping {
                            granularity,
                            false_positive_rate,
                        } => {
                            c.column_schema
                                .set_skipping_options(
                                    &SkippingIndexOptions::new(
                                        granularity,
                                        false_positive_rate,
                                        SkippingIndexType::BloomFilter,
                                    )
                                    .context(SetSkippingIndexOptionSnafu)?,
                                )
                                .context(SetSkippingIndexOptionSnafu)?;
                        }
                    }
                }

                Ok(AddColumn {
                    column_metadata: c.clone(),
                    location: None,
                })
            })
            .collect::<Result<_>>()?;

        debug!("Adding (Column id assigned) columns {new_columns:?} to region {region_id:?}");
        // assemble alter request
        let alter_request = RegionRequest::Alter(RegionAlterRequest {
            kind: AlterKind::AddColumns {
                columns: new_columns,
            },
        });

        Ok(alter_request)
    }

    pub async fn write_data(
        &self,
        region_id: RegionId,
        request: RegionRequest,
    ) -> Result<AffectedRows> {
        let region_id = utils::to_data_region_id(region_id);
        self.mito
            .handle_request(region_id, request)
            .await
            .context(MitoWriteOperationSnafu)
            .map(|result| result.affected_rows)
    }

    pub async fn physical_columns(
        &self,
        physical_region_id: RegionId,
    ) -> Result<Vec<ColumnMetadata>> {
        let data_region_id = utils::to_data_region_id(physical_region_id);
        let metadata = self
            .mito
            .get_metadata(data_region_id)
            .await
            .context(MitoReadOperationSnafu)?;
        Ok(metadata.column_metadatas.clone())
    }

    pub async fn alter_region_options(
        &self,
        region_id: RegionId,
        request: RegionAlterRequest,
    ) -> Result<AffectedRows> {
        match request.kind {
            AlterKind::SetRegionOptions { options: _ }
            | AlterKind::UnsetRegionOptions { keys: _ }
            | AlterKind::SetIndexes { options: _ }
            | AlterKind::UnsetIndexes { options: _ }
            | AlterKind::SetJsonSettings { .. }
            | AlterKind::SyncColumns {
                column_metadatas: _,
            } => {
                let region_id = utils::to_data_region_id(region_id);
                self.mito
                    .handle_request(region_id, RegionRequest::Alter(request))
                    .await
                    .context(MitoWriteOperationSnafu)
                    .map(|result| result.affected_rows)
            }
            _ => {
                info!(
                    "Metric region received alter request {request:?} on physical region {region_id:?}"
                );
                FORBIDDEN_OPERATION_COUNT.inc();

                ForbiddenPhysicalAlterSnafu.fail()
            }
        }
    }
}

#[cfg(test)]
mod test {
    use common_query::prelude::{greptime_timestamp, greptime_value};
    use datatypes::prelude::ConcreteDataType;
    use datatypes::schema::ColumnSchema;

    use super::*;
    use crate::test_util::TestEnv;

    #[tokio::test]
    async fn test_add_columns() {
        let env = TestEnv::new().await;
        env.init_metric_region().await;

        let current_version = env
            .mito()
            .get_metadata(utils::to_data_region_id(env.default_physical_region_id()))
            .await
            .unwrap()
            .schema_version;
        // TestEnv will create a logical region which changes the version to 1.
        assert_eq!(current_version, 1);

        let new_columns = vec![
            ColumnMetadata {
                column_id: 0,
                semantic_type: SemanticType::Tag,
                column_schema: ColumnSchema::new(
                    "tag2",
                    ConcreteDataType::string_datatype(),
                    false,
                ),
            },
            ColumnMetadata {
                column_id: 0,
                semantic_type: SemanticType::Tag,
                column_schema: ColumnSchema::new(
                    "tag3",
                    ConcreteDataType::string_datatype(),
                    false,
                ),
            },
        ];
        env.data_region()
            .add_columns(
                env.default_physical_region_id(),
                new_columns,
                IndexOptions::Inverted,
            )
            .await
            .unwrap();

        let new_metadata = env
            .mito()
            .get_metadata(utils::to_data_region_id(env.default_physical_region_id()))
            .await
            .unwrap();
        let column_names = new_metadata
            .column_metadatas
            .iter()
            .map(|c| &c.column_schema.name)
            .collect::<Vec<_>>();
        let expected = vec![
            greptime_timestamp(),
            greptime_value(),
            "__table_id",
            "__tsid",
            "job",
            "tag2",
            "tag3",
        ];
        assert_eq!(column_names, expected);
    }

    // Only string is allowed for tag column
    #[tokio::test]
    async fn test_add_invalid_column() {
        let env = TestEnv::new().await;
        env.init_metric_region().await;

        let new_columns = vec![ColumnMetadata {
            column_id: 0,
            semantic_type: SemanticType::Tag,
            column_schema: ColumnSchema::new("tag2", ConcreteDataType::int64_datatype(), false),
        }];
        let result = env
            .data_region()
            .add_columns(
                env.default_physical_region_id(),
                new_columns,
                IndexOptions::Inverted,
            )
            .await;
        assert!(result.is_err());
    }
}