You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: interpreter_table_drop_column.rs
    path of file: ./repos/databend/src/query/service/src/interpreters
    
    the code of the file until where you have to start completion: // Copyright 2021 Datafuse Labs
//
// 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 std::sync::Arc;

use databend_
    
    async fn execute2(&self) -> Result<PipelineBuildResult> {
        let catalog_name = self.plan.catalog.as_str();
        let db_name = self.plan.database.as_str();
        let tbl_name = self.plan.table.as_str();
        let table = self
            .ctx
            .get_catalog(catalog_name)
            .await?
            .get_table(self.ctx.get_tenant().as_str(), db_name, tbl_name)
            .await?;

        // check mutability
        table.check_mutable()?;

        let table_info = table.get_table_info();
        let engine = table_info.engine();
        if matches!(engine, VIEW_ENGINE | STREAM_ENGINE) {
            return Err(ErrorCode::TableEngineNotSupported(format!(
                "{}.{} engine is {} that doesn't support alter",
                &self.plan.database, &self.plan.table, engine
            )));
        }
        if table_info.db_type != DatabaseType::NormalDB {
            return Err(ErrorCode::TableEngineNotSupported(format!(
                "{}.{} doesn't support alter",
                &self.plan.database, &self.plan.table
            )));
        }

        let mut schema: DataSchema = table_info.schema().into();
        let field = schema.field_with_name(self.plan.column.as_str())?;
        if field.computed_expr().is_none() {
            schema.drop_column(self.plan.column.as_str())?;
            // Check if this column is referenced by computed columns.
            check_referenced_computed_columns(
                self.ctx.clone(),
                Arc::new(schema),
                self.plan.column.as_str(),
            )?;
        }

        let catalog = self.ctx.get_catalog(catalog_name).await?;
        let mut new_table_meta = table.get_table_info().meta.clone();
        new_table_meta.drop_column(&self.plan.column)?;

        // update table options
        let opts = &mut new_table_meta.options;
        if let Some(value) = opts.get_mut(OPT_KEY_BLOOM_INDEX_COLUMNS) {
            let bloom_index_cols = value.parse::<BloomIndexColumns>()?;
            if let BloomIndexColumns::Specify(mut cols) = bloom_index_cols {
                if let Some(pos) = cols.iter().position(|x| *x == self.plan.column) {
                    // remove from the bloom index columns.
                    cols.remove(pos);
                    *value = cols.join(",");
                }
            }
        }

        let table_id = table_info.ident.table_id;
        let table_version = table_info.ident.seq;

        generate_new_snapshot(table.as_ref(), &mut new_table_meta).await?;

        let req = UpdateTableMetaReq {
            table_id,
            seq: MatchSeq::Exact(table_version),
            new_table_meta,
            copied_files: None,
            deduplicated_label: None,
            update_stream_meta: vec![],
        };

        let res = catalog.update_table_meta(table_info, req).await?;
        if let Some(share_table_info) = res.share_table_info {
            save_share_table_info(
                self.ctx.get_tenant().as_str(),
                self.ctx.get_data_operator()?.operator(),
                share_table_info,
            )
            .await?;
        }

        Ok(PipelineBuildResult::create())
    }