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use sqlparser::parser::ParserError;
use std::cell::RefCell;
use std::path::PathBuf;
use crate::binder::{BindError, Binder, BinderContext};
use crate::execution::executor::{build, try_collect};
use crate::execution::ExecutorError;
use crate::optimizer::heuristic::batch::HepBatchStrategy;
use crate::optimizer::heuristic::optimizer::HepOptimizer;
use crate::optimizer::rule::RuleImpl;
use crate::optimizer::OptimizerError;
use crate::parser::parse_sql;
use crate::planner::LogicalPlan;
use crate::storage::kip::KipStorage;
use crate::storage::{Storage, StorageError, Transaction};
use crate::types::tuple::Tuple;
pub struct Database<S: Storage> {
pub storage: S,
}
impl Database<KipStorage> {
/// Create a new Database instance With KipDB.
pub async fn with_kipdb(path: impl Into<PathBuf> + Send) -> Result<Self, DatabaseError> {
let storage = KipStorage::new(path).await?;
Ok(Database { storage })
}
}
impl<S: Storage> Database<S> {
/// Create a new Database instance.
pub fn new(storage: S) -> Result<Self, DatabaseError> {
Ok(Database { storage })
}
/// Run SQL queries.
pub async fn run(&self, sql: &str) -> Result<Vec<Tuple>, DatabaseError> {
let transaction = self.storage.transaction().await?;
// parse
let stmts = parse_sql(sql)?;
if stmts.is_empty() {
return Ok(vec![]);
}
let binder = Binder::new(BinderContext::new(&transaction));
/// Build a logical plan.
///
/// SELECT a,b FROM t1 ORDER BY a LIMIT 1;
/// Scan(t1)
/// Sort(a)
/// Limit(1)
/// Project(a,b)
let source_plan = binder.bind(&stmts[0])?;
//println!("source_plan plan: {:#?}", source_plan);
let best_plan = Self::default_optimizer(source_plan).find_best()?;
//println!("best_plan plan: {:#?}", best_plan);
let transaction = RefCell::new(transaction);
let mut stream = build(best_plan, &transaction);
let tuples = try_collect(&mut stream).await?;
transaction.into_inner().commit().await?;
Ok(tuples)
}
fn default_optimizer(source_plan: LogicalPlan) -> HepOptimizer {
HepOptimizer::new(source_plan)
.batch(
"Column Pruning".to_string(),
HepBatchStrategy::once_topdown(),
vec![RuleImpl::ColumnPruning],
)
.batch(
"Simplify Filter".to_string(),
HepBatchStrategy::fix_point_topdown(10),
vec![
RuleImpl::LikeRewrite,
RuleImpl::SimplifyFilter,
RuleImpl::ConstantCalculation,
],
)
.batch(
"Predicate Pushown".to_string(),
HepBatchStrategy::fix_point_topdown(10),
vec![
RuleImpl::PushPredicateThroughJoin,
RuleImpl::PushPredicateIntoScan,
],
)
.batch(
"Combine Operators".to_string(),
HepBatchStrategy::fix_point_topdown(10),
vec![RuleImpl::CollapseProject, RuleImpl::CombineFilter],
)
.batch(
"Limit Pushdown".to_string(),
HepBatchStrategy::fix_point_topdown(10),
vec![
RuleImpl::LimitProjectTranspose,
RuleImpl::PushLimitThroughJoin,
RuleImpl::PushLimitIntoTableScan,
RuleImpl::EliminateLimits,
],
)
}
}
#[derive(thiserror::Error, Debug)]
pub enum DatabaseError {
#[error("parse error: {0}")]
Parse(
#[source]
#[from]
ParserError,
),
#[error("bind error: {0}")]
Bind(
#[source]
#[from]
BindError,
),
#[error("Storage error: {0}")]
StorageError(
#[source]
#[from]
StorageError,
),
#[error("executor error: {0}")]
ExecutorError(
#[source]
#[from]
ExecutorError,
),
#[error("Internal error: {0}")]
InternalError(String),
#[error("optimizer error: {0}")]
OptimizerError(
#[source]
#[from]
OptimizerError,
),
}
#[cfg(test)]
mod test {
use crate::catalog::{ColumnCatalog, ColumnDesc};
use crate::db::{Database, DatabaseError};
use crate::storage::{Storage, StorageError, Transaction};
use crate::types::tuple::create_table;
use crate::types::LogicalType;
use std::sync::Arc;
use tempfile::TempDir;
async fn build_table(mut transaction: impl Transaction) -> Result<(), StorageError> {
let columns = vec![
ColumnCatalog::new(
"c1".to_string(),
false,
ColumnDesc::new(LogicalType::Integer, true, false),
None,
),
ColumnCatalog::new(
"c2".to_string(),
false,
ColumnDesc::new(LogicalType::Boolean, false, false),
None,
),
];
let _ = transaction.create_table(Arc::new("t1".to_string()), columns)?;
transaction.commit().await?;
Ok(())
}
#[tokio::test]
async fn test_run_sql() -> Result<(), DatabaseError> {
let temp_dir = TempDir::new().expect("unable to create temporary working directory");
let database = Database::with_kipdb(temp_dir.path()).await?;
let transaction = database.storage.transaction().await?;
build_table(transaction).await?;
let batch = database.run("select * from t1").await?;
println!("{:#?}", batch);
Ok(())
}
#[tokio::test]
async fn test_crud_sql() -> Result<(), DatabaseError> {
let temp_dir = TempDir::new().expect("unable to create temporary working directory");
let kipsql = Database::with_kipdb(temp_dir.path()).await?;
let _ = kipsql.run("create table t1 (a int primary key, b int unique null, k int, z varchar unique null)").await?;
let _ = kipsql
.run("create table t2 (c int primary key, d int unsigned null, e datetime)")
.await?;
let _ = kipsql.run("insert into t1 (a, b, k, z) values (-99, 1, 1, 'k'), (-1, 2, 2, 'i'), (5, 3, 2, 'p'), (29, 4, 2, 'db')").await?;
let _ = kipsql.run("insert into t2 (d, c, e) values (2, 1, '2021-05-20 21:00:00'), (3, 4, '2023-09-10 00:00:00')").await?;
let _ = kipsql
.run("create table t3 (a int primary key, b decimal(4,2))")
.await?;
let _ = kipsql
.run("insert into t3 (a, b) values (1, 1111), (2, 2.01), (3, 3.00)")
.await?;
let _ = kipsql
.run("insert into t3 (a, b) values (4, 4444), (5, 5222), (6, 1.00)")
.await?;
let _ = kipsql
.run("create table t4 (a int primary key, b varchar(100))")
.await?;
let _ = kipsql
.run("insert into t4 (a, b) values (1, 'abc'), (2, 'abdc'), (3, 'abcd'), (4, 'ddabc')")
.await?;
println!("show tables:");
let tuples_show_tables = kipsql.run("show tables").await?;
println!("{}", create_table(&tuples_show_tables));
println!("full t1:");
let tuples_full_fields_t1 = kipsql.run("select * from t1").await?;
println!("{}", create_table(&tuples_full_fields_t1));
println!("full t2:");
let tuples_full_fields_t2 = kipsql.run("select * from t2").await?;
println!("{}", create_table(&tuples_full_fields_t2));
println!("projection_and_filter:");
let tuples_projection_and_filter = kipsql.run("select a from t1 where b > 1").await?;
println!("{}", create_table(&tuples_projection_and_filter));
println!("projection_and_sort:");
let tuples_projection_and_sort = kipsql.run("select * from t1 order by a, b").await?;
println!("{}", create_table(&tuples_projection_and_sort));
println!("like t1 1:");
let tuples_like_1_t1 = kipsql.run("select * from t1 where z like '%k'").await?;
println!("{}", create_table(&tuples_like_1_t1));
println!("like t1 2:");
let tuples_like_2_t1 = kipsql.run("select * from t1 where z like '_b'").await?;
println!("{}", create_table(&tuples_like_2_t1));
println!("not like t1:");
let tuples_not_like_t1 = kipsql.run("select * from t1 where z not like '_b'").await?;
println!("{}", create_table(&tuples_not_like_t1));
println!("in t1:");
let tuples_in_t1 = kipsql.run("select * from t1 where a in (5, 29)").await?;
println!("{}", create_table(&tuples_in_t1));
println!("not in t1:");
let tuples_not_in_t1 = kipsql
.run("select * from t1 where a not in (5, 29)")
.await?;
println!("{}", create_table(&tuples_not_in_t1));
println!("limit:");
let tuples_limit = kipsql.run("select * from t1 limit 1 offset 1").await?;
println!("{}", create_table(&tuples_limit));
println!("inner join:");
let tuples_inner_join = kipsql
.run("select * from t1 inner join t2 on a = c")
.await?;
println!("{}", create_table(&tuples_inner_join));
println!("left join:");
let tuples_left_join = kipsql.run("select * from t1 left join t2 on a = c").await?;
println!("{}", create_table(&tuples_left_join));
println!("right join:");
let tuples_right_join = kipsql
.run("select * from t1 right join t2 on a = c")
.await?;
println!("{}", create_table(&tuples_right_join));
println!("full join:");
let tuples_full_join = kipsql.run("select * from t1 full join t2 on a = c").await?;
println!("{}", create_table(&tuples_full_join));
println!("count agg:");
let tuples_count_agg = kipsql.run("select count(d) from t2").await?;
println!("{}", create_table(&tuples_count_agg));
println!("count wildcard agg:");
let tuples_count_wildcard_agg = kipsql.run("select count(*) from t2").await?;
println!("{}", create_table(&tuples_count_wildcard_agg));
println!("count distinct agg:");
let tuples_count_distinct_agg = kipsql.run("select count(distinct d) from t2").await?;
println!("{}", create_table(&tuples_count_distinct_agg));
println!("sum agg:");
let tuples_sum_agg = kipsql.run("select sum(d) from t2").await?;
println!("{}", create_table(&tuples_sum_agg));
println!("sum distinct agg:");
let tuples_sum_distinct_agg = kipsql.run("select sum(distinct d) from t2").await?;
println!("{}", create_table(&tuples_sum_distinct_agg));
println!("avg agg:");
let tuples_avg_agg = kipsql.run("select avg(d) from t2").await?;
println!("{}", create_table(&tuples_avg_agg));
println!("min_max agg:");
let tuples_min_max_agg = kipsql.run("select min(d), max(d) from t2").await?;
println!("{}", create_table(&tuples_min_max_agg));
println!("group agg:");
let tuples_group_agg = kipsql
.run("select c, max(d) from t2 group by c having c = 1")
.await?;
println!("{}", create_table(&tuples_group_agg));
println!("alias:");
let tuples_group_agg = kipsql.run("select c as o from t2").await?;
println!("{}", create_table(&tuples_group_agg));
println!("alias agg:");
let tuples_group_agg = kipsql
.run("select c, max(d) as max_d from t2 group by c having c = 1")
.await?;
println!("{}", create_table(&tuples_group_agg));
println!("time max:");
let tuples_time_max = kipsql.run("select max(e) as max_time from t2").await?;
println!("{}", create_table(&tuples_time_max));
println!("time where:");
let tuples_time_where_t2 = kipsql
.run("select (c + 1) from t2 where e > '2021-05-20'")
.await?;
println!("{}", create_table(&tuples_time_where_t2));
assert!(kipsql
.run("select max(d) from t2 group by c")
.await
.is_err());
println!("distinct t1:");
let tuples_distinct_t1 = kipsql.run("select distinct b, k from t1").await?;
println!("{}", create_table(&tuples_distinct_t1));
println!("update t1 with filter:");
let _ = kipsql.run("update t1 set b = 0 where b = 1").await?;
println!("after t1:");
let update_after_full_t1 = kipsql.run("select * from t1").await?;
println!("{}", create_table(&update_after_full_t1));
println!("insert overwrite t1:");
let _ = kipsql
.run("insert overwrite t1 (a, b, k) values (-99, 1, 0)")
.await?;
println!("after t1:");
let insert_overwrite_after_full_t1 = kipsql.run("select * from t1").await?;
println!("{}", create_table(&insert_overwrite_after_full_t1));
assert!(kipsql
.run("insert overwrite t1 (a, b, k) values (-1, 1, 0)")
.await
.is_err());
println!("delete t1 with filter:");
let _ = kipsql.run("delete from t1 where b = 0").await?;
println!("after t1:");
let delete_after_full_t1 = kipsql.run("select * from t1").await?;
println!("{}", create_table(&delete_after_full_t1));
println!("truncate t1:");
let _ = kipsql.run("truncate t1").await?;
println!("drop t1:");
let _ = kipsql.run("drop table t1").await?;
println!("decimal:");
let tuples_decimal = kipsql.run("select * from t3").await?;
println!("{}", create_table(&tuples_decimal));
println!("like rewrite:");
let tuples_like_rewrite = kipsql.run("select * from t4 where b like 'abc%'").await?;
println!("{}", create_table(&tuples_like_rewrite));
Ok(())
}
}