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Database of Databases

Database Entry

PieCloudDB


PieCloudDB is a cloud-native OLAP DBMS database. It supports both IaaS and bare metal deployments.

Developer
Country of Origin
CN
Start Year
2021
Project Type
Commercial
Written in
Assembly, Bash, C, C++, Go, Java, Perl, PL/SQL, Python, R, SQL
Supported Languages
C, C++, Java, Perl, PL/SQL, Python, R, SQL, Tcl
Derived From
PostgreSQL
Compatible With
Greenplum, PostgreSQL
Operating Systems
Hosted, Linux
License
Proprietary

Database Entry

PieCloudDB


PieCloudDB is a cloud-native OLAP DBMS database. It supports both IaaS and bare metal deployments.

History


PieCloudDB is developed by OpenPie and released in October 2022. The cloud-hosted version was released in March 2023.

Concurrency Control


In PieCloudDB, the concurrency control scheme used by each coordinator instance is Multi-Version Concurrency Control (MVCC). This approach ensures that each transaction reads from a consistent snapshot of the database that remains unaltered by concurrent transactions.

Data Model


PieCloudDB is a relational DBMS that supports SQL.

Indexes


PieCloudDB does not support index because it targets OLAP workloads.

Isolation Levels


PieCloudDB support two isolation levels: Read Committed and Repeatable Read.

Joins


PieCloudDB support multiple join algorithms, including Hash Join, Merge Join and Nested Loop Join. And PieCloudDB also support two logical joins: Semi Join and Anti Join.

Query Compilation


Query Execution


Query Interface


SQL

PieCloudDB provides full support for the SQL:1992 standard. It is also the components of the SQL:2016 that target OLAP workloads. It also supports additional operations, such as window functions.

Storage Architecture


PieCloudDB supports various distributed file system protocol for data storage, including object storage, HDFS and posix. The worker node also uses its local disk as data cache.

Storage Format


PieCloudDB build its own hybrid column/row (PAX) storage format called "JAMN".

Storage Model


PieCloudDB's horizontal data block into compressed, immutable files, along with the inclusion of footers containing column offsets, provides an efficient and optimized storage system. It improves data compression, accelerates query processing, and simplifies data management within the database.

Stored Procedures


System Architecture


In PieCloudDB, query execution is performed within elastic clusters of virtual machines called virtual warehouses. When executing queries, virtual warehouses utilize related file system protocol to read and write data from a distributed file system. The Cloud Service layer in PieCloudDB encompasses a collection of services responsible for managing computation clusters, queries, transactions, and metadata such as database catalogs and access control information.

Views


PieCloudDB support both materialized views and virtual views.

Citations

1 source
  1. OpenPie 拓数派—PieDataComputingSystem 大模型数据计算系统 openpie.com
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