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New features and enhancements of Spider Storage Engine for sharding

New features and enhancements of Spider Storage Engine for sharding

Introducing new features and enhancements of Spider

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Kentoku SHIBA

June 21, 2019
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  1. New features and enhancements of Spider Storage Engine for sharding

    MariaDB Corporation Kentoku SHIBA
  2. 1. what is SPIDER? 2. how long is SPIDER used

    in the big environment? 3. why SPIDER? what SPIDER can do for you? 4. when SPIDER is right for you? what cases should you use SPIDER? 5. SPIDER sharding architecture 6. how to get SPIDER working? 7. SPIDER’s other features 8. New features and enhancements Agenda
  3. What is Spider

  4. What is the Spider Storage Engine? Spider is a sharding

    solution and proxying solution. Spider Storage Engine is a plugin of MariaDB/MySQL. Spider tables can be used to federate from other servers MariaDB/MySQL/OracleDB tables as if they stand on local server. And Spider can create database sharding by using table partitioning feature.
  5. What is the Spider Storage Engine? 1.request 2. Execute SQL

    4.response AP All databases can be used as ONE database through Spider. AP AP AP AP SPIDER (MariaDB/MySQL) MariaDB tbl_a MySQL tbl_b SPIDER (MariaDB/MySQL) SPIDER (MariaDB/MySQL) OracleDB tbl_c 3. Distributed SQL 3. Distributed SQL 3. Distributed SQL
  6. What is the Spider Storage Engine? Spider is bundled in

    MariaDB from 10.0 and all patches for MariaDB is applied in 10.3
  7. How long is SPIDER used in the big environment?

  8. How long is SPIDER used in the big environment? Siemens

    They handle 200 Billion records per quarter on 3 Spider nodes and 4 data nodes. They use this cluster for data quality analytics.
  9. How long is SPIDER used in the big environment? Tencent

    Games They handle 100TB datas on 396 Spider nodes and 2800 data nodes. They use this cluster for produce online games.
  10. Why SPIDER? What SPIDER can do for you?

  11. Why Spider? What Spider can do for you? For federation

    You can attach tables from other servers or from local server by using Spider. For sharding You can divide huge tables and huge traffics to multiple servers by using Spider.
  12. Why Spider? What Spider can do for you? Cross shard

    join You can join all tables by using Spider, even if tables are on different servers.
  13. simple sharding solution Join operation with simple sharding solution (without

    Spider) DB1 tbl_a1 1.Request 2. Execute SQL with JOIN 3.Response DB2 AP Join operation requires that all joined tables are on same server. AP AP AP AP tbl_a2 tbl_b1 tbl_b2
  14. Join operation with Spider 1.request 2. Execute SQL with JOIN

    3.response AP You can JOIN all tables, even if tables are on different servers. AP AP AP AP SPIDER (MariaDB/MySQL) DB1 tbl_a1 DB2 tbl_a2 tbl_b1 tbl_b2
  15. Why Spider? What Spider can do for you? Join push

    down If it is possible, Spider executes JOIN operation at data node directly.
  16. JOIN push down 1.request 2. Execute SQL with JOIN 3.response

    AP If all tables are on same data node, Spider executes JOIN operation on data node directly. AP AP AP AP SPIDER (MariaDB/MySQL) DB1 tbl_a DB2 tbl_c tbl_b tbl_d
  17. JOIN push down Simple join operation are two times faster

    on simple JOIN pushdown test. Also, in this pushdown of JOIN, when aggregate functions are included in the query, since the aggregation processing is also executed at the data node, the amount of data transfer is greatly reduced and it becomes super high speed.
  18. When SPIDER is right for you? What cases should you

    use SPIDER?
  19. When SPIDER is right for you? What cases should you

    use SPIDER? You should better use Spider 1.when you have 2 or more services and the services needs to use data of other services. 2.when you need scaling out for huge data or write traffics.
  20. When SPIDER is right for you? What cases should you

    use SPIDER? You should better use Spider 3.Unless some big data solutions you can benefit indexing on shards. 4.You need sharding using sharding key you want. 5.You need sharding and consistency.
  21. SPIDER sharding architecture

  22. SPIDER sharding architecture Spider stores partitions on different servers. This

    sharding design is done using the database native table partitioning. You can use all partitioning rules. (key, range, hash, and so on)
  23. Sharding 1.request 2. Execute SQL 3.response AP Using table partitioning

    rules AP AP AP AP SPIDER (MariaDB/MySQL) DB1 tbl_a DB2 tbl_a DB3 tbl_a DB4 tbl_a
  24. SPIDER sharding architecture You can federate multiple servers for the

    same partition to bring HA and load balancing per partition.
  25. Duplicating 1.request 2. Execute SQL 3.response AP Duplicating for each

    partitions AP AP AP AP SPIDER (MariaDB/MySQL) DB1 tbl_a DB2 tbl_a DB3 tbl_a DB4 tbl_a DB5 tbl_a Duplicating Duplicating
  26. SPIDER sharding architecture When writing multiple replicates or on multiple

    servers, Spider use 2 phase commit to preserve write consistency.
  27. Write consistency 1.request 2. Execute SQL 3.response AP Using 2

    phase commit AP AP AP AP SPIDER (MariaDB/MySQL) DB1 tbl_a DB2 tbl_a DB3 tbl_a DB4 tbl_a 2 phase commit
  28. How to get SPIDER working?

  29. How to get SPIDER working? (1/5) 1. Install Spider bundled

    with MariaDB/MySQL. 2. Login MariaDB/MySQL then install Spider as a plugin. (execute install_spider.sql) 3. Create Spider table.
  30. How to get SPIDER working? (2/5) Create one to one

    Spider table. CREATE TABLE t1( c1 int, c2 varchar(100), PRIMARY KEY(c1) )ENGINE=spider DEFAULT CHARSET=utf8 COMMENT ' table "rt1", database "test", port "3306", host "host name of data node", user "user name for data node", password "password for data node" '; Set engine name to “Spider” and write connect information (and parameter) in the comment.
  31. How to get SPIDER working? (3/5) You can create Spider

    tables without column definitions in MariaDB. In this case Spider gets the column definition from data node. CREATE TABLE t1 ENGINE=spider DEFAULT CHARSET=utf8 COMMENT ' table "rt1", database "test", port "3306", host "host name of data node", user "user name for data node", password "password for data node" ';
  32. How to get SPIDER working? (4/5) Create one to many

    (sharding) Spider table CREATE TABLE t1( c1 int, c2 varchar(100), PRIMARY KEY(c1) )ENGINE=spider DEFAULT CHARSET=utf8 COMMENT 'table "rt1", database "test", port "3306", user "user name for data node", password "password for data node"' PARTITION BY RANGE(c1) ( PARTITION p0 VALUES LESS THAN (100000) COMMENT 'host "h1"', PARTITION p1 VALUES LESS THAN (200000) COMMENT 'host "h2"', PARTITION p2 VALUES LESS THAN (300000) COMMENT 'host "h3"', PARTITION p3 VALUES LESS THAN MAXVALUE COMMENT 'host "h4"' ); Write shared connect information to table comment, shard specific connect information to partition comment.
  33. How to get SPIDER working? (5/5) You can use “CREATE

    SERVER” statement for defining connection information. CREATE SERVER srv1 FOREIGN DATA WRAPPER mysql HOST 'host name of data node', DATABASE 'test', USER 'user name for data node', PASSWORD 'password for data node', PORT 3306 ; You can use create server definition by writing “server” parameter into table/partition comment. CREATE TABLE t1( c1 int, c2 varchar(100), PRIMARY KEY(c1) )ENGINE=spider DEFAULT CHARSET=utf8 COMMENT 'table "rt1", server "srv1"';
  34. Spider’s other features

  35. Spider’s other features Fulltext/Geo search feature You can use backend

    Fulltext/Geo search feature transparently. NoSQL feature (not available for MariaDB yet) You can use HandlerSocket for Spider. OracleDB connecting You can use OracleDB for data node. Note: You need to build from source code for using this feature
  36. Spider’s other features Parallel searching You can search sharded table

    by parallel. Direct updating Improve updating performance. Direct aggregating Improve aggregating(group by) performance.
  37. Spider’s other features Engine condition pushdown Improve searching with full-scan

    performance. Multi Range Read (include Batched Key Access) Improve searching with join performance.
  38. New features and enhancements

  39. DDL(Create Table) Pushdown (working) Create Table When Spider gets DDL,

    Spider creates DDL for data nodes and pushes it. SPIDER (MariaDB/MySQL) DB1 tbl_a DB2 tbl_a Create Table Create Table
  40. The setting of DDL pushdown Working…

  41. Support more aggregate functions for direct join Support count(distinct), sum(distinct),

    avg() and avg(distinct). SPIDER (MariaDB/MySQL) DB1 tbl_a DB2 tbl_a Select count(distinct c2) from tbl_a where c1 = 1; Select count(distinct c2) from tbl_a where c1 = 1;
  42. Support outer joins for direct join Spider can pushdown a

    query with outer joins if these tables are on same data node. SPIDER (MariaDB/MySQL) DB1 tbl_a DB2 tbl_a Select … from tbl_a left join tbl_b on … where tbl_a.c2 = tbl_b.c1; Select … from tbl_a left join tbl_b on … where tbl_a.c2 = tbl_b.c1;
  43. Transaction isolation for slave sql threads Replication Spider changes transaction

    isolation level for slave sql threads. SPIDER (MariaDB/MySQL) DB1 tbl_a DB2 tbl_a Master tbl_a Repeatable Read Repeatable read for user threads Read committed only for slave sql threads (spider_slave_trx_isolation = 1)
  44. Use disk by size of a resultset from a data

    node Spider uses a disk temporary table if a resultset from a data node is too big. SPIDER (MariaDB/MySQL) DB1 tbl_a DB2 tbl_a
  45. Parallel checksum table Checksum Table SPIDER (MariaDB/MySQL) DB1 tbl_a DB2

    tbl_a Checksum Table Checksum Table
  46. Other new features and enhancements Adjusting wait_timeout A feature of

    keeping connections. Synchornizing sql_mode Support rules of sql_mode transparently. Support mixed charsets in a query Support multiple lingual use cases. Performance improvement of partition with a large amount of partitions (working) Improve performance of sharding environments.
  47. Other new features and enhancements Bugfixes Thanks to Eric, Mattias,

    Simon at Booking.com Felix, Will at Tencent Games Michal at Fedora Project and others.
  48. Thank you for taking your time!!