 3. Sync Clickhouse with MySQL_MongoDBChanllenges Complex Datasource Chanllenges Frequent Updates Chanllenges Possible Solutions 1. Replay binlog/oplog CRUD directly Can’t update/delete table frequently in Clickhouse Possible Solutions 2. tables ● SolidKey Typical Provider Config { Type: mysql, // mysql, mongodb, redis Listen: binlog, // binlog, kafka DataSource: user:pass@tcp(example.com:3306)/user, Table: user, QueryKeys: [ // usually0 码力 | 38 页 | 7.13 MB | 1 年前3 3. Sync Clickhouse with MySQL_MongoDBChanllenges Complex Datasource Chanllenges Frequent Updates Chanllenges Possible Solutions 1. Replay binlog/oplog CRUD directly Can’t update/delete table frequently in Clickhouse Possible Solutions 2. tables ● SolidKey Typical Provider Config { Type: mysql, // mysql, mongodb, redis Listen: binlog, // binlog, kafka DataSource: user:pass@tcp(example.com:3306)/user, Table: user, QueryKeys: [ // usually0 码力 | 38 页 | 7.13 MB | 1 年前3
 ClickHouse: настоящее и будущее(SingleStore) Vertica SAP HANA Sybase IQ MS SQL with CS index Oracle Exadata IBM Netezza, IBM BLU TiDB Hawq Vectorwise Snowflake Citus Druid jd MariaDB CS Exasol Teradata ClickHouse — хорошая система0 码力 | 32 页 | 2.62 MB | 1 年前3 ClickHouse: настоящее и будущее(SingleStore) Vertica SAP HANA Sybase IQ MS SQL with CS index Oracle Exadata IBM Netezza, IBM BLU TiDB Hawq Vectorwise Snowflake Citus Druid jd MariaDB CS Exasol Teradata ClickHouse — хорошая система0 码力 | 32 页 | 2.62 MB | 1 年前3
 ClickHouse: настоящее и будущее(SingleStore) Vertica SAP HANA Sybase IQ MS SQL with CS index Oracle Exadata IBM Netezza, IBM BLU TiDB Hawq Vectorwise Snowflake Citus Druid jd MariaDB CS Exasol Teradata ClickHouse — хорошая система0 码力 | 32 页 | 776.70 KB | 1 年前3 ClickHouse: настоящее и будущее(SingleStore) Vertica SAP HANA Sybase IQ MS SQL with CS index Oracle Exadata IBM Netezza, IBM BLU TiDB Hawq Vectorwise Snowflake Citus Druid jd MariaDB CS Exasol Teradata ClickHouse — хорошая система0 码力 | 32 页 | 776.70 KB | 1 年前3
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