Aurora for MySQL to Hive

BladePipe supports data replication from Aurora for MySQL to Hive. View supported migration, sync, verification, and connector capabilities.

Target DataSource：

Hive

Connection

Function	Description
Schema Migration	If the target schema does not exist, BladePipe will automatically generate and execute CREATE statements based on the source metadata and the mapping rule.
Full Data Migration	Migrate data by sequentially scanning data in tables and writing it in batches to the target database.
Incremental Data Sync	Sync of common DML like INSERT, UPDATE, DELETE is supported (for tables with primary keys).
Position Resetting	Reset positions by file position or timestamp. Allow re-consumption of incremental data logs in a past period or since a specific Binlog file and position.
Table Name Mapping	Support the mapping rules, namely, keeping the name the same as that in Source, converting the text to lowercase, converting the text to uppercase, truncating the name by "_digit" suffix.
Metadata Retrieval	Retrieve the target metadata with filtering conditions or target primary keys set from the source table.

Function	Description
Removal of Target Data before Full Data Migration	Remove the existing data in the Target before running the Full Data Migration, applicable for DataJobs reruning and scheduled Full Data migrations.
Recreating Target Table	Recreate target tables before running the Full Data Migration, applicable for DataJobs reruning and scheduled Full Data migrations.
Scheduled Full Data Migration	For more information, see Create Scheduled Full Data DataJob.
Custom Code	For more information, see Custom Code Processing, Debug Custom Code and Logging in Custom Code.
Setting Target Primary Key	Change the primary key to another field to facilitate data aggregation and other operations.
Data Filtering Conditions	Support data filtering using WHERE conditions, with SQL-92 as the SQL language. For more information, see Data Filtering.

Limit	Description
MySQL Storage Engine	Support InnoDB, MyISAM, AWS XEngine. Other storage engines have not been tested yet.
MySQL Character Set	Support utf8, utf8mb4, latin1. Other encodings have not been tested yet.

Prerequisite	Description
Permissions for Account	See Permissions Required for MySQL/MariaDB.
Enabling Binlog	[mysqld] log-bin=mysql-bin # Enable Binlog binlog-format=ROW # Choose ROW mode binlog_row_image=FULL # Changes include all column data

Parameter	Description
parseBinlogParallel	Number of threads for parallel parsing of Binlog in Incremental DataJobs.
parseBinlogBufferSize	Size of the circular buffer for parsing Binlog in Incremental DataJobs.
maxTransactionSize	Maximum number of data rows per transaction. If exceeded, the transaction will be split and flushed in parts.
limitThroughputMb	Limit the throughput of incremental Binlogs.
extraDDL	Support synchronization of additional DDL, including PT, GHOST, ALI_DMS, and PT_GHOST.
needJsonEscape	Escape special characters in JSON to be written to the target database.
fullDataSqlConditionEnabled	Add filtering conditions in SQL during source data scanning. It only works in Full Data migration.
srcTimeZone	Source time zone, e.g., +08:00, Asia/Shanghai, America/New_York, etc.

Tips: To modify the general parameters, see General Parameters and Functions.

Prerequisite	Description
Port Preparation	Allow the migration and sync node (Worker) to connect to the HDFS/Hive port.

Parameter	Description
asyncFlushIntervalSec	Interval to wait for flushing when writing in batches; If the wait time exceeds asyncFlushIntervalSec, or the data size exceeds totalDataInMemMb, then data is flushed to the write queue.
totalDataInMemMb	Maximum data size allowed in memory when writing in batches; If the data size exceeds the memory limit, or the wait time exceeds asyncFlushIntervalSec, then data is flushed to the write queue.
realFlushPauseSec	Wait time to flush data to HDFS. 0 means no wait is needed.
hdfsBlockSize	HDFS block size in Hive.
incrTempSchemaName	Temporary schema for incremental data in Hive.
incrTempTableIntervalCharacter	Concatenation operator of temporary tables for incremental data in Hive.
incrTempTableDistConnect	Connection specifiers of temporary tables for incremental data in Hive. There must be two specifiers with ; in between.
incrMergePollingPauseSec	Polling interval of checking threads in merging temporary tables for incremental data (in seconds).
incrMergeTimePauseMin	Interval of merging temporary tables for incremental data (in minutes).

Tips: To modify the general parameters, see General Parameters and Functions.