I have a problem with connecting Redis to clickhouse. How can I get data from Redis and import it to clickhouse?
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Only one redis database can be read at a time, and only one database can be written to. Data is being sunk into two databases. how to set it up.
I want to create a redis cluster concept. how to it's is use full and it's problems.
Is there a way to import data from an ODBC connection AND make it live data? Meaning a constant flow. I know of the Import wizard but wasn't sure if that was a one time deal or not.
We have 10 nodes AWS EMR Cluster with emr 5.5.0 version, Spark 2.1.0
We want to write summary data into couchbase database. We are using PySpark with Spark SQL to generate summary data. Summary data is, in the form of PySpark DataFrame.
We want to write this summary data(PySpark DataFrame) into couchbase database.
Does the Couchbase Spark Connector having support for PySpark? If yes, could you please share the information on how to write data into couchbase database using PySpark.
At the moment, Couchbase does not have support for PySpark.
I am studying Redis, and I surprise how Redis works. I found that Redis, store recent data in cache in NoSQL format and have their own query for that. But I am curious about the following working:
How data store in persistence database. Do we need to fire same insert query in both the database?
If Redis uses NoSQL database is it compulsory that persistence database we are using is follow NoSQL structure?
How data synchronisation works between Redis database and persistence database?
Redis offers persistence. There are several options depending on what exactly do you need. Here is the official documentation.
I have migrated my database schema to SQL Azure, but I have huge(millions) data records to be migrated please suggest me an approach to move data
Approaches I have tried.
SQLAzureMW tool (but it takes 14 hours time, its not feasible for me)
Import export on SQL server(even this is taking time)
Any other approaches ..need help..!!
For large datasets you usually have to take a more imaginative approach to migration!
One possible approach is to take a full data backup. Ensuring that transaction logs are committed and cleared at the same time.
upload, or use Azure Import / Export to get the backup into Azure blob storage
syncronise your transaction logs with Azure blob storage
Create an Azure SQL database, import backup
replay transaction logs
Keep in sync with transaction logs until you are ready to switch over.
If 14 hours using SQLAzure Migration Wizard and your database is Azure compatible, you have 4 other choices:
export locally to BACPAC, upload BACPAC to Azure, and import BACPAC to Azure
export BACPAC directly to Azure and then import BACPAC to Azure
Use SSMS migration wizard with the most recent version of SSMS (includes a number of functional and performance enhancements)
Use SQL Server transaction replication - see additional requirements for this option. This last option enables you to incrementally migrate to SQL DB and then when SQL DB is current with your on-premise database, just cut your application(s) over to SQL DB with minimal downtime
For more information, see https://azure.microsoft.com/en-us/documentation/articles/sql-database-cloud-migrate/#options-to-migrate-a-compatible-database-to-azure-sql-database