I am looking for ways to extract the data from BigQuery and load into Cassandra. I believe Talend has the connectors to extract data from BigQuery and load data to Cassandra. Is there any other tools that can do this?
Thanks for any help.
Related
Is it feasible to migrate from Hbase to Cassandra?
If so, Could you please assist with steps to migrate from Hbase to Cassandra?
The simplest way to migrate data into a Cassandra database is by exporting the data from the source into CSV files.
Once you have the CSV files, you can bulk-load them into Cassandra tables using the DataStax Bulk Loader (DSBulk) tool.
Here are some references with examples to help you get started quickly:
Blog - DSBulk Intro + Loading data
Blog - More DSBulk Loading examples
Blog - Counting records with DSBulk count
Docs - Loading data examples
You can use the count command I linked above to check how many records were bulk-loaded as a way of verifying that it worked. DSBulk is open-source so it's free to use. Cheers!
I have a system that generate 100,000 rows/s and size of each row is 1KB and want to use Cassandra for database.
I get data from Apache Kafka and then should insert it into database.
What is the best way for load this volume of data into Cassandra ?
Kafka Connect is designed for this. On this page you will find a list of connectors including a Cassandra sink connectors https://www.confluent.io/product/connectors/
I have some Hive tables in an on-premise hadoop cluster.
I need to transfer the tables to BigQuery in google cloud.
Can you suggest any google tools or any open source tools for the data transfer?
Thanks in advance
BigQuery can import Avro files.
This means you can do something like INSERT overwrite table target_avro_hive_table SELECT * FROM source_hive_table;
You can then load the underlying .avro files into BigQuery via the bq command line tool or using the console UI:
bq load --source_format=AVRO your_dataset.something something.avro
Using BigQuery migration assessment feature we can migrate from data warehouse to BigQuery.
https://cloud.google.com/bigquery/docs/migration-assessment
I am very beginner here. Sorry If I asked duplicate/silly question.
Coming to point, as my product(Java web application) demands, I need to write some application which should push data to any of data stores(based on some configuration). The data store can be RDBMS, Hive or any NoSQL data store. So the query is, is SparkSql is best fit for my case, if yes, can I have list of data stores supported by Spark SQL. If Spark won't do this, are they any other approaches.
Please help me!
Yes! SparkSql(Spark) is the best fit for your usecase.
As per my knowledge, SparkSql supports RDBMS, Hive, and any NoSQL data store.
SparkSQL may not have APIs to directly access few stores but with a little help from Spark's API, you should be able to connect any data store.
We have been using Spark to connect to RDBMS, Cassandra, HBase, ElasticSearch, Solr, Hive, S3, HDFS etc.
From what I've seen in these example, it's only do-able via Gson. Is it possible to directly load Avro objects into a BigQuery table via the Spark Connector? Converting from Avro to BigQuery Json becomes a pain when the avro specification starts going beyond simple primitive values. (e.g. Unions)
Cheers
Not through Spark Connector, but BigQuery supports loading AVRO files directly: https://cloud.google.com/bigquery/loading-data#loading_avro_files