I need help for something, I'm new in Bigquery..
I want to see my SQL tables over Bigquery connection at the Data Studio. However I couldn't figure it out how to connect GCP mySQL instance from Bigquery.
I tried to change region/location of my SQL instance.(I think it helped a little) And using this query at the new BigQuery web UI.. but I receive below error.
SELECT *
FROM
myinstanceid.my_database_01.TABLE_YS ys
Error: ((Not found: Project myinstanceid))
You cannot directly connect MySQL databases the only external data sources supported are: GCS files, Cloud Bigtable, Google Drive (even directly google spreadsheets).
To run analytics on data inside your MySQL DB you will need to export data into a supported external data source or even better into a BigQuery native table.
Related
There is an option to connect a Cloud mySQL instance from BigQuery. I just wanted to know how we can connect a Cloud SQL Server instance to BigQuery.
SQL Server:
There are a bunch of third-party extensions/tools that provide this service. One of them is SSIS Data Flow Source & Destination for Google BigQuery, which is Visual Studio extension that connects SQL Server with Google BigQuery data through SSIS Workflows.:
https://www.cdata.com/drivers/bigquery/ssis/
https://marketplace.visualstudio.com/items?itemName=CDATASOFTWARE.SSISDataFlowSourceDestinationforGoogleBigQuery
In regards to using SQL Server Integration Services to load the data from the on-premises SQL Server to BigQuery, you can take a look for this site. You can also perform ETL from a relational database into BigQuery using Cloud Dataflow, the official documentation details how it can be done, you might need to use Cloud Storage as an intermediate data sink.
Cloud SQL:
BigQuery allows to query data from Cloud SQL by using federated query. The connection must be created within the same project where your Cloud SQL instance is located. If you want to query your data stored in your Cloud SQL instance from BigQuery located in another project, please follow the steps listed below:
Enable the BigQuery API and the BigQuery connection API within your project.
Create a connection to your Cloud SQL instance within the project by following this documentation.
Once you have created the connection, please locate and select it within BigQuery.
Click on the SHARE CONNECTION button and grant permissions to the users that will be use that connection. Please note that the BigQuery Connection User role is the only needed to use a shared connection.
Additionally, please notice that the "Cloud SQL federated queries" feature is in a Beta stage and might change or have limited support (is no available for certain regions, in which case, it is required to use one the supported options mentioned here). Please remember, that to use Cloud SQL Federated queries in BigQuery, the intances need to have a public IP.
If you are limited e.g. by region, one good option might be exporting the data from CloudSQL to Storage as a CSV, and then load it into BigQuery. If you need, it is possible to automate this process using Cloud Composer, refer to this article.
Other approach is to extract information from Cloud SQL (with exports) and import it into BigQuery through load jobs, or streaming inserts.
I hope you find the above pieces of information useful.
It is possible, but be warned the feature is currently Beta
https://cloud.google.com/bigquery/docs/cloud-sql-federated-queries
i setup the VPN connection between my on-prem sql server and GCP. i need to load more than 10 million rows data from sql server to bigquery. is there any way to achieve it? can i use SSIS to load the data to bigquery?
my team lead request to use dataflow to load the data to bigquery and not using SSIS.
In regards to using SSIS to load the data from the on-premises SQL Server to BigQuery, this might be what you're looking for. As for using Cloud Dataflow, the official GCP documentation details how it can be done, although you might need to use Cloud Storage as an intermediate data sink.
I need to understand the below:
1.) How does one BigQuery connect to another BigQuery and apply some logic and create another BigQuery. For e.g if i have a ETL tool like Data Stage and we have some data been uploaded for us to consume in form of a BigQuery. So in DataStage or using any other technology how do i design the job so that the source is one BQ and the Target is another BQ.
2.) I want to achieve like my input will be a VIEW (BigQuery) and then need to run some logic on the BigQuery View and then load into another BigQuery view.
3.) What is the technology used to connected one BigQuery to another BigQuery is it https or any other technology.
Thanks
If you have a large amount of data to process (many GB), you should do the transformation of the data directly in the Big Query database. It would be very slow to extract all the data, run it through something locally, and send it back. You don't need any outside technology to make one view depend on another view, besides access to the relevant data.
The ideal job design will be an SQL query that Big Query can process. If you are trying to link tables/views across different projects then the source BQ table must be listed in fully-specified form projectName.datasetName.tableName in the FROM clauses of the SQL query. Project names are globally unique in Google Cloud.
Permissions to access the data must be set up correctly. BQ provides fine-grained control over who can access, and it is in the BQ documentation. You can also enable public access to all BQ users if that is appropriate.
Once you have that SQL query, you can create a new view by sending your SQL to Google BigQuery either through the command line (the bq tool), the web console, or an API.
1) You can use BigQuery Connector in DataStage to read and write to bigquery.
2) Bigquery use namespaces in the format project.dataset.table to access tables across projects. This allows you to manipulate your data in GCP as it were in the same database.
To manipulate your data you can use DML or standard SQL.
To execute your queries you can use the GCP Web console or client libraries such as python or java.
3) BigQuery is a RESTful web service and use HTTPS
I need to setup a data pipeline from some source databases like Oracle, MySQL and load the data to BigQuery.
How can I use google-cloud-dataflow to read data from a database(jdbc connection) and write to BigQuery tables using Python.
Also, I have some hive tables in an on-premise Hadoop cluster, how do I transfer this data to BigQuery.
I couldn't find the right documentation or examples to achieve this.
Can you please point me in the right direction.
I applied a solution in my project to provide such thing, you need to follow these steps:
Load data from Google Cloud SQL to Google Cloud storage in CSV by following this link.
Load the CSV data from Google cloud storage directly into BigQuery by following this link.
People, the company where I work has some MySQL databases on AWS (Amazon RDS). We are making a POC with BigQuery and what I am researching now is how to replicate the bases to BigQuery (the existing registers and the new ones in the future). My doubts are:
How to replicate the MySQL tables and rows to BigQuery. Is there any tool to do that (I am reading about Amazon Database Migration Service)? Should I replicate to Google Cloud SQL and than export to BigQuery?
How to replicate the future registers? Is possible to create a job inside MySQL to send the new registers after a predefined number? For example, after 1,000 new rows are inserted (or a time is passed), some event is "triggered" and the new registers are copied to Cloud SQL/BigQuery?
My initial idea is to dump the original base, load it to the other and use a script to listen to new registers and send them to the new base.
Have I explained it properly? Is it understandable?
You will need to use one of the ETL tools which have integration with both mySQL and BigQuery to perform initial transfer of the data and copy subsequent changes to BigQuery. Take a look on the list of available tools [1]
You can also implement your own tool by developing a process which will extract the data from mySQL to a CSV file and then load that file into BigQuery using data import [2]
[1] https://cloud.google.com/bigquery/third-party-tools
[2] https://cloud.google.com/bigquery/loading-data-into-bigquery
In addition to what Vadim said, you can try:
mysqldump to CSV files to s3 (I believe RDS allows that)
run "gsutil" Google Cloud Storage utility to copy data from s3 to GCS
run "bq load file.csv" to load the file to BigQuery
I'm interested in hearing your experience, so feel free to ping me in private.