I am using fuseki 1.0,we want to export the RDF data from fuseki 1.0.we want the bulk export from fuseki 1.0 to import into marklogic.what are all the ways available for bulk export from fuseki 1.0?what are all the tools available for bulk RDF export?How to export?Please clarify.
Thanks in advance.
I'm assuming you wish to import into Marklogic as RDF.
Your basic options are SPARQL CONSTRUCT queries or a GET using the SPARQL Graph Store HTTP Protocol. How complicated this is depends on whether you are using named graphs in your Fuseki store and want to preserve them when importing into Marklogic. If you choose to use the HTTP option Fuseki includes helper scripts, see the SPARQL over HTTP section of the documentation or simply try running the s-get script.
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I loaded data (almost 1-billion row data) from hdfs (Hadoop) to Apache Druid. Now, I am trying to export this data set as a CSV to my local. Is there any way to do this in Druid?
There is a download icon on the druid SQL. However, when you click it, it allows you to download the data up to which page you are on. I have soo many pages, so I cannot go through all pages to download all data.
You can POST a SQL query to the Query API and provide a resultFormat in your POST of csv.
https://druid.apache.org/docs/latest/querying/sql.html#responses
Is there any automatic/manual way to export data from firestore database to a BigQuery table?
Tried to look around, it looks like there's no way to export data from firestore without using code.
Any news about this one?
Thanks.
The simplest way to import Firestore data into BigQuery which does not require coding is using the command line. You can first export the data using the command below. Note that for importing the data into BigQuery you can only import specific collections and not all your documents in one batch.
gcloud beta firestore export gs://[BUCKET_NAME] --collection-ids='[COLLECTION_ID]'
Next, in the bucket you specified above, you will find a folder named after the timestamp of your export. Navigate the directories, locate the file ending with the file extension “export_metadata” and use its file path as the import source. You can then import the data into BigQuery using the command below:
bq --location=[LOCATION] load --source_format=DATASTORE_BACKUP [DATASET].[TABLE] [PATH_TO_SOURCE]
The best way to do this now is to use the official Firebase extension for exporting data in real-time from Firestore to BigQuery: https://github.com/firebase/extensions/tree/master/firestore-bigquery-export
Configuration can be done through the console or the CLI without using any code. The configured extension syncs data from Firestore to BigQuery in essentially realtime.
The extension creates an event listener on the Firestore collection you configure and a cloud function to sync data from Firestore to BigQuery.
How I can export information from hawt.io's dashboard to database in realtime? I want to save history of cpu load and ect, and read they from database later. May be this all wrong way and better write, using jolokia, something specific for my task?
hawtio is the visualization of the data, you better extract the data using jolokia yourself to store in the database. Jolokia makes extracting the data easier as you can use REST over HTTP as transport instead of native Java JMX.
I'm trying to use Google BigQuery to download a large dataset for the GitHub Data Challenge. I have designed my query and am able to run it in the console for Google BigQuery, but I am not allowed to export the data as CSV because it is too large. The recommended help tells me to save it to a table. This requires requires me to enable billing on my account and make a payment as far as I can tell.
Is there a way to save datasets as CSV (or JSON) files for export without payment?
For clarification, I do not need this data on Google's cloud and I only need to be able to download it once. No persistent storage required.
If you can enable the BigQuery API without enabling billing on your application, you can try using the getQueryResult API call. You're best bet is probably to enable billing (you probably won't be charged for the limited usage you need as you will probably stay within the free tier but if you do get charged it should only be a few cents) and save your query as a Google Storage object. If its too large I don't think you'll be able to use the Web UI effectively.
See this exact topic documentation:
https://developers.google.com/bigquery/exporting-data-from-bigquery
Summary: Use the extract operation. You can export CSV, JSON, or Avro. Exporting is free, but you need to have Google Cloud Storage activated to put the resulting files there.
use BQ command line tool
$ bq query
use the --format flag to save results as CSV.
I want to export some tables in my DB to an Excel/Spreadsheet every month.
In PHPMyAdmin there is a direct option of exporting the result of a query to the desired filetype. How do I make use of this export feature without another script to run a cronjob on a monthly basis?
Basically on a CPanel (the DB is hosted in the web) we just have to give the path to the script to be executed via a cronjob. But in PHPMyAdmin there is no such opportunity. Its an included feature of PHPMyAdmin where we generally click and do it mannually. So how do i do it in Cpanel?
Do you have ssh access to the box? Personally I'd implement this outside of phpmyadmin, as phpmyadmin is just intended for manual operations via the interface. Why not write a simple script to export the db?
Something like mysqldump database table.
Being a web-app, the export function is a POST request. In the demo application the URL is http://demo.phpmyadmin.net/STABLE/export.php, and then the post data contains all the required parameters, for example: (You can use Fiddler/Chrome dev tools too view it)
token:3162d3b849cf652c2577a45f90022df7
export_type:server
export_method:quick
quick_or_custom:custom
output_format:sendit
filename_template:#SERVER#
remember_template:on
charset_of_file:utf-8
compression:none
what:excel
codegen_structure_or_data:data
codegen_format:0
csv_separator:,
csv_enclosed:"
.....
The one tricky bit is the authentication token, but I believe this is also possible to overcome using some configuration and/or extract parameters (like the 'direct login' in http://demo.phpmyadmin.net/)
See here
How to send data using curl from Linux command line?
If you want to avoid all this, there are many other web-automation tools that can record the scenario and play it back.
just write a simple php script to connect to your database and use the answer here:How to output MySQL query results in CSV format?