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Us-central1 VERSION: the version of the template that you want to useYou can use the following values: latest to use the latest version of the template, which is available in the non-dated parent folder in the bucket— gs://dataflow-templates-REGION_NAME/latest/ the version name, like 2023-09-12-00_RC00, to use a specific version of the template, which can be found nested in the respective dated parent folder in the bucket— gs://dataflow-templates-REGION_NAME/ GCS_FILE_PATH: the Cloud Storage path that is used to store datastream events. For example: gs://bucket/path/to/data/ CLOUDSPANNER_INSTANCE: your Spanner instance. CLOUDSPANNER_DATABASE: your Spanner database. DLQ: the Cloud Storage path for the error queue directory. API To run the template using the REST API, send an HTTP POST request. For more information on the API and its authorization scopes, see projects.templates.launch. POST "launch_parameter": { "jobName": "JOB_NAME", "containerSpecGcsPath": "gs://dataflow-templates-REGION_NAME/VERSION/flex/Cloud_Datastream_to_Spanner", "parameters": { "inputFilePattern": "GCS_FILE_PATH", "streamName": "STREAM_NAME" "instanceId": "CLOUDSPANNER_INSTANCE" "databaseId": "CLOUDSPANNER_DATABASE" "deadLetterQueueDirectory": "DLQ" } }} Replace the following: PROJECT_ID: the Google Cloud project ID where you want to run the Dataflow job JOB_NAME: a unique job name of your choice LOCATION: the region where you want todeploy your Dataflow job—for example, us-central1 VERSION: the version of the template that you want to useYou can use the following values: latest to use the latest version of the template, which is available in the non-dated parent folder in the bucket— gs://dataflow-templates-REGION_NAME/latest/ the version name, like 2023-09-12-00_RC00, to use a specific version of the template, which can be found nested in the respective dated parent folder in the bucket— gs://dataflow-templates-REGION_NAME/ GCS_FILE_PATH: the Cloud Storage path that is used to store datastream events. For example: gs://bucket/path/to/data/ CLOUDSPANNER_INSTANCE: your Spanner instance. CLOUDSPANNER_DATABASE: your Spanner database. DLQ: the Cloud Storage path for the error queue directory. Template source code Java What's next Learn about Dataflow templates. See the list of Google-provided templates.

The number of rows at the top of a file to skip when reading the data. Applies to CSV and Google Sheets data. uris For external tables, including object tables, that aren't Bigtable tables: ARRAY An array of fully qualified URIs for the external data locations. Each URI can contain one asterisk (*) wildcard character, which must come after the bucket name. When you specify uris values that target multiple files, all of those files must share a compatible schema. The following examples show valid uris values: ['gs://bucket/path1/myfile.csv'] ['gs://bucket/path1/*.csv'] ['gs://bucket/path1/*', 'gs://bucket/path2/file00*'] For Bigtable tables: STRING The URI identifying the Bigtable table to use as a data source. You can only specify one Bigtable URI. Example: For more information on constructing a Bigtable URI, see Retrieve the Bigtable URI. ExamplesThe following examples show common use cases for the LOAD DATA statement.Load data into a tableThe following example loads an Avro file into a table. Avro is aself-describing format, so BigQuery infers the schema.LOAD DATA INTO mydataset.table1 FROM FILES( format='AVRO', uris = ['gs://bucket/path/file.avro'] )The following example loads two CSV files into a table, using schemaautodetection.LOAD DATA INTO mydataset.table1 FROM FILES( format='CSV', uris = ['gs://bucket/path/file1.csv', 'gs://bucket/path/file2.csv'] )Load data using a schemaThe following example loads a CSV file into a table, using a specified tableschema.LOAD DATA INTO mydataset.table1(x INT64, y STRING) FROM FILES( skip_leading_rows=1, format='CSV', uris = ['gs://bucket/path/file.csv'] )Set options when creating a new tableThe following example creates a new table with a description and an expirationtime.LOAD DATA INTO mydataset.table1 OPTIONS( description="my table", expiration_timestamp="2025-01-01 00:00:00 UTC" ) FROM FILES( format='AVRO', uris = ['gs://bucket/path/file.avro'] )Overwrite an existing tableThe following example overwrites an existing table.LOAD DATA OVERWRITE mydataset.table1 FROM FILES( format='AVRO', uris = ['gs://bucket/path/file.avro'] )Load data into a temporary tableThe following example loads an Avro file into a temporary table.LOAD DATA INTO TEMP TABLE mydataset.table1 FROM FILES( format='AVRO', uris = ['gs://bucket/path/file.avro'] )Specify table partitioning and clusteringThe following example creates a table that is partitioned by thetransaction_date field and clustered by the customer_id field. It alsoconfigures the partitions to expire after three days.LOAD DATA INTO mydataset.table1 PARTITION BY transaction_date CLUSTER BY customer_id OPTIONS( partition_expiration_days=3 ) FROM FILES( format='AVRO', uris = ['gs://bucket/path/file.avro'] )Load data into a partitionThe following example loads data into a selected partition of an ingestion-timepartitioned table:LOAD DATA INTO mydataset.table1PARTITIONS(_PARTITIONTIME = TIMESTAMP '2016-01-01') PARTITION BY _PARTITIONTIME FROM FILES( format = 'AVRO', uris = ['gs://bucket/path/file.avro'] )Load a file that is externally partitionedThe following example loads a set

WordPress-backed sites and Google Sheets can do miracles together! From keeping a backup of your data from your site to GS to displaying a Sheet through embedding on your site, you can do many things. But yes, you surely need some best WordPress plugins to integrate Google Sheets into your site.EmbeddPress is surely the best plugin for Google Sheet integration this year, as it offers loads of customization options. However, it is paid! Forminator is the best one if you are looking for something free. And if you already have a form plugin installed, GSheetConnector will be your best bet!All the GS integration and embedding plugins available on the official store of WordPress have their pros and cons. So now, I’m going one by one to let you know about everything, from usability to functionality.Table of Contents6 Best WordPress Plugins For Google Sheets1. EmbedPress2. Ninja Tables3. WPForms4. Visualizer5. Forminator6. GSheetConnectorFAQsCan you embed a Google Sheet in a website directly?How do I integrate Google Sheets with WordPress?Can I use Google Sheets as an API?My Key TakeawaysI’ve personally tested 11 plugins on this website alone (as it is a new one of mine). But found only six among those that are actually optimized and serve my purpose. So, I’ll now have my take on each of these six plugins!1. EmbedPressClassic or block, whatever editor you are now using on your WordPress site, EmbedPress will work like a charm. And according to my user experience, it is genuinely the best Google Sheet embedding plugin for WordPress. It also works well with both Gutenberg and Elementor (Pro).Specifications:Current Version: 3.6.6WordPress Support: 4.6 or higherActive Installations: 70K+Total Downloads: 1.25+ MillionWordPress User Ratings: 137+ 5-Star reviewYou can now embed almost any kind of multimedia file and other resources with this fantastic plugin. And all will be integrated

Skycontroller 3Bluegrass with Skycontroller 2Bebop 2 with Skycontroller 2H520 with E90 camera and ST16S controller#advgb-tabs-9ceee0a7-ceda-4390-94d6-e2be17e30b95 li.advgb-tab.ui-tabs-active { background-color: #0071a1 !important; }PwC UK did a stock count audit with drones and Pix4Dmapper - and completed the job 85% fasterPix4Dcapture can be downloaded for free from Google Play and the App Store.Find out more about Pix4D.advgbbtn-42a04432-433d-4076-85f5-a5edaaf8da65 { font-size: 18px; color: #fff; background-color: #0232a0; padding: 6px 12px 6px 12px; border-width: 1px; border-color: #0232a0; border-radius: 50px; border-style: solid; } .advgbbtn-42a04432-433d-4076-85f5-a5edaaf8da65:hover { color: #fff; background-color: #2196f3; box-shadow: 3px 3px 1px 0px #ccc; transition: all 0.2s ease; }3: DJI GS ProDJI Ground Station Pro (DJI GS Pro) is an iPad app which allows you to conduct automated flight missions, manage flight data on the cloud and collaborate across projects to efficiently run your drone programme. DJI's slogan for GS Pro is mission-critical flight simplified.GS Pro is ideal for a range of industrial applications, including architecture, precision agriculture, electrical inspections, aerial imaging, safety control and search and rescue.GS Pro automatically generates efficient flight paths. The captured image data can be used to generate 3D mapsSo, what sort of things does GS Pro allow you to do?First off, when it comes to 3D mapping, there is plenty you can do. GS Pro automatically generates efficient flight paths after you have set up your required flight zone and camera parameters. The aircraft will then follow this route throughout its mission. The captured image data can be used to generate 3D maps.Other features include:Tap and Go Waypoint Flight: Set a

Folder in the bucket— gs://dataflow-templates-REGION_NAME/latest/ the version name, like 2023-09-12-00_RC00, to use a specific version of the template, which can be found nested in the respective dated parent folder in the bucket— gs://dataflow-templates-REGION_NAME/ STAGING_LOCATION: the location for staging local files (for example, gs://your-bucket/staging) INPUT_SUBSCRIPTION_NAME: the Pub/Sub subscription name TOKEN: Splunk's Http Event Collector token URL: the URL path for Splunk's Http Event Collector (for example, DEADLETTER_TOPIC_NAME: the Pub/Sub topic name JAVASCRIPT_FUNCTION: the name of the JavaScript user-defined function (UDF) that you want to useFor example, if your JavaScript function code ismyTransform(inJson) { /*...do stuff...*/ }, then the function name ismyTransform. For sample JavaScript UDFs, seeUDF Examples. PATH_TO_JAVASCRIPT_UDF_FILE: the Cloud Storage URI of the .js file that defines the JavaScript user-definedfunction (UDF) you want to use—for example, gs://my-bucket/my-udfs/my_file.js BATCH_COUNT: the batch size to use for sending multiple events to Splunk PARALLELISM: the number of parallel requests to use for sending events to Splunk DISABLE_VALIDATION: true if you want to disable SSL certificate validation ROOT_CA_CERTIFICATE_PATH: the path to root CA certificate in Cloud Storage (for example, gs://your-bucket/privateCA.crt) API To run the template using the REST API, send an HTTP POST request. For more information on the API and its authorization scopes, see projects.templates.launch.POST "jobName": "JOB_NAME", "environment": { "ipConfiguration": "WORKER_IP_UNSPECIFIED", "additionalExperiments": [] }, "parameters": { "inputSubscription": "projects/PROJECT_ID/subscriptions/INPUT_SUBSCRIPTION_NAME", "token": "TOKEN", "url": "URL", "outputDeadletterTopic": "projects/PROJECT_ID/topics/DEADLETTER_TOPIC_NAME", "javascriptTextTransformGcsPath": "PATH_TO_JAVASCRIPT_UDF_FILE", "javascriptTextTransformFunctionName": "JAVASCRIPT_FUNCTION", "batchCount": "BATCH_COUNT", "parallelism": "PARALLELISM", "disableCertificateValidation": "DISABLE_VALIDATION", "rootCaCertificatePath": "ROOT_CA_CERTIFICATE_PATH" }} Replace the following: PROJECT_ID: the Google Cloud project ID where you want to run the Dataflow job JOB_NAME: a unique job name of your choice LOCATION: the region where you want todeploy your Dataflow job—for example, us-central1 VERSION: the version of the template that you want to useYou can use the following values: latest to use the latest version of the template, which is available in the non-dated parent folder in the bucket— gs://dataflow-templates-REGION_NAME/latest/ the version name, like 2023-09-12-00_RC00, to use a specific version of the template, which can be found nested in the respective dated parent folder in the bucket— gs://dataflow-templates-REGION_NAME/ STAGING_LOCATION: the location for staging local files (for example, gs://your-bucket/staging) INPUT_SUBSCRIPTION_NAME: the Pub/Sub subscription name TOKEN: Splunk's Http Event Collector token URL: the URL path for Splunk's Http Event Collector (for example, DEADLETTER_TOPIC_NAME: the Pub/Sub topic name JAVASCRIPT_FUNCTION: the name of the JavaScript user-defined function (UDF) that you want to useFor example, if your JavaScript function code ismyTransform(inJson) { /*...do stuff...*/ }, then the function name ismyTransform. For sample JavaScript UDFs, seeUDF Examples. PATH_TO_JAVASCRIPT_UDF_FILE: the Cloud Storage URI of the .js file that defines the JavaScript user-definedfunction (UDF) you want to use—for example, gs://my-bucket/my-udfs/my_file.js BATCH_COUNT: the batch size to use for sending multiple events to Splunk PARALLELISM: the number of parallel requests to use for