Load Schedule Format

[Jayme Chouinard]

In general, a load schedule is an organized spreadsheet that helps to determine how loads are being distributed in the lighting system, as well as provides an idea of how many circuits are being used per application within a project.

Where LightDesigner is concerned, a valid load schedule in a spreadsheet form, OpenDocument Spreadsheet (*.ods) format, can be imported into a configuration using the "Import Load Schedule" feature found in the "Project" menu.

Importing the load schedule into LightDesigner allows you to batch create channels and even the spaces that include them. Imported channel data includes its name, the space where it exists, DMX and sACN patch data, energy management data, Demand Response election per channel, and User Data information.

The load schedule spreadsheet can have as much data and formatting as you require for your personal use, so long as the columns of the imported data have the required keywords that all begin on the same row. The order and sequence of the columns are insignificant.

Any extra columns of User Data to be imported should be designated using parenthesis around the column header , for example (My Channel Notes) as indicated in the sample above. All provided row data will import with a valid column header. In addition, when imported, the provided header name overwrites the User Data label in the property editor.

Other included data in the load schedule spreadsheet formatting is ignored by the import process. A simple way to see an example of a Load Schedule is to begin by exporting a load schedule from an existing configuration.

The import process could result in a conflict with pre-existing configuration data causing a "Import Load Schedule Conflicts" dialog to display for specification of replace, merge, or ignore. There are multiple reasons a conflict can occur, with a main reason being a duplicate object of the same name; importing a file twice will not create the objects in duplicate. Instead you are provided with a conflict dialog for disposition of which version of the same object you would like to maintain.

If you are submitting your P6 schedule to the United States Army Corps of Engineers (USACE) be forewarned. They will require you to convert your schedule to a USACE SDEF format. And, the SDEF file format is very particular about how the schedule should be cost loaded.

The USACE has a Quality Control System/Resident Management System (QCS/RMS) program they use for reporting schedule data and quality control. In order to import your schedule into QCS/RMS it must be in the USACE SDEF format.

Primavera P6 Professional has an XER to SDEF conversion program, so you are good. But further, know that the USACE SDEF format has specific requirements for cost loaded schedules. In particular, the cost loaded schedule must be fixed price or lumped sum.

We lump sum cost load a demonstration schedule by first assigning a lump sum resource to each activity, and second by entering the budgeted units of each respective activity, as displayed in Figure 3.

Now we are ready to convert our schedule. You may find the XER to SDEF converter program in a place similar to the below file structure: C:\Program Files\Oracle\Primavera P6\P6 Professional\18.80\Converter, Figure 4.

The USACE has specific requirements for Primavera P6 schedules. These USACE guidelines ensure the successful import of P6 schedules into their QCS/RMS schedule reporting program. The QCS/RMS program imports files that are in the USACE SDEF format.

Primavera P6 has an XER to SDEF file conversion program to expedite the process. But to include costs in the SDEF file remember to cost load the schedule using a lump sum labor resource. Yes, USACE has specific requirements on for cost loading the schedule using a lumped sum and fixed price contract. Again, create a lump sum labor resource and assign it to respective activities.

I am trying to create a Project(schedule) that has a manpower loading functions. I am almost there but I am stuck with trying to figure out how to see how many crew members I have on a certain days by suming them up.

It would be the sum of crew size for each individual date. So anytime one date appears within the start to finish date range and there is a crew assigned to that range I would like to sum only those crews.

I'm trying include a date range with counting the number of applicants within various depts, in certain date ranges, but it's saying incorrect argument set. =COUNTIFS(DISTINCT([Name of Requestor]:[Name of Requestor], [Submission Date]:[Submission Date], AND(@cell > DATE (2023, 9, 30), @cell

You can schedule queries to run on a recurring basis. Scheduled queries must bewritten in GoogleSQL,which can include data definition language (DDL)and data manipulation language (DML)statements. You can organize query results by date and time by parameterizingthe query string and destination table.

To create the transfer, you must either have the bigquery.transfers.update and bigquery.datasets.get permissions, or the bigquery.jobs.create, bigquery.transfers.get, and bigquery.datasets.get permissions.

To create or update scheduled queries run by a service account, you must haveaccess to that service account. For more information on granting users theservice account role, see Service Account userrole. To select a serviceaccount in the scheduled query UI of the Google Cloud console, you need thefollowing IAM permissions:

If you are using a DDL or DML query, then in the Google Cloud console, choosethe Processing location or region. Processing location is required for DDLor DML queries that create the destination table.

If the destination table does exist and you are using the WRITE_APPENDwrite preference, BigQuery appends data tothe destination table and tries to map the schema.BigQuery automatically allows field additions and reordering, andaccommodates missing optional fields. If the table schema changes so muchbetween runs that BigQuery can't process the changesautomatically, the scheduled query fails.

Queries can reference tables from different projects and different datasets.When configuring your scheduled query, you don't need to include the destinationdataset in the table name. You specify the destination dataset separately.

Creating, truncating, or appending a destination table only happens ifBigQuery is able to successfully complete the query. Creation,truncation, or append actions occur as one atomic update upon job completion.

Scheduled queries can create clustering on new tables only, when the table ismade with a DDL CREATE TABLE AS SELECT statement. SeeCreating a clustered table from a query resulton the Using data definition language statementspage.

Scheduled queries can create partitioned or non-partitioned destination tables.Partitioning is available in the Google Cloud console, bq command-line tool, and APIsetup methods. If you're using a DDL or DML query with partitioning, leave theDestination table partitioning field blank.

To use ingestion time partitioning, leave theDestination table partitioning field blank and indicate the datepartitioning in the destination table's name. For example,mytable$run_date. For more information, seeParameter templating syntax.

You can set up a scheduled query to authenticate as a service account. Aservice account is a Google Account associated with your Google Cloud project. Theservice account can run jobs, such as scheduled queries or batch processingpipelines, with its own service credentials rather than an end user'scredentials.

You can set up the scheduled query with a serviceaccount. If you signed in with a federated identity,then a service account is required to create a transfer. If you signedin with a Google Account, then aservice account for the transfer is optional.

When you specify a CMEK with a transfer, the BigQuery Data Transfer Service applies theCMEK to any intermediate on-disk cache of ingested data so that the entiredata transfer workflow is CMEK compliant.

You cannot update an existing transfer to add a CMEK if the transfer was notoriginally created with a CMEK. For example, you cannot change a destinationtable that was originally default encrypted to now be encrypted with CMEK.Conversely, you also cannot change a CMEK-encrypted destination tableto have a different type of encryption.

You can update a CMEK for a transfer if the transfer configuration wasoriginally created with a CMEK encryption. When you update a CMEK for a transferconfiguration, the BigQuery Data Transfer Service propagates the CMEK to the destinationtables at the next run of the transfer, where the BigQuery Data Transfer Servicereplaces any outdated CMEKs with the new CMEK during the transfer run.For more information, see Update a transfer.

You can also use project default keys.When you specify a project default key with a transfer, the BigQuery Data Transfer Serviceuses the project default key as the default key for any new transferconfigurations.

Optional: CMEKIf you usecustomer-managed encryption keys,you can select Customer-managed key under Advanced options.A list of your available CMEKs appears for you to choose from. Forinformation about how customer-managed encryption keys (CMEKs)work with the BigQuery Data Transfer Service, see Specify encryption key with scheduled queries.

Authenticate as a service accountIf you have one or more service accounts associated with your Google Cloud project,you can associate a service account with your scheduled queryinstead of using your user credentials. Under Scheduled querycredential, click the menu to see a list of your available serviceaccounts. A service account is required if you are signed in as afederated identity.

For example, the following command creates a scheduled query namedMy Scheduled Query using the simple query SELECT 1 from mydataset.test.The destination table is mytable in the dataset mydataset. The scheduledquery is created in the default project:

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