![]() ![]() It's a best practice to include only underscores or capitalization in your table's column names. Note: If you receive errors when running AWS CLI commands, make sure that you use the most recent version of the AWS CLI. Following is an AWS Command Line Interface (AWS CLI) command to copy files: aws s3 cp s3://doc-example-bucket/myprefix//input// s3://doc-example-bucket/myprefix/input/ -recursive To resolve this issue, copy the files to a location that doesn't have double slashes. For example, the following LOCATION path returns empty results: s3://doc-example-bucket/myprefix//input// If the input LOCATION path is incorrect, Athena returns zero records.Īthena doesn't support table location paths that include a double slash (//). Verify the Amazon S3 LOCATION path for the input data. If you use a crawler, confirm that the crawler points to the Amazon Simple Storage Service (Amazon S3) bucket rather than to a file. Based on your use case, see the related section for common reasons and troubleshooting steps. Parameter: -credentials:username/passwordĮxample: Java -jar datacrow.jar -credentials:me/12345 Add additional information to log (debug) #Īppend -debug to the startup command of Data Crow to log debug information.There are several common reasons why the query might return zero records. This option can be used to skip the login dialog. Using this parameter will open the server login dialog on startup.Įxample: Java -jar datacrow.jar -client Specifying the login credentials # In case you want to connect to a Data Crow application server, you have to supply the client parameter. Please also read the user manual on the Data Crow Server. This can happen on platforms other than Windows.Įxample: Java -jar datacrow.jar -dir:/usr/home/datacrow Connection to a server # ![]() In case Data Crow can’t find the installation folder you can specify the installation folder yourself. You can also make the path relative to the Data Crow installation folder by supplying the path as ‘./’.Įxample: -userdir./data Specifying the installation directory # In short, use this parameter when you want to run multiple instances of Data Crow.Įxample: Java -jar datacrow.jar -userdir:C:\Data Crow\Data Data Crow will just use the folder as specified with this parameter, even without updating the before mentioned datacrow.properties file. This way you can have multiple shortcuts starting completely separate instances of Data Crow. If you want to run multiple instances of Data Crow you will have to supply the user folder as a startup parameter. Your selection is stored in a file called datacrow.properties and is stored in the user folder as dictated by your operating system. Data Crow might ask you to reconfirm your option and will use this folder by default from then onwards. After having specified this, Data Crow will remember the user folder you selected. Normally, when Data Crow starts, you will be asked to select a user folder. The user folder is the place where Data Crow will store all of its data. To use another database (for testing purposes for example) you can use the following parameter:Įxample: Java -jar datacrow.jar -db:dc_new Specifying the user folder # By default Data Crow uses a database named “dc”. Using a different database #ĭata Crow stores information on your items in a database. Start-up parameters #Įach of the parameters listed below can supplied when starting the datacrow.exe file or when using the Java command to start Data Crow. The various parameters are explained in the next paragraph. In addition to the above you can share the user folder between the various installations but have them using a different database per installation (-db parameter).In case you run multiple Data Crow instances on one machine you can either have them using the same user directory (sharing the same settings and data) or assign a separate user folder to each of the installations (-userdir parameter).This is established by selecting the same user folder on each of the Data Crow installations. Each of the Data Crow installations will point to this user folder. Set up a user folder on a network share.If you use multiple Data Crow installations you have several choices to make: Using multiple installations / environments # ![]() The easy part is to to start it from the Launcher or Start Menu (depending on your operating system) after having installed Data Crow using the installer. This section covers on how to start Data Crow. ![]()
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