how to convert csv to parquet file?
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You can use Apache Drill, as described in Convert a CSV File to Apache Parquet With Drill. You can change the dfs. tmp location by going to http://localhost:8047/storage/dfs (source: CSV and Parquet). The following code is an example using spark2.
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['Go to view> select the documents to be exported.', 'Click File > Export.', 'Now you can create a .csv extension file, fill desired name In the File name field.', 'or you can also select am existing file and replace its data with the exported data.']
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['Select: File - Save As... ... ', 'In the Save as dialog that appears, select File type Text CSV (. ... ', 'Click to enable the box next to Edit filter settings.', 'Click Save.']
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['Prepare the CSV file to have the fields in the same order as the MySQL table fields.', 'Remove the header row from the CSV (if any), so that only the data is in the file.', 'Go to the phpMyAdmin interface.', 'Select the table in the left menu.', 'Click the import button at the top.', 'Browse to the CSV file.']
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['Upload your JSON file by clicking the green button (or paste your JSON text / URL into the textbox)', '(Press the cog button on the right for advanced settings)', 'Download the resulting CSV file when prompted.', 'Open your CSV file in Excel (or Open Office)']
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['Right-click the table name in the object tree view.', 'Select Export.', 'Select CSV. The Export Data window shows up.', 'Click Format tab.', 'Select Format as: CSV.', 'Enter a file name and location.', 'Click Columns tab.', 'Check the columns you wish to export.']
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csv file, and click File (or Office button) > Save As. 2. In the opening dialog box, specify the destination folder that you will save the . csv file into, click the Save as type box and select CSV (Comma delimited) (*.
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['Installing SSConvert to convert xls file to csv file in Linux. For REDHAT ,CENTOS and FEDORA. yum install gnumeric. yum install gnumeric. For UBUNTU and DEBIAN. ... ', 'Installing unoconv program to convert xls file to csv file in Linux. For REDHAT ,CENTOS and FEDORA. yum install unoconv. yum install unoconv. For UBUNTU and DEBIAN.']
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['Step 1: Prepare CSV file. ... ', 'Step 2: Create Workspace Models. ... ', 'Step 3: Pull CSV File into RDF. ... ', 'Step 4: Confirm data property URIs and RDF structure. ... ', 'Step 5: Convert temporary RDF into VIVO/ISF ontology using SPARQL CONSTRUCT. ... ', 'Step 6: Load to Webapp.']
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Click the File option, and then click Save As. The Save As dialog box will appear. In the Save as type box, choose the format CSV (Comma delimited). Browse to the location where you want to save the new text file, and then click Save.
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Choose Open > Import. This starts the wizard! In the Import and Export Wizard, click Import from another program or file, and the click Next. To import a CSV file, choose Comma Separated Values (Windows).
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['Write data from R to a txt file: write.table(my_data, file = “my_data.txt”, sep = “”)', 'Write data from R to a csv file: write.csv(my_data, file = “my_data.csv”)']
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['Select File > Import > Import Tabular Data, or Insert > Table Objects > Import Tabular Data.', 'Browse for the file you want or enter its name in the text box.', 'Select the delimiter used when the file was saved as delimited text.']
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['Get a list of CSV files from a local directory.', 'ExecuteScript processor to convert them to JSON, use the header row as the JSON schema, and set index/type attribute on each flow file.', 'SplitJson processor to convert JSON array of objects to individual JSON records.']
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CSV data can be converted to JSON via a POJO using Jackson. If a POJO is not already defined or required, you can always use the Java Collection classes to store parsed data and later convert it to JSON.
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['Step 1: Create Output directory. mkdir /root/local_bdp/posts/export-hive-data-into-file/output.', "Step 2: Go to hive CLI and execute the following code. INSERT OVERWRITE LOCAL DIRECTORY '/root/local_bdp/posts/export-hive-data-into-file/output' ROW FORMAT DELIMITED. FIELDS TERMINATED BY ':' SELECT * FROM bdp."]
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HEADER. At a high level, the parquet file consists of header, one or more blocks and footer. The parquet file format contains a 4-byte magic number in the header (PAR1) and at the end of the footer.