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Flux API for data movement with MarkLogic
/*
* Copyright © 2024 MarkLogic Corporation. All Rights Reserved.
*/
package com.marklogic.flux.impl;
import com.marklogic.spark.Util;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Row;
import picocli.CommandLine;
import java.util.List;
public class Preview {
@CommandLine.Option(names = "--preview", description = "Show up to the first N records of data read by the command.")
private int numberRows;
@CommandLine.Option(names = "--preview-drop", description = "Specify one or more columns to drop when using --preview.", arity = "*")
private List columnsToDrop;
@CommandLine.Option(names = "--preview-list", description = "Preview the data in a list instead of in a table.")
private boolean displayAsList;
@CommandLine.Option(names = "--preview-schema", description = "Show the schema of the data read by the command.")
private boolean showSchema;
public void showPreview(Dataset dataset) {
Dataset datasetPreview = dataset;
if (columnsToDrop != null && !columnsToDrop.isEmpty()) {
datasetPreview = datasetPreview.drop(columnsToDrop.toArray(new String[]{}));
}
if (showSchema && Util.MAIN_LOGGER.isInfoEnabled()) {
Util.MAIN_LOGGER.info("Spark schema of the data read by this command:\n{}", datasetPreview.schema().prettyJson());
}
if (numberRows > 0) {
// Not truncating at all. For now, users can drop columns if their values are too long.
datasetPreview.show(numberRows, Integer.MAX_VALUE, displayAsList);
}
}
public boolean isPreviewRequested() {
return numberRows > 0 || showSchema;
}
}
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