use of com.google.api.ads.admanager.axis.v202205.ColumnType in project etl by linkedpipes.
the class ParserXls method parseSheet.
/**
* Parse given sheet.
*
* @param wb
* @param sheetIndex
*/
public void parseSheet(Workbook wb, Integer sheetIndex) throws ParseFailed, LpException {
LOG.debug("parseSheet({}, {})", wb.getSheetName(sheetIndex), sheetIndex);
// for every row
final Sheet sheet = wb.getSheetAt(sheetIndex);
if (config.numberOfStartLinesToIgnore > sheet.getLastRowNum()) {
// no data to parse
return;
}
// generate column names
int startRow = config.numberOfStartLinesToIgnore;
List<String> columnNames;
// Size of original header from file, used to expand/strip content.
Integer tableHeaderSize = null;
if (config.hasHeader) {
// parse line for header
final Row row = sheet.getRow(startRow++);
if (row == null) {
throw new ParseFailed("Header row is null!");
}
final int columnStart = row.getFirstCellNum();
final int columnEnd = row.getLastCellNum();
columnNames = new ArrayList<>(columnEnd);
for (int columnIndex = columnStart; columnIndex < columnEnd; columnIndex++) {
final Cell cell = row.getCell(columnIndex);
if (cell == null) {
// The cell is missing, this happen for example if
// document is exported from gdocs. We just log and use
// 'null' as cell value.
LOG.info("Header cell is null ({}, {}) on '{}'!", startRow - 1, columnIndex, wb.getSheetName(sheetIndex));
columnNames.add(null);
} else {
final String name = this.getCellValue(cell);
columnNames.add(name);
}
}
if (config.stripHeader) {
// Remove trailing null values.
int initialSize = columnNames.size();
for (int i = columnNames.size() - 1; i > 0; --i) {
if (columnNames.get(i) == null) {
columnNames.remove(i);
} else {
// Non null value.
break;
}
}
LOG.info("Removal of nulls changed header size from {} to {}", initialSize, columnNames.size());
} else {
LOG.debug("Header size {}", columnNames.size());
}
// global names will be added later
tableHeaderSize = columnNames.size();
} else {
columnNames = null;
}
//
// prepare static cells
//
final List<String> namedCells = new LinkedList<>();
for (NamedCell_V1 namedCell : config.namedCells) {
final Row row = sheet.getRow(namedCell.getRowNumber() - 1);
if (row == null) {
throw new ParseFailed("Row for named cell is null! (" + namedCell.getName() + ")");
}
final Cell cell = row.getCell(namedCell.getColumnNumber() - 1);
if (cell == null) {
throw new ParseFailed("Cell for named cell is null! (" + namedCell.getName() + ")");
}
// get value and add to namedCells
final String value = getCellValue(cell);
LOG.debug("static cell {} = {}", namedCell.getName(), value);
namedCells.add(value);
}
//
if (config.rowLimit == null) {
LOG.debug("Row limit: not used");
} else {
LOG.debug("Row limit: {}", config.rowLimit);
}
// set if for first time or if we use static row counter
if (!config.checkStaticRowCounter || rowNumber == 0) {
rowNumber = config.hasHeader ? 2 : 1;
}
// go
boolean headerGenerated = false;
final int dataEndAtRow;
if (config.rowLimit != null) {
// limit number of lines
dataEndAtRow = startRow + config.rowLimit;
} else {
// We increase by one, as we use less < dataEndAtRow,
// not <= dataEndAtRow
dataEndAtRow = sheet.getLastRowNum() + 1;
}
int skippedLinesCounter = 0;
for (Integer rowNumPerFile = startRow; rowNumPerFile < dataEndAtRow; ++rowNumber, ++rowNumPerFile) {
// skip till data
if (rowNumPerFile < config.numberOfStartLinesToIgnore) {
continue;
}
// get row
final Row row = sheet.getRow(rowNumPerFile);
if (row == null) {
continue;
}
// We use zero as the first column must be column 1.
final int columnStart = row.getFirstCellNum();
final int columnEnd = row.getLastCellNum();
// generate header
if (!headerGenerated) {
headerGenerated = true;
// use row data to generate types
final List<ColumnType> types = new ArrayList<>(columnEnd + namedCells.size());
// to always start at the first column.
for (int columnIndex = 0; columnIndex < columnEnd; columnIndex++) {
final Cell cell = row.getCell(columnIndex);
if (cell == null) {
types.add(null);
continue;
}
types.add(getCellType(cell));
}
// if header is presented.
if (columnNames == null) {
LOG.info("Generating column names from: {} to: {}", columnStart, columnEnd);
columnNames = new ArrayList<>(columnEnd);
// Generate column names, first column is col1. We start
// from 0 as we always want start with left most column.
// See comment before types generation for more info.
int columnIndex = 0;
for (int i = 0; i < columnEnd; i++) {
columnNames.add("col" + Integer.toString(++columnIndex));
}
tableHeaderSize = columnNames.size();
} else {
// expand types row. The header might be wider then the
// first data row.
fitToSize(types, tableHeaderSize);
}
// add user defined names
for (NamedCell_V1 item : config.namedCells) {
columnNames.add(item.getName());
types.add(ColumnType.String);
}
// add global types and names
columnNames.add(SHEET_COLUMN_NAME);
types.add(ColumnType.String);
// configure
TableToRdfConfigurator.configure(tableToRdf, columnNames, (List) types, startRow);
}
// Prepare row.
final List<String> parsedRow = new ArrayList<>(columnEnd + namedCells.size());
// parse columns
for (int columnIndex = 0; columnIndex < columnEnd; columnIndex++) {
final Cell cell = row.getCell(columnIndex);
if (cell == null) {
parsedRow.add(null);
} else {
parsedRow.add(getCellValue(cell));
}
}
// Check for row null values - this can happen for excel exported
// from google docs, where the number oof declared data rows
// is bigger then it should be together with fitToSize we would
// generate non-existing columns. In order to prevent this
// we scan an ignore lines with null values only.
boolean isEmpty = true;
for (Object value : parsedRow) {
if (value != null) {
isEmpty = false;
break;
}
}
if (isEmpty) {
++skippedLinesCounter;
continue;
}
// expand row if needed
fitToSize(parsedRow, tableHeaderSize);
// add named columns first !!
parsedRow.addAll(namedCells);
// add global data
parsedRow.add(wb.getSheetName(sheetIndex));
// convert into table
tableToRdf.paserRow((List) parsedRow, rowNumber);
if ((rowNumPerFile % 1000) == 0) {
LOG.debug("Row number {} processed.", rowNumPerFile);
}
}
//
if (skippedLinesCounter != 0) {
LOG.info("Some lines ({}) were skipped.", skippedLinesCounter);
}
}
use of com.google.api.ads.admanager.axis.v202205.ColumnType in project molgenis-emx2 by molgenis.
the class RefAndRefArrayTestExample method createRefAndRefArrayTestExample.
public static void createRefAndRefArrayTestExample(SchemaMetadata schema) {
ColumnType[] columnTypes = new ColumnType[] { UUID, STRING, BOOL, INT, DECIMAL, TEXT, DATE, DATETIME };
for (ColumnType columnType : columnTypes) {
String aTableName = columnType.toString() + "_A";
String fieldName = "AKeyOf" + columnType;
schema.create(table(aTableName).add(column(fieldName).setType(columnType).setPkey()));
String bTableName = columnType.toString() + "_B";
String refFromBToA = "RefToAKeyOf" + columnType;
String refArrayFromBToA = "RefArrayToAKeyOf" + columnType;
schema.create(table(bTableName).add(column(refFromBToA).setType(REF).setRefTable(aTableName)).add(column(refArrayFromBToA).setType(REF_ARRAY).setRefTable(aTableName)));
}
}
use of com.google.api.ads.admanager.axis.v202205.ColumnType in project molgenis-emx2 by molgenis.
the class ArrayTypeTestExample method createSimpleTypeTest.
public static void createSimpleTypeTest(SchemaMetadata schema) {
TableMetadata typeTestTable = schema.create(table("ArrayTypeTest"));
typeTestTable.add(column("id").setPkey());
ColumnType[] columnTypes = new ColumnType[] { UUID_ARRAY, STRING_ARRAY, BOOL_ARRAY, INT_ARRAY, DECIMAL_ARRAY, TEXT_ARRAY, DATE_ARRAY, DATETIME_ARRAY };
for (ColumnType columnType : columnTypes) {
typeTestTable.add(column("Test_" + columnType.toString().toLowerCase()).setType(columnType).setRequired(true));
typeTestTable.add(column("Test_" + columnType.toString().toLowerCase() + "_nillable").setType(columnType));
}
}
use of com.google.api.ads.admanager.axis.v202205.ColumnType in project molgenis-emx2 by molgenis.
the class SimpleTypeTestExample method createSimpleTypeTest.
public static void createSimpleTypeTest(SchemaMetadata schema) {
TableMetadata typeTestTable = table(TYPE_TEST).add(column("id").setPkey());
ColumnType[] columnTypes = new ColumnType[] { UUID, STRING, BOOL, INT, DECIMAL, TEXT, DATE, DATETIME };
for (ColumnType columnType : columnTypes) {
typeTestTable.add(column("Test " + columnType.toString().toLowerCase()).setType(columnType).setRequired(true));
typeTestTable.add(column("Test " + columnType.toString().toLowerCase() + " nillable").setType(columnType));
}
schema.create(typeTestTable);
}
use of com.google.api.ads.admanager.axis.v202205.ColumnType in project googleads-java-lib by googleads.
the class Pql method combineResultSets.
/**
* Combines the first and second result sets, if and only if, the columns of both result sets
* match.
*
* @throws IllegalArgumentException if the columns of the first result set don't match the second
*/
public static ResultSet combineResultSets(ResultSet first, ResultSet second) {
Function<ColumnType, String> columnTypeToString = new Function<ColumnType, String>() {
public String apply(ColumnType input) {
return input.getLabelName();
}
};
List<String> firstColumns = Lists.transform(Lists.newArrayList(first.getColumnTypes()), columnTypeToString);
List<String> secondColumns = Lists.transform(Lists.newArrayList(second.getColumnTypes()), columnTypeToString);
if (!firstColumns.equals(secondColumns)) {
throw new IllegalArgumentException(String.format("First result set columns [%s] do not match second columns [%s]", Joiner.on(",").join(firstColumns), Joiner.on(",").join(secondColumns)));
}
List<Row> combinedRows = Lists.newArrayList(first.getRows());
if (second.getRows() != null) {
combinedRows.addAll(Lists.newArrayList(second.getRows()));
}
ResultSet combinedResultSet = new ResultSet();
combinedResultSet.getColumnTypes().addAll(first.getColumnTypes());
combinedResultSet.getRows().addAll(combinedRows);
return combinedResultSet;
}
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