com.univocity.parsers.common.processor.ColumnSplitter Maven / Gradle / Ivy
/*******************************************************************************
* Copyright 2014 uniVocity Software Pty Ltd
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
******************************************************************************/
package com.univocity.parsers.common.processor;
import com.univocity.parsers.common.*;
import java.util.*;
/**
* A utility class used split and store values columns parsed from each row in a {@link RowProcessor}. Used to centralize common code used by implementations
* of {@link ColumnReaderProcessor}, namely:
* {@link ColumnProcessor}, {@link ObjectColumnProcessor}, {@link BatchedColumnProcessor} and {@link BatchedObjectColumnProcessor}.
*
* @see ColumnReaderProcessor
* @see ColumnProcessor
* @see ObjectColumnProcessor
* @see BatchedColumnProcessor
* @see BatchedObjectColumnProcessor
* @see RowProcessor
*
* @author uniVocity Software Pty Ltd - [email protected]
*
* @param the type of values stored in the columns.
*/
class ColumnSplitter {
private List> columnValues;
private String[] headers = null;
private int expectedRowCount = 1000;
private long rowCount;
private long addNullsFrom;
/**
* Creates a splitter allocating a space for a give number of expected rows to be read
* @param expectedRowCount the expected number of rows to be parsed
*/
ColumnSplitter(int expectedRowCount) {
if (expectedRowCount <= 0) {
throw new IllegalArgumentException("Expected row count must be positive");
}
this.expectedRowCount = expectedRowCount;
}
/**
* Removes any column values previously processed
*/
void clearValues() {
addNullsFrom = rowCount;
this.columnValues = null;
}
/**
* Prepares to execute a column splitting process from the beginning.
* Removes any column values previously processed, as well as information about headers in the input. Resets row count to 0.
*/
void reset() {
this.columnValues = null;
this.headers = null;
addNullsFrom = 0L;
rowCount = 0L;
}
/**
* Returns the values processed for each column
* @return a list of lists. The stored lists correspond to the position of the column processed from the input; Each list
* contains the corresponding values parsed for a column, across multiple rows.
*/
List> getColumnValues() {
return columnValues;
}
/**
* Returns the headers of the input. This can be either the headers defined in {@link CommonSettings#getHeaders()}
* or the headers parsed in the input when {@link CommonSettings#getHeaders()} equals to {@code true}
* @return the headers of all records parsed.
*/
String[] getHeaders() {
return headers;
}
/**
* Initializes the list of column values, the headers of each column and which columns to read if fields
* have been selected using {@link CommonSettings#selectFields(String...)} or {@link CommonSettings#selectIndexes(Integer...)}
* @param context the current active parsing context, which will be used to obtain information about headers and selected fields.
*/
private void initialize(ParsingContext context) {
headers:
if (this.headers == null) {
String[] allHeaders = context.headers();
if (allHeaders == null) {
headers = ArgumentUtils.EMPTY_STRING_ARRAY;
break headers;
}
if (!context.columnsReordered()) {
this.headers = allHeaders;
break headers;
}
int[] selectedIndexes = context.extractedFieldIndexes();
final int last = Math.min(allHeaders.length, selectedIndexes.length);
this.headers = new String[selectedIndexes.length];
for (int i = 0; i < last; i++) {
headers[i] = allHeaders[selectedIndexes[i]];
}
}
columnValues = new ArrayList>(headers.length > 0 ? headers.length : 10);
}
/**
* Returns the header of a particular column
* @param columnIndex the index of the column whose header is to be obtained
* @return the name of the column at the given index, or null if there's no header defined for the given column index.
*/
String getHeader(int columnIndex) {
if (columnIndex < headers.length) {
return headers[columnIndex];
}
return null;
}
/**
* Splits the row and add stores the value of each column in its corresponding list in {@link #columnValues}
* @param row the row whose column values will be split
* @param context the current active parsing context.
*/
void addValuesToColumns(T[] row, ParsingContext context) {
if (columnValues == null) {
initialize(context);
}
if (columnValues.size() < row.length) {
int columnsToAdd = row.length - columnValues.size();
while (columnsToAdd-- > 0) {
long records = context.currentRecord() - addNullsFrom;
ArrayList values = new ArrayList(expectedRowCount < records ? (int) records : expectedRowCount);
//adding nulls to the values of a new row with more columns than parsed before.
//this ensures all columns will have the same number of values.
while (--records > 0) {
values.add(null);
}
columnValues.add(values);
}
}
for (int i = 0; i < row.length; i++) {
columnValues.get(i).add(row[i]);
}
//if we have more columns than what was parsed in the current row, we need to add nulls to the remaining columns.
if (row.length < columnValues.size()) {
for (int i = row.length; i < columnValues.size(); i++) {
columnValues.get(i).add(null);
}
}
rowCount++;
}
/**
* Fills a given map associating each column name to its list o values
* @param map the map to hold the values of each column
* @throws IllegalArgumentException if a column does not have a name associated to it. In this case, use {@link #putColumnValuesInMapOfIndexes(Map)} instead.
*/
void putColumnValuesInMapOfNames(Map> map) {
if (columnValues == null) {
return;
}
for (int i = 0; i < columnValues.size(); i++) {
String header = getHeader(i);
if (header == null) {
throw new DataProcessingException("Parsed input does not have header for column at index '" + i + "'. Parsed header names: " + Arrays.toString(getHeaders()), i);
}
map.put(header, columnValues.get(i));
}
}
/**
* Returns the values of a given column.
* @param columnIndex the position of the column in the input (0-based).
* @param columnType the type of data in that column
* @param the type of data in that column
* @return a list with all data stored in the given column
*/
List getColumnValues(int columnIndex, Class columnType){
if(columnIndex < 0){
throw new IllegalArgumentException("Column index must be positive");
}
if(columnIndex >= columnValues.size()){
throw new IllegalArgumentException("Column index must be less than " + columnValues.size() +". Got " + columnIndex);
}
return (List) columnValues.get(columnIndex);
}
/**
* Returns the values of a given column.
* @param columnName the name of the column in the input.
* @param columnType the type of data in that column
* @param the type of data in that column
* @return a list with all data stored in the given column
*/
List getColumnValues(String columnName, Class columnType){
int index = ArgumentUtils.indexOf(headers, columnName);
if(index == -1){
throw new IllegalArgumentException("No column named '" + columnName +"' has been found. Available column headers: " + Arrays.toString(headers));
}
return getColumnValues(index, columnType);
}
/**
* Fills a given map associating each column index to its list of values
* @param map the map to hold the values of each column
*/
void putColumnValuesInMapOfIndexes(Map> map) {
if (columnValues == null) {
return;
}
for (int i = 0; i < columnValues.size(); i++) {
map.put(i, columnValues.get(i));
}
}
/**
* Returns a map of column names and their respective list of values parsed from the input.
* @return a map of column names and their respective list of values.
*/
Map> getColumnValuesAsMapOfNames() {
Map> map = new HashMap>();
putColumnValuesInMapOfNames(map);
return map;
}
/**
* Returns a map of column indexes and their respective list of values parsed from the input.
* @return a map of column indexes and their respective list of values.
*/
Map> getColumnValuesAsMapOfIndexes() {
Map> map = new HashMap>();
putColumnValuesInMapOfIndexes(map);
return map;
}
}
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