Examples of CSVParser

au.com.bytecode.opencsv.CSVParser
A very simple CSV parser released under a commercial-friendly license. This just implements splitting a single line into fields. @author Glen Smith @author Rainer Pruy
au.com.bytecode.opencsv_voltpatches.CSVParser
A very simple CSV parser released under a commercial-friendly license. This just implements splitting a single line into fields. @author Glen Smith @author Rainer Pruy
com.Ostermiller.util.CSVParser
miller.org/utils/CSVLexer.html">ostermiller.org. CSV is a file format used as a portable representation of a database. Each line is one entry or record and the fields in a record are separated by commas. Commas may be preceded or followed by arbitrary space and/or tab characters which are ignored.
If field includes a comma or a new line, the whole field must be surrounded with double quotes. When the field is in quotes, any quote literals must be escaped by \" Backslash literals must be escaped by \\. Otherwise a backslash an the character following it will be treated as the following character, ie."\n" is equivelent to "n". Other escape sequences may be set using the setEscapes() method. Text that comes after quotes that have been closed but come before the next comma will be ignored.
Empty fields are returned as as String of length zero: "". The following line has three empty fields and three non-empty fields in it. There is an empty field on each end, and one in the middle. One token is returned as a space.
```
,second,, ,fifth,
```
Blank lines are always ignored. Other lines will be ignored if they start with a comment character as set by the setCommentStart() method.
An example of how CVSLexer might be used:
```
 CSVParser shredder = new CSVParser(System.in); shredder.setCommentStart("#;!"); shredder.setEscapes("nrtf", "\n\r\t\f"); String t; while ((t = shredder.nextValue()) != null) { System.out.println("" + shredder.lastLineNumber() + " " + t); } 
```
Some applications do not output CSV according to the generally accepted standards and this parse may not be able to handle it. One such application is the Microsoft Excel spreadsheet. A separate class must be use to read Excel CSV. @see com.Ostermiller.util.ExcelCSVParser
com.asakusafw.runtime.io.csv.CsvParser
A simple CSV parser. @since 0.2.4 @version 0.4.0
com.fasterxml.jackson.dataformat.csv.CsvParser
{@link JsonParser} implementation used to expose CSV documentsin form that allows other Jackson functionality to deal with it.
Implementation is based on a state-machine that pulls information using {@link CsvReader}.
com.knowgate.misc.CSVParser

Delimited Text Parser

Parses a delimited text file into a memory array
@author Sergio Montoro Ten @version 6.0
com.manning.hip.ch3.csv.CSVParser
A very simple CSV parser released under a commercial-friendly license. This just implements splitting a single line into fields. @author Glen Smith @author Rainer Pruy
org.apache.commons.csv.CSVParser
.ietf.org/html/rfc4180" target="_blank">RFC 4180 format.

To parse CSV input in a format like Excel, you write:
```
 CSVParser parser = CSVParser.parse(csvData, CSVFormat.EXCEL); for (CSVRecord csvRecord : parser) { ... } 
```
If the predefined formats don't match the format at hands, custom formats can be defined. More information about customising CSVFormats is available in {@link CSVFormat CSVFormat JavaDoc}.

Parsing into memory

If parsing record wise is not desired, the contents of the input can be read completely into memory.
```
 Reader in = new StringReader("a;b\nc;d"); CSVParser parser = new CSVParser(in, CSVFormat.EXCEL); List<CSVRecord> list = parser.getRecords(); 
```
There are two constraints that have to be kept in mind:
1. Parsing into memory starts at the current position of the parser. If you have already parsed records from the input, those records will not end up in the in memory representation of your CSV data.
2. Parsing into memory may consume a lot of system resources depending on the input. For example if you're parsing a 150MB file of CSV data the contents will be read completely into memory.
Notes

Internal parser state is completely covered by the format and the reader-state.
@version $Id: CSVParser.java 1617069 2014-08-10 08:53:42Z britter $ @see package documentation for more details
org.apache.jena.atlas.csv.CSVParser
Written specifically to handle SPARQL results CSv files. Replace with a real parser (e.g. Apache Commons CSV when released)
org.beangle.commons.csv.internal.CsvParser
A very simple CSV parser released under a commercial-friendly license. This just implements splitting a single line into fields. @author Glen Smith @author Rainer Pruy
org.beangle.util.csv.internal.CsvParser
A very simple CSV parser released under a commercial-friendly license. This just implements splitting a single line into fields. @author Glen Smith @author Rainer Pruy
org.dbcooper.io.CsvParser
Parse CSV data from lines.
This class parses comma-separated, optionally quoted data from a String and returns the parsed fields as an array of Strings.

The set of quote characters and the field delimiter character are configurable.

The class can optionally trim the fields with String.trim() before returning them.
org.dbunit.dataset.csv.CsvParser
@author fede @author Last changed by: $Author: gommma $ @version $Revision: 825 $ $Date: 2008-10-05 19:40:31 +0200 (dom, 05 ott 2008) $ @since 2.2 (Sep 12, 2004)
org.drools.decisiontable.parser.csv.CsvParser
Csv implementation. This implementation removes empty "cells" at the end of each line. Different CSV tools may or may not put heaps of empty cells in. @author Michael Neale
org.fastlsh.parsers.CSVParser
This class is used to parse a CSV file that encodes dense vectors. Each line of the file should encode data point. First should come the id of the point, then the delimiter, followed by a delimited sequence of doubles.
org.jamesii.core.data.runtime.CSVParser
.ietf.org/html/rfc4180'>RFC 4180: “Spaces are considered part of a field and should not be ignored.”)

There is one exception to the commonly-accepted parsing rules: Embedded line breaks in a quoted field are not parsed but instead interpreted as the premature end of a record. This was a deliberate decision given the scope of this parser and the fact that it parses only a single line of input. @author Johannes Rössel

Examples of org.apache.commons.csv.CSVParser

        }
    }


    @Test
    public void testCSVUpsertWithBogusColumn() throws Exception {
        CSVParser parser = null;
        PhoenixConnection conn = null;
        try {
            // Create table
            String statements = "CREATE TABLE IF NOT EXISTS " + STOCK_TABLE
                    + "(SYMBOL VARCHAR NOT NULL PRIMARY KEY, COMPANY VARCHAR);";
            conn = DriverManager.getConnection(getUrl())
                    .unwrap(PhoenixConnection.class);
            PhoenixRuntime.executeStatements(conn,
                    new StringReader(statements), null);


            // Upsert CSV file, not strict
            CSVCommonsLoader csvUtil = new CSVCommonsLoader(conn, STOCK_TABLE,
                    Arrays.asList(STOCK_COLUMNS_WITH_BOGUS), false);
            csvUtil.upsert(new StringReader(STOCK_CSV_VALUES));


            // Compare Phoenix ResultSet with CSV file content
            PreparedStatement statement = conn
                    .prepareStatement("SELECT SYMBOL, COMPANY FROM "
                            + STOCK_TABLE);
            ResultSet phoenixResultSet = statement.executeQuery();
            parser = new CSVParser(new StringReader(STOCK_CSV_VALUES),
                    csvUtil.getFormat());
            for (CSVRecord record : parser) {
                assertTrue(phoenixResultSet.next());
                assertEquals(record.get(0), phoenixResultSet.getString(1));
                assertNull(phoenixResultSet.getString(2));
            }


            assertFalse(phoenixResultSet.next());
        } finally {
            if (parser != null)
                parser.close();
            if (conn != null)
                conn.close();
        }
    }

Examples of org.apache.commons.csv.CSVParser

        }
    }


    @Test
    public void testCSVUpsertWithAllColumn() throws Exception {
        CSVParser parser = null;
        PhoenixConnection conn = null;
        try {
            // Create table
            String statements = "CREATE TABLE IF NOT EXISTS " + STOCK_TABLE
                    + "(SYMBOL VARCHAR NOT NULL PRIMARY KEY, COMPANY VARCHAR);";
            conn = DriverManager.getConnection(getUrl())
                    .unwrap(PhoenixConnection.class);
            PhoenixRuntime.executeStatements(conn,
                    new StringReader(statements), null);


            // Upsert CSV file
            CSVCommonsLoader csvUtil = new CSVCommonsLoader(conn, STOCK_TABLE,
                    Arrays.asList("FOO", "BAR"), false);


            try {
                csvUtil.upsert(new StringReader(STOCK_CSV_VALUES));
                fail();
            } catch (SQLException e) {
                assertTrue(
                        e.getMessage(),
                        e.getMessage()
                                .contains(
                                        "ERROR 504 (42703): Undefined column. columnName=STOCK_SYMBOL.[FOO, BAR]"));
            }
        } finally {
            if (parser != null)
                parser.close();
            if (conn != null)
                conn.close();
        }
    }

Examples of org.apache.commons.csv.CSVParser

        }
    }


    @Test
    public void testCSVUpsertWithBogusColumnStrict() throws Exception {
        CSVParser parser = null;
        PhoenixConnection conn = null;
        try {
            // Create table
            String statements = "CREATE TABLE IF NOT EXISTS " + STOCK_TABLE
                    + "(SYMBOL VARCHAR NOT NULL PRIMARY KEY, COMPANY VARCHAR);";
            conn = DriverManager.getConnection(getUrl())
                    .unwrap(PhoenixConnection.class);
            PhoenixRuntime.executeStatements(conn,
                    new StringReader(statements), null);


            // Upsert CSV file
            CSVCommonsLoader csvUtil = new CSVCommonsLoader(conn, STOCK_TABLE,
                    Arrays.asList(STOCK_COLUMNS_WITH_BOGUS), true);
            try {
                csvUtil.upsert(new StringReader(STOCK_CSV_VALUES));
                fail();
            } catch (SQLException e) {
                assertTrue(
                        e.getMessage(),
                        e.getMessage()
                                .contains(
                                        "ERROR 504 (42703): Undefined column. columnName=STOCK_SYMBOL.BOGUS"));
            }
        } finally {
            if (parser != null)
                parser.close();
            if (conn != null)
                conn.close();
        }
    }

Examples of org.apache.commons.csv.CSVParser

        }
    }


    @Test
    public void testAllDatatypes() throws Exception {
        CSVParser parser = null;
        PhoenixConnection conn = null;
        try {
            // Create table
            String statements = "CREATE TABLE IF NOT EXISTS "
                    + DATATYPE_TABLE
                    + " (CKEY VARCHAR NOT NULL PRIMARY KEY,"
                    + "  CVARCHAR VARCHAR, CINTEGER INTEGER, CDECIMAL DECIMAL(31,10), CUNSIGNED_INT UNSIGNED_INT, CBOOLEAN BOOLEAN, CBIGINT BIGINT, CUNSIGNED_LONG UNSIGNED_LONG, CTIME TIME, CDATE DATE);";
            conn = DriverManager.getConnection(getUrl())
                    .unwrap(PhoenixConnection.class);
            PhoenixRuntime.executeStatements(conn,
                    new StringReader(statements), null);


            // Upsert CSV file
            CSVCommonsLoader csvUtil = new CSVCommonsLoader(conn,
                    DATATYPE_TABLE, Collections.<String> emptyList(), true);
            csvUtil.upsert(new StringReader(DATATYPES_CSV_VALUES));


            // Compare Phoenix ResultSet with CSV file content
            PreparedStatement statement = conn
                    .prepareStatement("SELECT CKEY, CVARCHAR, CINTEGER, CDECIMAL, CUNSIGNED_INT, CBOOLEAN, CBIGINT, CUNSIGNED_LONG, CTIME, CDATE FROM "
                            + DATATYPE_TABLE);
            ResultSet phoenixResultSet = statement.executeQuery();
            parser = new CSVParser(new StringReader(DATATYPES_CSV_VALUES),
                    csvUtil.getFormat());


            for (CSVRecord record : parser) {
                assertTrue(phoenixResultSet.next());
                int i = 0;
                int size = record.size();
                for (String value : record) {
                    assertEquals(value, phoenixResultSet.getObject(i + 1)
                            .toString().toUpperCase());
                    if (i < size - 2)
                        break;
                    i++;
                }
                // special case for matching date, time values
                assertEquals(DateUtil.parseTime(record.get(8)),
                        phoenixResultSet.getTime("CTIME"));
                assertEquals(DateUtil.parseDate(record.get(9)),
                        phoenixResultSet.getDate("CDATE"));
            }


            assertFalse(phoenixResultSet.next());
        } finally {
            if (parser != null)
                parser.close();
            if (conn != null)
                conn.close();
        }
    }

Examples of org.apache.commons.csv.CSVParser

        }
    }


    @Test
    public void testCSVCommonsUpsertEncapsulatedControlChars() throws Exception {
        CSVParser parser = null;
        PhoenixConnection conn = null;
        try {
            // Create table
            String statements = "CREATE TABLE IF NOT EXISTS "
                    + ENCAPSULATED_CHARS_TABLE
                    + "(MYKEY VARCHAR NOT NULL PRIMARY KEY, MYVALUE VARCHAR);";
            conn = DriverManager.getConnection(getUrl())
                    .unwrap(PhoenixConnection.class);
            PhoenixRuntime.executeStatements(conn,
                    new StringReader(statements), null);


            // Upsert CSV file
            CSVCommonsLoader csvUtil = new CSVCommonsLoader(conn,
                    ENCAPSULATED_CHARS_TABLE, Collections.<String> emptyList(),
                    true);
            csvUtil.upsert(new StringReader(
                    CSV_VALUES_ENCAPSULATED_CONTROL_CHARS_WITH_HEADER));


            // Compare Phoenix ResultSet with CSV file content
            PreparedStatement statement = conn
                    .prepareStatement("SELECT MYKEY, MYVALUE FROM "
                            + ENCAPSULATED_CHARS_TABLE);
            ResultSet phoenixResultSet = statement.executeQuery();
            parser = new CSVParser(new StringReader(
                    CSV_VALUES_ENCAPSULATED_CONTROL_CHARS_WITH_HEADER),
                    csvUtil.getFormat());
            for (CSVRecord record : parser) {
                assertTrue(phoenixResultSet.next());
                int i = 0;
                for (String value : record) {
                    assertEquals(value, phoenixResultSet.getString(i + 1));
                    i++;
                }
            }


            assertFalse(phoenixResultSet.next());
        } finally {
            if (parser != null)
                parser.close();
            if (conn != null)
                conn.close();
        }
    }

Examples of org.apache.commons.csv.CSVParser

Examples of org.apache.jena.atlas.csv.CSVParser

        return vars ;
    }
    
    public static boolean booleanFromCSV(InputStream in)
    {
        CSVParser parser = CSVParser.create(in) ;
        final List<Var> vars = vars(parser) ;
        if ( vars.size() != 1 ) {
            throw new ARQException("CSV Boolean Results malformed: variables line='"+vars+"'") ;
        }
        if ( ! vars.get(0).getName().equals("_askResult")) {
            FmtLog.warn(log, "Boolean result variable is '%s', not '_askResult'", vars.get(0).getName()) ; 
        }
        
        
        List<String> line = parser.parse1() ;
        if ( line.size() != 1 ) {
            throw new ARQException("CSV Boolean Results malformed: data line='"+line+"'") ;
        }
        String str = line.get(0) ;
        boolean b ;
        if ( str.equalsIgnoreCase("true") || str.equalsIgnoreCase("yes") )
            b = true ;
        else if (str.equalsIgnoreCase("false") || str.equalsIgnoreCase("no"))
            b = false;
        else {
            throw new ARQException("CSV Boolean Results malformed, expected one of - true yes false no - but got " + str);
            }
        
        List<String> line2 = parser.parse1() ;
        if ( line2 != null ) {
            FmtLog.warn(log, "Extra rows: first is "+line2) ;
        }
        return b ;
    }

Examples of CSVParser

Parsing into memory

Notes

Examples of org.apache.commons.csv.CSVParser

Examples of org.apache.commons.csv.CSVParser

Examples of org.apache.commons.csv.CSVParser

Examples of org.apache.commons.csv.CSVParser

Examples of org.apache.commons.csv.CSVParser

Examples of org.apache.commons.csv.CSVParser

Examples of org.apache.commons.csv.CSVParser

Examples of org.apache.jena.atlas.csv.CSVParser

Examples of org.apache.jena.atlas.csv.CSVParser

Examples of org.apache.jena.atlas.csv.CSVParser