Hendry Suwanda hendrysuwanda

## LaporanTagihan.txt


LAPORAN DAFTAR PELUNASAN KOLETKOR
AGEN PT. ARTIVISI INTERMEDIA
=====================================================================================================================

KODE KOLEKTOR    : 0001
NAMA KOLEKTOR    : JOJO

+------+--------------+---------------------------+---------+-------------+-------------+-------------+-------------+

## LaporanTagihan.txt


LAPORAN DAFTAR PELUNASAN KOLETKOR
AGEN PT. ARTIVISI INTERMEDIA
=====================================================================================================================

KODE KOLEKTOR    : 0001
NAMA KOLEKTOR    : JOJO

+------+--------------+---------------------------+---------+-------------+-------------+-------------+-------------+

## SparkCopyPostgres.scala
import java.io.InputStream

import org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils
import org.apache.spark.sql.{ DataFrame, Row }

import org.postgresql.copy.CopyManager
import org.postgresql.core.BaseConnection

val jdbcUrl = s"jdbc:postgresql://..." // db credentials elided
val connectionProperties = {

## check_pythons_installation_path.py
>>> import os
>>> import sys
>>> os.path.dirname(sys.executable)
'C:\\Python25'

## print_an_array_using_lambda_exp.java
Arrays.stream(values).forEach(i -> System.out.println(Integer.toUnsignedString(i, 16)));

Arrays.stream(values)
      .mapToObj(i -> Integer.toUnsignedString(i, 16))
      .forEach(System.out::println);

String[] nums = {"three","two","one"};
Arrays.stream(nums).forEach(num -> System.out.println(num));

IntStream.of(values)

## oracle_generate_date_between_2_date_ranges.sql
select to_date('20032015','ddMMyyyy') + rownum -1  price_date
 from all_objects
 where rownum <= to_date('20042015','ddMMyyyy')-to_date('20032015','ddMMyyyy')+1

## java_read_stdin.java
static class Reader
    {
        final private int BUFFER_SIZE = 1 << 16;
        private DataInputStream din;
        private byte[] buffer;
        private int bufferPointer, bytesRead;

        public Reader()
        {
            din = new DataInputStream(System.in);

## simple_hive_query_consume_huge_yarn_resources.md

      
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                hendrysuwanda
                / simple_hive_query_consume_huge_yarn_resources.md
            
            
              Last active
              May 3, 2018 04:35
            
              
                Why this simple hive query consume huge yarn resource
              
          
    This is not partition table
Query

select * from lyr1_raw.CI_CUSTMAST_HS;
Total Record

11.957.465
Format File

Avro


	LAPORAN DAFTAR PELUNASAN KOLETKOR
	AGEN PT. ARTIVISI INTERMEDIA
	=====================================================================================================================

	KODE KOLEKTOR : 0001
	NAMA KOLEKTOR : JOJO

	+------+--------------+---------------------------+---------+-------------+-------------+-------------+-------------+
	import java.io.InputStream

	import org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils
	import org.apache.spark.sql.{ DataFrame, Row }

	import org.postgresql.copy.CopyManager
	import org.postgresql.core.BaseConnection

	val jdbcUrl = s"jdbc:postgresql://..." // db credentials elided
	val connectionProperties = {
	>>> import os
	>>> import sys
	>>> os.path.dirname(sys.executable)
	'C:\\Python25'
	Arrays.stream(values).forEach(i -> System.out.println(Integer.toUnsignedString(i, 16)));

	Arrays.stream(values)
	.mapToObj(i -> Integer.toUnsignedString(i, 16))
	.forEach(System.out::println);

	String[] nums = {"three","two","one"};
	Arrays.stream(nums).forEach(num -> System.out.println(num));

	IntStream.of(values)
	select to_date('20032015','ddMMyyyy') + rownum -1 price_date
	from all_objects
	where rownum <= to_date('20042015','ddMMyyyy')-to_date('20032015','ddMMyyyy')+1
	static class Reader
	{
	final private int BUFFER_SIZE = 1 << 16;
	private DataInputStream din;
	private byte[] buffer;
	private int bufferPointer, bytesRead;

	public Reader()
	{
	din = new DataInputStream(System.in);