Add a basic SQL example
Bradlee Speice
parent
45af64e68c
commit
f32e0b37f1
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@ -1,157 +0,0 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"sparkSql = (SparkSession.builder\n",
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" .master(\"local\")\n",
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" .appName(\"Kiva Exploration\")\n",
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" .getOrCreate())\n",
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"\n",
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"loans = sparkSql.read.format('json').load('kiva-data/loans.json')\n",
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"lenders = sparkSql.read.format('json').load('kiva-data/lenders.json')\n",
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"loans_lenders = sparkSql.read.format('json').load('kiva-data/loans_lenders.json')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[('activity', 'string'),\n",
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" ('arrears_amount', 'string'),\n",
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" ('basket_amount', 'bigint'),\n",
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" ('bonus_credit_eligibility', 'boolean'),\n",
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" ('borrowers',\n",
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" 'array<struct<first_name:string,gender:string,last_name:string,pictured:boolean>>'),\n",
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" ('currency_exchange_loss_amount', 'double'),\n",
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" ('delinquent', 'string'),\n",
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" ('description',\n",
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" 'struct<languages:array<string>,texts:struct<ar:string,en:string,es:string,fr:string,id:string,mn:string,pt:string,ru:string,vi:string>>'),\n",
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" ('funded_amount', 'bigint'),\n",
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" ('funded_date', 'string'),\n",
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" ('id', 'bigint'),\n",
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" ('image', 'struct<id:bigint,template_id:bigint>'),\n",
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" ('journal_totals', 'struct<bulkEntries:bigint,entries:bigint>'),\n",
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" ('lender_count', 'bigint'),\n",
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" ('loan_amount', 'bigint'),\n",
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" ('location',\n",
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" 'struct<country:string,country_code:string,geo:struct<level:string,pairs:string,type:string>,town:string>'),\n",
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" ('name', 'string'),\n",
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" ('paid_amount', 'string'),\n",
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" ('paid_date', 'string'),\n",
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" ('partner_id', 'bigint'),\n",
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" ('payments', 'array<string>'),\n",
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" ('planned_expiration_date', 'string'),\n",
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" ('posted_date', 'string'),\n",
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" ('sector', 'string'),\n",
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" ('status', 'string'),\n",
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" ('tags', 'array<struct<name:string>>'),\n",
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" ('terms',\n",
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" 'struct<disbursal_amount:double,disbursal_currency:string,disbursal_date:string,loan_amount:bigint,local_payments:array<struct<amount:double,due_date:string>>,loss_liability:struct<currency_exchange:string,currency_exchange_coverage_rate:double,nonpayment:string>,repayment_interval:string,repayment_term:bigint,scheduled_payments:array<struct<amount:double,due_date:string>>>'),\n",
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" ('themes', 'array<string>'),\n",
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" ('translator', 'struct<byline:string,image:bigint>'),\n",
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" ('use', 'string'),\n",
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" ('video',\n",
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" 'struct<id:bigint,thumbnailImageId:bigint,title:string,youtubeId:string>')]"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"loans.dtypes"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[('country_code', 'string'),\n",
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" ('image', 'struct<id:bigint,template_id:bigint>'),\n",
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" ('invitee_count', 'bigint'),\n",
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" ('inviter_id', 'string'),\n",
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" ('lender_id', 'string'),\n",
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" ('loan_because', 'string'),\n",
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" ('loan_count', 'bigint'),\n",
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" ('member_since', 'string'),\n",
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" ('name', 'string'),\n",
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" ('occupation', 'string'),\n",
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" ('occupational_info', 'string'),\n",
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" ('personal_url', 'string'),\n",
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" ('uid', 'string'),\n",
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" ('whereabouts', 'string')]"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"lenders.dtypes"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[('id', 'bigint'), ('lender_ids', 'array<string>')]"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"loans_lenders.dtypes"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 2",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 1
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}
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@ -1,157 +0,0 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"sparkSql = (SparkSession.builder\n",
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" .master(\"local\")\n",
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" .appName(\"Kiva Exploration\")\n",
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" .getOrCreate())\n",
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"\n",
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"loans = sparkSql.read.format('json').load('kiva-data/loans.json')\n",
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"lenders = sparkSql.read.format('json').load('kiva-data/lenders.json')\n",
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"loans_lenders = sparkSql.read.format('json').load('kiva-data/loans_lenders.json')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[('activity', 'string'),\n",
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" ('arrears_amount', 'string'),\n",
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" ('basket_amount', 'bigint'),\n",
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" ('bonus_credit_eligibility', 'boolean'),\n",
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" ('borrowers',\n",
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" 'array<struct<first_name:string,gender:string,last_name:string,pictured:boolean>>'),\n",
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" ('currency_exchange_loss_amount', 'double'),\n",
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" ('delinquent', 'string'),\n",
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" ('description',\n",
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" 'struct<languages:array<string>,texts:struct<ar:string,en:string,es:string,fr:string,id:string,mn:string,pt:string,ru:string,vi:string>>'),\n",
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" ('funded_amount', 'bigint'),\n",
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" ('funded_date', 'string'),\n",
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" ('id', 'bigint'),\n",
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" ('image', 'struct<id:bigint,template_id:bigint>'),\n",
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" ('journal_totals', 'struct<bulkEntries:bigint,entries:bigint>'),\n",
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" ('lender_count', 'bigint'),\n",
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" ('loan_amount', 'bigint'),\n",
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" ('location',\n",
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" 'struct<country:string,country_code:string,geo:struct<level:string,pairs:string,type:string>,town:string>'),\n",
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" ('name', 'string'),\n",
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" ('paid_amount', 'string'),\n",
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" ('paid_date', 'string'),\n",
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" ('partner_id', 'bigint'),\n",
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" ('payments', 'array<string>'),\n",
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" ('planned_expiration_date', 'string'),\n",
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" ('posted_date', 'string'),\n",
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" ('sector', 'string'),\n",
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" ('status', 'string'),\n",
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" ('tags', 'array<struct<name:string>>'),\n",
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" ('terms',\n",
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" 'struct<disbursal_amount:double,disbursal_currency:string,disbursal_date:string,loan_amount:bigint,local_payments:array<struct<amount:double,due_date:string>>,loss_liability:struct<currency_exchange:string,currency_exchange_coverage_rate:double,nonpayment:string>,repayment_interval:string,repayment_term:bigint,scheduled_payments:array<struct<amount:double,due_date:string>>>'),\n",
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" ('themes', 'array<string>'),\n",
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" ('translator', 'struct<byline:string,image:bigint>'),\n",
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" ('use', 'string'),\n",
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" ('video',\n",
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" 'struct<id:bigint,thumbnailImageId:bigint,title:string,youtubeId:string>')]"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"loans.dtypes"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[('country_code', 'string'),\n",
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" ('image', 'struct<id:bigint,template_id:bigint>'),\n",
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" ('invitee_count', 'bigint'),\n",
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" ('inviter_id', 'string'),\n",
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" ('lender_id', 'string'),\n",
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" ('loan_because', 'string'),\n",
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" ('loan_count', 'bigint'),\n",
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" ('member_since', 'string'),\n",
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" ('name', 'string'),\n",
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" ('occupation', 'string'),\n",
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" ('occupational_info', 'string'),\n",
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" ('personal_url', 'string'),\n",
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" ('uid', 'string'),\n",
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" ('whereabouts', 'string')]"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"lenders.dtypes"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[('id', 'bigint'), ('lender_ids', 'array<string>')]"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"loans_lenders.dtypes"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 2",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 1
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}
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@ -0,0 +1,274 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Understanding the Kiva Dataset\n",
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"\n",
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"Before we actually get into the work of predicting anything based on the data Kiva makes public, we first want to get a better picture of what the dataset actually looks like.\n",
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"\n",
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"Our first step: What is the schema of the data? Spark SQL will make it easy to query data in the future, but we need to know first what is available."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"sparkSql = (SparkSession.builder\n",
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" .master(\"local\")\n",
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" .appName(\"Kiva Exploration\")\n",
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" .getOrCreate())\n",
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"\n",
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"loans = sparkSql.read.format('json').load('kiva-data/loans.json')\n",
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"lenders = sparkSql.read.format('json').load('kiva-data/lenders.json')\n",
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"loans_lenders = sparkSql.read.format('json').load('kiva-data/loans_lenders.json')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"root\n",
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" |-- activity: string (nullable = true)\n",
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" |-- basket_amount: long (nullable = true)\n",
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" |-- bonus_credit_eligibility: boolean (nullable = true)\n",
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" |-- borrowers: array (nullable = true)\n",
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" | |-- element: struct (containsNull = true)\n",
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" | | |-- first_name: string (nullable = true)\n",
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" | | |-- gender: string (nullable = true)\n",
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" | | |-- last_name: string (nullable = true)\n",
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" | | |-- pictured: boolean (nullable = true)\n",
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" |-- currency_exchange_loss_amount: double (nullable = true)\n",
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" |-- delinquent: boolean (nullable = true)\n",
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" |-- description: struct (nullable = true)\n",
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" | |-- languages: array (nullable = true)\n",
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" | | |-- element: string (containsNull = true)\n",
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" | |-- texts: struct (nullable = true)\n",
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" | | |-- ar: string (nullable = true)\n",
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" | | |-- en: string (nullable = true)\n",
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" | | |-- es: string (nullable = true)\n",
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" | | |-- fr: string (nullable = true)\n",
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" | | |-- id: string (nullable = true)\n",
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" | | |-- mn: string (nullable = true)\n",
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" | | |-- pt: string (nullable = true)\n",
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" | | |-- ru: string (nullable = true)\n",
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" | | |-- vi: string (nullable = true)\n",
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" |-- funded_amount: long (nullable = true)\n",
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" |-- funded_date: string (nullable = true)\n",
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" |-- id: long (nullable = true)\n",
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" |-- image: struct (nullable = true)\n",
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" | |-- id: long (nullable = true)\n",
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" | |-- template_id: long (nullable = true)\n",
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" |-- journal_totals: struct (nullable = true)\n",
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" | |-- bulkEntries: long (nullable = true)\n",
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" | |-- entries: long (nullable = true)\n",
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" |-- lender_count: long (nullable = true)\n",
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" |-- loan_amount: long (nullable = true)\n",
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" |-- location: struct (nullable = true)\n",
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" | |-- country: string (nullable = true)\n",
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" | |-- country_code: string (nullable = true)\n",
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" | |-- geo: struct (nullable = true)\n",
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" | | |-- level: string (nullable = true)\n",
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" | | |-- pairs: string (nullable = true)\n",
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" | | |-- type: string (nullable = true)\n",
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" | |-- town: string (nullable = true)\n",
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" |-- name: string (nullable = true)\n",
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" |-- paid_amount: double (nullable = true)\n",
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" |-- paid_date: string (nullable = true)\n",
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" |-- partner_id: long (nullable = true)\n",
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" |-- payments: array (nullable = true)\n",
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" | |-- element: struct (containsNull = true)\n",
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" | | |-- amount: double (nullable = true)\n",
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" | | |-- currency_exchange_loss_amount: double (nullable = true)\n",
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" | | |-- local_amount: double (nullable = true)\n",
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" | | |-- payment_id: long (nullable = true)\n",
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" | | |-- processed_date: string (nullable = true)\n",
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" | | |-- rounded_local_amount: double (nullable = true)\n",
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" | | |-- settlement_date: string (nullable = true)\n",
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" |-- planned_expiration_date: string (nullable = true)\n",
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" |-- posted_date: string (nullable = true)\n",
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" |-- sector: string (nullable = true)\n",
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" |-- status: string (nullable = true)\n",
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" |-- tags: array (nullable = true)\n",
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" | |-- element: struct (containsNull = true)\n",
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" | | |-- name: string (nullable = true)\n",
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" |-- terms: struct (nullable = true)\n",
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" | |-- disbursal_amount: double (nullable = true)\n",
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" | |-- disbursal_currency: string (nullable = true)\n",
|
||||
" | |-- disbursal_date: string (nullable = true)\n",
|
||||
" | |-- loan_amount: long (nullable = true)\n",
|
||||
" | |-- local_payments: array (nullable = true)\n",
|
||||
" | | |-- element: struct (containsNull = true)\n",
|
||||
" | | | |-- amount: double (nullable = true)\n",
|
||||
" | | | |-- due_date: string (nullable = true)\n",
|
||||
" | |-- loss_liability: struct (nullable = true)\n",
|
||||
" | | |-- currency_exchange: string (nullable = true)\n",
|
||||
" | | |-- currency_exchange_coverage_rate: double (nullable = true)\n",
|
||||
" | | |-- nonpayment: string (nullable = true)\n",
|
||||
" | |-- repayment_interval: string (nullable = true)\n",
|
||||
" | |-- repayment_term: long (nullable = true)\n",
|
||||
" | |-- scheduled_payments: array (nullable = true)\n",
|
||||
" | | |-- element: struct (containsNull = true)\n",
|
||||
" | | | |-- amount: double (nullable = true)\n",
|
||||
" | | | |-- due_date: string (nullable = true)\n",
|
||||
" |-- themes: array (nullable = true)\n",
|
||||
" | |-- element: string (containsNull = true)\n",
|
||||
" |-- translator: struct (nullable = true)\n",
|
||||
" | |-- byline: string (nullable = true)\n",
|
||||
" | |-- image: long (nullable = true)\n",
|
||||
" |-- use: string (nullable = true)\n",
|
||||
" |-- video: struct (nullable = true)\n",
|
||||
" | |-- id: long (nullable = true)\n",
|
||||
" | |-- thumbnailImageId: long (nullable = true)\n",
|
||||
" | |-- title: string (nullable = true)\n",
|
||||
" | |-- youtubeId: string (nullable = true)\n",
|
||||
"\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"loans.printSchema()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[Row(status=u'refunded', count=5504),\n",
|
||||
" Row(status=u'defaulted', count=21776),\n",
|
||||
" Row(status=u'in_repayment', count=155749),\n",
|
||||
" Row(status=u'reviewed', count=3),\n",
|
||||
" Row(status=u'deleted', count=2721),\n",
|
||||
" Row(status=u'paid', count=775330),\n",
|
||||
" Row(status=u'issue', count=199),\n",
|
||||
" Row(status=u'inactive_expired', count=12421),\n",
|
||||
" Row(status=u'fundraising', count=3986),\n",
|
||||
" Row(status=u'expired', count=33773),\n",
|
||||
" Row(status=u'inactive', count=2493),\n",
|
||||
" Row(status=u'funded', count=173),\n",
|
||||
" Row(status=u'', count=2)]"
|
||||
]
|
||||
},
|
||||
"execution_count": 3,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"loans.groupby(loans.status).count().collect()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[Row(delinquent=None, count=970465), Row(delinquent=True, count=43665)]"
|
||||
]
|
||||
},
|
||||
"execution_count": 4,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"loans.groupby(loans.delinquent).count().collect()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[Row(status=u'refunded', count=156),\n",
|
||||
" Row(status=u'defaulted', count=20116),\n",
|
||||
" Row(status=u'in_repayment', count=23393)]"
|
||||
]
|
||||
},
|
||||
"execution_count": 6,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"loans.where(loans.delinquent == True).groupby(loans.status).count().collect()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 19,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[Row(status=u'in_repayment')]"
|
||||
]
|
||||
},
|
||||
"execution_count": 19,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"loans.registerTempTable('loans')\n",
|
||||
"sparkSql.sql('''\n",
|
||||
"SELECT loans.status\n",
|
||||
"FROM loans\n",
|
||||
"LIMIT 1\n",
|
||||
"''').collect()"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 2",
|
||||
"language": "python",
|
||||
"name": "python2"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 2
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython2",
|
||||
"version": "2.7.12"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 1
|
||||
}
|
||||
Loading…
Reference in New Issue