Google-BigQuery
view release on metacpan or search on metacpan
t/17_extract.t view on Meta::CPAN
BEGIN {
unless (defined $ENV{CLIENT_EMAIL} && defined $ENV{PRIVATE_KEY_FILE} && $ENV{PROJECT_ID} && $ENV{GS_BUCKET}) {
require Test::More;
Test::More::plan(skip_all => 'This test needs $ENV{CLIENT_EMAIL}, $ENV{PRIVATE_KEY_FILE} and $ENV{PROJECT_ID}.');
}
}
use strict;
use Test::More 0.98;
use Test::Exception;
use JSON qw(decode_json encode_json);
use Data::Dumper;
use FindBin '$Bin';
use Google::BigQuery;
my $client_email = $ENV{CLIENT_EMAIL};
my $private_key_file = $ENV{PRIVATE_KEY_FILE};
my $project_id = $ENV{PROJECT_ID};
my ${dataset_id} = 'sample_dataset_' . time;
my $table_id = 'sample_table_' . time;
my $schema = [
{ name => 'id', type => 'INTEGER', mode => 'REQUIRED' },
{ name => 'name', type => 'STRING', mode => 'REQUIRED' },
{ name => 'address', type => 'STRING', mode => 'NULLABLE' },
{ name => 'phone', type => 'INTEGER', mode => 'NULLABLE' },
];
my $bucket = $ENV{GS_BUCKET};
my $ret;
my $bq = Google::BigQuery::create(
client_email => $client_email,
private_key_file => $private_key_file,
project_id => $project_id,
dataset_id => $dataset_id,
);
$bq->create_dataset;
$bq->create_table(table_id=>$table_id,schema=>$schema);
$bq->load(
table_id=>$table_id,
data=>[("gs://$bucket/data-100000.json.gz", "gs://$bucket/data-10000.json.gz")],
);
$ret = $bq->extract(
table_id=>$table_id,
data=>[("gs://$bucket/extracted-data1-*.tsv.gz")],
);
is($ret, 1, 'extract');
done_testing;
( run in 1.115 second using v1.01-cache-2.11-cpan-39bf76dae61 )