我一直尝试将此csv上传到Google Bigquery中,但始终出现错误。
读取数据时出错,错误消息:CSV表遇到太多错误,放弃了。行:303;错误:1.请查看errors []集合以获取更多详细信息。 读取数据时出错,错误消息:无效时区:PM;无法将字段“ DATE”(位置2)的日期时间解析为“ 09/09/2006 11:45:00 PM”,从位置71061开始
此csv文件。我收到上面的错误。
https://ibm.box.com/shared/static/svflyugsr9zbqy5bmowgswqemfpm1x7f.csv
答案 0 :(得分:0)
BigQuery日期必须使用完整的ISO标准和UTC,
This is the updated JSON
grid_template = {
type: 'grid',
rows: [
{
columns: [
{
identifier: 'c1',
hasRows: false,
cashBack: {
text: '', image: '', height: '', width: '',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
},
title: {
text: '', image: '', height: '', width: '',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
},
images: { leafBannerId: '', listPageBannerId: '', overlayImage: '' },
width: '50%',
height: '20%',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
},
{
hasRows: true,
rows: [
{
identifier: 'c2',
hasColumns: false,
cashBack: {
text: '', image: '', height: '', width: '',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
},
title: {
text: '', image: '', height: '', width: '',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
},
images: { leafBannerId: '', listPageBannerId: '', overlayImage: '' },
width: '50%',
height: '10%',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
},
{
hasColumns: true, columns: [
{
identifier: 'c3',
cashBack: {
text: '', image: '', height: '', width: '',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
},
title: {
text: '', image: '', height: '', width: '',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
},
images: { leafBannerId: '', listPageBannerId: '', overlayImage: '' },
width: '25%',
height: '10%',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
},
{
identifier: 'c4',
cashBack: {
text: '', image: '', height: '', width: '',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
},
title: {
text: '', image: '', height: '', width: '',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
},
images: { leafBannerId: '', listPageBannerId: '', overlayImage: '' },
width: '25%',
height: '10%',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
} ]
}
]
}
]
},
{
columns: [
{
identifier: 'c5',
cashBack: { text: '', image: '', height: '', width: '' },
title: {
text: '', image: '', height: '', width: '',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
},
images: {
leafBannerId: '', listPageBannerId: '', overlayImage: '',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
},
height: '15%',
width: '33%',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
},
{
identifier: 'c6',
cashBack: {
text: '', image: '', height: '', width: '',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
},
title: {
text: '', image: '', height: '', width: '',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
},
images: { leafBannerId: '', listPageBannerId: '', overlayImage: '' },
height: '15%',
width: '33%',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
},
{
identifier: 'c6',
cashBack: {
text: '', image: '', height: '', width: '',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
},
title: {
text: '', image: '', height: '', width: '',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
},
images: { leafBannerId: '', listPageBannerId: '', overlayImage: '' },
height: '15%',
width: '33%',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
}
]
},
{
columns: [
{
identifier: 'c7',
cashBack: {
text: '', image: '', height: '', width: '',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
},
title: {
text: '', image: '', height: '', width: '',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
},
images: { leafBannerId: '', listPageBannerId: '', overlayImage: '' },
view_all: '',
height: '10%',
width: '100%',
'2X': { width: '200px', height: '400px' },
'3X': { width: '300px', height: '600px' },
}
]
}
]
};
答案 1 :(得分:0)
DATE时间必须采用0001-01-01 00:00:00
的格式。
您可以使用此字段作为字符串将CSV加载到临时文件中, 然后使用解析查询可以加载到目标表中