Google BigQuery是否支持ARRAY< STRING> ;? [英] Does Google BigQuery supports ARRAY<STRING>?
问题描述
我正在将Google数据流中的数据推送到Google BigQuery。我有 TableRow
包含数据的对象。 TableRow中的一列包含字符串数组。
从这里,我发现Google BigQuery支持Array列类型。
所以我试着用 ARRAY< SCHEMA>
作为类型创建表。但我得到了以下错误:
com.google.api.client.googleapis.json.GoogleJsonResponseException:400错误请求
{
code:400,
errors:[{
domain:global,
message:无效值:ARRAY< STRING> ;无效值,
reason:无效
}],
消息:无效值:ARRAY< STRING>不是有效值
}
com.google.cloud.dataflow.sdk.util.UserCodeException.wrapIf(UserCodeException.java:47)
com.google.cloud.dataflow.sdk.util.DoFnRunnerBase.wrapUserCodeException( DoFnRunnerBase.java:369)
com.google.cloud.dataflow.sdk.util.DoFnRunnerBase.finishBundle(DoFnRunnerBase.java:162)
com.google.cloud.dataflow.sdk.runners.worker。 SimpleParDoFn.finishBundle(SimpleParDoFn.java:194)
com.google.cloud.dataflow.sdk.runners.worker.ForwardingParDoFn.finishBundle(ForwardingParDoFn.java:47)
以下是我用来发布v的代码(BigQueryIO.Write.named(写入丰富的数据))
.withCreateDisposition(BigQueryIO)(BigQueryIO.Write.named(写入丰富的数据))
.withCreateDisposition(BigQueryIO .Write.CreateDisposition.CREATE_IF_NEEDED)
.withSchema(getSchema())
.withWriteDisposition(BigQueryIO.Write.WriteDisposition.WRITE_APPEND)
.to(table_name));
这里是模式构造
private static TableSchema getSchema(){
List< TableFieldSchema> fields = new ArrayList<>();
fields.add(new TableFieldSchema()。setName(column1)。setType(STRING));
fields.add(new TableFieldSchema()。setName(column2)。setType(STRING));
fields.add(new TableFieldSchema()。setName(array_column)。setType(ARRAY< STRING>));
返回新的TableSchema()。setFields(fields);
}
如何将字符串数组插入到BigQuery表中?
$在BigQuery中定义 ARRAY< STRING>
我将字段设置为'STRING'它的模式为'REPEATED'。 在Python中,它被定义为 field = SchemaField(name ='field_1',type ='STRING ',mode ='REPEATED')
对于Java客户端,我可以看到您具有相同的选项,您可以定义< a href =http://googlecloudplatform.github.io/google-cloud-java/0.18.0/apidocs/com/google/cloud/bigquery/Field.Type.html =nofollow noreferrer> TYPE < a> as STRING
和 MODE 为 REPEATED
。
I am pushing the data from Google dataflow to Google BigQuery. I have TableRow
object with data in it. One of columns in TableRow does contain Array of String.
From here, I found that Google BigQuery supports Array column type.
So I tried to create table with ARRAY<SCHEMA>
as type. But I got the below error
com.google.api.client.googleapis.json.GoogleJsonResponseException: 400 Bad Request
{
"code" : 400,
"errors" : [ {
"domain" : "global",
"message" : "Invalid value for: ARRAY<STRING> is not a valid value",
"reason" : "invalid"
} ],
"message" : "Invalid value for: ARRAY<STRING> is not a valid value"
}
com.google.cloud.dataflow.sdk.util.UserCodeException.wrapIf(UserCodeException.java:47)
com.google.cloud.dataflow.sdk.util.DoFnRunnerBase.wrapUserCodeException(DoFnRunnerBase.java:369)
com.google.cloud.dataflow.sdk.util.DoFnRunnerBase.finishBundle(DoFnRunnerBase.java:162)
com.google.cloud.dataflow.sdk.runners.worker.SimpleParDoFn.finishBundle(SimpleParDoFn.java:194)
com.google.cloud.dataflow.sdk.runners.worker.ForwardingParDoFn.finishBundle(ForwardingParDoFn.java:47)
Here is the code that I use to publish values into BigQuery
.apply(BigQueryIO.Write.named("Write enriched data")
.withCreateDisposition(BigQueryIO.Write.CreateDisposition.CREATE_IF_NEEDED)
.withSchema(getSchema())
.withWriteDisposition(BigQueryIO.Write.WriteDisposition.WRITE_APPEND)
.to("table_name"));
And here is the schema construction
private static TableSchema getSchema() {
List<TableFieldSchema> fields = new ArrayList<>();
fields.add(new TableFieldSchema().setName("column1").setType("STRING"));
fields.add(new TableFieldSchema().setName("column2").setType("STRING"));
fields.add(new TableFieldSchema().setName("array_column").setType("ARRAY<STRING>"));
return new TableSchema().setFields(fields);
}
How can I insert array of string into BigQuery table?
To define a ARRAY<STRING>
in BigQuery I set the field as 'STRING' and its mode as 'REPEATED'.
In Python for instance it's defined as field = SchemaField(name='field_1', type='STRING', mode='REPEATED')
For the Java client for what I could see you have the same options, you could define the TYPE as STRING
and the MODE as REPEATED
.
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