blocks|key|353174|text|对于从Avro文件中读取的每一条记录：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|353175|显示在文件和表中的table.|353176|Attributes中的|unordered-list-item|353177|属性被加载到文件中而不是表中的ignore_unknown_fields中，如果存在于表中但不在文件中的|353178|属性将使用它们的默认值(如果有一组.|353179|)。|353180|353181|下面的链接很有帮助。|353182|1+2|offset|length|353183|3|353184|entityMap|0|LINK|mutability|MUTABLE|url|https://cloud.google.com/dataflow/docs/guides/templates/provided-batch#cloud-storage-avro-to-bigtable|1|https://github.com/GoogleCloudPlatform/DataflowTemplates/blob/master/src/main/resources/schema/avro/bigtable.avsc|2|https://stackoverflow.com/questions/65411557/avro-to-bigtable-schema-issue^0|0|0|0|0|0|0|0|0|0|1|0|2|1|1|0|0|1|2|0^^$0|@$1|2|3|4|5|6|7|17|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|18|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|19|8|@]|9|@]|A|$]]|$1|G|3|H|5|F|7|1A|8|@]|9|@]|A|$]]|$1|I|3|J|5|F|7|1B|8|@]|9|@]|A|$]]|$1|K|3|L|5|6|7|1C|8|@]|9|@]|A|$]]|$1|M|3|-4|5|6|7|1D|8|@]|9|@]|A|$]]|$1|N|3|O|5|6|7|1E|8|@]|9|@]|A|$]]|$1|P|3|Q|5|6|7|1F|8|@]|9|@$R|1G|S|1H|1|1I]|$R|1J|S|1K|1|1L]]|A|$]]|$1|T|3|U|5|6|7|1M|8|@]|9|@$R|1N|S|1O|1|1P]]|A|$]]|$1|V|3|-4|5|6|7|1Q|8|@]|9|@]|A|$]]]|W|$X|$5|Y|Z|10|A|$11|12]]|13|$5|Y|Z|10|A|$11|14]]|15|$5|Y|Z|10|A|$11|16]]]]

For every record read from the Avro files:
<ul>
<li>Attributes present in the files and in the table are loaded into the table.</li>
<li>Attributes present in the file but not in the table are subject to ignore_unknown_fields,</li>
<li>Attributes that exist in the table but not in the file will use their default value, if there is one set.</li>
</ul>
The below links are helpful.
[1] <a href="https://cloud.google.com/dataflow/docs/guides/templates/provided-batch#cloud-storage-avro-to-bigtable" rel="nofollow noreferrer">https://cloud.google.com/dataflow/docs/guides/templates/provided-batch#cloud-storage-avro-to-bigtable</a>
[2] <a href="https://github.com/GoogleCloudPlatform/DataflowTemplates/blob/master/src/main/resources/schema/avro/bigtable.avsc" rel="nofollow noreferrer">https://github.com/GoogleCloudPlatform/DataflowTemplates/blob/master/src/main/resources/schema/avro/bigtable.avsc</a>
[3] <a href="https://stackoverflow.com/questions/65411557/avro-to-bigtable-schema-issue">Avro to BigTable - Schema issue?</a>

blocks|key|2248125|text|对于那些仍然像我一样有问题的人，因为他们不熟悉avro，下面是我经过一些修改后发现的一个工作模式转换。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2248126|例如，如果您有这样的bigquery表|2248127|📷|atomic|offset|length|2248128|​|2248129|您希望使用user_id作为bigtable+row_key，并接收所有列，下面是将它们编码为avro文件的示例代码。|2248130|from+avro.schema+import+Parse
from+avro.io+import+DatumWriter
from+avro.datafile+import+DataFileWriter

bigtable_schema+=+{
++++"name"+:+"BigtableRow",
++++"type"+:+"record",
++++"namespace"+:+"com.google.cloud.teleport.bigtable",
++++"fields"+:+[
++++++{+"name"+:+"key",+"type"+:+"bytes"},
++++++{+"name"+:+"cells",
++++++++"type"+:+{
++++++++++"type"+:+"array",
++++++++++"items":+{
++++++++++++"name":+"BigtableCell",
++++++++++++"type":+"record",
++++++++++++"fields":+[
++++++++++++++{+"name"+:+"family",+"type"+:+"string"},
++++++++++++++{+"name"+:+"qualifier",+"type"+:+"bytes"},
++++++++++++++{+"name"+:+"timestamp",+"type"+:+"long",+"logicalType"+:+"timestamp-micros"},
++++++++++++++{+"name"+:+"value",+"type"+:+"bytes"}
++++++++++++]
++++++++++}
++++++++}
++++++}
+++]
}

parsed_schema+=+Parse(json.dumps(bigtable_schema))

row_key+=+'user_id'
family_name+=+'feature_name'
feature_list+=+['channel',+'zip_code',+'history']

with+open('features.avro',+'wb')+as+f:

++++writer+=+DataFileWriter(f,+DatumWriter(),+parsed_schema)

++++for+item+in+df.iterrows():

++++++++row+=+item[1]
++++++++ts+=++int(datetime.now().timestamp())+*+1000+*+1000

++++++++for+feat+in+feature_list:

++++++++++++writer.append({
++++++++++++++++"key":+row[row_key].encode('utf-8'),
++++++++++++++++"cells":+[{"family":+family_name,+
+++++++++++++++++++++++++++"qualifier":+feat.encode('utf-8'),+
+++++++++++++++++++++++++++"timestamp":+ts,+
+++++++++++++++++++++++++++"value":+str(row[feat]).encode('utf-8')}]
++++++++++++})
++++++++
++++writer.close()|code-block|syntax|javascript|2248131|然后，您可以使用数据流模板作业来运行摄入。|2248132|完整的代码可以在这里找到：https://github.com/mitbal/sidu/blob/master/bigquery_to_bigtable.ipynb|2248133|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/4b5c9676c56363542b51af87682e84bf.png|imageAlt|1|LINK|MUTABLE|url|https://github.com/mitbal/sidu/blob/master/bigquery_to_bigtable.ipynb^0|0|0|0|1|0|0|0|0|0|0|D|1X|1|0^^$0|@$1|2|3|4|5|6|7|19|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|1A|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|1B|8|@]|9|@$G|1C|H|1D|1|1E]]|A|$]]|$1|I|3|J|5|6|7|1F|8|@]|9|@]|A|$]]|$1|K|3|L|5|6|7|1G|8|@]|9|@]|A|$]]|$1|M|3|N|5|O|7|1H|8|@]|9|@]|A|$P|Q]]|$1|R|3|S|5|6|7|1I|8|@]|9|@]|A|$]]|$1|T|3|U|5|6|7|1J|8|@]|9|@$G|1K|H|1L|1|1M]]|A|$]]|$1|V|3|-4|5|6|7|1N|8|@]|9|@]|A|$]]]|W|$X|$5|Y|Z|10|A|$11|12|13|-4]]|14|$5|15|Z|16|A|$17|18]]]]

For those of you who still have problem like me because they are not familiar with avro, here is one working schema transformation that I found after some tinkering.
For example, if you have table from bigquery like this
<a href="https://i.stack.imgur.com/cTyBo.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/cTyBo.png" alt="example table from bigquery" /></a>
And you want to use user_id as the bigtable row_key and ingest all columns, here is the example code to encode them as avro file.
<pre class="lang-py prettyprint-override"><code>from avro.schema import Parse
from avro.io import DatumWriter
from avro.datafile import DataFileWriter

bigtable_schema = {
 &quot;name&quot; : &quot;BigtableRow&quot;,
 &quot;type&quot; : &quot;record&quot;,
 &quot;namespace&quot; : &quot;com.google.cloud.teleport.bigtable&quot;,
 &quot;fields&quot; : [
 { &quot;name&quot; : &quot;key&quot;, &quot;type&quot; : &quot;bytes&quot;},
 { &quot;name&quot; : &quot;cells&quot;,
 &quot;type&quot; : {
 &quot;type&quot; : &quot;array&quot;,
 &quot;items&quot;: {
 &quot;name&quot;: &quot;BigtableCell&quot;,
 &quot;type&quot;: &quot;record&quot;,
 &quot;fields&quot;: [
 { &quot;name&quot; : &quot;family&quot;, &quot;type&quot; : &quot;string&quot;},
 { &quot;name&quot; : &quot;qualifier&quot;, &quot;type&quot; : &quot;bytes&quot;},
 { &quot;name&quot; : &quot;timestamp&quot;, &quot;type&quot; : &quot;long&quot;, &quot;logicalType&quot; : &quot;timestamp-micros&quot;},
 { &quot;name&quot; : &quot;value&quot;, &quot;type&quot; : &quot;bytes&quot;}
 ]
 }
 }
 }
 ]
}

parsed_schema = Parse(json.dumps(bigtable_schema))

row_key = 'user_id'
family_name = 'feature_name'
feature_list = ['channel', 'zip_code', 'history']

with open('features.avro', 'wb') as f:

 writer = DataFileWriter(f, DatumWriter(), parsed_schema)

 for item in df.iterrows():

 row = item[1]
 ts = int(datetime.now().timestamp()) * 1000 * 1000

 for feat in feature_list:

 writer.append({
 &quot;key&quot;: row[row_key].encode('utf-8'),
 &quot;cells&quot;: [{&quot;family&quot;: family_name, 
 &quot;qualifier&quot;: feat.encode('utf-8'), 
 &quot;timestamp&quot;: ts, 
 &quot;value&quot;: str(row[feat]).encode('utf-8')}]
 })
 
 writer.close()
</code></pre>
Then you can use dataflow template job to run the ingestion.
Complete code can be found here: <a href="https://github.com/mitbal/sidu/blob/master/bigquery_to_bigtable.ipynb" rel="nofollow noreferrer">https://github.com/mitbal/sidu/blob/master/bigquery_to_bigtable.ipynb</a>

I'd like to import bigquery data to bigtable using Google Composer.
Exporting bigquery rows in Avro format to GCS was successful. However, import Avro data to Bigtable was not.
The error says
<code>Caused by: org.apache.avro.AvroTypeException: Found Root, expecting com.google.cloud.teleport.bigtable.BigtableRow, missing required field key</code>
I guess the schema between bigquery and bigtable should match each other. But I have no idea how to do this.

Is there a way to match avro schema with Bigquery and Bigtable?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我想使用将bigquery数据导入到bigtable。将Avro格式的bigquery行导出到GCS是成功的。但是，未将Avro数据导入Bigtable。错误说Caused by: org.apache.avro.AvroTypeException: Found Root, expecting com.google.c...

问是否有方法将avro模式与Bigquery和Bigtable匹配？
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问是否有方法将avro模式与Bigquery和Bigtable匹配？EN