如何通过指定分区将分区插入到Python中BigQuery的获取时间分区表中

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google.api_core.exceptions.BadRequest: 400 POST https://bigquery.googleapis.com/upload/bigquery/v2/projects/aaa/jobs?uploadType=multipart: Invalid field name "_PARTITIONTIME". Field names are not allowed to start with the (case-insensitive) prefixes _PARTITION, _TABLE_, _FILE_, _ROW_TIMESTAMP, __ROOT__ and _COLIDENTIFIER

CREATE TABLE IF NOT EXISTS `aaa.bbb.ccc`(
  c1 INTEGER,
  c2 STRING
PARTITION BY _PARTITIONDATE;

INSERT INTO `aaa.bbb.ccc` (c1, c2, _PARTITIONTIME) VALUES (99, "zz", TIMESTAMP("2000-01-02"));

import pandas as pd
from google.cloud import bigquery
from google.cloud.bigquery.enums import SqlTypeNames
from google.cloud.bigquery.job import WriteDisposition
from datetime import datetime
client = bigquery.Client(project="aaa")
job_config = bigquery.LoadJobConfig(
    schema=[
        bigquery.SchemaField("c1", SqlTypeNames.INTEGER),
        bigquery.SchemaField("c2", SqlTypeNames.STRING),
        bigquery.SchemaField("_PARTITIONTIME", SqlTypeNames.TIMESTAMP),
    write_disposition=WriteDisposition.WRITE_APPEND,
    time_partitioning=bigquery.TimePartitioning(
        type_=bigquery.TimePartitioningType.DAY,
        field="_PARTITIONTIME",  # Name of the column to use for partitioning.
        expiration_ms=7776000000,  # 90 days.
df = pd.DataFrame(
        [1, "a", datetime.strptime("2100-11-12", "%Y-%m-%d")],
        [2, "b", datetime.strptime("2101-12-13", "%Y-%m-%d")],
    columns=["c1", "c2", "_PARTITIONTIME"],
job = client.load_table_from_dataframe(df, "aaa.bbb.ccc", job_config=job_config) # error
result = job.result()

import pandas as pd
from google.cloud import bigquery
from google.cloud.bigquery.enums import SqlTypeNames
from google.cloud.bigquery.job import WriteDisposition
from datetime import datetime
client = bigquery.Client(project="<your-project>")
job_config = bigquery.LoadJobConfig(
    schema=[
        bigquery.SchemaField("c1", SqlTypeNames.INTEGER),
        bigquery.SchemaField("c2", SqlTypeNames.STRING),
        bigquery.SchemaField("_P1", SqlTypeNames.TIMESTAMP),
    write_disposition=WriteDisposition.WRITE_APPEND,
    time_partitioning=bigquery.TimePartitioning(
        type_=bigquery.TimePartitioningType.DAY,
        field="_P1",  # Name of the column to use for partitioning.
        expiration_ms=7776000000,  # 90 days.
df = pd.DataFrame(
        [1, "a", datetime.strptime("2100-11-12", "%Y-%m-%d")],

如何通过指定分区将分区插入到Python中BigQuery的获取时间分区表中

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