from pyspark.sql import SparkSession
from pyspark.sql.types import StringType
import pandas as pd
from google.cloud import bigquery
from google.cloud import storage
from pandas import DataFrame
from pyspark.sql import SparkSession
spark = SparkSession.builder \
.appName('Optimize BigQuery Storage') \
.config('spark.jars.packages', 'com.google.cloud.spark:spark-bigquery-with-dependencies_2.12:0.24.2') \
.getOrCreate()
df = spark.read.text('gs://test111/test/test.txt', lineSep=",")
#df.selectExpr("split(value, ',') as\
#Text_Data_In_Rows_Using_Text").show(4,False)
df.show()
sProjectID = 'prj-d-xxxx-ingest'
sTargetDataset = 'data'
sTargetTable = 'xxx'
client = bigquery.Client()
table_id = 'data.xxx'
# Since string columns use the "object" dtype, pass in a (partial) schema
# to ensure the correct BigQuery data type.
job_config = bigquery.LoadJobConfig(schema=[
bigquery.SchemaField("Source_Code", "STRING"),
bigquery.SchemaField("FLAG", "STRING")
])
job = client.load_table_from_dataframe(
df, table_id, job_config=job_config
)
ERROR as below File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/dataframe.py", line 1643, in getattr AttributeError: 'DataFrame' object has no attribute 'index'
