Hi,
Since you mentioned that there could be duplicate records with the same
unique key in the Delta table, you will need a way to handle these
duplicate records. One approach I can suggest is to use a timestamp to
determine the latest or most relevant record among duplicates, the
so-called op_time column df = df.withColumn("op_time", current_timestamp())
at ingestion time, so you can determine the most relevant record etc
This is the pseudo-code suggestion
from pyspark.sql import SparkSession
from pyspark.sql.functions import col, struct
appName = "DeltaHexToIntConversion"
spark = SparkSession.builder.appName(appName).getOrCreate()
delta_table_path = "path_to_your_delta_table"
df = spark.read.format("delta").load(delta_table_path)
df = df.withColumn(
"exploded_data",
struct(col("data.field1").cast("int").alias("field1_int"),
col("data.field2"))
)
df = df.select("other_columns", "exploded_data.field1_int",
"exploded_data.field2")
# Handling Duplicates:
# Define your logic here to select the most relevant record among
duplicates, say timestamp as mentioned above
df = df.dropDuplicates(["unique_key"], keep="last")
# merge the DataFrame back to the Delta table
df.write.format("delta").mode("mergr").option("mergeSchema",
"true").save(delta_table_path)
HTH
Mich Talebzadeh,
Distinguished Technologist, Solutions Architect & Engineer
London
United Kingdom
view my Linkedin profile
<https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
https://en.everybodywiki.com/Mich_Talebzadeh
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On Mon, 9 Oct 2023 at 17:12, Mich Talebzadeh <mich.talebza...@gmail.com>
wrote:
> In a nutshell, is this what you are trying to do?
>
>
> 1. Read the Delta table into a Spark DataFrame.
> 2. Explode the string column into a struct column.
> 3. Convert the hexadecimal field to an integer.
> 4. Write the DataFrame back to the Delta table in merge mode with a
> unique key.
>
> Is this a fair assessment
>
> HTH
>
> Mich Talebzadeh,
> Distinguished Technologist, Solutions Architect & Engineer
> London
> United Kingdom
>
>
> view my Linkedin profile
> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>
>
> https://en.everybodywiki.com/Mich_Talebzadeh
>
>
>
> *Disclaimer:* Use it at your own risk. Any and all responsibility for any
> loss, damage or destruction of data or any other property which may arise
> from relying on this email's technical content is explicitly disclaimed.
> The author will in no case be liable for any monetary damages arising from
> such loss, damage or destruction.
>
>
>
>
> On Mon, 9 Oct 2023 at 14:46, Karthick Nk <kcekarth...@gmail.com> wrote:
>
>> Hi All,
>>
>> I have mentioned the sample data below and the operation I need to
>> perform over there,
>>
>> I have delta tables with columns, in that columns I have the data in the
>> string data type(contains the struct data),
>>
>> So, I need to update one key value in the struct field data in the string
>> column of the delta table.
>>
>> Note: I can able to explode the string column into the struct field and
>> into the individual field by using the following operation in the spark,
>>
>> [image: image.png]
>>
>> df_new = spark.read.json(df.rdd.map(lambda x: '{"data": x.data }')
>>
>> Could you suggest a possible way to perform the required action in an
>> optimistic way?
>>
>> Note: Please feel free to ask, if you need further information.
>>
>> Thanks & regards,
>> Karthick
>>
>> On Mon, Oct 2, 2023 at 10:53 PM Karthick Nk <kcekarth...@gmail.com>
>> wrote:
>>
>>> Hi community members,
>>>
>>> In databricks adls2 delta tables, I need to perform the below operation,
>>> could you help me with your thoughts
>>>
>>> I have the delta tables with one colum with data type string , which
>>> contains the json data in string data type, I need to do the following
>>> 1. I have to update one particular field value in the json and update it
>>> back in the same column of the data.
>>>
>>> Example :
>>>
>>> In string column, inside json I have one field with value in hexadecimal.
>>> Like { version : ''0xabcd1234"}
>>>
>>> I have to convert this field into corresponding integer value and update
>>> back into same strong column json value.
>>> Note: I have to perform this operation within this column. This column
>>> is basically with data type string in delta table.
>>>
>>> Could you suggest some sample example.
>>>
>>> Thanks in advance.
>>>
>>
