Hi Team,
Sample Merge query:
df.createOrReplaceTempView("source")
MERGE INTO iceberg_hive_cat.iceberg_poc_db.iceberg_tab target
USING (SELECT * FROM source)
ON target.col1 = source.col1// this is my bucket column
WHEN MATCHED THEN UPDATE SET *
WHEN NOT MATCHED THEN INSERT *
The source dataset
> HI
>
> I am using spark with iceberg, updating the table with 1700 columns ,
> We are loading 0.6 Million rows from parquet files ,in future it will be
> 16 Million rows and trying to update the data in the table which has 16
> buckets .
> Using the default partitioner of spark .Also we don't do
HI
I am using spark with iceberg, updating the table with 1700 columns ,
We are loading 0.6 Million rows from parquet files ,in future it will be 16
Million rows and trying to update the data in the table which has 16
buckets .
Using the default partitioner of spark .Also we don't do any repartiti
Spark moderator supress this user please. Unnecessary Spam or apache spark
account is hacked ?
On Wed, Apr 29, 2020, 11:56 AM Zahid Amin wrote:
> How can it be rumours ?
> Of course you want to suppress me.
> Suppress USA official Report out TODAY .
>
> > Sent: Wednesday, April 29, 2020 at 8:
u want to produce your transformed
> dataframe
>
> Not sure if I understand the question though, If the goal is just an end
> state transformed dataframe that can easily be done
>
>
> Regards
> Sam
>
> On Wed, Feb 15, 2017 at 6:34 PM, Gaurav Agarwal
> wrote:
>
Hello
We want to enrich our spark RDD loaded with multiple Columns and multiple
Rows . This need to be enriched with 3 different tables that i loaded 3
different spark dataframe . Can we write some logic in spark so i can
enrich my spark RDD with different stattic tables.
Thanks
Hello
I have loaded 3 dataframes with 3 different Static tables. Now i got the
csv file and with the help of Spark i loaded the csv into dataframe and
named it as temporary table as "Employee".
Now i need to enrich the columns in the Employee DF and query any of 3
static table respectively with so
> Hi
> I am running spark on windows but a standalone one.
>
> Use this code
>
> SparkConf conf = new
SparkConf().setMaster("local[1]").seatAppName("spark").setSparkHome("c:/spark/bin/spark-submit.cmd");
>
> Where sparkhome is the path where u extracted ur spark binaries till
bin/*.cmd
>
> You will
)
>
>
>
> HTH
>
> --
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn
> https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>
>
>
> http://talebzadehmich.wordpress.com
>
>
>
> NOTE: The information in this emai
Hi
Can I load the data into spark from oracle storedproc
Thanks
e optimized execution plan, according to the query execution
> tree. This is the point when data gets* materialized
> */
>
> > On Feb 11, 2016, at 11:20 AM, Gaurav Agarwal
> wrote:
> >
> > Hi
> >
> > When the dataFrame will load the table into
Hi
When the dataFrame will load the table into memory when it reads from
HIVe/Phoenix or from any database.
These are two points where need one info , when tables will be loaded into
memory or cached when at point 1 or point 2 below.
1. DataFrame df = sContext.load("jdbc","(select * from employ
s prop = new java.util.Properties();
>
> prop.setProperty("user","user");
>
> prop.setProperty("password","password");
>
> DataFrame tableA = sqlContext.read().jdbc(url,"tableA",prop);
>
> DataFrame tableB = sqlContext.read().jd
Hi
Can we load 5 data frame for 5 tables in one spark context.
I am asking why because we have to give
Map options= new hashmap();
Options.put(driver,"");
Options.put(URL,"");
Options.put(dbtable,"");
I can give only table query at time in dbtable options .
How will I register multiple queries a
I am going to have the above scenario without using limit clause then will
it work check among all the partitions.
On Dec 24, 2015 9:26 AM, "汪洋" wrote:
> I see.
>
> Thanks.
>
>
> 在 2015年12月24日，上午11:44，Zhan Zhang 写道：
>
> There has to have a central point to collaboratively collecting exactly
> 10
If I have 3 more cluster and spark is running there .if I load the records
from phoenix to spark rdd and fetch the records from the spark through data
frame.
Now I want to know that spark is distributed?
So I fetch the records from any of the node, records will be retrieved
present on any node pre
We are able to retrieve data frame by filtering the rdd object . I need to
convert that data frame into java pojo. Any idea how to do that
1. how to work with partition in spark streaming from kafka
2. how to create partition in spark streaming from kafka
when i send the message from kafka topic having three partitions.
Spark will listen the message when i say kafkautils.createStream or
createDirectstSream have local[4]
Now i want
of
spark api i have to see to find out
On 8/21/15, Gaurav Agarwal wrote:
> Hello
>
> Regarding Spark Streaming and Kafka Partitioning
>
> When i send message on kafka topic with 3 partitions and listens on
> kafkareceiver with local value[4] . how will i come to know in Spar
Hello
Regarding Spark Streaming and Kafka Partitioning
When i send message on kafka topic with 3 partitions and listens on
kafkareceiver with local value[4] . how will i come to know in Spark
Streaming that different Dstreams are created according to partitions of
kafka messages .
Thanks
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