How to enable Databricks Delta feature












1















Upgraded my Azure Databricks from standard to primary, trying to start using Databricks Delta:



create table t
using delta
as select * from test_db.src_data;



Databricks Delta is not enabled in your account. Please reach out to
your account manager to talk about using Delta;




I'm the account manager but can not find this setting. Where is it?










share|improve this question



























    1















    Upgraded my Azure Databricks from standard to primary, trying to start using Databricks Delta:



    create table t
    using delta
    as select * from test_db.src_data;



    Databricks Delta is not enabled in your account. Please reach out to
    your account manager to talk about using Delta;




    I'm the account manager but can not find this setting. Where is it?










    share|improve this question

























      1












      1








      1








      Upgraded my Azure Databricks from standard to primary, trying to start using Databricks Delta:



      create table t
      using delta
      as select * from test_db.src_data;



      Databricks Delta is not enabled in your account. Please reach out to
      your account manager to talk about using Delta;




      I'm the account manager but can not find this setting. Where is it?










      share|improve this question














      Upgraded my Azure Databricks from standard to primary, trying to start using Databricks Delta:



      create table t
      using delta
      as select * from test_db.src_data;



      Databricks Delta is not enabled in your account. Please reach out to
      your account manager to talk about using Delta;




      I'm the account manager but can not find this setting. Where is it?







      databricks azure-databricks






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 26 '18 at 8:03









      Alex SAlex S

      233




      233
























          1 Answer
          1






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          oldest

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          3














          Alrighty Chilax Buddy, we got this.!! :)




          1. using Spark SQL Context in ipynb and scala notebooks :


          sql("SET spark.databricks.delta.preview.enabled=true")



          sql("SET spark.databricks.delta.merge.joinBasedMerge.enabled = true")




          1. In SQL dbc notebooks:


          SET spark.databricks.delta.preview.enabled=true



          SET spark.databricks.delta.merge.joinBasedMerge.enabled




          1. When you wanna default the cluster to support Delta , while spinning up the cluster on UI in the last column in the parameters for Environment variables


          just this line : spark.databricks.delta.preview.enabled=true




          1. Or the last and the final fun part. When you spin your cluster Select 5.0 or above we should have Delta enabled by default for these guys.


          And finally welcome to Databricks Delta :)



          Also, Just to help you out with your code there it should look like this



          %sql create table t as select * from test_db.src_data
          USING DELTA
          PARTITIONED BY (YourPartitionColumnHere)
          LOCATION "/mnt/data/path/to/the/location/where/you/want/these/parquetFiles/to/be/present"



          Okay I'm pretty sure your path will have a /mnt/data since you are AZURE databricks guy. Make sure you get your schema right because even if you drop the table the data will still reside in the path thats defined in your DDL. So if you re-run it will infer the past schema. In that case you might wanna drop your files or have a Visual on them using %fs ls /mnt/data/blah/blah/blah and drop them if you know what yo are doing using %fs rm -r /mnt/data/that/blah/path/here . Trust me you will need this later.



          If you are enabling Delta on 4.0's clusters there is a 10K limit for UPSERTS using MERGE INTOs if you wanna over come that USE the 5.0 Beta or official 5.0 depends upon your availability.



          Last fact please get rid of all the semi columns in your DDL we don't need it here. It will mess with you when you deploy not now.



          And You are very welcome buddy.!!!!






          share|improve this answer



















          • 1





            Thank you! Already started using with 5.0. Excellent feature!

            – Alex S
            Dec 5 '18 at 5:11











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          1 Answer
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          active

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          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          3














          Alrighty Chilax Buddy, we got this.!! :)




          1. using Spark SQL Context in ipynb and scala notebooks :


          sql("SET spark.databricks.delta.preview.enabled=true")



          sql("SET spark.databricks.delta.merge.joinBasedMerge.enabled = true")




          1. In SQL dbc notebooks:


          SET spark.databricks.delta.preview.enabled=true



          SET spark.databricks.delta.merge.joinBasedMerge.enabled




          1. When you wanna default the cluster to support Delta , while spinning up the cluster on UI in the last column in the parameters for Environment variables


          just this line : spark.databricks.delta.preview.enabled=true




          1. Or the last and the final fun part. When you spin your cluster Select 5.0 or above we should have Delta enabled by default for these guys.


          And finally welcome to Databricks Delta :)



          Also, Just to help you out with your code there it should look like this



          %sql create table t as select * from test_db.src_data
          USING DELTA
          PARTITIONED BY (YourPartitionColumnHere)
          LOCATION "/mnt/data/path/to/the/location/where/you/want/these/parquetFiles/to/be/present"



          Okay I'm pretty sure your path will have a /mnt/data since you are AZURE databricks guy. Make sure you get your schema right because even if you drop the table the data will still reside in the path thats defined in your DDL. So if you re-run it will infer the past schema. In that case you might wanna drop your files or have a Visual on them using %fs ls /mnt/data/blah/blah/blah and drop them if you know what yo are doing using %fs rm -r /mnt/data/that/blah/path/here . Trust me you will need this later.



          If you are enabling Delta on 4.0's clusters there is a 10K limit for UPSERTS using MERGE INTOs if you wanna over come that USE the 5.0 Beta or official 5.0 depends upon your availability.



          Last fact please get rid of all the semi columns in your DDL we don't need it here. It will mess with you when you deploy not now.



          And You are very welcome buddy.!!!!






          share|improve this answer



















          • 1





            Thank you! Already started using with 5.0. Excellent feature!

            – Alex S
            Dec 5 '18 at 5:11
















          3














          Alrighty Chilax Buddy, we got this.!! :)




          1. using Spark SQL Context in ipynb and scala notebooks :


          sql("SET spark.databricks.delta.preview.enabled=true")



          sql("SET spark.databricks.delta.merge.joinBasedMerge.enabled = true")




          1. In SQL dbc notebooks:


          SET spark.databricks.delta.preview.enabled=true



          SET spark.databricks.delta.merge.joinBasedMerge.enabled




          1. When you wanna default the cluster to support Delta , while spinning up the cluster on UI in the last column in the parameters for Environment variables


          just this line : spark.databricks.delta.preview.enabled=true




          1. Or the last and the final fun part. When you spin your cluster Select 5.0 or above we should have Delta enabled by default for these guys.


          And finally welcome to Databricks Delta :)



          Also, Just to help you out with your code there it should look like this



          %sql create table t as select * from test_db.src_data
          USING DELTA
          PARTITIONED BY (YourPartitionColumnHere)
          LOCATION "/mnt/data/path/to/the/location/where/you/want/these/parquetFiles/to/be/present"



          Okay I'm pretty sure your path will have a /mnt/data since you are AZURE databricks guy. Make sure you get your schema right because even if you drop the table the data will still reside in the path thats defined in your DDL. So if you re-run it will infer the past schema. In that case you might wanna drop your files or have a Visual on them using %fs ls /mnt/data/blah/blah/blah and drop them if you know what yo are doing using %fs rm -r /mnt/data/that/blah/path/here . Trust me you will need this later.



          If you are enabling Delta on 4.0's clusters there is a 10K limit for UPSERTS using MERGE INTOs if you wanna over come that USE the 5.0 Beta or official 5.0 depends upon your availability.



          Last fact please get rid of all the semi columns in your DDL we don't need it here. It will mess with you when you deploy not now.



          And You are very welcome buddy.!!!!






          share|improve this answer



















          • 1





            Thank you! Already started using with 5.0. Excellent feature!

            – Alex S
            Dec 5 '18 at 5:11














          3












          3








          3







          Alrighty Chilax Buddy, we got this.!! :)




          1. using Spark SQL Context in ipynb and scala notebooks :


          sql("SET spark.databricks.delta.preview.enabled=true")



          sql("SET spark.databricks.delta.merge.joinBasedMerge.enabled = true")




          1. In SQL dbc notebooks:


          SET spark.databricks.delta.preview.enabled=true



          SET spark.databricks.delta.merge.joinBasedMerge.enabled




          1. When you wanna default the cluster to support Delta , while spinning up the cluster on UI in the last column in the parameters for Environment variables


          just this line : spark.databricks.delta.preview.enabled=true




          1. Or the last and the final fun part. When you spin your cluster Select 5.0 or above we should have Delta enabled by default for these guys.


          And finally welcome to Databricks Delta :)



          Also, Just to help you out with your code there it should look like this



          %sql create table t as select * from test_db.src_data
          USING DELTA
          PARTITIONED BY (YourPartitionColumnHere)
          LOCATION "/mnt/data/path/to/the/location/where/you/want/these/parquetFiles/to/be/present"



          Okay I'm pretty sure your path will have a /mnt/data since you are AZURE databricks guy. Make sure you get your schema right because even if you drop the table the data will still reside in the path thats defined in your DDL. So if you re-run it will infer the past schema. In that case you might wanna drop your files or have a Visual on them using %fs ls /mnt/data/blah/blah/blah and drop them if you know what yo are doing using %fs rm -r /mnt/data/that/blah/path/here . Trust me you will need this later.



          If you are enabling Delta on 4.0's clusters there is a 10K limit for UPSERTS using MERGE INTOs if you wanna over come that USE the 5.0 Beta or official 5.0 depends upon your availability.



          Last fact please get rid of all the semi columns in your DDL we don't need it here. It will mess with you when you deploy not now.



          And You are very welcome buddy.!!!!






          share|improve this answer













          Alrighty Chilax Buddy, we got this.!! :)




          1. using Spark SQL Context in ipynb and scala notebooks :


          sql("SET spark.databricks.delta.preview.enabled=true")



          sql("SET spark.databricks.delta.merge.joinBasedMerge.enabled = true")




          1. In SQL dbc notebooks:


          SET spark.databricks.delta.preview.enabled=true



          SET spark.databricks.delta.merge.joinBasedMerge.enabled




          1. When you wanna default the cluster to support Delta , while spinning up the cluster on UI in the last column in the parameters for Environment variables


          just this line : spark.databricks.delta.preview.enabled=true




          1. Or the last and the final fun part. When you spin your cluster Select 5.0 or above we should have Delta enabled by default for these guys.


          And finally welcome to Databricks Delta :)



          Also, Just to help you out with your code there it should look like this



          %sql create table t as select * from test_db.src_data
          USING DELTA
          PARTITIONED BY (YourPartitionColumnHere)
          LOCATION "/mnt/data/path/to/the/location/where/you/want/these/parquetFiles/to/be/present"



          Okay I'm pretty sure your path will have a /mnt/data since you are AZURE databricks guy. Make sure you get your schema right because even if you drop the table the data will still reside in the path thats defined in your DDL. So if you re-run it will infer the past schema. In that case you might wanna drop your files or have a Visual on them using %fs ls /mnt/data/blah/blah/blah and drop them if you know what yo are doing using %fs rm -r /mnt/data/that/blah/path/here . Trust me you will need this later.



          If you are enabling Delta on 4.0's clusters there is a 10K limit for UPSERTS using MERGE INTOs if you wanna over come that USE the 5.0 Beta or official 5.0 depends upon your availability.



          Last fact please get rid of all the semi columns in your DDL we don't need it here. It will mess with you when you deploy not now.



          And You are very welcome buddy.!!!!







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 28 '18 at 9:24









          Harsha TJHarsha TJ

          666




          666








          • 1





            Thank you! Already started using with 5.0. Excellent feature!

            – Alex S
            Dec 5 '18 at 5:11














          • 1





            Thank you! Already started using with 5.0. Excellent feature!

            – Alex S
            Dec 5 '18 at 5:11








          1




          1





          Thank you! Already started using with 5.0. Excellent feature!

          – Alex S
          Dec 5 '18 at 5:11





          Thank you! Already started using with 5.0. Excellent feature!

          – Alex S
          Dec 5 '18 at 5:11




















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