dennyglee / databricks Goto Github PK
View Code? Open in Web Editor NEWRepository of sample Databricks notebooks
Home Page: https://databricks.com/resources/selected-notebooks#databricks-jump-start
Repository of sample Databricks notebooks
Home Page: https://databricks.com/resources/selected-notebooks#databricks-jump-start
path of code -->databricks/notebooks/Users/[email protected]/examples/Flights Graph with Spark and DocumentDB.scala
import azure.spark.docdb._
import azure.spark.docdb.config._
import azure.spark.docdb.config.DocdbConfig._ all these imports are throwing me error
Could you please help me with that repository or jar that i need to include as soon as possible
Thanks in adavance
Hi Denny,
(Sorry for the re-post)
I am trying the TensorFrames Quick Start.ipynb and am running into some issues. Already have TensorFlow on the system:
!pip show tensorflow
Name: tensorflow
Version: 0.9.0
Summary: TensorFlow helps the tensors flow
...
In addition, have added the following jars to be picked up by the kernel:
tensorframes-0.2.8-s_2.11.jar
scala-logging-slf4j_2.11-2.1.2.jar
scala-logging-api_2.11-2.1.2.jar
But the following section fails with "RuntimeError: maximum recursion depth exceeded in cmp":
with tf.Graph().as_default() as g:
# The TensorFlow placeholder that corresponds to column 'x'.
# The shape of the placeholder is automatically inferred from the DataFrame.
x = tfs.block(df, "x")
# The output that adds y to x
z = tf.add(x, 3, name='z')
# The resulting dataframe
df2 = tfs.map_blocks(z, df)
# Note that `z` is the tensor output from the `tf.add` operation
print z
I tried setting the recursion limit to 10000, but it still fails, so not sure what I may be missing. Any thoughts to resolve this is greatly appreciated!
Thanks,
Rajesh
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