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fixes dataSourceName varaible ref (#14340)

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Charles Smith 2023-05-30 13:15:27 -07:00 committed by GitHub
parent c244c3de53
commit 37cb76d545
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1 changed files with 3 additions and 3 deletions
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6
examples/quickstart/jupyter-notebooks/sql-tutorial.ipynb
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@ -156,7 +156,7 @@
"metadata": {},
"outputs": [],
"source": [
"sql_client.wait_until_ready(dataSourceName)"
"sql_client.wait_until_ready('wikipedia-sql-tutorial')"
]
},
{
@ -169,7 +169,7 @@
"Druid supports a variety of datasources, with the table datasource being the most common. In Druid documentation, the word \"datasource\" often implicitly refers to the table datasource.\n",
"The [Datasources](https://druid.apache.org/docs/latest/querying/datasource.html) topic provides a comprehensive overview of datasources supported by Druid SQL.\n",
"\n",
"In Druid SQL, table datasources reside in the `druid` schema. This is the default schema, so table datasources can be referenced as either `druid.dataSourceName` or `dataSourceName`.\n",
"In Druid SQL, table datasources reside in the `druid` schema. This is the default schema, so table datasources can be referenced as either `druid.DATASOURCE_NAME` or `DATASOURCE_NAME`.\n",
"\n",
"For example, run the next cell to return the rows of the column named `channel` from the `wikipedia-sql-tutorial` table. Because this tutorial is running in Jupyter, the cells use the LIMIT clause to limit the size of the query results for display purposes. The cell uses the built-in table formatting feature of the Python API. You can also retrieve the values as a Python object if you wish to perform additional processing."
]
@ -242,7 +242,7 @@
"metadata": {},
"outputs": [],
"source": [
"display.table(dataSourceName)"
"display.table('wikipedia-sql-tutorial')"
]
},
{