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DATA-868 - updated Query Examples notebook
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examples/Query Examples.ipynb

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"columns = cli.get_machine_schema(machines[0])['display'].to_list()"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Selecting a Particular Development Pipeline schema\n",
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"\n",
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"You can select development pipeline schema using following code example:\n",
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"\n",
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"Note:- By default, the production pipeline schema will be considered to retrive data from the tenant"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"db_schema = 'pipeline_id' \n",
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"cli.select_db_schema(schema_name=db_schema)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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}
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],
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"metadata": {
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"interpreter": {
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"hash": "767d51c1340bd893661ea55ea3124f6de3c7a262a8b4abca0554b478b1e2ff90"
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},
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"kernelspec": {
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"display_name": "Python 3.7.5 64-bit ('usr')",
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.5"
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"version": "3.10.9"
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},
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"orig_nbformat": 2
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"orig_nbformat": 2,
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"vscode": {
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"interpreter": {
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"hash": "b0fa6594d8f4cbf19f97940f81e996739fb7646882a419484c72d19e05852a7e"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2

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