Support for on-demand schedule type and time series

coursera / dataduct

DataPipeline for humans.

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Support for on-demand schedule type and time series #243

Open idralyuk opened 8 years ago

idralyuk commented 8 years ago

Fixes https://github.com/coursera/dataduct/issues/237

coveralls commented 8 years ago

Coverage decreased (-0.1%) to 64.086% when pulling 24a80ff804876b7412efd9d317b66323641783f4 on quadanalytix:develop into bb499c10f2fe37a9ab48d9df277a73bef1fc4ea2 on coursera:develop.

coveralls commented 8 years ago

Coverage decreased (-0.2%) to 64.025% when pulling eedbdd8eb1a13691bf07b0b3f2e56a31ef6071fc on quadanalytix:develop into bb499c10f2fe37a9ab48d9df277a73bef1fc4ea2 on coursera:develop.

coveralls commented 7 years ago

Changes Unknown when pulling 39895d3d6253796d1cd7fef7cd4bfe1906021ae5 on quadanalytix:develop into on coursera:develop.

coveralls commented 7 years ago

Changes Unknown when pulling ccd20bf18130e8cb60d7a54c8d61c0837334e8e1 on quadanalytix:develop into on coursera:develop.

coveralls commented 7 years ago

Changes Unknown when pulling 3decf0780d759a139fcb548eb17c8dbac384bc5f on quadanalytix:develop into on coursera:develop.

coveralls commented 7 years ago

Changes Unknown when pulling cfe5f7068d97d57b9d43d93c7a6682b0cb7a64a7 on quadanalytix:develop into on coursera:develop.