[IGNITE-2155] CacheStarSchemaExample isn't clear and it seems the output is wrong

• Type: Bug
• Status: Closed
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 1.5.0.final
• Fix Version/s: 1.5.0.final
• Component/s: general
• Assignee: Ilya Suntsov
• Reporter: Sergey Kozlov
• Created: 14/Dec/15 12:12
• Updated: 17/Dec/15 09:26
• Resolved: 15/Dec/15 17:01

Description

I run org.apache.ignite.examples.datagrid.starschema.CacheStarSchemaExample and can't understand what actually it does and what the ouptut means (e.g. why all Ids are negative numbers)?

All purchases made at store1:
    FactPurchase [id=-1604674364, productId=-1604674374, storeId=-1604674395, purchasePrice=10.0]
    FactPurchase [id=-1604674362, productId=-1604674377, storeId=-1604674395, purchasePrice=12.0]
    FactPurchase [id=-1604674349, productId=-1604674382, storeId=-1604674395, purchasePrice=25.0]
    FactPurchase [id=-1604674346, productId=-1604674393, storeId=-1604674395, purchasePrice=28.0]
    FactPurchase [id=-1604674343, productId=-1604674375, storeId=-1604674395, purchasePrice=31.0]
    FactPurchase [id=-1604674342, productId=-1604674392, storeId=-1604674395, purchasePrice=32.0]
    FactPurchase [id=-1604674337, productId=-1604674375, storeId=-1604674395, purchasePrice=37.0]
    FactPurchase [id=-1604674332, productId=-1604674384, storeId=-1604674395, purchasePrice=42.0]
    FactPurchase [id=-1604674325, productId=-1604674388, storeId=-1604674395, purchasePrice=49.0]
    FactPurchase [id=-1604674323, productId=-1604674391, storeId=-1604674395, purchasePrice=51.0]
    FactPurchase [id=-1604674317, productId=-1604674390, storeId=-1604674395, purchasePrice=57.0]
    FactPurchase [id=-1604674316, productId=-1604674389, storeId=-1604674395, purchasePrice=58.0]
    FactPurchase [id=-1604674311, productId=-1604674389, storeId=-1604674395, purchasePrice=63.0]
    FactPurchase [id=-1604674305, productId=-1604674377, storeId=-1604674395, purchasePrice=69.0]
    FactPurchase [id=-1604674300, productId=-1604674382, storeId=-1604674395, purchasePrice=74.0]
    FactPurchase [id=-1604674296, productId=-1604674392, storeId=-1604674395, purchasePrice=78.0]
    FactPurchase [id=-1604674295, productId=-1604674378, storeId=-1604674395, purchasePrice=79.0]
    FactPurchase [id=-1604674293, productId=-1604674377, storeId=-1604674395, purchasePrice=81.0]
    FactPurchase [id=-1604674289, productId=-1604674378, storeId=-1604674395, purchasePrice=85.0]
    FactPurchase [id=-1604674285, productId=-1604674379, storeId=-1604674395, purchasePrice=89.0]
    FactPurchase [id=-1604674281, productId=-1604674379, storeId=-1604674395, purchasePrice=93.0]
    FactPurchase [id=-1604674371, productId=-1604674383, storeId=-1604674395, purchasePrice=3.0]
    FactPurchase [id=-1604674370, productId=-1604674392, storeId=-1604674395, purchasePrice=4.0]
    FactPurchase [id=-1604674368, productId=-1604674389, storeId=-1604674395, purchasePrice=6.0]
    FactPurchase [id=-1604674363, productId=-1604674375, storeId=-1604674395, purchasePrice=11.0]
    FactPurchase [id=-1604674357, productId=-1604674393, storeId=-1604674395, purchasePrice=17.0]
    FactPurchase [id=-1604674355, productId=-1604674380, storeId=-1604674395, purchasePrice=19.0]
    FactPurchase [id=-1604674353, productId=-1604674384, storeId=-1604674395, purchasePrice=21.0]
    FactPurchase [id=-1604674348, productId=-1604674376, storeId=-1604674395, purchasePrice=26.0]
    FactPurchase [id=-1604674340, productId=-1604674383, storeId=-1604674395, purchasePrice=34.0]
    FactPurchase [id=-1604674339, productId=-1604674379, storeId=-1604674395, purchasePrice=35.0]
    FactPurchase [id=-1604674336, productId=-1604674385, storeId=-1604674395, purchasePrice=38.0]
    FactPurchase [id=-1604674335, productId=-1604674380, storeId=-1604674395, purchasePrice=39.0]
    FactPurchase [id=-1604674333, productId=-1604674390, storeId=-1604674395, purchasePrice=41.0]
    FactPurchase [id=-1604674331, productId=-1604674385, storeId=-1604674395, purchasePrice=43.0]
    FactPurchase [id=-1604674329, productId=-1604674388, storeId=-1604674395, purchasePrice=45.0]
    FactPurchase [id=-1604674327, productId=-1604674391, storeId=-1604674395, purchasePrice=47.0]
    FactPurchase [id=-1604674322, productId=-1604674385, storeId=-1604674395, purchasePrice=52.0]
    FactPurchase [id=-1604674321, productId=-1604674380, storeId=-1604674395, purchasePrice=53.0]
    FactPurchase [id=-1604674319, productId=-1604674386, storeId=-1604674395, purchasePrice=55.0]
    FactPurchase [id=-1604674315, productId=-1604674374, storeId=-1604674395, purchasePrice=59.0]
    FactPurchase [id=-1604674314, productId=-1604674383, storeId=-1604674395, purchasePrice=60.0]
    FactPurchase [id=-1604674312, productId=-1604674385, storeId=-1604674395, purchasePrice=62.0]
    FactPurchase [id=-1604674302, productId=-1604674386, storeId=-1604674395, purchasePrice=72.0]
    FactPurchase [id=-1604674298, productId=-1604674380, storeId=-1604674395, purchasePrice=76.0]
    FactPurchase [id=-1604674291, productId=-1604674390, storeId=-1604674395, purchasePrice=83.0]
    FactPurchase [id=-1604674282, productId=-1604674374, storeId=-1604674395, purchasePrice=92.0]
    FactPurchase [id=-1604674279, productId=-1604674378, storeId=-1604674395, purchasePrice=95.0]
IDs of products [p1=-1604674391, p2=-1604674380, p3=-1604674383]
All purchases made at store2 for 3 specific products:
    FactPurchase [id=-1604674366, productId=-1604674380, storeId=-1604674394, purchasePrice=8.0]
    FactPurchase [id=-1604674354, productId=-1604674391, storeId=-1604674394, purchasePrice=20.0]
    FactPurchase [id=-1604674308, productId=-1604674380, storeId=-1604674394, purchasePrice=66.0]
    FactPurchase [id=-1604674341, productId=-1604674380, storeId=-1604674394, purchasePrice=33.0]
    FactPurchase [id=-1604674338, productId=-1604674391, storeId=-1604674394, purchasePrice=36.0]
    FactPurchase [id=-1604674334, productId=-1604674391, storeId=-1604674394, purchasePrice=40.0]
    FactPurchase [id=-1604674318, productId=-1604674383, storeId=-1604674394, purchasePrice=56.0]

I suppose to refactor the example and porvide more clear the output

Same issue is for org.apache.ignite.scalar.examples.ScalarSnowflakeSchemaExample