updated readme
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#### How to use:
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* Rename the file "properties-model.ini" to "properties.ini"
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* Fill with your own credentials
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* pip install requeriments.txt
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* `pip install requeriments.txt`
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----
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The proposal of this work is to compare the speed in read/writing a midle level of data ( a dataset with 9 columns and 50.000 lines) to four diferent databases:
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The proposal of this work is to compare the speed in read/writing a midle level of data (a dataset with 9 columns and 1.000.000 lines) to seven diferent databases:
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* ClickHouse
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* InfluxDB
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* Postgresql
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* Parquet (in a S3 Minio Storage)<br>
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ToDo:
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* DuckDB with Polars
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* DuckDB
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* MongoDB
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* Kdb+
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Deve-se relevar:
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é uma "cold-storage" ou "frezze-storage"? <br>
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influxdb: alta leitura e possui a vantagem da indexaçõa para posterior vizualização de dados em gráficos
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notas:
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* comparar tamanho do csv com parquet
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+3
-4
@@ -1249,7 +1249,6 @@
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"cell_type": "markdown",
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"id": "4409cc89-ed14-4313-ac89-65b826038533",
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true,
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"tags": []
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},
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"source": [
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@@ -1258,7 +1257,7 @@
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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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"execution_count": 31,
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"id": "14f63810-1943-4e28-9bce-2148be6be02d",
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"metadata": {},
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"outputs": [],
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@@ -1269,7 +1268,7 @@
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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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"execution_count": 32,
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"id": "8ff6c090-7e02-435a-a179-f2aab81da972",
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"metadata": {},
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"outputs": [],
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@@ -1300,7 +1299,7 @@
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"outputs": [],
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"source": [
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"%%time\n",
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"# send df to kd+ in memory bank\n",
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"# send df to kbd+ in memory bank\n",
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"q.sendSync(\"{t::x}\", data)"
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]
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},
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