lineage | based graph visualization : genealogies and general graphs | Data Visualization library

I am trying to build Lineage 19.0 on a VPS running Fedora 34 Workstation. It has 8GB RAM and 20GB Swap. It is virtualized in KVM.

It had done all the other work correctly and I have doubled-check if I am leaving out on any dependencies. I had also recloned the hardware/ril path using https://github.com/LineageOS/android_hardware_ril/tree/lineage-19.0/ but it also didn't work.

This is the error.

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I have a One Plus 6T. When I got it 1 year ago, I flashed the newest firmware from the official One Plus page (https://www.oneplus.com/de/support/softwareupgrade/) via fastboot in both slots and then installed LinageOS 17.1 for fajita. Now 18.1 is available since some time and I wanted to upgrade. The official page suggests using adb side load (https://wiki.lineageos.org/devices/fajita/upgrade) When going through the steps I noticed two symptoms:

1. USB-File transfer is not possible.
2. ADB does not recognize my device when it is in file transfer mode (it does work for USB-Tethering, MIDI and PTP)

I also see sideload failing:

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I am using Azure Blob to store my state. I follow these [steps] (https://github.com/hashicorp/terraform-cdk/blob/main/docs/working-with-cdk-for-terraform/remote-backend.md#migrating-local-state-storage-to-remote) the only difference is that I am using the AzurermBackend. The problem is when I do terraform init it does not migrate the existing state to the blob, it just create a new one in which there is no resources, so when i execute cdktf diff terraform says that it needs to create each resource that was already created in the local state. I checked the file the file is empty. I also tried with thr stack.addOveride that don't works too. Next thing I did is I execute the TF_LOG=DEBUG terraform init and got the following logs:

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I have the problem that in our Snowflake DWH views were built on of top views (& again on top of views). If am now trying to change the underlying table the first view is derived from, I am afraid to break things.

Heres an example:

We have a table with REGISTRATIONS for several countries. Based on that table a view is created only showing data from US (REGISTRATIONS_US). This view is being used to built a view containing US data from lets say 2021 (REGISTRATIONS_US_2021). This view is again being used to build a view containing data from US in 2021 for a specific month, lets say July (REGISTRATIONS_US_202106). It can also happen that a view is used to generate more than one view (see for example REGISTRATIONS_US_NYC in the table provided below).

If I would now change the registrations table all the related views are affected. Therefore I need to find out how the views are related.

The only information I have is the one available in INFORMATION_SCHEMA:

TABLE_NAME VIEW_DEFINITION REGISTRATIONS_US CREATE VIEW REGISTRATIONS_US AS
SELECT * FROM REGISTRATIONS WHERE market = 'US' REGISTRATIONS_US_2021 CREATE VIEW REGISTRATIONS_US_2021 AS
SELECT * FROM REGISTRATIONS_US WHERE year = 2021 REGISTRATIONS_US_202106 CREATE VIEW REGISTRATIONS_US_202106 AS
SELECT * FROM REGISTRATIONS_US_2021 WHERE month_id = '202106' REGISTRATIONS_US_NYC CREATE VIEW REGISTRATIONS_US_NYC AS
SELECT * FROM REGISTRATIONS_US WHERE city = 'NYC'

I would like to gain the following solution:

LINEAGE REGISTRATIONS_US > REGISTRATIONS_US_NYC REGISTRATIONS_US > REGISTRATIONS_US_2021 > REGISTRATIONS_US_202106

I guess that should be somehow possible using a recursive CTE. But I just cannot imagine how since most examples of recursive CTEs to be found on Google already show the hierarchy in the table based on ids (typical manager/ employee example).

I hope my question is clear & someone can help.

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I am trying to better understand BigQuery queryPlan, and try to establish data lineage at a column-level using that queryPlan.

Everything started fine, READ, COMPUTE, etc... are pretty understandable, then I crossed a JOIN step. Using a simple query that will join two tables on a single column, and output columns from both tables:

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I've Two workflowTemplates generate-output, lib-read-outputs and One workflow output-paramter as follows

1. generate-output.yaml

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I have a dataframe that shows lineage (in the sample data provided it is a person's route). I have another dataframe that gives me preceding information about the routes, which should slot in the same format.

First sample looks like this:

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I have this dataframe in python df

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I want to create a parquet table with certain types of fields:

name_process: String id_session: Int time_write: LocalDate or Timestamp key: String value: String

name_process id_session time_write key value OtherClass jsdfsadfsf 43434883477 schema0.table0.csv Success OtherClass jksdfkjhka 23212123323 schema1.table1.csv Success OtherClass alskdfksjd 23343212234 schema2.table2.csv Failure ExternalClass sdfjkhsdfd 34455453434 schema3.table3.csv Success

I want to write such a table correctly. With the correct data types. Then I'm going to read the partitions from it. I'm trying to implement read and write. But it turns out badly so far.

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