atom ANY, – value for primitive types, null for array & object id INTEGER – integer ID for this element parent INTEGER, – integer ID for the parent of this element fullkey TEXT, – full path describing the current element path TEXT, – path to the container of the current row json JSON HIDDEN, – 1st input parameter: the raw JSON root TEXT HIDDEN – 2nd input parameter: the PATH at which to start ) The only way i found for now to show such constructs in an Grid is via an View from the the Sqlite Database. The json_tree and json_each gives bach an virtual table like this:ĬREATE TABLE json_tree( key ANY, – key for current element relative to its parent value ANY, – value for the current element type TEXT, – ‘object’,‘array’,‘string’,‘integer’, etc. SELECT DISTINCT json_extract(big.json,’$.id’) FROM big, json_tree(big.json, ‘$.partlist’) WHERE json_tree.key=‘uuid’ AND json_tree.value=‘6fa5181e-5721-11e5-a04e-57f3d7b32808’ my problem is 'json_tree(…) is not accepted as table name. One show stopper is i can not use the syntax for using it in scriptcase. Post back if you run into any issues! Sorry again about the delay.I need some directions to use the json extension for sqlite in scriptcase!Īfter some PHP recompilation tasks it is possible for me to use the json1 functions in PHP with scriptcase. (If you’re curious, the idea of catchupsrv is that if you had an airgapped machine with algod on it and you wanted to bring its ledger relatively up to date, you could use this tool to download all the blocks using a different machine, transfer them to the airgapped machine, and then let the airgapped algod catch up (and let algod fully validate certificates and everything) using the downloaded blocks.) with REST-style web services using XML and JSON Storing data Data is the lifeblood of applications. (The filename for block N will be, for bizarre reasons, N in base 36.) The README has more information: Working with the SQLite database engine using ADO. Try to open the database file using JetBrains own Database tool. (It also should be insalled when you install algod, if I’m not mistaken.) You can use catchupsrv can download all the blocks (and certs) and put each one in a separate file. Create a new SQLite database file with at least one JSON field. Rather than extracting each msgpack-encoded block from the ledger sqlite file, you may find it more convenient to use another tool called catchupsrv. There’s also a -b32 flag if you want to print blobs like hashes and addresses in base32 instead of base64. So if you’ve dumped the msgpack blob for block 100 into block100.msgpack, you could dump the JSON representation to a file with msgpacktool -d block100.json It reads from stdin and writes to stdout. Msgpacktool can decode msgpack (into JSON) with the -d flag and encode JSON into msgpack with the -e flag. SQLite 3.38.0 introduced improvements to JSON query syntax using -> and -> operators that are similar to PostgreSQL JSON functions.In this post we will look into how this simplifies the query syntax. (If you do need to build it from source and you run into any issues, post again and either I or someone else should be able to help.) I’m pretty sure it gets installed when you install algod,īut if not it’s in the github repo. Sorry about the delay! To convert between msgpack and json, you can use msgpacktool.
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