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Troubleshoot 12088
Overview This page collects common issues encountered when using DuckDB-Wasm, together with their workarounds. If you run into a problem that is not covered here, search the duckdb-wasm issue tracker on GitHub. Network Error When Querying R ... row groups be skipped rather than loaded into memory. See Limitations for the other constraints of the WebAssembly client. Threading Is Not Available By default, the WebAssembly client uses a single thread; multithreading is available through the coi bund ... , DuckDB-Wasm falls back to the single-threaded mvp or eh bundle. See Cross-Origin Isolation for the required headers, and Threading for how to select and configure the coi bundle. Further Reading DuckDB Wasm Client — installation, basic usage, and the li ... ed, and served, including the httpfs CORS behavior. Deploy — serving components and configuring cross-origin isolation for threading. ...
https://man.mtool.work/duckdb/2.0/clients/wasm/troubleshoot.html
Non-Deterministic Behavior 10750
Several operators in DuckDB exhibit non-deterministic behavior. Most notably, SQL uses set semantics, which allows results to be returned in a different order. DuckDB exploits this to improve performance, particularly when performing multi- ... L, NULL]) AS arr; For this query, both [A, B] and [B, A] are valid results. Floating-Point Aggregate Operations with Multi-Threading Floating-point inaccuracies may produce different results when run in multi-threaded configurations: For example, stddev a ... In these cases, try the following workarounds: Limit the number of threads to prevent non-determinism introduced by multi-threading. sql SET threads = 1; Enforce ordering. For example, you can use the ORDER BY ALL clause : sql SELECT * FROM ( SELECT 'A' ...
https://man.mtool.work/duckdb/2.0/operations_manual/non-deterministic_behavior.h...
Java (JDBC) Client 10469
Installation To use the DuckDB Java (JDBC) client, visit the Java installation page . The latest stable version of the DuckDB Java (JDBC) client is 2.0.0. The DuckDB Java (JDBC) client lets Java applications query DuckDB through the standar ... ycle in full: the URL forms the driver accepts, DuckDB and driver configuration options, read-only mode, instance caching, threading, and shutdown. Further Reading Define Connections — the JDBC URL forms, configuration options, instance caching, threading ...
https://man.mtool.work/duckdb/2.0/clients/java/overview.html
Instantiate 10469
Overview DuckDB-Wasm can be instantiated in several ways, depending on how your application bundles and serves its assets. Each approach resolves the mainModule (the WebAssembly file) and the mainWorker (the worker script) for the browser's ... + and use exceptions to propagate errors, so native exception handling avoids emulating them through JavaScript coi — adds threading for parallel query execution; it requires the page to be cross-origin isolated and must be opted into explicitly (see Thre ... s : the number of threads to use. This takes effect only with the threaded coi bundle on a cross-origin-isolated page (see Threading ). query : controls how query results are converted from Arrow into JavaScript values. opfs : controls how opfs:// files o ... crosecond) time values. queryPollingInterval : the interval, in milliseconds, at which streaming queries poll for results. Threading By default DuckDB-Wasm runs on a single thread. The threaded coi bundle runs queries across multiple threads, but it has t ...
https://man.mtool.work/duckdb/2.0/clients/wasm/instantiation.html
Multiple Python Threads 9941
This page demonstrates how to simultaneously insert into and read from a DuckDB database across multiple Python threads. This could be useful in scenarios where new data is flowing in and an analysis should be periodically re-run. Note that ... rary. Note: if using Pandas, add import pandas at the top of the script as well (as it must be imported prior to the multi-threading). Then connect to a file-backed DuckDB database and create an example table to store inserted data. This table will track ... insert and automatically insert the timestamp when that insert occurred using the DEFAULT expression . import duckdb from threading import Thread, current_thread import random duckdb_con = duckdb.connect('my_persistent_db.duckdb') # Use connect without p ...
https://man.mtool.work/duckdb/2.0/guides/python/multiple_threads.html
Deploy 9132
Overview Deploying DuckDB-Wasm means serving its components so that the browser can fetch and instantiate them. This page describes each component a deployment needs to serve, how the worker and WebAssembly variants relate, how extensions a ... y with Wasm-level exception handling added, which improves performance coi targets WebAssembly with exception handling and threading, which enables parallel query execution; it requires the deployment to be cross-origin isolated (see Cross-Origin Isolatio ... uckDB Wasm Client — the layered API and example deployments this page builds on. Troubleshoot — cross-origin isolation for threading and other deployment-related issues. ...
https://man.mtool.work/duckdb/2.0/clients/wasm/deploying_duckdb_wasm.html
Python API 8604
Installation To use the DuckDB Python client, visit the Python installation page . The latest stable version of the DuckDB Python client is 2.0.0. Installation The DuckDB Python API can be installed using pip : pip install duckdb . Please s ... shared default connection, so the same holds for them. To run queries in parallel, give each thread its own cursor: import threading import duckdb con = duckdb.connect() con.execute("CREATE TABLE numbers AS SELECT range AS n FROM range(1000)") def count_e ... r, results): results.append(cursor.sql("SELECT count(*) FROM numbers WHERE n % 2 = 0").fetchall()) results = [] threads = [threading.Thread(target=count_even, args=(con.cursor(), results)) for _ in range(4)] for thread in threads: thread.start() for threa ...
https://man.mtool.work/duckdb/2.0/clients/python/overview.html
Troubleshooting 7530
Troubleshooting Running EXPLAIN Renders Newlines In Python, the output of the EXPLAIN statement contains hard line breaks ( \n ): In [1]: import duckdb ...: duckdb.sql("EXPLAIN SELECT 42 AS x") Out[1]: ┌───────────────┬───────────────────── ... ck down. Below is a list of these issues that you might have to be aware of, depending on your workflow. Numpy Import Multithreading When making use of multi threading and fetching results either directly as Numpy arrays or indirectly through a Pandas Dat ...
https://man.mtool.work/duckdb/2.0/clients/python/known_issues.html
Julia Client 7530
The DuckDB Julia package provides a high-performance front-end for DuckDB. Much like SQLite, DuckDB runs in-process within the Julia client, and provides a DBInterface front-end. The package also supports multi-threaded execution. It uses J ... ulia threads/tasks for this purpose. If you wish to run queries in parallel, you must launch Julia with multi-threading support (by e.g., setting the JULIA_NUM_THREADS environment variable). Installation Install DuckDB as follows: using Pkg P ...
https://man.mtool.work/duckdb/2.0/clients/tertiary_clients/julia.html
DuckDB Wasm Client 7530
Installation To use the DuckDB Wasm client, visit the duckdb-wasm GitHub repository . The latest stable version of the DuckDB WebAssembly client is 2.0.0. DuckDB-Wasm is a version of DuckDB that has been compiled to WebAssembly , the portab ... ile instead (see duckdb-wasm issue #2153 ). Limitations By default, the WebAssembly client only uses a single thread. Multithreading is available but still experimental. The WebAssembly client has a limited amount of memory available. WebAssembly limits t ... ity considerations involved. Troubleshoot — common issues and their workarounds, including CORS errors, memory limits, and threading. Clients Overview — the other client APIs DuckDB provides alongside Wasm. ...
https://man.mtool.work/duckdb/2.0/clients/wasm/overview.html
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